// File: index
import Iframe from "../src/components/Iframe";
# AlgoTest's Product Documentation
Welcome to **AlgoTest's Product Documentation (Docs)**. Here, you'll find everything you need to know about the [**AlgoTest Platform**](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Learn how to set up your Algo-Trading options strategies effectively for the Indian markets.
AlgoTest is an intuitive algorithmic trading platform for Options and Futures. With AlgoTest, you can engage in algorithmic trading across six indices (**BANKNIFTY**, **NIFTY**, **FINNIFTY**, **MIDCAPNIFTY**, **SENSEX**, **BANKEX**), Crypto, 500 Stock Options (**NIFTY500**), and connect with **50+ broker APIs** seamlessly.
**Why Choose AlgoTest?**
- **User-Friendly Interface**: Designed for traders of all experience levels.
- **Powerful Features**: Backtesting, forward testing, live algo trading, and portfolio management.
- **Educational Resources**: Access tutorials and courses to build your trading expertise.
- **Cost-Effective**: No hefty subscription fees; many tools are free to use.
***
## Key Resources & Tools
**Links to Documentation**
- [**Getting Started with AlgoTest**](/getting-started)
- [**Features available on AlgoTest**](/category/features)
- [**Connecting Brokers on AlgoTest**](/category/broker-setup)
- [**How to Forward Test on AlgoTest**](/forward-test)
- [**Deploying Strategies in the Market**](/algo-trade)
- [**Automating Indicator-Based Strategies with Signals**](/signals)
***
**Popular Features on AlgoTest**
- [**Backtest**](https://algotest.in/feature/backtest?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=backtest)
- [**Forward Test (Paper Trade)**](https://algotest.in/feature/forward-test?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=forward-test)
- [**Algo Trade Futures and Options**](https://algotest.in/feature/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=live)
- [**Options Simulator**](https://algotest.in/feature/simulator?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=simulator)
- [**Strategy Builder**](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder)
- [**Signals - Automate Your Strategies**](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals)
- [**Create Your AlgoTrading Portfolio**](https://algotest.in/portfolio?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product\&utm_term=portfolio)
- [**AlgoTest's Pricing**](https://algotest.in/billing?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product\&utm_term=billing)
- [**Margin Calculator for F\&O**](https://algotest.in/margin-calculator?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product\&utm_term=margin-calculator)
***
**Free Options Charts by AlgoTest**
- [**Banknifty**](https://algotest.in/banknifty-options-chart?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product-feature\&utm_term=options-chart)
- [**Nifty**](https://algotest.in/bankex-index-chart?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product-feature\&utm_term=index-chart)
- [**Finnifty**](https://algotest.in/finnifty-index-chart?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product-feature\&utm_term=index-chart)
- [**Sensex**](https://algotest.in/sensex-index-chart?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product-feature\&utm_term=index-chart)
- [**Midcap**](https://algotest.in/midcapnifty-index-chart?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product-feature\&utm_term=index-chart)
***
**Free Option Chains by AlgoTest**
- [**Banknifty**](https://algotest.in/banknifty-option-chain?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product-feature\&utm_term=option-chain)
- [**Nifty**](https://algotest.in/nifty-option-chain?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product-feature\&utm_term=option-chain)
- [**Finnifty**](https://algotest.in/finnifty-option-chain?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product-feature\&utm_term=option-chain)
- [**Sensex**](https://algotest.in/sensex-option-chain?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product-feature\&utm_term=option-chain)
- [**Midcap**](https://algotest.in/midcapnifty-option-chain?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product-feature\&utm_term=option-chain)
[**RA Algos on AlgoTest**](https://docs.algotest.in/ra-algos/)
[What is RA Algos](https://docs.algotest.in/ra-algos/research-analyst/)
[**Static IP on AlgoTest**](https://docs.algotest.in/static-ip/)
[Static Ip](https://docs.algotest.in/static-ip/)
[**Crypto Trading**](https://docs.algotest.in/crypto-trading/)
[Crypto Trading on AlgoTest](https://docs.algotest.in/crypto-trading/)
***
## Learning Resources
### 🔮 Futures Education
🌟 Key Topics (Click to expand)
- [Overview of Futures](https://docs.algotest.in/financial-education/futures/)
- [📖 Background on Futures](https://docs.algotest.in/financial-education/futures/futures-background/)
- [📝 Futures Contracts](https://docs.algotest.in/financial-education/futures/futures-contracts/)
- [🛡️ Hedging with Futures](https://docs.algotest.in/financial-education/futures/futures-hedging/)
- [📈 Futures Pricing](https://docs.algotest.in/financial-education/futures/futures-pricing/)
- [⚙️ Executing Futures Trades](https://docs.algotest.in/financial-education/futures/futures-trade/)
📊 Advanced Concepts (Click to expand)
- [⚖️ Leverage and Payoff](https://docs.algotest.in/financial-education/futures/leverage-payoff/)
- [🧮 Margin Calculator](https://docs.algotest.in/financial-education/futures/margin-calculator/)
- [💸 Margins and M2M (Mark-to-Market)](https://docs.algotest.in/financial-education/futures/margin-m2m/)
- [🏦 Nifty Futures](https://docs.algotest.in/financial-education/futures/nifty-futures/)
- [📊 Open Interest](https://docs.algotest.in/financial-education/futures/open-interest/)
- [📦 Physical Settlement of Futures](https://docs.algotest.in/financial-education/futures/physical-settlement/)
- [📉 Shorting in Futures](https://docs.algotest.in/financial-education/futures/shorting/)
***
### 💡 Options Education
🌟 Key Topics (Click to expand)
- [Overview of Options](https://docs.algotest.in/financial-education/options/)
- [📈 Buying Call Options](https://docs.algotest.in/financial-education/options/buying-call-options/)
- [📉 Buying Put Options](https://docs.algotest.in/financial-education/options/buying-put-option/)
- [⚡ Delta: Price Sensitivity](https://docs.algotest.in/financial-education/options/delta/)
- [⚙️ Gamma: Rate of Delta Change](https://docs.algotest.in/financial-education/options/gamma/)
📊 Advanced Concepts (Click to expand)
- [🧮 Greek Calculator](https://docs.algotest.in/financial-education/options/greek-calculator/)
- [🔗 Interactions Between Greeks](https://docs.algotest.in/financial-education/options/greek-interactions/)
- [🎯 Mastering Call and Put Options](https://docs.algotest.in/financial-education/options/mastering-call-put/)
- [📌 Understanding Moneyness](https://docs.algotest.in/financial-education/options/moneyness/)
- [📜 Basics of Options Trading](https://docs.algotest.in/financial-education/options/options-trading-basics/)
- [📝 Key Options Trading Terms](https://docs.algotest.in/financial-education/options/options-trading-terms/)
🔀 Trading Strategies (Click to expand)
- [💵 Selling a Put Option](https://docs.algotest.in/financial-education/options/selling-a-put-option/)
- [📈 Selling/Writing Call Options](https://docs.algotest.in/financial-education/options/selling-writing-call-option/)
- [📖 Summarising Call and Put Options](https://docs.algotest.in/financial-education/options/summarising-call-and-put-option/)
- [⏳ Theta: Time Decay](https://docs.algotest.in/financial-education/options/theta/)
- [📊 Understanding Volatility](https://docs.algotest.in/financial-education/options/understanding-volatility/)
- [🌪️ Vega: Sensitivity to Volatility](https://docs.algotest.in/financial-education/options/vega/)
🌈 Volatility Insights (Click to expand)
- [🚀 Volatility Applications in Trading](https://docs.algotest.in/financial-education/options/volatility-applications/)
- [📐 Volatility and Normal Distribution](https://docs.algotest.in/financial-education/options/volatility-normal-distribution/)
### 📚 Options Strategies
🔗 Explore Options Strategies
- [Options Strategies Overview](https://docs.algotest.in/financial-education/options-strategies/)
- [Bear Call Ladder](https://docs.algotest.in/financial-education/options-strategies/bear-call-ladder/)
- [Bear Call Spread](https://docs.algotest.in/financial-education/options-strategies/bear-call-spread/)
- [Bear Put Spread](https://docs.algotest.in/financial-education/options-strategies/bear-put-spread/)
- [Bull Call Spread](https://docs.algotest.in/financial-education/options-strategies/bull-call-spread/)
- [Bull Put Spread](https://docs.algotest.in/financial-education/options-strategies/bull-put-spread/)
- [Call Ratio Back Spread](https://docs.algotest.in/financial-education/options-strategies/call-ratio-back-spread/)
- [Iron Condor](https://docs.algotest.in/financial-education/options-strategies/iron-condor/)
- [Long and Short Strangle](https://docs.algotest.in/financial-education/options-strategies/long-short-strangle/)
- [Long Straddle](https://docs.algotest.in/financial-education/options-strategies/long-straddle/)
- [Max Pain & Put-Call Ratio](https://docs.algotest.in/financial-education/options-strategies/max-pain-put-call-ratio/)
- [Put Ratio Back Spread](https://docs.algotest.in/financial-education/options-strategies/put-ratio-back-spread/)
- [Short Straddle](https://docs.algotest.in/financial-education/options-strategies/short-straddle/)
## Need Help?
[:For
any queries, reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
### Start Your Algo Trading Journey with AlgoTest Today!
---
// File: Signals-AI/quickstart
# Quickstart: Your First Signal in 10 Minutes
In this tutorial you'll build a classic **EMA 20/50 crossover strategy on NIFTY**, check it on the chart, backtest it, and deploy it as a paper trade. No real money is involved at any point.
**What you'll need:**
- An AlgoTest account with an active [Signal Plan](./Pricing)
- About 10 minutes
:::note
Backtesting (step 5) is included on both plans - 5 a week on the 1-Month plan, unlimited on the 6-Month plan. See [Pricing & Plans](./Pricing).
:::
## Step 1: Open Signals AI
Log in to AlgoTest and go to **Signals AI**. You'll see the Canvas (the visual strategy builder) with the AI Agent chat panel.
## Step 2: Describe your Signals Conditions
Type this into the AI Agent input box and press Enter:
> Create an EMA crossover strategy where the entry condition is EMA 20 crossing above EMA 50, and the exit condition is EMA 20 crossing below EMA 50. Use the 5-minute timeframe on NIFTY spot.
The AI builds the strategy and displays it on the Canvas:
A good prompt includes four things: the **instrument** (NIFTY), the **chart data and timeframe** (spot, 5-minute), the **entry condition**, and the **exit condition**. More tips in [Using the AI Agent](./Creating-Signals/Using-the-AI-Agent).
## Step 3: Review the logic on the Canvas
The Canvas shows your strategy as connected blocks (nodes):
- **Entry Conditions:** EMA(20) *crosses above* EMA(50)
- **Exit Conditions:** EMA(20) *crosses below* EMA(50)
Click any node to inspect or change its settings - for example, the EMA period or timeframe. You can edit manually or just tell the AI what to change (e.g., *"change the timeframe to 15 minutes"*). See [Building on the Canvas](./Creating-Signals/Building-on-the-Canvas) for the full node reference.
## Step 4: Preview signals on the chart
Open the **Chart Preview** tab. Every point where your entry or exit condition fired is marked on the NIFTY price chart.
Check a few markers: does each entry sit where EMA 20 crossed above EMA 50? If something looks wrong, fix the logic before going further. The [Entry & Exit Logs](./Validating-Your-Strategy/Entry-Exit-Logs) tab lists the same signals with exact timestamps.
## Step 5: Connect a trade and backtest
A signal only says **when** to act. To backtest, you also define **what** to trade when the signal fires (which option legs, how many lots, stop loss, target).
1. Click **Backtest Result**, then **Connect Now**.
2. Click **Create Strategy**. In the Strategy Builder, keep it simple for now: select NIFTY, and add one leg (e.g., sell an ATM Weekly Put, 1 lot). Click **Save and Continue**.
3. Select the **Backtest Period** and click **Signal BackTest**.
You'll get the full results: cumulative P&L, win rate, max drawdown, year-wise returns, and a downloadable trade log. How to read them is covered in [Backtesting](./Validating-Your-Strategy/Backtesting).
## Step 6: Save the signal
Happy with the results? Click **Save Strategy**, give it a name (e.g., "EMA 20/50 NIFTY"), and save. It now appears in [Saved Signals](./Going-Live/Saved-Signals).
## Step 7: Deploy as a Forward Test
A forward test runs your signals on live market data **without real money** - the safest way to validate it.
1. Click **Deploy Signal** (or go to **Signal → Signal Dashboard → Signals AI → Saved Signals**).
2. Find your signal and click **Forward Test**.
3. The strategy moves to **Signals AI → Forward Test** and shows the **Listening** state - it's now watching live prices and will paper trade automatically when your conditions fire.
:::tip What does "Listening" mean?
Listening means the strategy is active and monitoring live market data for your entry condition. You don't need to re-activate it each day. It stays listening until you pause or delete it. More in [How Signals Work](./How-Signals-Work).
:::
## What's next
- Let it forward test for a few days, then review the results
- Ready for real trading? See [Algo Trade](./Going-Live/Algo-Trade) - you'll need to connect a broker and configure [Execution Settings](./Going-Live/Execution-Settings) first
- Explore all [supported indicators](./Indicators/) to build more sophisticated strategies
---
// File: Signals-AI/How-Signals-Work
# How Signals Work
The concepts behind Signals AI - read this once and the rest of the product makes sense.
## The signal lifecycle
```
Draft (Canvas) → Saved → Deployed (Forward Test or Algo Trade)
│
Listening ⇄ Paused
│
Entry fires → position open
```
1. **Draft** - you build and preview the signals on the Canvas.
2. **Saved** - the signal lives in [Saved Signals](./Going-Live/Saved-Signals); nothing is running.
3. **Deployed** - an *instance* of the signal runs in [Forward Test](./Going-Live/Forward-Test) or [Algo Trade](./Going-Live/Algo-Trade). One saved signal can have multiple instances.
## The Listening state
A deployed strategy in **Listening** is actively monitoring live market data for your entry conditions.
- It stays listening day after day - **no daily reactivation needed**. (For NSE/BSE brokers you still need to log in to your broker daily; see [Algo Trade prerequisites](./Going-Live/Algo-Trade#before-you-deploy--prerequisites).)
- **Pause Listening** suspends monitoring; **Start Listening** resumes it.
- When an entry fires, the strategy manages the position until an exit fires, then resumes watching for the next entry - subject to your [signal limits](./Creating-Signals/Signal-Limits).
## When are conditions evaluated?
Conditions are checked once per candle, on the completed candle's values. An "EMA 9 crosses above EMA 26" is confirmed only when the candle closes. Slower to react, but matches better with the backtest results.
## Why backtest, forward test, and live results differ
Differences between the three are normal. The main causes:
| Cause | Effect |
| ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| **Slippage** | Backtests assume a fill price; live market orders fill at the touch - usually slightly worse. Add Slippages in your backtest results to match better with live results. |
| **Order type behavior** | Limit orders can go unfilled live; backtests don't model missed fills |
| **Latency** | Live signals take real time to reach the exchange |
| **Data differences** | Historical and live feeds can differ in ticks near the trigger price |
Full write-up: [Why live trades differ from forward test and backtest results](https://algotest.in/blog/why-is-there-is-difference-between-my-live-trade-vs-forward-test-vs-backtest-results/)
:::tip
Small, consistent differences are expected. Large or systematic divergence (e.g., live always enters a candle later) usually points to a major mismatch - if this happen, you need to [debug the strategy](./Troubleshooting/Debug).
:::
## Signals vs Signals AI (Classic vs AI)
AlgoTest has two signal products - don't mix up their docs:
| | **Signals (Classic)** | **Signals AI** (these docs) |
| ----------------------------- | ---------------------------------- | --------------------------- |
| Strategy logic lives in | TradingView / Chartink / your code | AlgoTest (Canvas) |
| Needs a TradingView paid plan | Yes (Essential+) | **No** |
| Signal delivery | Webhook alerts into AlgoTest | Built-in; no webhooks |
| Backtesting | Via TradingView | Built into AlgoTest |
---
// File: Signals-AI/index
import Iframe from "../../src/components/Iframe";
import DocCardList from '@theme/DocCardList';
# Signals AI
**Signals AI is a no-code, AI powered strategy builder.** Describe your trading idea in plain English, and Signals AI turns it into a working indicator based strategy that you can visualize, backtest, paper trade, and deploy live - all inside AlgoTest, with no coding and no third party tools like TradingView.
## How it works
1. **Describe your idea** - type something like *"Buy when EMA 20 crosses above EMA 50, exit when it crosses below"* into the [Signals AI Agent](./Creating-Signals/Using-the-AI-Agent), or build the logic yourself on the [Canvas](./Creating-Signals/Building-on-the-Canvas).
2. **See your signals on the chart** - the [Chart Preview](./Validating-Your-Strategy/Chart-Preview) marks every entry and exit on real charts so you can check the logic does what you expect.
3. **Backtest it** - [connect a trade](./Validating-Your-Strategy/Backtesting) and test your strategy against historical data: P\&L, win rate, drawdown, and more.
4. **Deploy it** - run it as a [Forward Test](./Going-Live/Forward-Test) (paper trading) or go live with [Algo Trade](./Going-Live/Algo-Trade) through your broker.
## What you can trade
| Market | Instruments | Chart data types |
| -------------- | ------------------------------------------------------ | ----------------------------------------------------------- |
| Indian indices | NIFTY, BANKNIFTY, SENSEX, MIDCPNIFTY, FINNIFTY, BANKEX | Spot, Futures, Options, Synthetic Futures, Combined Premium |
| Indian stocks | All NSE F\&O-enabled stocks | Spot, Futures, Options, Synthetic Futures, Combined Premium |
| Crypto | BTCUSD, ETHUSD (via Delta Exchange) | Spot, Perpetual Futures, Options, Combined Premium |
:::note
MCX commodities, and stocks without F\&O are not supported.
:::
## New here?
Start with the [Quickstart](./quickstart). It takes you from a blank screen to a deployed paper trade in about 10 minutes.
## Explore the docs
Indicators are applied to the underlying cash/index price - the simplest and most common setup.
1. Select your instrument.
2. Click the data selection dropdown, choose **Spot**, and click **Apply**.
Indicators are applied to the futures contract price. Futures can trade at a **premium or discount** to spot, so signals may differ from the spot chart.
1. Select your instrument.
2. Click the data selection dropdown and choose **Future**.
3. Select the **Expiry** and click **Apply**.
Indicators run on a single option's **premium** instead of the underlying price. Option premiums are driven by the underlying move **plus** time decay (theta) and volatility (IV) - expect signals to differ substantially from spot.
1. Select your instrument.
2. Click the data selection dropdown and choose **Options**.
3. Configure the option:
- **Strike Selection Timing** - **Rolling** (the strike updates whenever a different strike matches your criteria; indicators are evaluated on the current matching strike) or **Fixed** (the strike is locked once per day at a set time, e.g., 9:16, and all signals for the day are evaluated on that one strike - typical for intraday strategies).
- **Option Type** - **Call (CE)** or **Put (PE)**.
- **Expiry** - Weekly, Next Weekly, Monthly, or Next Monthly.
- **Strike Criteria** - how the strike is chosen (e.g., ATM, ITM/OTM offsets, or Premium Range with lower/upper bounds).
4. Click **Apply**.
For the full strike selection reference, see [Strike Selection in the Leg Builder](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/leg-builder/#strike-selection).
Indicators run on a **synthetic futures price** calculated from CE/PE option combinations - futures like behavior derived from the options market.
1. Select your instrument.
2. Click the data selection dropdown, choose **Synthetic Future**, and click **Apply**.
More detail: [Synthetic Future reference](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/leg-builder/#synthetic-future).
Indicators run on the **summed premium of multiple option legs** - for example, an ATM straddle's CE + PE. Useful for volatility strategies (premium expands and contracts with market movement and IV).
1. Select your instrument.
2. Click the data selection dropdown and choose **Combined Premium**.
3. Pick a **Template** — Straddle, Strangle, Iron Condor, or Iron Fly. Legs are created automatically; you can add or remove legs.
4. Configure each leg: **Option Type** (CE/PE), **Expiry**, **Strike Criteria**, and **Strike Type** (ATM/ITM/OTM).
5. Set **Multiply** (default 1) to scale the premium calculation if needed.
6. Choose **Strike Selection Timing** - Rolling or Fixed (same meaning as on the Options tab).
7. Click **Apply**.
## Next steps
- [Set signal limits](./Signal-Limits) to control how often your strategy trades
- [Build your entry and exit conditions](./Building-on-the-Canvas)
---
// File: Signals-AI/Creating-Signals/Rolling-vs-Fixed-Strikes
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
# Rolling vs Fixed Strike Selection
When your strategy runs indicators on **option data** - a single option chart or several options combined. Signals AI has to answer one question on every candle:
> **Which exact option contract do I calculate the indicator on right now?**
**Strike Selection Timing** answers it, and it has two modes:
- **Rolling** - re-pick the strike whenever your criteria say a different strike now qualifies. The contract can change during the day.
- **Fixed** - pick the strike **once**, at a time you set, and use that same contract for the rest of the day.
:::info[The one thing to remember]
Rolling vs Fixed is **only** about *when* the strike is chosen. The **strike criteria** (ATM, ITM/OTM offset, Premium Range) are exactly the same in both modes.
:::
## What a "strike" actually means
Picking a strike fixes **all** of these together into one tradable contract:
| Part | Example |
| ------------ | --------------------------------------------- |
| Underlying | NIFTY |
| Option type | CE / PE |
| Expiry | Weekly / Next Weekly / Monthly / Next Monthly |
| Strike price | Set by your **Strike Criteria** (e.g. ATM) |
The result is one contract - e.g. `NIFTY 24000 CE (weekly)` and your indicators are calculated on **that contract's candles**.
## Rolling
Under **Rolling**, Signals AI re-checks your strike criteria on every candle. If the criteria now point to a different strike, the strategy **switches** to the new contract and keeps evaluating your indicators on it.
**How it behaves:**
1. On each candle, resolve the strike from your criteria and the current spot/premiums.
2. Calculate the indicator on whichever contract is currently resolved.
3. Evaluate your entry/exit conditions on that value.
Because the contract can change through the day, the series your indicators run on is a **composite** - segments of different strikes joined at the moments the strike rolled.
**Use Rolling when** you always want to be looking at "the current ATM/OTM option" as spot moves - the *relationship to spot* matters more than staying on one contract.
:::caution[Rolling can't be matched to a single chart]
Because the contract switches mid-day, an indicator's lookback will, right after a roll, be reading candles from a **different** contract than a few candles earlier. That's expected, but it means the series is **not** one real chart you can pull up on a broker or TradingView and match candle for candle.
:::
## Fixed
Under **Fixed**, Signals AI resolves the strike **once**, at the **fix time** you set (e.g. 09:16 or 09:20), using your criteria and the spot/premiums at that moment. That single contract is then used for **every** entry/exit check for the rest of the session. The strike does **not** move as spot moves.
**How it behaves:**
1. At the fix time, resolve one strike and lock it for the day.
2. For the rest of the day, calculate indicators on that **one** contract's candle series.
3. Indicators like RSI and EMA need candles from **before** today's session (their lookback period). Under Fixed, Signals AI pulls that history from **previous days** - but each previous day used its **own, different** fixed strike.
:::warning[The single-strike rule]
Under Fixed, the strike is chosen once at the fix time and every entry/exit check that day runs on that single strike. But indicators like RSI and EMA need candles from before today's session, and Signals AI pulls that lookback history from previous days where each day used its own, differently selected fixed strike. So the series an indicator actually runs on is stitched together from several different contracts across days, not one continuous option. This is why a Fixed strike signal cannot be reproduced candle for candle on TradingView or your broker, and why it can differ from what a single option's chart would show.
:::
**Before the fix time:** no strike is resolved yet, so **no entries** can fire before then. Set time-based entries at or after your fix time.
**Use Fixed when** you want an intraday, single-strike strategy - you pick a strike in the morning and trade only that strike for the day.
## On the Options chart vs the Combined Premium chart
The strategy evaluates indicators on the **premium of one option** (CE or PE).
- **Rolling:** the single evaluated option can change strike intraday.
- **Fixed:** one option is chosen at the fix time and evaluated all day.
Indicators run directly on the option premium, which is driven by the underlying move **plus** time decay (theta) and volatility (IV). So, signals differ from spot/futures charts.
The strategy evaluates indicators on the **sum of several legs premiums** - e.g. an ATM straddle's combined premium = `CE premium + PE premium`.
Rolling/Fixed timing applies **per leg**:
- **Rolling:** each leg re-resolves its own strike every candle; the combined value sums each leg's *currently-resolved* premium. Legs can roll independently.
- **Fixed:** each leg resolves its strike **once** at the fix time; the combined value sums those **fixed** legs for the rest of the day.
Combined Premium is usually seeded from a **template** (Straddle, Strangle, Iron Condor, Iron Fly), which creates the legs; each leg then follows the chosen timing and its own criteria.
## Worked examples
All examples use NIFTY, weekly expiry, 5-minute candles, with this spot path during the day:
| Time | NIFTY spot |
| ----- | ---------- |
| 09:20 | 24,000 |
| 11:00 | 24,060 |
| 13:00 | 24,110 |
| 14:30 | 24,180 |
**ATM CE, fix time 09:20.**
1. **09:20 - resolve once.** Spot 24,000 → ATM CE = **24000 CE**. Locked for today.
2. **All day** - RSI 14 / EMA 20 run on **24000 CE**'s premium for today's candles. But their lookback (candles from before today) is pulled from **previous days - which each used a *different* fixed strike** (e.g. yesterday's ATM was 23950 CE, the day before 24100 CE).
3. Spot rises to 24,180, but today's evaluated contract stays **24000 CE** (now deep ITM). Conditions today are only ever checked on 24000 CE.
4. **Verify:** because the lookback spans those different daily strikes, opening `NIFTY 24000 CE` on TradingView will **not** reproduce the indicator values candle for candle. Fixed is **not** externally verifiable this way.
**ATM CE.**
1. **09:20** - ATM CE = 24000 CE → evaluate on 24000 CE.
2. **11:00** - spot 24,060; ATM is now **24050 CE** → the strategy switches; indicators read the new contract.
3. **13:00 / 14:30** - as spot climbs, ATM keeps rolling to higher strikes; evaluation follows.
4. **Result:** the evaluated series is a composite of 24000 → 24050 → 24100 … CE. It tracks "the ATM option" but equals no single broker chart.
*Same criteria as the Fixed example (ATM CE) - but Fixed stays on 24000 CE all day, while Rolling follows spot.*
**ATM straddle, fix time 09:20.**
1. **09:20 - resolve both legs once.** Spot 24,000 → **24000 CE** + **24000 PE**, both locked for today.
2. Say CE = 120, PE = 110 → combined premium = **230**.
3. **All day** - combined series = `24000 CE + 24000 PE`, using only those two fixed legs. At 13:00, CE = 165, PE = 70 → combined = **235**; indicators evaluate on this series.
4. **Note:** within the day the combined series uses the two fixed legs, but each leg's **lookback pulls previous days' - differently selected strikes** (yesterday's straddle was on a different strike). So the series still can't be matched candle for candle on a broker chart across days.
**ATM straddle.**
1. **09:20** - legs 24000 CE + 24000 PE → combined 230.
2. **11:00** - spot 24,060 → ATM rolls; legs become **24050 CE + 24050 PE**; combined now sums the new legs.
3. Each leg rolls independently every candle; the combined series always sums the currently resolved ATM legs.
4. **Result:** a continuous "ATM straddle premium" that follows spot - a composite across strikes, not a fixed pair you can pin to one broker view.
---
// File: Signals-AI/Creating-Signals/Signal-Limits
# Signal Limits (Advanced Settings)
The **Advanced Settings** on the Canvas control how many signals your strategy can generate. Without limits, a condition that flips true repeatedly can open many positions in quick succession - these two settings keep that in check.
## Max Concurrent Signals
How many positions can be **open at the same time**.
- Set to **1**: no new entry is taken until the previous position has exited. Most strategies want this.
- Set to **Unlimited**: a new entry fires every time the condition becomes true, even while earlier positions are still open.
## Max Signals in a Day
How many **entries can be taken per day**, regardless of exits.
- Set to **1**: after the first entry of the day, the strategy takes no more entries until the next day - even if the condition becomes true again.
## How the two work together
Both limits apply at once. Example: Max Concurrent = 1, Max per Day = 3 means at most one open position at a time, and at most three entries across the whole day.
| Scenario | Concurrent = 1, Per Day = 1 | Concurrent = 1, Per Day = 3 | Unlimited / Unlimited |
| -------------------------------- | --------------------------- | ----------------------------- | ------------------------------ |
| Condition fires 5 times in a day | 1 trade | Up to 3 trades, one at a time | 5 trades, possibly overlapping |
---
// File: Signals-AI/Going-Live/Saved-Signals
# Saved Signals Dashboard
**Saved Signals** is the control panel for every signal you've created - view, edit, configure, and deploy from one place.
**Navigation:** Signal → Signal Dashboard → **Signals AI** → **Saved Signals**. (Clicking **Deploy** after saving a strategy takes you here directly.)
## What you'll see
- **Strategy list** - each saved signal with its name and underlying (e.g., NIFTY . Spot)
- **Status** - e.g., **Setup Pending** (execution settings not configured yet) or **Ready to Deploy**
- **Connected strategy** - the linked trade configuration (e.g., "SMA PE Sell"), with quick access to edit it
- **Instances** - how many deployments of this signal are currently running (e.g., "0 Deployed")
## Actions per strategy
| Action | What it does |
| ------------------- | -------------------------------------------------------------------------------------- |
| **View / Delete** | Modify the signal logic, or remove the strategy |
| **Setup Execution** | Configure [execution settings](./Execution-Settings) - required before live deployment |
| **Forward Test** | Deploy as a [paper trade](./Forward-Test) on live data, no real money |
| **Algo Trade** | Deploy for [live execution](./Algo-Trade) via your broker |
You can also create a new signal (**Create New AI Signal**) and search/filter your list from here.
## Typical flow
1. Save a signal
2. [Set up execution settings](./Execution-Settings) → status changes to Ready to Deploy
3. [Forward test](./Forward-Test) it for a few days
4. [Go live](./Algo-Trade)
---
// File: Signals-AI/Going-Live/Execution-Settings
# Execution Settings
Execution settings define **how your strategy trades** once deployed: how much, with what order types, and what safety nets apply. You configure them **once per strategy** before live deployment - no daily setup needed.
**Navigation:** Signal → Signal Dashboard → Signals AI → Saved Signals → **Setup Execution**
## Settings reference
| Setting | What it controls |
| ----------------------- | ----------------------------------------------------------------------------------------------------------------- |
| **Quantity Multiplier** | The position size each signal trades |
| **Trade Monitoring** | When conditions are evaluated: on every price tick (**LTP**) or only when a candle completes (**Candle Close**). |
| **Entry Order Type** | **MPP** or **Limit or Market ( allowed only with Delta Exchange )** |
| **Exit Order Type** | Same choice for exits |
| **Buffers** | Price buffer added to limit orders to improve fill probability |
| **Delays** | Optional delay between signal and order placement |
| **Auto Square Off** | Auto Square off complete strategy in case of Margin Error |
| **Execution Days** | **Weekday filter** and **DTE filter** - restrict which days new entries are taken. See below. |
## Weekday and DTE Filter
Restrict which days your strategy is allowed to take **new entries** - so it trades only on the days that back your edge, without you having to pause and resume it manually.
Previously these filters only affected the backtest report; the strategy would still enter on any day once deployed. They're now enforced live, for both **Forward Test** and **Algo Trade**.
### Weekday filter
Multi-select Monday-Sunday. The strategy takes entries only on the selected weekdays. On any other day it stays **Listening** as normal - it just doesn't take new entries. No manual pause/start needed.
**Example:** Weekday filter = `{Tue, Thu}` → entries are taken only on Tuesdays and Thursdays; the strategy is silent on all other days.
### DTE filter
Multi-select days-to-expiry (0, 1, 2, 3, 4…). Uses the **same DTE definition as the backtest report** - trading-day distance from the configured expiry (weekly/monthly), holiday-aware via the trading calendar. See the [DTE Filter guide](https://docs.algotest.in/Time-Based-Algo-Trading/backtest-filters/dte-filter/) for the full definition.
**Example:** DTE filter = `{0, 1}` → entries are taken only on expiry day and the one trading day before expiry.
### Entries only - open positions are unaffected
Both filters gate **new entries** only. A position that's already open exits per its own logic regardless of the filter - even on a day that's excluded.
**Example:** A position opened on a valid Thursday (Weekday filter = `{Tue, Thu}`) is still open on Friday, which is excluded. The position exits normally on Friday per its own exit logic; the strategy just doesn't take any *new* entry that day.
### One-time setup
Set both filters once in Execution Settings - they persist across days with no daily reconfiguration, and apply identically in Forward Test and Algo Trade.
## Video walkthrough
For a guided setup, watch: [Execution Settings walkthrough](https://youtu.be/dHzxejqL8iM?si=kMh5FkqLg3sWXDZU)
## Next steps
- [Forward test](./Forward-Test) with these settings before going live
- [Deploy live](https://docs.algotest.in/Signals-AI/Going-Live/Algo-Trade/) once you're confident
---
// File: Signals-AI/Going-Live/Forward-Test
# Forward Test (Paper Trading)
A **Forward Test** runs your strategy on live market data **without real capital** - trades are simulated, not sent to a broker. It's the essential step between a good backtest and live deployment: it shows how your signals behaves on data it has never seen.
No margin or broker connection is required.
## Deploy a forward test
1. Go to **Signal → Signal Dashboard → Signals AI → Saved Signals**.
2. Find your Signal and click **Forward Test**.
3. The instance count changes to **1 Deployed**, and the signal starts running under **Signals AI → Forward Test** in the **Listening** state.
:::tip What "Listening" means
The signal is actively monitoring live prices for your entry conditions. It stays listening until you pause or delete it - no daily reactivation needed. More in [How Signals Work](../How-Signals-Work).
:::
## Managing a running forward test
Click the signal to see its controls and executed (simulated) orders.
| Control | What it does |
|---|---|
| **Pause Listening** | Temporarily stops monitoring - no new signals (Entry or Exit) fire |
| **Start Listening** | Resumes monitoring |
| **Debug** (under More) | Copies the strategy's debug details for [troubleshooting](../Troubleshooting/Debug) |
| **Logs** (under More) | Shows all activity and signal related logs |
| **Delete** (under More) | Stops and removes this forward test instance |
## How long should I forward test?
Long enough to see multiple signals in varied market conditions - for most intraday strategies, at least 1 week. Compare the forward test results against your backtest; if they diverge wildly, investigate before going live ([why results can differ](../How-Signals-Work#why-backtest-forward-test-and-live-results-differ)).
When you're confident, deploy with [Algo Trade](./Algo-Trade).
---
// File: Signals-AI/Going-Live/Algo-Trade
# Algo Trade (Live Trading)
**Algo Trade** executes your strategy with real money through your connected broker. When your conditions fire, real orders are placed automatically.
## Before you deploy - prerequisites
1. **Broker connected** - link your broker account to AlgoTest and complete the broker's algo trading requirements, including **VEE setup** where the broker requires it.
2. **Execution settings configured** - [set up execution settings](./Execution-Settings) for this strategy (quantity, order types, auto square-off).
3. **Forward tested** - strongly recommended: [validate on live data](https://docs.algotest.in/Signals-AI/Going-Live/Forward-Test/) without money first.
4. **Broker login** - for NSE/BSE brokers, you must log in to your broker via AlgoTest **every trading day**. Delta Exchange (crypto) does not require daily login.
:::warning Don't activate from the 920/AlgoTrade page
The 920/AlgoTrade page is for *time based* strategies only. Your signal strategy deploys from **Saved Signals**, and once deployed it just needs to be in the **Listening** state. Activating a 920 strategy on top of a signal strategy can cause confusion or duplicate execution. See the [FAQ](../Troubleshooting/FAQ#do-i-need-to-activate-my-strategy-from-the-920algotrade-page).
:::
## Deploy live
1. Go to **Signal → Signal Dashboard → Signals AI → Saved Signals**.
2. On your Signal, click **Algo Trade**, connect/confirm your broker, and click **Deploy**.
3. The instance shows **1 Deployed**, and the signal runs under **Signals AI → Algo Trade** in the **Listening** state.
## Managing a live signal
Click the signal to access controls and executed order details.
| Control | What it does |
| ----------------------- | --------------------------------------------------------------------------------- |
| **Pause Listening** | Temporarily stops monitoring - no new entries or exits are taken |
| **Start Listening** | Resumes monitoring |
| **Debug** (under More) | Copies the signal's debug details for [troubleshooting](../Troubleshooting/Debug) |
| **Logs** (under More) | Shows all activity and signal related logs |
| **Delete** (under More) | Stops and removes this live deployment |
:::note
Pausing stops **new entries & exits** - check your open positions separately and square off manually if needed.
:::
## If something goes wrong
Missing executions, unexpected entries, or errors → [Debug a Strategy](https://docs.algotest.in/Signals-AI/Troubleshooting/Debug/) walks you through collecting the details support needs.
---
// File: Signals-AI/Indicators/Indicator-Parameters
# Indicator Parameters Explained
Almost every indicator in Signals AI shares the same five core parameters. This page explains them once - individual indicator pages only cover what's unique to each indicator.
## Candle Type
The type of candles used in the calculation.
- **OHLC** (default) - standard candlesticks.
- **HEIKIN\_ASHI** - smoothed candles that filter out noise, useful for cleaner trend identification.
## Source
Which price point of each candle the calculation uses.
**Single price points:**
| Source | What it is | When to use it |
| ------------------- | --------------------------- | -------------------------------------------------------------------------------- |
| **Close** (default) | Final price of the period | The standard choice - the close represents the period's final consensus of value |
| **Open** | First price of the period | Opening range breakout style strategies |
| **High** | Highest price of the period | An average of Highs runs *above* price - useful as dynamic resistance |
| **Low** | Lowest price of the period | An average of Lows runs *below* price - useful as dynamic support |
**Averaged price points** (smoother, less affected by single price spikes):
| Source | Formula | Notes |
| --------- | ------------------- | ----------------------------------------------------- |
| **OHLC4** | (O + H + L + C) / 4 | The "mean price" of the whole candle |
| **HLC3** | (H + L + C) / 3 | The "typical price" - used inside indicators like CCI |
| **HL2** | (H + L) / 2 | The midpoint of the range; ignores open and close |
## Period
The lookback window - how many candles the calculation uses.
- **Shorter period** (e.g., 10, 20) → reacts quickly to price changes, tracks price closely, more signals (and more noise).
- **Longer period** (e.g., 50, 200) → smoother, less sensitive, fewer but steadier signals.
## Timeframe
The chart interval the indicator is calculated on - 1m, 5m, 15m, 1H, etc.
Lower timeframes give more signals; higher timeframes give fewer signals that reflect larger moves. Conditions in one strategy can mix timeframes (e.g., enter on 5m only when the 1H trend agrees).
## Offset
Looks back at the indicator's value from N candles ago - "what was this indicator's value N candles back?"
- **0** - the current, still forming candle
- **1** - the most recently completed candle
- **2** - the candle before that, and so on
Useful for conditions like "RSI was below 30 on the previous candle and is above 30 now."
## Indicator specific parameters
Some indicators add their own parameters - for example Supertrend's **Multiplier**, MACD's **fast/slow/signal periods**, or Bollinger Bands' **standard deviations**. These are documented on each indicator's page:
- [Trend Indicators](./Trend-Indicators) — EMA, SMA, WMA, VWMA, Supertrend, ADX, VWAP
- [Momentum Indicators](./Momentum-Indicators) — RSI, MACD, Stochastic, ROC, Williams %R, Special K
- [Volatility & Range Indicators](./Volatility-Indicators) — Bollinger Bands, ATR, Min Max
---
// File: Signals-AI/Indicators/Trend-Indicators
# Trend Indicators
Trend indicators identify the direction and strength of a price trend. Each section below covers what the indicator does, its parameters, and an example strategy you can build (or paste into the [AI Agent](../Creating-Signals/Using-the-AI-Agent)).
For Candle Type, Source, Period, Timeframe, and Offset - common to all indicators - see [Indicator Parameters Explained](./Indicator-Parameters).
## 1. EMA (Exponential Moving Average)
A moving average that weights recent prices more heavily, making it more responsive to current market changes than an SMA.
- Identifies short term trends and momentum
- Acts as dynamic support and resistance
- The classic crossover pair (fast EMA × slow EMA) is one of the most used entry signals
**Parameters:** Candle Type, Source, Period, Timeframe, Offset - all [standard](./Indicator-Parameters).
**Example strategy - EMA 20/50 crossover:**
| | Condition |
| ----- | ------------------------------------------- |
| Entry | EMA(20) crosses above EMA(50), 5m timeframe |
| Exit | EMA(20) crosses below EMA(50) |
For the click-by-click build, see the [Canvas worked example](../Creating-Signals/Building-on-the-Canvas#worked-example-ema-2050-crossover-built-manually) or the [Quickstart](../quickstart).
## 2. SMA (Simple Moving Average)
The average price over a period, with all candles weighted equally. Smoother and slower than EMA - better for trend confirmation, support/resistance, and longer term direction.
**Parameters:** standard set.
**Example strategy - SMA 9/21 crossover (NIFTY, 5m):**
| | Condition |
| ----- | ---------------------------- |
| Entry | SMA(9) crosses above SMA(21) |
| Exit | SMA(9) crosses below SMA(21) |
## 3. WMA (Weighted Moving Average)
Like SMA, but weights recent prices more heavily (linearly), making it more responsive to new information.
**Parameters:** standard set.
**Example strategy - Dual WMA crossover (NIFTY spot, 5m):**
| | Condition |
| ----- | ---------------------------- |
| Entry | WMA(9) crosses above WMA(21) |
| Exit | WMA(9) crosses below WMA(21) |
## 4. VWMA (Volume Weighted Moving Average)
A moving average that weights price by **trading volume** - price moves on high volume count for more. Often more reliable for trend confirmation than a plain SMA, because volume backed moves are more significant.
**Parameters:** standard set.
**Example strategy - price crossover:**
| | Condition |
| ----- | ------------------------------------------------------------------ |
| Entry | Close crosses above VWMA(20) - upward momentum confirmed by volume |
| Exit | Close crosses below VWMA(20) |
## 5. Supertrend
A trend-following indicator built on ATR (volatility). The line flips sides when the trend changes: **below price = uptrend** (typically green), **above price = downtrend** (typically red).
**Parameters:**
| Parameter | Default | Description |
| ------------------------------ | ------- | ----------------------------------------------------------------------------------------------------- |
| Period | 10 | ATR lookback period |
| Multiplier | 3 | Distance of the line from price. Higher = fewer, more reliable signals; lower = more, noisier signals |
| Candle Type, Timeframe, Offset | — | [Standard](./Indicator-Parameters) |
**Example strategy - Supertrend flip (NIFTY spot, 5m):**
| | Condition |
| ----- | ------------------------------------- |
| Entry | Close crosses above Supertrend(10, 3) |
| Exit | Close crosses below Supertrend(10, 3) |
:::note
Supertrend shines in trending markets but produces false flips in sideways markets. Pair it with a trend strength filter like ADX for confirmation.
:::
## 6. ADX (Average Directional Index)
Measures the **strength** of a trend, not its direction. Three lines:
- **ADX** - trend strength. Above 25 = strong trend; below 20 = weak/ranging market.
- **+DI** - strength of upward movement
- **-DI** - strength of downward movement
Use ADX to filter out trades in choppy markets, and the DI crossover for direction.
**Parameters:**
| Parameter | Default | Description |
| -------------- | ------- | ---------------------------------------------------------- |
| period | 14 | Lookback period |
| adx\_component | ADX | Which line the condition uses: ADX, PLUS\_DI, or MINUS\_DI |
**Example strategy - ADX filtered DI crossover (NIFTY, 5m):**
| | Condition |
| ----- | -------------------------------------------------- |
| Entry | ADX(14) > 25 **AND** +DI(14) crosses above -DI(14) |
| Exit | +DI(14) crosses below -DI(14) |
## 7. VWAP (Volume Weighted Average Price)
The day's average price weighted by volume; **resets each trading day**. Institutional traders use it as a fair value benchmark: price above VWAP = bullish for the session, below = bearish. Intraday only.
**Parameters:** Source (the standard formula uses HLC3; other sources selectable). Optional standard deviation bands can be added around the line.
**Example strategy - VWAP crossover (intraday):**
| | Condition |
| ----- | ------------------------ |
| Entry | Close crosses above VWAP |
| Exit | Close crosses below VWAP |
:::warning
VWAP or VWMA doesn't work with Spot chart for indexes as no volume is available in spot charts.
:::
---
// File: Signals-AI/Indicators/Momentum-Indicators
# Momentum Indicators
Momentum indicators measure the speed and strength of price moves, and help spot overbought/oversold conditions and reversals. For the shared parameters (Candle Type, Source, Period, Timeframe, Offset), see [Indicator Parameters Explained](./Indicator-Parameters).
## 1. RSI (Relative Strength Index)
An oscillator between 0 and 100 measuring the speed and change of price movements.
- **Above 70** - overbought; potential pullback
- **Below 30** - oversold; potential bounce
- **Divergence** (price makes a new high but RSI doesn't) signals weakening momentum
**Parameters:**
| Parameter | Default | Description |
| ------------ | ------- | ------------------------------------------- |
| period | 14 | Shorter = more sensitive; longer = smoother |
| source | CLOSE | [Standard](./Indicator-Parameters#source) |
| candle\_type | OHLC | OHLC or HEIKIN\_ASHI |
**Example strategy - RSI crossover (NIFTY, 5m):**
| | Condition |
| ----- | ------------------------------------------------------- |
| Entry | RSI(14) crosses above 30 - bearish momentum fading |
| Exit | RSI(14) crosses above 70 - market likely due a pullback |
## 2. MACD (Moving Average Convergence Divergence)
A trend-following momentum indicator with three components:
- **MACD Line** - fast EMA (12) minus slow EMA (26): short term momentum
- **Signal Line** - 9-period EMA of the MACD Line: the trigger line
- **Histogram** - MACD Line minus Signal Line: positive = bullish momentum, negative = bearish
**Parameters:**
| Parameter | Default | Description |
| --------------- | ---------- | ----------------------------------------------------------------------- |
| fast\_period | 12 | Fast EMA period |
| slow\_period | 26 | Slow EMA period |
| signal\_period | 9 | Signal line EMA period |
| source | CLOSE | Price source |
| macd\_component | MACD\_LINE | Which output the condition uses: MACD\_LINE, SIGNAL\_LINE, or HISTOGRAM |
**Example strategy - MACD crossover:**
| | Condition |
| ----- | ----------------------------------- |
| Entry | MACD Line crosses above Signal Line |
| Exit | MACD Line crosses below Signal Line |
## 3. Stochastic Oscillator
Compares the current close to the recent high-low range, on a 0 to 100 scale. The idea: momentum shifts before price does.
- **%K** - the main line
- **%D** - moving average of %K (the signal line)
- **Above 80** = overbought, **below 20** = oversold
**Parameters:**
| Parameter | Default | Description |
| ---------------- | ------- | --------------------------------------- |
| k\_period | 14 | Lookback for %K |
| d\_period | 3 | Smoothing for %D |
| stochastic\_line | — | Which line the condition uses: %K or %D |
**Example strategy - %K/%D crossover:**
| | Condition |
| ----- | ------------------------------------------------------ |
| Entry | %K crosses above %D (strongest when both are below 20) |
| Exit | %K crosses below %D (strongest when both are above 80) |
## 4. ROC (Rate of Change)
The percentage change between the current price and the price N periods ago: `((Price − Price N ago) / Price N ago) × 100`. Oscillates around a zero line - positive = bullish momentum, negative = bearish. A zero line cross signals a potential trend change.
**Parameters:**
| Parameter | Default | Description |
| ------------ | ------- | -------------------- |
| period | 14 | Lookback period |
| source | CLOSE | Price source |
| candle\_type | OHLC | OHLC or HEIKIN\_ASHI |
**Example strategy - zero line crossover (5m):**
| | Condition |
| ----- | ------------------------------------------------- |
| Entry | ROC(14) crosses above 0 - momentum turns positive |
| Exit | ROC(14) crosses below 0 - momentum turns negative |
## 5. Williams %R
A momentum oscillator on a **negative scale from 0 to -100** (similar to Stochastic):
- **-20 to 0** - overbought: price near the top of its recent range
- **-80 to -100** - oversold: price near the bottom of its recent range
**Parameters:**
| Parameter | Default | Description |
| ------------ | ------- | -------------------------------------------------------------------------- |
| period | 14 | Shorter (e.g., 7) = more signals; longer (e.g., 21) = fewer, more reliable |
| candle\_type | OHLC | OHLC or HEIKIN\_ASHI |
**Example strategy - mean reversion:**
| | Condition |
| ----- | ---------------------------------------------------------------- |
| Entry | Williams %R(14) crosses above -80 - leaving oversold territory |
| Exit | Williams %R(14) crosses below -20 - leaving overbought territory |
## 6. Special K
Martin Pring's composite oscillator that sums multiple ROC calculations across short, intermediate, and long lookbacks, smoothed by moving averages. Designed to identify **primary trend reversals** while filtering short-term noise.
- **Rising Special K** = bullish momentum; **falling** = bearish
- Crossing its signal line generates buy/sell signals
- Divergence vs price is a strong reversal warning
**Parameters:**
| Parameter | Description |
| --------------------- | ----------------------------------------------------------------------- |
| special\_k\_component | SPECIAL\_K (the main line) or SIGNAL\_LINE (smoothed confirmation line) |
| source | Price source (Close is typical) |
| candle\_type | OHLC or HEIKIN\_ASHI |
| sig\_len1 | Primary lookback — lower = faster signals, higher = smoother |
| sig\_len2 | Secondary smoothing — higher = more stable, slower |
| timeframe / offset | [Standard](./Indicator-Parameters) |
**Example strategy - Special K crossover:**
| | Condition |
| ----- | ------------------------------------- |
| Entry | SPECIAL\_K crosses above SIGNAL\_LINE |
| Exit | SPECIAL\_K crosses below SIGNAL\_LINE |
---
// File: Signals-AI/Indicators/Volatility-Indicators
# Volatility & Range Indicators
These indicators measure how much price is moving (volatility) or track recent price extremes (range) - the building blocks for breakout strategies and volatility adjusted stops. For the shared parameters, see [Indicator Parameters Explained](./Indicator-Parameters).
## 1. Bollinger Bands
Three lines plotted around price:
- **Middle Band** - a moving average (typically 20-period)
- **Upper Band** - middle band + N standard deviations (default 2)
- **Lower Band** - middle band − N standard deviations
The bands **widen when volatility rises and narrow when it falls**. Price near the upper band suggests overbought; near the lower band, oversold. Price above/below the middle band indicates the trend direction.
**Parameters:**
| Parameter | Default | Description |
| ------------------------------------------ | ------- | ------------------------------------------------------------------------------------- |
| period | 20 | Lookback for the middle band |
| standard\_deviations | 2 | Band width - higher = wider bands, fewer signals; lower = tighter bands, more signals |
| band\_type | — | Which band the condition uses: Upper, Middle, or Lower |
| source / candle\_type / timeframe / offset | — | [Standard](./Indicator-Parameters) |
**Example strategy - breakout (trending markets):**
| | Condition |
| ----- | ------------------------------------------------------------------------- |
| Entry | Close crosses above the Upper Band - breakout with strong upward momentum |
| Exit | Close crosses below the Lower Band |
:::tip Breakout vs mean reversion
The breakout strategy above suits **trending** markets. In **ranging** markets, traders often invert the logic - buy at the lower band, exit at the upper band (mean reversion). Know which market you're in, or filter with ADX.
:::
## 2. ATR (Average True Range)
Measures **volatility only** - how much price moves on average per candle over the period. It says nothing about direction.
**Common uses:**
- **Trailing stops** - a stop placed N × ATR away adapts automatically: wider in volatile markets, tighter in calm ones
- **Position sizing** - high ATR → smaller position to keep risk constant
**Parameters:**
| Parameter | Default | Description |
| --------------------------------- | ------- | ------------------------------------------------------------------------------------ |
| period | 14 | Shorter (e.g., 5) reacts faster to volatility changes; longer (e.g., 20) is smoother |
| candle\_type / timeframe / offset | — | [Standard](./Indicator-Parameters) |
**Example strategy - SMA entry with ATR trailing stop:**
| | Condition |
| ----- | --------------------------------------------------------------------------------- |
| Entry | Close crosses above SMA(20) |
| Exit | Close crosses below (SMA(20) − 2 × ATR(14)) — a volatility-adjusted trailing stop |
## 3. Min Max
Tracks the **highest (MAX) or lowest (MIN) value** of a price source over a lookback period - the recent extremes that define support/resistance. This is the standard building block for **price channel breakout** strategies.
**Parameters:**
| Parameter | Description |
| --------------------------------- | ------------------------------------------------------------------------ |
| min\_max\_type | MIN (lowest value in the period) or MAX (highest value in the period) |
| period | How many candles to look back (e.g., 20) |
| source | Price point used - e.g., HIGH for breakout highs, LOW for breakdown lows |
| candle\_type / timeframe / offset | [Standard](./Indicator-Parameters) |
**Example strategy - price channel breakout:**
| | Condition |
| ----- | ------------------------------------------------------------------- |
| Entry | Close crosses above MAX(HIGH, 20) - price breaks its 20 candle high |
| Exit | Close crosses below MIN(LOW, 10) - price breaks its 10 candle low |
---
// File: Signals-AI/Troubleshooting/Debug
# Debug a Signal
When a deployed signal doesn't behave as expected, work through this page before contacting support and if you do need support, it tells you exactly what to send so you get a fast answer.
## Common symptoms and first checks
| Symptom | Check first |
| ------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **No trades at all** | Is the strategy in **Listening** state (not paused)? Is your broker logged in today (NSE/BSE)? Did your entry condition actually become true? |
| **Missed a trade you expected** | Was the [Max Concurrent / Max per Day limit](https://docs.algotest.in/Signals-AI/Creating-Signals/Signal-Limits/#max-concurrent-signals) already hit? Was the condition true on candle close, or only mid-candle? |
| **Live results differ from backtest** | Usually expected to a degree - see [why results differ](https://docs.algotest.in/Signals-AI/How-Signals-Work/#why-backtest-forward-test-and-live-results-differ) |
## Collect debug details
If the checks above don't explain it, copy the signal's debug information:
**Navigation:** Signal → Signal Dashboard → Signals AI → Forward Test / Algo Trade → click the strategy → **More** → **Debug** (clicking copies the details to your clipboard)
## Contact support
Send to the [AlgoTest Signals support group on Telegram](https://t.me/algotest_signals):
1. **The copied Debug details**
2. **Timestamp** of the issue - when the signal fired (or should have)
3. **A screenshot** of the chart with your indicator at that time
With these three things, support can usually pinpoint the root cause quickly.
---
// File: Signals-AI/Troubleshooting/FAQ
# Frequently Asked Questions
## Getting started
### Do I need TradingView (or a TradingView paid plan) to use Signals AI?
**No.** Signals AI is fully self contained in AlgoTest. Strategies are built, backtested, and executed without any third party tools. You only need TradingView if you use **Signals (Classic)**, the webhook based product. See [Signals vs Signals AI](../How-Signals-Work#signals-vs-signals-ai-classic-vs-ai).
### Do I need a separate Algo Trading plan on top of my Signal Plan?
**No.** The Signal Plan includes execution. You do not need to buy or activate anything else to run signal strategies live.
### Do I need to activate my strategy from the 920/AlgoTrade page?
**No.** That page is for *time based* strategies. Signal strategies deploy from [Saved Signals](../Going-Live/Saved-Signals) and just need to be in the **Listening** state. Activating a 920 strategy as well can cause confusion or duplicate execution.
### Which instruments are supported?
NIFTY, BANKNIFTY, SENSEX, MIDCPNIFTY, FINNIFTY, BANKEX, all NSE F\&O-enabled stocks, and crypto (BTCUSD, ETHUSD via Delta Exchange). Not supported: MCX commodities, and non-F\&O stocks.
## Backtesting
### Which plan includes backtesting for Signals AI strategies?
Both plans do. The **1 Month plan** includes **5 Signals backtests a week** (resets every Monday); the **6 Month plan** includes **unlimited** Signals backtesting. See [Pricing & Plans](https://docs.algotest.in/Signals-AI/Pricing/).
### Do I need to buy a separate backtest plan or extra credits?
No - and you can't. There's no standalone way to buy more Signals backtests; the only way to get more than 5/week is to upgrade to the 6 Month plan. This is separate from the unrelated **920 backtest** credits (25 free every Monday, purchasable separately) that every account gets for time-based strategies on the Strategy/Portfolio pages - the two pools never draw from each other. See [Pricing & Plans](https://docs.algotest.in/Signals-AI/Pricing/#plan-comparison).
### What happens when I run out of Signals backtests for the week?
You'll see "0 of 5 Signals backtests left" with two options: wait for the Monday reset, or upgrade to the 6 Month plan for unlimited backtesting - which applies immediately, without waiting for Monday.
### Does a failed backtest use up a credit?
No. A credit is only consumed when a backtest **completes successfully**. Re-running the same strategy, even with no changes, does consume another credit.
### I bought extra broker slots on my 1 Month plan - do I get more backtests?
No. Additional Signal Plans (bought for multi-broker execution) only add broker capacity and raise concurrency limits - they don't change your Signals backtest quota. See [Multi-Broker plans](../Pricing#multi-broker-plans).
### Does uploading a CSV via Signal Backtest use the same quota as Signals AI?
Yes. [Signal Backtest (CSV)](https://docs.algotest.in/signals/signal-backtest-csv/) and Signals AI backtests draw from the same 5/week (or unlimited) Signals backtest pool.
### Can I backtest a portfolio of multiple signal strategies together?
Not currently, each strategy is backtested individually.
### Can I download the backtest report?
Yes, daywise trade logs are downloadable as CSV from the [backtest results](../Validating-Your-Strategy/Backtesting#reading-the-results).
## Running strategies
### Do I need to log in every day for my strategy to trade?
- **NSE/BSE brokers:** yes, daily broker login via AlgoTest is a requirement.
- **Delta Exchange (crypto):** no daily login needed.
- **The strategy itself:** no daily reactivation. If it's in the **Listening** state, it keeps running.
### Does forward testing require margin or a broker?
No. [Forward Test](../Going-Live/Forward-Test) is fully simulated - no real money, no broker connection, no margin.
### Can I run NSE and crypto strategies at the same time?
Yes. You can run NIFTY strategies on NSE and BTC/ETH strategies on Delta Exchange under the same Signal Plan.
### Can I use multiple brokers with one signal strategy?
Yes, by adding broker slots to your plan - see [Multi-Broker plans](../Pricing#multi-broker-plans). Different *multipliers per broker* under the same signals are **not** currently supported.
### Can I use Heikin Ashi candles in my conditions?
Yes, set **Candle Type** to HEIKIN\_ASHI in any indicator's parameters. See [Indicator Parameters](../Indicators/Indicator-Parameters#candle-type).
### Can I restrict my strategy to specific weekdays or a DTE range?
Yes. Set the **Weekday filter** and/or **DTE filter** in [Execution Settings](../Going-Live/Execution-Settings#weekday-and-dte-filter) - once set, they're enforced automatically on every trading day, in both Forward Test and Algo Trade. No manual pause/resume needed, and open positions still exit normally even on an excluded day.
## Plans & account
### What happens to my signals when my plan expires?
Saved signals **remain in your account**, but you need an active Signal Plan to keep live and forward test deployments running, and to keep backtesting. If your plan lapses, Signals backtesting access stops until you renew; on renewal you get that week's full 5 backtests.
### How do I upgrade from the 1-Month to the 6-Month plan?
Go to the Pricing page and select the 6-Month plan. See [Pricing & Plans](../Pricing). Unlimited backtesting takes effect **immediately** on upgrade - even mid-week, and even if you'd already used up your 5 for the week.
### I was already on the 1-Month plan before Signals backtesting launched. Do I get the new limit?
Yes. Existing 1-Month plan holders were migrated automatically and now get 5 Signals backtests a week like any other 1-Month subscriber.
## Problems
### My strategy didn't take a trade it should have. Why?
Work through the checks in [Debug a S](https://docs.algotest.in/Signals-AI/Troubleshooting/Debug/)ignal. The usual culprits are a paused strategy, broker not logged in, signal limits already hit, that day being excluded by your [Weekday/DTE filter](../Going-Live/Execution-Settings#weekday-and-dte-filter), or a condition that was true mid-candle but not on candle close.
### My backtest is failing with an error. What do I do?
Take a screenshot of the error plus your strategy prompt/logic and send it to the [support Telegram group](https://t.me/algotest_signals).
### Why don't my live results match my backtest?
Some differences are normal (slippage, fills, evaluation timing). See [why results differ](../How-Signals-Work#why-backtest-forward-test-and-live-results-differ).
---
// File: Signals-AI/Validating-Your-Strategy/Chart-Preview
# Chart Preview
The **Chart Preview** marks every entry and exit your strategy would have generated directly on the price chart. It's the fastest way to answer the most important question: *does my logic do what I think it does?*
## Features
1. **Time Frame** - switch chart intervals (1m, 5m, 15m…) to inspect signals at different granularities.
2. **Candle Type** - view as standard candlesticks, Heikin Ashi, and other formats.
3. **Indicators** - overlay the same indicators your strategy uses (EMA, RSI, MACD…) to visually confirm each signal against the indicator values.
4. **Entry Signals** - markers at every point the entry conditions fired.
5. **Exit Signals** - markers at every exit, whether condition-based, stop loss, or target.
6. **Maximize / Minimize** - expand the chart for detailed inspection.
## How to validate a strategy visually
1. Overlay your strategy's indicators on the chart (e.g., both EMAs for a crossover strategy).
2. Pick 3–5 entry markers and check each one: did the condition actually hold there?
3. Check the exits the same way.
4. Look for **missing** signals too - places where you'd expect a signal that didn't appear often reveal a wrong operator (e.g., Greater Than where you meant Crosses Above).
For exact timestamps of each signal, use the [Entry & Exit Logs](./Entry-Exit-Logs). When the chart looks right, move on to [Backtesting](./Backtesting).
---
// File: Signals-AI/Validating-Your-Strategy/Entry-Exit-Logs
# Entry & Exit Logs
The **Logs** tab lists every signal your strategy generated, with exact timestamps. Where the [Chart Preview](./Chart-Preview) shows signals visually, the logs give you the precise record.
- **Entry Logs** - every timestamp where the entry conditions became true and a trade would have been initiated.
- **Exit Logs** - every timestamp where a position would have been closed.
## What to check
- **Signal frequency** - too many signals per day usually means a condition is too loose (or you need [signal limits](../Creating-Signals/Signal-Limits)).
- **Trigger times** - match a few timestamps against the chart to confirm the conditions held at those moments.
- **Entry/exit pairing** - confirm each entry has a corresponding exit where you expect one.
When the logs look right, [connect a trade and backtest](./Backtesting).
---
// File: Signals-AI/Validating-Your-Strategy/Backtesting
# Backtesting
Backtesting runs your complete strategy - signals **plus** the trade they execute against historical market data, so you can evaluate performance before risking anything.
:::note Plan requirement
Backtesting is included on **both** Signal Plans: **5 backtests a week** (resets every Monday) on the 1 Month plan, **unlimited** on the 6 Month plan. See [Pricing & Plans](../Pricing).
:::
## Signals say *when* - a trade says *what*
Your signal defines **when** to enter and exit. To backtest, you must also define **what** gets traded when the signal fires: which legs (options/futures), how many lots, and any risk settings. This trade definition uses AlgoTest's standard Strategy Builder (the same one used for time-based strategies - you may see it referred to as a "920 strategy" elsewhere; it's just a trade configuration).
:::warning
The 920/AlgoTrade page itself is for *time-based* strategies. For signal strategies, you only use the Strategy Builder to define the trade - you never need to activate anything from the 920 page. See the [FAQ](../Troubleshooting/FAQ#do-i-need-to-activate-my-strategy-from-the-920algotrade-page).
:::
## Your weekly quota
The backtest entry point shows **"X of 5 Signals backtests left this week"** plus the day it resets (Monday), if you're on the 1 Month plan. On the 6 Month plan it shows unlimited.
- A backtest consumes 1 credit only when it **completes successfully** - a failed or errored run doesn't cost you anything.
- Re-running the same strategy (even unchanged) consumes another credit - there are no free re-runs.
- Because a Signals backtest runs against a connected 920 strategy, each run also uses 1 credit from your **separate** 920 free-backtest pool (25/week). These two counters are shown separately in the app so a Signals backtest never looks like it ate into your 920 credits, and vice versa - see [Pricing & Plans](../Pricing#plan-comparison) for how the two pools work.
- Running out for the week? You'll see a clear "0 of 5 left" state with two options: wait for the Monday reset, or upgrade to the 6 Month plan for unlimited backtesting immediately.
## Run a backtest
1. On your signal, click **Backtest Result** (use **Maximize** for full screen).
2. Click **Connect Now**, then either pick an existing strategy from your account or click **Create Strategy**.
3. If creating new, configure the trade in the **Strategy Builder**:
- **Index and Timings** — index
- **Leg Builder** — segment, expiry, lots, position (buy/sell), option type, strike criteria; click **Add Leg** for each leg
- **Optional risk settings** — Target Profit, Stop Loss, Simple Momentum, and overall-strategy settings (Overall SL/Target, Lock Profit, Trail SL)
Click **Save and Continue**.
4. Select the **Backtest Period** and click **BackTest**.
## Reading the results
**Year-wise Returns** - performance per year: consistency check across different market regimes.
**Max Drawdown** - the largest peak to trough decline: the worst losing stretch you'd have sat through.
**Strategy Stats** - total P\&L, number of trades, win rate, average profit/loss, risk-reward ratio, and winning/losing streaks.
**Full Report** - daywise trade logs, downloadable as CSV, sortable by P\&L or day.
### What to look for
| Metric | Question it answers |
| ----------------------- | -------------------------------------------------------------------- |
| Win rate + avg win/loss | Does the edge come from many small wins or few large ones? |
| Max drawdown | Could you psychologically and financially survive the worst stretch? |
| Year-wise returns | Does it work across market regimes, or only in one lucky year? |
| Number of trades | Enough trades to be statistically meaningful (not 5)? |
## Save the strategy
Satisfied? Click **Save Strategy**, name it, and save. It will appear in [Saved Signals](../Going-Live/Saved-Signals), ready to deploy.
:::note Backtest ≠ guaranteed live results
Backtests don't capture slippage, order fills, and execution latency the way live markets do. Always [forward test](../Going-Live/Forward-Test) before going live. See [why results can differ](../How-Signals-Work#why-backtest-forward-test-and-live-results-differ).
:::
---
// File: Time-Based-Algo-Trading/index
920 Algo is AlgoTest’s all-in-one solution for automated, time-based algo trading.
Backtest your strategies using our industry-grade backtesting engine, designed for accuracy, speed, and scale. With a proven 4-year track record and 1 lakh+ orders executed daily, 920 Algo is built to handle high-volume algorithmic trading seamlessly.
Start with backtesting at just ₹1 per backtest, forward test your strategies at ₹50 per strategy/month, and move to live automated execution from as low as ₹100 per strategy/month.
Connect easily with over 50 supported brokers and execute your strategies with confidence using Algo Trade (live trading).
Next, learn how to master backtesting on AlgoTest, explore pricing, features, and performance reports to optimise your [trading strategies.](https://algotest.in/blog/options-trading-strategies/)
---
// File: Time-Based-Algo-Trading/Backtest-Analysis-and-Pricing/understanding-backtesting-results
## BackTesting Terms on AlgoTest
When you [backtest on AlgoTest](https://algotest.in/feature/backtest?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=backtest) you will see the following terms appear in the search results. Please use this doc as a reference sheet to understand what the different terms mean.
*The image above is only for reference purposes.*
### Overall Profit
During the backtested period, the overall profit of a strategy indicates the total profit it earned. For instance, if a strategy was backtested for two years, the overall profit demonstrates the profit it generated for those two years.
### Number of Trades
The metric "Number of Trades" represents the total number of days when your strategy executed trades. For instance, if you backtested a strategy for one week, which has five trading days, and your strategy traded on all five days, then the "Number of Trades" will be displayed as 5.
### Average Profit Per Trade
The Average Profit Per Trade is a metric that indicates how much profit you can expect to make on each trade, on average. To calculate this metric, you can divide the overall profit by the total number of trades. For instance, if you have backtested a strategy and made a profit of 20000 in 20 trades, you can calculate the average profit as follows:
Average Profit = Overall Profit / Number of Trades
Average Profit = 20000 / 20
Average Profit = 1000
### Win %
The term "Win %" refers to the percentage of times you have made a profit when trading. For example, if you have traded 100 times and made a profit on 70 of those trades while incurring a loss on the remaining 30, your win % will be 70. In another instance, if you have backtested a trading strategy and found that you executed a total of 200 trades, out of which you made a profit on 150 trades and incurred a loss on 50, then your win % would be calculated as follows:
Win % = (150/200) \* 100
Win % = 0.75 \* 100
Win % = 75%
### Loss %
The term "Loss %" refers to the percentage of times you have made a loss when trading. For example, if your trading strategy consisted of 100 trades, out of which you made a profit 70 times and incurred a loss 30 times, then your loss % would be 30.
To illustrate another example, suppose you backtested a strategy and found that you made a total of 200 trades, out of which you made a profit 150 times and incurred a loss 50 times. In this case, your win % would be calculated as follows:
Win % = (50/200) \* 100
Win % = 0.25 \* 100
Win % = 25%
### Average Profit on Winning Trades
The term "Avg. Profit on Winning Trades" refers to the average profit that a strategy has made on its profitable trades. To understand this better, let's take an example where you have backtested a strategy and obtained the following results:
Total Number of Trades = 100
Number of Profitable Trades = 40
Profit made on 40 Profitable Trades = 4000
To calculate the average profit on winning trades, you need to divide the total profit made on profitable trades by the number of profitable trades. In this case, the calculation would be as follows:
Avg. Profit on Winning Trades = Profit made on profitable trades / Number of profitable trades
Avg. Profit on Winning Trades = 4000 / 40
Avg. Profit on Winning Trades = 100
Therefore, the average profit on winning trades for this particular strategy is 100.
### Average Loss on Losing Trades
The term "Avg. Loss on Winning Trades" refers to the average loss a trading strategy has incurred on its losing trades. For example, if you backtested a strategy and found that out of 100 trades, 60 were losing trades and you made a loss of 6000 on the remaining 60 losing trades, then you can calculate the average loss on losing trades as follows:
Avg. Loss on Losing Trades = Overall Loss on losing trades/Number of losing trades
Avg. Loss on Losing Trades = 6000 / 60
Avg. Loss on Losing Trades = 100
In this case, the average profit on losing trades would be 100.
### Max Profit in a Single Trade
The term "Max Profit in a Single Trade" refers to the highest amount of profit made by a strategy in a single trade. For example, if you have created and backtested a strategy from 01/01/2022 to 05/01/2022, and the results are as follows:
| Date | Profit/Loss Amount |
| ---------- | -----------------: |
| 01/01/2022 | 500 profit |
| 02/01/2022 | 800 profit |
| 03/01/2022 | 700 loss |
| 04/01/2022 | 600 profit |
| 05/01/2022 | 200 loss |
Then, the max profit in a single trade would be +800.
### Max Loss in a Single Trade
**The term "Max Loss in a Single Trade" refers to the maximum loss that a trading strategy has experienced in a single trade.**
***
For instance, if you have developed and tested a trading strategy from January 1, 2022, to January 5, 2022, and the results are as follows:
| Date | Profit/Loss Amount |
| ---------- | -----------------: |
| 01/01/2022 | 500 profit |
| 02/01/2022 | 800 profit |
| 03/01/2022 | 700 loss |
| 04/01/2022 | 600 profit |
| 05/01/2022 | 200 loss |
Then the maximum loss that the strategy has experienced in a single trade is 700.
### Max Drawdown
**A maximum drawdown (MDD) refers to the highest observed loss from the highest point to the lowest point of a portfolio, before a new peak is reached.** This is an important metric that indicates the potential downside risk over a specific time period.
***
For instance, if you have backtested a strategy from January 1st, 2022 to January 9th, 2022, the maximum drawdown will give you a clear idea of how much loss you can expect during that time period.
| **Date** | **Profit/Loss** | **Overall Strategy Profit/Loss** |
| ---------- | --------------- | -------------------------------- |
| 01/01/2022 | 1000 | 1000 |
| 02/01/2022 | -2000 | -1000 |
| 03/01/2022 | -1500 | -2500 |
| 04/01/2022 | 4000 | 1500 |
| 05/01/2022 | -5700 | -4200 |
| 08/01/2022 | -1300 | -5500 |
| 09/01/2022 | 4000 | -1500 |
| 10/01/2022 | 800 | -700 |
In the table above, you can see that between January 1st, 2022 and January 4th, 2022, your overall strategy portfolio initially peaked at 1000 before dropping to -2500, before eventually reaching a new peak of 1500 on January 4th, 2022. This means that the maximum drawdown during this period was 3500, which refers to the difference between the peak profit of 1000 and the lowest point of loss at -2500.
Following this, between January 4th, 2022 and January 10th, 2022, your overall strategy portfolio peaked again at 1500 before dropping to -5500, before reaching a new peak of 2300 on January 10th, 2022. This resulted in a maximum drawdown of 7000, which refers to the difference between the peak profit of 1500 and the lowest point of loss at -5500.
Therefore, you experienced 2 drawdowns during this period, with the first being 3500 and the second being 7000. However, the maximum drawdown throughout the entire period from January 1st, 2022 to January 10th, 2022 was 7000.
### Duration of Max Drawdown
The term 'max drawdown duration' refers to the length of time during which your investment strategy or portfolio has experienced the greatest decline in value.
| **Date** | **Profit/Loss** | **Overall Strategy Profit/Loss** |
| ---------- | --------------: | -------------------------------: |
| 01/01/2022 | 1000 | 1000 |
| 02/01/2022 | -2000 | -1000 |
| 03/01/2022 | -1500 | -2500 |
| 04/01/2022 | 4000 | 1500 |
| 05/01/2022 | -5700 | -4200 |
| 08/01/2022 | -1300 | -5500 |
| 09/01/2022 | 7000 | 1500 |
| 10/01/2022 | 800 | 2300 |
Two drawdowns were faced by the strategy in the table: the first was 3,500 and the second was 7,000. The maximum drawdown of 7,000 occurred over four days, from May 5, 2022 to May 8, 2022, within the period of May 1 to May 10.
### Reward to Risk Ratio
This displays the potential reward as compared to the potential risk of the strategy.
***
In simpler terms, it shows you how much reward you can earn for every rupee of risk taken. A higher ratio indicates that the strategy has the potential for bigger profits compared to the risk involved.
| **Trades** | **Profit/Loss** |
| ---------- | --------------- |
| 01/01/2023 | -400 |
| 02/01/2023 | 900 |
| 03/01/2023 | 1100 |
| 04/01/2023 | -600 |
**Reward to Risk Ratio** = Total Profit on profitable days/Total Loss on losing days
**Reward to Risk Ratio** = 1100+900/600+400
**Reward to Risk Ratio** = 2000/1000
**Reward to Risk Ratio** = 2
### Return/Max DD
During the backtest period, return over max drawdown is calculated by dividing the overall profit by the maximum drawdown in the backtest period, and then dividing that by the number of years in the backtest period. The higher the value, the better.
### Expectancy Ratio
**What is the Expectancy?**
The Expectancy is a key metric that helps traders understand what they can expect to gain or lose for every unit of risk taken in their trading strategies. It provides insight into the overall effectiveness of a trading system, similar to how casinos rely on favorable odds to ensure profitability over time.
Expectancy combines the probability of winning and losing with the average profit and loss per trade. It’s calculated using the formula:
> **Expectancy** = (Probability of Win × Average Win) - (Probability of Loss × Average Loss)
For example, if a trader’s strategy wins 40% of the time with an average profit of 20%, and loses 60% of the time with an average loss of 5%, the expectancy would be:
Expectancy = (0.4 × ₹3,125) - (0.6 × ₹625) = ₹625 per trade
This means even though the strategy loses more often than it wins, the average profit per trade remains positive, demonstrating the system’s profitability over time.
\*\*What is the \*\*Expectancy Ratio\*\*?
This ratio compares **Expectancy** to your **Average Loss**.
**Formula:** Expectancy Ratio = Expectancy / Average Loss
It answers:
> *“How much profit am I making for every ₹1 I lose on average?”*
**Example:**
- Win Probability = 50%
- Average Win = ₹200
- Average Loss = ₹100
- Loss Probability = 50% (because Win + Loss = 100%)
- Expectancy = (0.5 × 200) − (0.5 × 100) = 100 − 50 = 50
Then,
Expectancy Ratio = 50 / 100 = 0.5
#### **Understanding the Impact**
A positive expectancy suggests that, over multiple trades, the strategy is likely to be profitable. For instance, if a trader executes 65 trades in a year with an expectancy of ₹625 per trade, the expected annual gain would be ₹40,625, translating to a 40% return on a ₹1,00,000 portfolio.
#### **Why Expectancy Matters**
Expectancy is crucial because it highlights that the frequency of winning trades isn’t as important as the size of the wins relative to losses. A system can still be profitable even if it wins less often than it loses, as long as the wins are significantly larger than the losses.
### Max Win Streak
The term 'Max Win Streak' refers to the maximum count of consecutive profitable trades, without any intervening losing trades.
### Max Losing Streak
The term 'Max Losing Streak' refers to the maximum count of consecutive trades that resulted in losses, without any winning trades in between them.
### Max Trades in Any Drawdown
**It refers to the Maximum number of days when your strategy was in a drawdown phase.** This drawdown phase need not be equal to your max drawdown(monetarily).
For instance, if you backtested a strategy and the results are as shown in the table below:
| **Drawdown** | **Loss** | **Number of Trading Days** |
| :----------- | :------- | -------------------------- |
| Drawdown 1 | 5000 | 15 |
| Drawdown 2 | 7000 | 10 |
In the table above, you can see that there were 2 instances of drawdown in the strategy. The first drawdown had 15 trades, while the second had 10 trades. Although the second drawdown was bigger, the number of trading days in the first drawdown was more. Therefore, the maximum number of trades in any drawdown in this case is 15.
### Slippage
**Slippage refers to the difference between the price at which you intend to place an order and the actual price at which it gets executed.**
***
When you trade in a live market, it is not guaranteed that you will always get the same price at which you placed the order. This is because of factors such as volatility, bid-ask spread, and others.
[:You
can click here to learn more about this.](https://docs.algotest.in/product-blogs/difference-backtest-forward-live/)
For instance, if you placed an order to buy a stock at 100, but it got executed at 101 or 99, the difference between the intended price and the executed price is known as slippage. If the order gets executed at 99, it means that you experienced positive slippage. However, if it is executed at 101, then it is negative slippage.
:::info
To get a more accurate prediction, it is essential to factor in slippage when analyzing the results of your backtest.
:::
---
// File: Time-Based-Algo-Trading/Backtest-Analysis-and-Pricing/backtest-comparison
## Optimise your backtests quickly
Introducing the backtest comparison feature on [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
Now you can compare your past backtests quickly and optimise your algo-trading strategies for the best outcomes.
The comparison backtest feature gives you the ability to make changes to multiple parameters on your algo-trading strategy's leg and then compare them to each other.
### What you can do with backtest comparison
1. **Select Backtests**: Choose up to 15 recent backtests you want to compare.
2. **Load Strategies**: Load an old algo-trading strategy or start a new one to see how they perform.
3. **View Metrics**: Analyse detailed metrics such as Mark to Market (MTM), average MTM, maximum drawdown (Max DD), and win percentage.
4. **Compare Results**: View multiple strategies side-by-side to identify which adjustments lead to the best performance.
5. **Track Changes**: Use the change log to monitor your strategy's evolution and understand the impact of each tweak.
**You can see your last 15 backtests in this feature.**
## How the Backtest Comparison Feature works
### Start a backtest
You can start by opening up one of your old strategies from the left side of the console or you can start a brand new strategy.
Next, you can start a backtest.
### Click on Compare Backtest
After you finish one backtest the Comparison Backtest button will appear.
**Clicking on "Compare Backtests" will show you 15 of the last backtests you have done on AlgoTest.**
:::note
Only backtests that are less than 24 hours old will appear in this feature.
:::
The backtests are organised from last to first. The timestamps indicate when the backtest was done.
### Loading a previous backtest
You can load a previous backtest from the list by hovering over the backtest and then clicking on **"Load this version"**.
### Important Terms for Backtest Comparison
#### Version (Latest to Oldest)
Version refers to the version of the backtest.
***
This list is organised from latest backtest to first based on when the backtest was done.
#### Overall MTM
MTM or Mark to Market, is the overall profit or loss that your strategy (or strategies) make.
#### Avg MTM
Avg MTM, or Average MTM refers to the MTM (Mark to Market) per trade. This is different from overall MTM.
#### Max DD
A maximum drawdown (MDD) is the maximum observed loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum drawdown is an indicator of downside risk over a specified time period.
#### R/Max DD
Return over maximum drawdown (RoMaD) is a risk-adjusted return metric used as an alternative to the Sharpe Ratio or Sortino Ratio. Return over maximum drawdown is used mainly when analyzing hedge funds.
#### Win%
Win % refers to the number of winning (money making) trades in your portfolio. It does not take into account how much was won or lost, but simply the number of trades that made money vs those that didn't.
Head over to [AlgoTest](https://algotest.in/feature/backtest?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=backtest) to begin backtesting your algo-trading strategies!
---
// File: Time-Based-Algo-Trading/Backtest-Analysis-and-Pricing/in-sample-out-sample
## In Sample Out Sample
Have you ever considered the idea of testing your strategy across two different sets of time periods to understand its versatility in various market conditions? It's actually a pretty important factor to consider. You might have developed a strategy that works amazingly well during specific favourable conditions, but falls short when the market turns against you.
It's crucial to verify whether your strategy is tailored to a specific time frame or if it can adapt to different market scenarios. With [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest), you get access to the fantastic "In Sample Out Sample" feature.
:::info
This feature allows you to split your backtest results into two distinct periods, providing you with separate statistics for each period.
:::
Let's say we tested a strategy from 01/01/2020 to 01/01/2022, and we want to compare its performance from 01/01/2022 to 01/01/2021 and 01/02/2021 to 01/01/2022. With this awesome feature, we can easily carry out such comparisons.
It's an incredibly powerful tool for fine-tuning and optimising your trading strategies.
## How to Use In Sample Out Sample Feature
To utilise this feature, please follow the simple steps outlined below.
- To use this feature, begin by creating and backtesting your strategy. Click the "Start Backtest" button to initiate the process. Let's assume we backtested this strategy from 01/01/2019 to 06/13/2024.
- Afterward, the backtest result for the complete period you backtested the strategy will be displayed in the image below.
- Enable the "In/Out Sample" button and then select the date at which you want to split results. Click on "Recalculate."
- This action will split our backtesting stats between in-sample (01/01/2019 to 11/01/2021) and out-of-sample (12/01/2021 to 06/13/2024), as shown in the image below.
---
// File: Time-Based-Algo-Trading/Backtest-Analysis-and-Pricing/index
Backtest Analysis & Pricing provide detailed performance insights such as P\&L, drawdown, risk metrics, and strategy cost evaluation. Traders can analyse historical performance and optimize pricing assumptions to improve decision-making and risk management.
Understanding Backtesting Results
Visit our
to learn how to interpret your[ backtest results on AlgoTest](https://docs.algotest.in/Time-Based-Algo-Trading/Backtest-Analysis-and-Pricing/backtesting-results/)
Backtest Comparison
Learn how to [compare your results](https://docs.algotest.in/Time-Based-Algo-Trading/Backtest-Analysis-and-Pricing/backtest-comparison/) to optimise your trading strategies
---
// File: Time-Based-Algo-Trading/Backtest-Analysis-and-Pricing/monte-carlo
## Monte Carlo Drawdown
Have you ever thought about how to determine when a trading strategy, based on backtest results, is no longer effective? Would you be willing to keep trading the strategy until you lose all your capital, or would you consider halting trading after a certain level of drawdown, like 1x or 2x? If you decide to stop at 2x, what would prevent you from stopping at 3x or 4x?
One powerful tool to address this is [AlgoTest's](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) Monte Carlo Drawdown feature.
:::info
**Monte Carlo Drawdown is an advanced methodology that randomly simulates your trades 10000 times, producing a new equity curve with each simulation.**
***
This approach reveals the maximum drawdown you may encounter as your trades take 10000 different paths.
:::
By analysing the Monte Carlo Drawdown, you can accurately evaluate the risk associated with your strategy and gain insight into the worst-case scenario for your drawdown. This provides a more comprehensive understanding of your strategy's performance and allows you to make informed decisions about its effectiveness.
## How to Use Monte Carlo Drawdown
To use this feature follow the steps given below :-
To use this feature, start by creating and backtesting your strategy. Then, click the "Start Backtest" button to initiate the process.
- Afterward, the backtest result for the complete period you backtested the strategy will be displayed in the image below.
- Now, click on the "Run 10000 Simulations" button under Monte Carlo Drawdown.
- It will display an option to select a percentile. If we choose the 95th percentile, it means that 95% of the time, the drawdown was below the given value, i.e., 19332, out of all the 10000 simulations we did.
So, when you look at your historical maximum drawdown, it is 10684. However, when you run your strategy trades through 10000 simulations, your drawdown increased to 19332. This can give you an idea of how much maximum drawdown you may expect.
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/index
AlgoTest enables you to backtest options strategies using multiple years of historical data in seconds, including real-world factors such as slippage, brokerage, and applicable taxes.
Each backtest generates a detailed performance report with key metrics, including maximum drawdown, win ratio, and strategy-level and trade-level insights, along with support for advanced risk management rules such as leg-wise stop-loss and lock-profit.
[Backtesting Features](https://docs.algotest.in/category/features/)
[https://docs.algotest.in/category/features/](https://docs.algotest.in/category/features/)
[Backtesting Trading Strategies](https://docs.algotest.in/02-920-Algo%E2%80%93Time-Based-Algo-Trading/how-to-backtest/)
[Visit our guide on backtesting trading strategies](https://docs.algotest.in/Time-Based-Algo-Trading/how-to-backtest/)
[Portfolio (Backtesting)](https://docs.algotest.in/02-920-Algo%E2%80%93Time-Based-Algo-Trading/portfolio/)
[Visit our guide on portfolio backtesting](https://docs.algotest.in/Time-Based-Algo-Trading/portfolio/)
[Understanding Backtest Results (terms)](https://docs.algotest.in/Time-Based-Algo-Trading/Backtest-Analysis-and-Pricing/backtesting-results/)
[Visit our guide on understanding backtest results](https://docs.algotest.in/03-920-Algo%E2%80%93Time-Based-Algo-Trading/Backtest-Analysis-and-Pricing/backtesting-results/)
[Comparing Backtest reports (analysis)](https://docs.algotest.in/Time-Based-Algo-Trading/Backtest-Analysis-and-Pricing/backtest-comparison/)
[Learn how to compare backtest results to optimise your strategies](https://docs.algotest.in/02-920-Algo%E2%80%93Time-Based-Algo-Trading/Backtest-Analysis-and-Pricing/backtest-comparison/)
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/instrument-settings
import Iframe from "../../../../src/components/Iframe";
## Instrument Settings
All the features under the Instrument Settings section enable you to select the instrument on which you want to backtest your strategy. Create your strategy on [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) to find out more!
### Select Index
:::info
**This feature enables you to select the index on which you want to backtest from all the major indices available in India.**
:::
You can select any index from the dropdown as shown in the image below :
### Underlying From
**This feature enables you to select the underlying for reference to price.**
***
**For example,** you can select between ***Cash*** and ***Futures*** to take the price for reference.
[: For any queries, reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/entry-exit-timing
import Iframe from "../../../../src/components/Iframe";
## [Entry and Exit Timing](https://algotest.in/feature/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=live)
As the name suggests, this feature enables you to set entry and exit timing in your strategy.
### Entry Time
:::info
**This feature enables you to set the entry timing of your strategy.**
***
Entry time is the time at which your strategy takes entry into the market. You can set any time between 9:16 and 3:28.
:::
**Example :-** Assume you want to backtest a strategy that takes entry at 9:35, so you will enter 9:35 in Entry Time.
### Exit Time
:::info
**This feature enables you to set the exit timing of your strategy.**
***
Exit time is the time at which a strategy will exit any open position (if there are any) in the strategy and exit from the market for that day. You can set any time between 9:17 and 3:29.
:::
**Example :** Assume you want to backtest a strategy that exits at 03:00 PM, so you will enter 03:00 PM in Exit Time.
### Stop Monitoring After
The **Stop Monitoring After** feature lets you set a time after which [AlgoTest](https://algotest.in/register?utm_source=blogs\&utm_medium=organics\&utm_campaign=seo) will stop actively monitoring your strategy for the rest of the day.
Once the selected time is reached:
- All pending entry and exit orders are cancelled.
- No new entries or re-entries are triggered.
- Stop-loss and target conditions are no longer checked.
- Any open position remains unchanged.
- The open position will still close normally at your configured **Exit Time**.
This feature can help prevent unwanted triggers caused by unusual option price movements during the Closing Auction Session (CAS).
> **Important:** Stop Monitoring After does not close an open position. It only stops further strategy monitoring. Use **Exit Time** to define when an open position should be closed.
The feature is available for **Intraday, BTST, and Positional strategies** in both **Backtesting and Algo Execution**.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/overall-momentum
# Overall Momentum
The **Overall Momentum** feature allows you to enter a trade **only when the combined premium of all legs** in your strategy moves by a specific number of points, either up or down.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
## Select Segments
**This feature enables you to add a leg in either Futures or Options.**
If you want to backtest your strategy on Futures, select Futures as shown in the image below
If you want to [backtest your strategy](https://algotest.in/feature/backtest) on Options, select Options as shown in the image below
## Total Lots
This feature enables you to enter the desired quantity in terms of lots if you want to backtest each leg.
***
**For example**, if you want 10 lots, you can add them as shown in the image below.
## Position
**You can select a buy/sell position in a leg from this feature.**
If you want to create Buy Options/Future position you can select Buy as shown in the image below.
If you want to create Sell Options/Future position you can select Sell as shown in the image below.
## Option Type
**This feature enables you to select[ CALL or PUT](https://algotest.in/blog/put-call-ratio-a-key-indicator-for-options-traders/) for your legs.**
If you want to add a Call leg, you can select Call as shown in the image below
If you want to add a Put leg, you can select Put as shown in the image below
## Expiry
**This feature enables you to select the expiry of option contracts you want to backtest.**
***
It provides you access to select different expiry contracts like **weekly**, **next weekly**, and **monthly**.
To select the current week's expiry, select weekly from the dropdown menu under expiry as shown in the image below.
To select the next week's expiry, select next weekly from the dropdown menu under expiry as shown in the image below.
To select the current month's expiry, select monthly from the dropdown menu under expiry as shown in the image below.
### Next Monthly Expiry:
We have added support for a new expiry option: **Next Monthly** for **Options & Futures**, in the Leg Builder.
#### Previous
- **Stocks F\&O:** Monthly expiry only
- **Indices (NIFTY / SENSEX / BANKNIFTY):** Weekly, Monthly, Next Weekly
#### New
- A new expiry type **Next Monthly** is now available.
- This option can be used for both **Stock F\&O** and **Index F\&O instruments**.
- Available for both **Options & Futures segments**.
Previously, traders could only:
- Select the **current month expiry** for stocks.
- Select **Weekly, Next Weekly, or Monthly expiry** for indices.
With **Next Monthly**, you can now directly trade contracts of the **following month’s expiry** without waiting for the current month's expiry to roll over.
This enables:
- Better planning for **positional strategies**
- Easier **hedging**
- Enhanced **spread building**
#### Example: BANKNIFTY
**Before:**
- Supported Expiries: Weekly, Next Weekly, Monthly
- If today is **August 10, 2025**, the available monthly expiry = **28th August 2025**.
**Now (with Next Monthly):**
- Supported Expiries: Weekly, Next Weekly, Monthly, Next Monthly
- On **August 10, 2025**, in addition to **28th August 2025**, you can also select **25th September 2025** as Next Monthly.
#### Example: RELIANCE (Stock F\&O)
**Before:**
- Supported Expiries: Monthly only
- If today is **August 10, 2025**, the available expiry = **28th August 2025**.
**Now (with Next Monthly):**
- Supported Expiries: Monthly, Next Monthly
- On **August 10, 2025**, you can now choose both **28th August 2025 (Monthly)** and **30th September 2025 (Next Monthly)**.
#### How to Use
- While building your strategy, you will now see **Next Monthly** in the expiry dropdown in the **Leg Builder**.
- Simply select it.
- Backtesting and live execution will automatically map trades to the correct **next-month contracts**.
#### Key Benefit
This change gives traders more flexibility to:
- Plan positions beyond the current expiry
- Use advanced strategies such as **spreads, hedging, and rollovers**
- Trade with more confidence in **both Options & Futures segments**
## Strike Selection
**This section is all about the features available to select your desired option strike.**
***
It provides you with different methods to select your desired option strike. You can select any of the available features to select a strike from the drop down under **Select Strike Criteria** as shown in the image below.
- **Example 1-** Assume our entry time is 09:18 and we want to enter in the 2 strike away OTM CE option strike at 09:18, so we will select OTM2 in strike type. So if at 09:18 the underlying will be at 20000, then it will select the 20100 CE strike.
- **Example 2-** Assume our entry time is 09:30 and we want to enter in the 2 strike away ITM CE option strike at 09:30, so we will select ITM2 in strike type. So if, at 09:30, the underlying will be at 20000, then it will select the 19900 CE strike.
**There is a gap of 50 between strikes here. So the strikes here are 19900, 19950, 20000, 20050, 20100, etc.**
### Round Strikes (Strike Rounding)
**This feature enables you to select round-number option strikes based on an ATM, ITM, or OTM reference.**
***
Round-number strikes may have higher liquidity and open interest, which can help reduce slippage in positional strategies.
With **Round Strikes**, you can choose an ATM, ITM, or OTM reference and specify a strike interval, such as 100, 200, or 500. AlgoTest will automatically select an eligible strike that matches the interval.
To use this feature:
1. Select **Round Strikes** under **Select Strike Criteria**.
2. Choose the required **ATM, ITM, or OTM** reference.
3. Enter the required value under **Strike Interval**.
4. Complete the remaining leg settings and click **Add Leg**.
#### How Round Strikes Are Selected
AlgoTest first identifies the regular ATM strike based on the underlying price at the time of entry. This ATM strike acts as the reference point.
- For an **OTM** selection, AlgoTest moves in the OTM direction and counts only the strikes that match the selected interval.
- For an **ITM** selection, AlgoTest moves in the ITM direction and counts only the strikes that match the selected interval.
- For an **ATM** selection, AlgoTest selects the eligible round strike according to the selected interval.
For Call options:
- OTM strikes are above the ATM strike.
- ITM strikes are below the ATM strike.
For Put options:
- OTM strikes are below the ATM strike.
- ITM strikes are above the ATM strike.
#### Example: Selecting a Round OTM Call Strike
Assume the following:
- **Underlying:** NIFTY
- **NIFTY price at entry:** 24,126
- **Option type:** Call
- **Strike gap:** 50 points
- **Strike interval:** 100
Based on the NIFTY price, the regular ATM strike is **24,150**.
The standard Call strike sequence is:
| Strike Type | Strike |
| ----------- | ------ |
| ITM3 | 24,000 |
| ITM2 | 24,050 |
| ITM1 | 24,100 |
| ATM | 24,150 |
| OTM1 | 24,200 |
| OTM2 | 24,250 |
| OTM3 | 24,300 |
| OTM4 | 24,350 |
| OTM5 | 24,400 |
When the strike interval is set to **100**, AlgoTest considers only the OTM strikes that match the 100-point interval.
| Round Strike Selection | Selected Strike |
| ---------------------- | --------------- |
| OTM1 with interval 100 | 24,200 CE |
| OTM2 with interval 100 | 24,300 CE |
| OTM3 with interval 100 | 24,400 CE |
The 24,250 and 24,350 strikes are skipped because they do not match the selected 100-point interval.
> **Important:** The ATM strike is used only as the reference point and is not counted as an OTM strike. OTM1 is the first eligible round-number strike in the OTM direction.
The strike is calculated using the underlying price available at the actual entry time. Therefore, the strike selected during execution may differ from the strike visible when the strategy is created.
### Premium Range
**This feature enables you to select an option strike based on the option premium range.**
***
It will select a strike whose premium is in the range defined by you. According to the below image, it will select a strike whose premium is between 50 and 200.
- **Example :-** Assume our entry time is 09:18 and we want to select a strike whose premium is between 40 and 80. So we will select Premium Range in Select Strike Criteria, with 40 in the lower and 80 in the upper. So it will enter a strike whose premium is between 40 and 80.
### Closest Premium
**This feature enables you to select a strike based on the nearest option premium value.**
***
It will select an option strike whose premium is nearest to the premium value defined by you. Assuming you defined a value of 50, it will take entry in a strike whose premium is nearest to 50. If there are two strikes whose premiums are 49 and 52, it will select a strike whose premium is 49.
- **Example :-** Assume our entry time is 09:18 and we want to select a strike whose premium is closest to 100. So we will select the Closest Premium in the Select Strike Criteria and put 100 in the premium. So it will enter into a strike whose premium is closest to 100.
### Premium >=
**This feature enables you to select a strike based on an option premium value that is either more than or equal to a specific value.**
***
It will select an option strike whose premium is either equal to or more than the premium value defined by you. Assuming you define a value of 50, it will take entry in a strike whose premium is either equal to 50 or more than 50. If there are two strikes whose premiums are 49 and 52, it will select the strike whose premium is 52.
- **Example :-** Assume our entry time is 09:18 and we want to select a strike whose premium is more than or equal to 100. So we will select Premium >= in Select Strike Criteria and put 100 in Premium. So it will enter at 09.18 in a strike whose premium is either 100 or more than 100.
### Straddle Width
This is an advanced way to select a strike. **It enables you to select a strike based on the straddle price (ATM CE + ATM PE).**
***
In simple terms, what it is doing here is multiplying the ATM straddle price with a number defined by you and adding or subtracting (selected by you) it from the ATM strike at that time.
- **Example 1 :-**
***
Assume entry timing 09:18
***
Nifty ATM Strike is 20000
***
Nifty ATM Straddle Price 200 ( Straddle = ATM CE + ATM PE)
***
If enter + and 0.5 as shown in the image below.
Strike it selects is
***
Strike = ATM STRIKE + ( 0.5 \* ATM Straddle Price)
***
Strike = 20000 + (0.5 \* 200)
***
Strike = 20000 + (100)
***
Strike = 20100
***
**So it will select the 20100 strike at our entry time, i.e., 09:18.**
***
***
- **Example 2 :-**
***
Assume our entry timing is 09:20
***
Nifty ATM Strike is 20000
***
Nifty ATM Straddle Price is 200 ( Straddle = ATM CE + ATM PE)
***
We enter - and 1 as shown in the image below.
Strike it selects is
***
Strike = ATM STRIKE - ( 1 \* ATM Straddle Price)
***
Strike = 20000 - (1 \* 200)
***
Strike = 20000 - (200)
***
Strike = 19800
***
**So it will select the 19800 strike at our entry time, i.e., 09:20.**
***
***
### % of ATM
**This feature enables you to select strikes based on the percentage of ATM Strike.** Assuming you want to select a strike that is 99% or 101% of the ATM Strike, you can do this using this feature.
***
We have 2 options here: “+ -” and “% of ATM." What it is doing here is subtracting or adding a % (which we define) from the ATM Strike. So if we want to select a strike that is 101% of the ATM, we just add(+) 1% to the ATM. If we want to select a strike that is 99% of the ATM, we just subtract (-) 1% from the ATM.
- **Example 1 :-**
***
Assume entry timing 09:18
***
ATM Strike at 09:18 is 20000
***
We enter - and 1 as shown in the image below
***
Strike it selects is
***
Strike = ATM - 1% of ATM
***
Strike = 20000 - (1% of 20000)
***
Strike = 20000 - 200
***
Strike = 19800
***
**So it will select the Nifty 19800 strike at our entry time i.e. 09 : 18.**
***
***
- **Example 2 :-**
***
Assume entry timing 09:18
***
ATM Strike at 09:18 is 20000
***
We enter + and 1 as shown in the image below
***
***
Strike it selects is
***
Strike = ATM + 1% of ATM
***
Strike = 20000 + (1% of 20000)
***
Strike = 20000 + 200
***
Strike = 20200
***
**So it will select the Nifty 20200 strike at our entry time i.e. 09 : 18.**
***
***
### Synthetic Future
**This feature enables you to select your strike based on Synthetic Future.**
***
We can select any type of strike like ATM, OTM, ITM etc based on Synthetic future. Synthetic Future is calculated as below :
***
**Synthetic Future** = ***Spot ATM Strike*** - ***Spot ATM PE*** + ***Spot ATM CE***
**Example** : Let's assume we want to select an ATM strike based on Synthetic Future. We will select Synthetic Future and ATM from the dropdown under Select Strike Criteria as shown below.
Let's assume we have the following values:
- **Banknifty Spot** = 45025
- **Spot ATM Strike** = 45000
- **Spot ATM PE** = 275
- **Spot ATM CE** = 550
**Synthetic Future** = 45025 - 275 + 550 = 45300
**Synthetic Future ATM** = 45300
So it will select the 45300 strike at our entry time.
### ATM Premium %
**This feature enables you to select strikes based on the percentage of Premium of ATM Straddle.**
***
***For example*** ATM Straddle Premium (ATM CE + ATM PE) is 400 and you want to select an option whose premium is 30% of this ATM Straddle Premium then you can do so using this feature. It will select a strike whose premium is closest to 120 (30% of 400).
**Example :**
- **Nifty Spot** = 20210
- **Spot ATM Strike** = 20200
- **Spot ATM PE** = 120
- **Spot ATM CE** = 80
- **Straddle Premium** = 120 + 80 = 200
**If we select ATM Straddle Premium % and enter 20% as shown in the image below.**
**The Strike it will select is**
**Strike Premium** = 20 % of ATM Straddle Premium **Strike Premium** = 20% of 200 **Strike Premium** = 40
So it will select a strike whose premium is Closest to 40.
### Closest Delta
**This feature enables you to select a strike based on the closest delta.**
***
It will select an option strike whose delta is nearest to the delta defined by you. Assuming you defined a value of 50, it will take entry in a strike whose delta is nearest to 50. If there are two strikes whose deltas are 49 and 52, it will select a strike whose delta is 49.
The input should in the range of 0 to 100 (both inclusive).
### Delta Range
**This feature enables you to select an option strike based on the delta range.**
***
It will select a strike whose delta is in the range defined by you. According to the image below, it will select a strike whose delta is between 0 and 100.
For the delta range, when multiple strikes lie between the range, this process is followed: For a buy position: It chooses the strike with the lowest delta. For a sell position: It chooses the strike with the highest delta. If no strikes fit the criteria, then the leg entry is skipped.
### **Example of selecting a Delta:**
#### Case 1:
Say you want to buy a call, and strikes are given below from the table, within the delta range (20–40), are:
- 18200 CE → 22
- 18300 CE → 28
- 18400 CE → 36
Among these, **18200 CE** has the **lowest delta**.
**Result:** For a **Buy leg**, it chooses **18200 CE**.
***
#### Case 2: Sell Position
Say you want to sell a call, and strikes are given below from the same list:
- 18200 CE → 22
- 18300 CE → 28
- 18400 CE → 36
Among these, **18400 CE** has the **highest delta**.
**Result:** For a **Sell leg**, it chooses **18400 CE**.
***
#### Case 3: No Valid Strike
If the delta range was **45 to 55**, and all available deltas are below that range (maximum is 42), then:
- No strikes fall within the [delta range.](https://algotest.in/blog/delta-neutral-strategies-with-algotest/)
**Result:** The leg is **skipped**.
Once your strategy is ready, you can backtest it and then run it via forward testing before going live.
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/leg
import Iframe from "../../../../src/components/Iframe";
# [Leg](https://algotest.in/feature/backtest?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=backtest)
All the features under this section work on individual leg. [:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
## Simple Momentum
**This feature enables you to take an entry if an index or option premium price moves by X amount after your entry condition is met.**
***
The amount can be in percentage or point terms. You can enable the "Simple Momentum" feature, as shown in the image below.
***
Assume at 9:20 Nifty ATM CE strike is 18500 and ATM strike premium is 200
Entry Price = 200 + 15 (Momentum Up) = 215
- So according to our momentum condition it will take entry in the 18500 CE strike only if the 18500 CE strike moves to 215. If this price doesn't come it will not take any entry.
### **Points (Pts) ↓**
:::info
This option enables you to take entry only if option premium prices move down by X points after the entry conditions.
:::
Assume at 9:20 Nifty ATM CE strike is 18500 and ATM strike premium is 200
Momentum in Points = 15 % of 200 = 30 points
Entry Price = 200 + 30 (Momentum Up) = 230
- So according to our momentum condition, it will take entry into the 18500 CE Buy Position only if the 18500 CE strike moves up to 230. If this price doesn't come, it will not take any entries.
### **Percentage (%) ↓**
:::info
This option enables you to take entry only if option premium price moves down by X percentage after the entry conditions.
:::
Assume at 9:20 Nifty ATM CE strike is 18500 and ATM strike premium is 200
Momentum Down in Points = 15 % of 200 = 30 points
Entry Price = 200 - 30 (Momentum down) = 170
- So according to our momentum condition, it will take entry into the 18500 CE Sell Position only if the 18500 CE strike moves down to 170. If this price doesn't come it will not take any entries.
### **Underlying Pts ↑**
:::info
This option enables you to take an entry only if the underlying price (Index Price) moves up by X points after the entry conditions.
:::
You can enable this feature as shown in the image below :
**Example** :- Let's assume you created a strategy with these parameters :
***
**Underlying** :- Nifty
***
**Entry** :- 09:20
***
**Strike** :- ATM CE
***
**Positon** :- Buy
***
**SL** :- 30 Points
***
**Re-Entry-Cost** = 1(It means it will take max 1 entry on SL hit, you can enter max 20)
***
We then set the No re-entry after setting as :
***
**No re-entry after** = 01:00
***
It means this strategy will not take any re entry if SL/Target is hit after 01:00. However, the strategy can re-enter if the SL/Target was hit before 01:00. What this means is that the re-entry conditions were formed before 01:00.
***
Therefore it can take re entry even if re entry condition is met after the specified time.
#### Case 1 - SL/Target is hit before “No Re Entry After” time
Imagine ATM CE Buy took entry at 09:20 at 150 and at 12:20 our SL i.e. 180 hits.
***
Now according to our Re-Entry Cost it has to take re-entry if same strike price reach 150.
***
So assume our re entry condition i.e it has to re enter if price comes back to 150, met at 01:20. It will take the re-entry because here as our SL was hit at 12:20 that means re entry condition formed at 12:20 which is before our “No Re Entry After” time.
#### Case 2 - SL/Target is hit after “No Re Entry After” time
Imagine ATM CE Buy took entry at 09:20 at 150 and at 01:20 our SL i.e. 180 hits.
***
Now as our SL is hit and our re entry condition formed at 01:20 i.e. after “No Re Entry After”, so it will not take any re-entry.
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/range-breakout
import Iframe from "../../../../src/components/Iframe";
## [Range Breakout](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest)
:::info
**This feature enables you to take entry/exit your position if the low/high of a specific time range (defined by you) breaks.**
***
***For example*** let's assume you want to enter only if the high/low made between timing 09:20 to 09:30 breaks. You can do this using this feature.
***
**It will not take any entry if the given range doesn't break.**
:::
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
### How to use
First we need the initial entry time of range. We will enter initial timing in “ Entry Time “ as shown in the image below. It will start tracking high/low from our Initial Timing. Assume we want to start tracking high/low from 09:16, so we will enter 09:16 as shown in the image below.
Now we need to select the End time of this range. For example we want to select a range between 9:16 to 09:30. So for that we need to enable the Range Breakout feature as shown in the image below.
A popup window will appear that gives you the option to select end time. Enter the end time in the End option. We want to select a range between 09:16 to 09:30, so we will select 09:30 in the end.
Now after selecting END time, you have the option to select Entry on High/low. If you select High, it will take the entry of our leg when price crosses high made between 09:16 to 09:29:59. If you have selected low it will take the entry of our leg when price crosses low made between 09:16 to 09:29:59. We can select High/Low as shown in the image below
Now after selecting High/Low, you have the option to select Underlying as shown in the image below. If you enable underlying it means, it will select high/low range on index and will take entry when high/low crosses on index. If you don’t enable underlying it will select a high/low range of option strike selected at your entry time.
Click on Ok & Done. It will first track the high/low of the time range and instrument defined by you. Then if high/low (defined by you) breaks it will take entry.
***
This range breakout feature doesn't work with Simple Momentum feature.
## Range Breakout on Instrument
:::info
**This feature enables you to take entry when high or low of range crosses based on Option Strike.**
***
You can select this feature as shown in the image below.
:::
**Example** :- Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Strike :- ATM CE
***
Positon :- Buy
***
Range Breakout :- High of 09:16 to 09:30 on Instrument
***
SL :- 30 Points
Assume at 9:16 (entry time) spot is at 18515 so ATM strike is 18500 so it will select Nifty 18500 CE strike at 09:16 and track the high and low made between 09:16:00 to 09:29:59 as shown in the image below.
Above chart is of Nifty 18500 CE, high made between 09:16:00 to 09:29:59 is 257.95. So according to our strategy it will take entry when price crosses high i.e. 257.95
## Range Breakout on Underlying
:::info
**This feature enables you to take an entry when the high or low of range based on Index Price is broken.**
***
You can select this feature as shown in the image below.
:::
**Example** :- Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Strike :- ATM CE
***
Positon :- Buy
***
Range Breakout :- High of 09:16 to 09:30 on Underlying i.e. Nifty here
***
SL :- 30 Points
Now it will track High/low made by Nifty Index between 09:16:00 and 09:29:59 and will take entry when price crosses high of this range. Strike will be selected according to the entry timing i.e. 09:16
Above chart is of Nifty Index Spot, high made between 09:16:00 to 09:29:59 is 19866.20. So according to our strategy it will take entry when price crosses high i.e. 19866.20
Visit [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) to get started.
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/range-breakout-btst
# Buy Today, Sell Tomorrow | Opening Range Breakout (BTST ORB)
The **BTST ORB** feature of [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) enables users to define a **trading range** that spans across a **two-day period**. This range can be drawn based on either the **underlying asset’s chart** or **options charts**.\
Once the range is defined, trades can be executed based on a **breakout** from that range, either **above the high** or **below the low**.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
### Important Notes While Trading BTST ORB
- **Strategy Restart:**\
You must **restart your strategy daily** after broker login but **before the market opens**.\
Restarting after the market opens will result in an **incorrect range** being marked.
- **Strategy Activation:**\
Ensure the strategy is **activated before the market opens**.\
Activating it after the market opens will cause the **range to be calculated incorrectly**.
## How to Create a BTST ORB Strategy
Let’s walk through the process of creating a **BTST strategy** using the BTST ORB feature.
### 1. Set the Initial Entry Time
The **Entry Time** field defines **when the system starts tracking** the **high and low** for the range.
> **Example:**\
> If you want tracking to begin at **10:30 AM**, enter that time in the “Entry Time” field.\
> From this point, the system starts marking highs and lows for your defined range.
### 2. Select the Range End Time
For the BTST ORB, the **Range End Time** has two options — **Today** and **Tomorrow**.
- **For Today:**\
If you select **“Today”** and set the end time to **10:45 AM**,\
the system will mark a **15-minute range** from **10:30:00 AM** to **10:45:00 AM** on the same day.
- **For Tomorrow:**\
If you select **“Tomorrow”** and set the end time to **9:30:00 AM**,\
the system will mark a **two-day range** from **today at 10:30:00 AM** to **tomorrow at 9:30:00 AM**.\
This creates a **single continuous range** based on price action across **two trading days**.
### 3. Add a Trade Leg
In this example, we’ll create a trade leg to **sell an At-The-Money (ATM) call option**.
- **Condition:**\
When the market **breaks above the high** of the range (from **10:30:00 AM today** to **9:30:00 AM tomorrow**).
- **Action:**\
The system will **sell an ATM call option** as soon as the breakout occurs.
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/range-breakout-positional
# Positional ORB (Opening Range Breakout)
The **Positional ORB** of [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) feature enables users to define a **trading range across multiple days**.\
This range can be marked based on either the **underlying asset’s chart** or **options charts**.\
Once the range is set, trades can be executed based on a **breakout** from that range, either **above the high** or **below the low**.
### Important Notes While Trading Positional ORB Strategy
- **Strategy Restart:**\
You must **restart your strategy daily** after broker login but **before the market opens**.\
Restarting after the market opens will result in an **incorrect range** being marked.
- **Strategy Activation:**\
Ensure the strategy is **activated before the market opens** and on the correct **Days to Expiry (DTE)** as set in your strategy.\
Activating it **after the market opens** or **on a different DTE** will cause the **range to be calculated incorrectly**.
## How to Create a Positional ORB Strategy
Let’s walk through the process of creating a **Positional strategy** using the Positional ORB feature.
### 1. Define the Start of the Range
First, configure when the system should **start tracking the range**.
- **Set the Entry DTE (Days to Expiry):**\
This field selects the day on which range tracking begins.
- For **weekly expiry**, you can select a DTE from **0 to 4**.
- For **monthly expiry**, you can select a DTE from **0 to 24**.
- **Set the Entry Time:**\
Defines the specific time on the selected “Entry DTE” when tracking begins.
> Example: If you set **10:30 AM**, the system starts tracking the high and low of the range from that time.
### 2. Define the End of the Range and Add a Trade Leg
After setting the start point, add a trade leg and define when range tracking should stop.
- **Set the End DTE and End Time:**\
These fields determine when the system stops tracking the range.
> Example:\
> Setting an **End DTE = 0** and **End Time = 9:35 AM** means the system will calculate the range from the **Entry DTE (1, 10:35 AM)** to the **End DTE (0, 9:35 AM)**.
- **Configure the Trade Trigger:**
- **Entry On:** Select whether the trade triggers on a **High breakout** or **Low breakdown**.
- **Range Reference:** Choose whether the range is based on the **Underlying price** or an **Option price**.
### 3. Example: Creating a Simple Positional ORB Strategy
In the example illustrated below:
- The system tracks the range from **DTE 1 at 10:35 AM** to **DTE 0 at 9:35 AM**.
- When the market **breaks above the high** of this calculated range,\
→ the system will **sell an ATM Call option**.
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/overall-strategy-settings
import Iframe from "../../../../src/components/Iframe";
## [Overall Strategy Settings](https://algotest.in/feature/backtest?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=backtest)
:::info
As the name suggests, all the feature available under Overall Strategy Settings are applied on your overall strategy.
:::
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
### Overall Stop Loss
**This feature enables you to set overall stop loss on strategy.**
***
***For example*** let's assume you want to exit the strategy if your loss hits 'X' amount. The X amount can be in MTM or Percentage terms.
#### How to use
To use this feature first enable the overall stop-loss as shown in the image below.
Now you have 2 option in overall stop loss, you can select from dropdown as shown in the image below :
1. **MTM** :- Using this feature you can set overall sl in MTM terms.
***
2\. **Total Premium %** :- Using this feature you can set overall sl in terms of percentage on total premium.
### Overall SL in MTM
**This option enables you to set overall stop loss in MTM terms.**
***
***For example*** let's assume you want to exit strategy if your loss reaches 2000, then you can use this feature.
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Exit :- 03:20
***
Strike :- ATM
***
Legs :- CE and PE
***
Positon :- Buy
***
Overall SL (MTM) :- 5000\_
**The strategy will exit for the day if at any point of time between entry and exit time loss reaches 5000.**
### Overall SL in Percentage of Premium
**This option enables you to set overall stop loss in terms of percentage on total premium value.**
***
***For example*** let's assume you want to exit strategy if your loss reaches 20% of the total combined premium, then you can use this option.
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Exit :- 03:20
***
Strike :- ATM
***
Legs :- CE and PE
***
Positon :- Buy
***
Overall SL (Percentage of Premium) :- 30%\_
\_Assume strategy took entry at 09:20 in ATM CE at 170 and ATM PE at 130
***
Combined premium = 170 + 130 = 300
***
Overall SL = 30% of 300 = 90 point
***
At any point of time between if you face 90 point loss in strategy, the strategy will be exited.\_
### Overall Re-Entry on SL
**This feature enables you to re-enter in a position after an overall Stop Loss is hit.**
***
You can use this feature only if the 'overall stop loss' is enabled. You can do a maximum 5 re-entries.
#### How to Use
To use this feature first you need to enable Overall Re-entry on the SL feature as shown in the image below.
Now you have 4 options in Re-entry on overall SL, you can select any from dropdown as shown in the image below
1. RE ASAP
2. RE ASAP ↩
3. RE MOMENTUM
4. RE MOMENTUM ↩
Now enter the number of re-entries you want to do as shown in the image below. You can do max 5 re-entries on overall SL hit.
### RE-ASAP on Overall SL
**This feature enables you to re-enter immediately in a new strike at market price as selected by you in initial entry legs after your overall SL hit.**
***
***For example*** let's assume you have selected an ATM strike for entry. If your overall SL hits, it will look for a new ATM strike available in the market and enter immediately in the same positions with a new ATM strike.
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Exit :- 03:20
***
Strike :- ATM
***
Legs :- CE and PE
***
Positon :- Buy
***
Overall SL (MTM) :- 5000
***
RE-ASAP on Overall SL :- 1 (Max you can do 5 re-entries)\_
\_Imagine at 09:20 nifty spot was at 18515, so ATM is 18500. It took entry in nifty 18500 CE and PE. Now at 09:50 the loss reached 5000. So it exited due to overall SL.
***
Now according to our re-entry ASAP condition, it will look for a new ATM strike available at 09:50 and will enter immediately. Assume at 09:50 nifty was at 18446 so ATM is 18450. So it will select 18450 strike for re-entry in CE and PE Buy position.\_
### RE-ASAP ↩ on Overall SL
**This feature enables you to re-enter immediately in reverse position with a new strike available at market price when your overall SL hits.**
***
***For example*** let's assume you have selected an ATM strike for entry. If your overall SL hits, it will look for a new ATM strike available in the market and enter immediately in a reverse position with the new ATM strike.
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Exit :- 03:20
***
Strike :- ATM
***
Legs :- CE and PE
***
Positon :- Buy
***
Overall SL (MTM) :- 5000
***
RE-ASAP on Overall SL :- 1 (Max you can do 5 re-entries)\_
\_Imagine at 09:20 nifty spot was at 18515, so ATM is 18500. It took entry in nifty 18500 CE and PE. Now at 09:50 the loss reached 5000. So it exited due to overall SL.
***
Now according to our re-entry ASAP Reverse condition, it will look for a new ATM strike available at 09:50 and will enter immediately in the reverse position. Assume at 09:50 nifty was at 18446 so ATM is 18450. So it will select 18450 strike for re-entry in CE and PE Sell Position instead of Buy position.\_
### RE-MOMENTUM on Overall SL
**This option enables you to re-enter in a new strike at market price as selected by you in the initial entry legs after your overall SL hits when the momentum condition holds true.**
***
If you haven't enabled momentum in strategy, this option will work like RE-ASAP. For example you have selected an ATM strike for entry in CE and PE legs with 10% momentum each. If your overall SL hits, it will look for new ATM strikes available in the market and wait if any of your leg move 10% or not. It will enter only if your momentum condition holds true.
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Exit :- 03:20
***
Strike :- ATM
***
Legs :- CE and PE
***
Positon :- Buy
***
Momentum :- 10%
***
Overall SL (MTM) :- 5000
***
RE-Entry Momentum on Overall SL :- 1 (Max you can do 5 re-entries)\_
\_Imagine your strategy CE and PE legs took entry respectively at 09:26 and 09:28 after momentum condition holds true. At 09:55, your overall SL hits.
***
Now according to our Re-Entry Momentum condition, it will look for a new ATM strike available at 09:55. Assume at 09:55 nifty was at 18446 so ATM is 18450 and CE price is 200 and PE price is 150. Now it will wait for our 10% momentum condition to hold true in any of CE or PE legs and it will take entry.
***
So it will take entry in the 18450 CE Buy position when price reaches 200 + 20 = 220 and in the 18450 PE Buy position when price reaches 150 + 15 = 165.\_
### RE-MOMENTUM ↩ on Overall SL
**This option enables you to re-enter in the reverse position in a new strike at market price as selected by you in the initial entry legs after your overall SL hits when the momentum condition holds true.**
***
If you haven't enabled momentum in strategy, this option will work like RE-ASAP-Reverse.
***
***For example*** let's assume you have selected an ATM strike Buy position for entry in CE and PE legs with 10% momentum each. If your overall SL hits, it will look for new ATM strikes available in the market and wait if any of your leg move 10% or not. If it holds true it will enter in reverse position i.e. Sell position instead of Buy position.
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Exit :- 03:20
***
Strike :- ATM
***
Legs :- CE and PE
***
Positon :- Buy
***
Momentum :- 10%
***
Overall SL (MTM) :- 5000
***
RE-Entry Momentum Reverse on Overall SL :- 1 (Max you can do 5 re-entries)\_
\_Imagine your strategy CE and PE legs took entry respectively at 09:26 and 09:28 after momentum condition holds true. At 09:55, your overall SL hits.
***
Now according to our Re-Entry Momentum condition, it will look for a new ATM strike available at 09:55. Assume at 09:55 nifty was at 18446 so ATM is 18450 and CE price is 200 and PE price is 150. Now it will wait for our 10% momentum condition holds true in any of CE or PE legs and it will take entry in reverse position i.e. Sell instead of Buy.
***
So it will take entry in the 18450 CE Sell position when price reaches 200 + 20 = 220 and in the 18450 PE Sell position when price reaches 150 + 15 = 165.\_
## Overall Target
**This feature enables you to set an overall target on strategy.**
***
***For example*** you want to exit the strategy if your profit hits an X amount. The X amount can be in MTM or Percentage terms.
#### How to use
- To use this feature first enable the overall target as shown in the image below.
- Now you have 2 option in overall stop loss, you can select from dropdown as shown in the image below
1. **MTM** :- Using this feature you can set an overall target in MTM terms.
2. **Total Premium %** :- Using this feature you can set overall target in terms of percentage on total premium.
### Overall Target in MTM
**This option enables you to set an overall target in MTM terms.**
***
***For example*** let's assume you want to exit the strategy if your profit reaches 2000, then you can use this feature.
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Exit :- 03:20
***
Strike :- ATM
***
Legs :- CE and PE
***
Positon :- Buy
***
Overall Target (MTM) :- 5000\_
**The strategy will exit for the day if at any point of time between entry and exit time your profit reaches 5000.**
### Overall Target in Percentage of Premium
This option enables you to set an overall target in terms of percentage on total premium value. For example you want to exit strategy if profit reaches 20% of total combined premium, then you can use this option.
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Exit :- 03:20
***
Strike :- ATM
***
Legs :- CE and PE
***
Positon :- Buy
***
Overall Target (Percentage of Premium) :- 30%\_
\_Assume strategy took entry at 09:20 in ATM CE at 170 and ATM PE at 130
***
Combined premium = 170 + 130 = 300
***
Overall Target = 30% of 300 = 90 point
***
At any point of time between 09:20 to 03:20 if you get 90 point profit in strategy, the strategy will be exited.\_
### Overall Re-Entry on Target
**This feature enables you to re-enter in a position after an overall target hit.**
***
You can use this feature only if the overall target is enabled. You can do a maximum of 5 re-entries.
#### How to Use
To use this feature first you need to enable the Overall Re-entry on Target feature as shown in the image below.
Now you have 4 options in Re-entry on overall Target, you can select any from dropdown as shown in the image below
1. RE ASAP
2. RE ASAP ↩
3. RE MOMENTUM
4. RE MOMENTUM ↩
Now enter the number of re-entries you want to do as shown in the image below. You can do max 5 re-entries on overall Target hit.
### RE-ASAP on Overall Target
**This feature enables you to re-enter immediately in a new strike at market price as selected by you in the initial entry legs after your overall Target hits.**
***
***For example*** let's assume you have selected an ATM strike for entry. If your overall Target hit, it will look for new ATM strikes available in the market and enter immediately in the same positions with a new ATM strike.
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Exit :- 03:20
***
Strike :- ATM
***
Legs :- CE and PE
***
Positon :- Buy
***
Overall Target (MTM) :- 5000
***
RE-ASAP on Overall Target :- 1 (Max you can do 5 re-entries)\_
\_Imagine at 09:20 nifty spot was at 18515, so ATM is 18500. It took entry in nifty 18500 CE and PE. Now at 09:50 profit reached 5000. So it exited due to overall Target.
***
Now according to our re-entry ASAP condition, it will look for a new ATM strike available at 09:50 and will enter immediately. Assume at 09:50 nifty was at 18546 so ATM is 18550. So it will select an 18550 strike for re-entry in the CE and PE Buy position.\_
### RE-ASAP ↩ on Overall Target
**This feature enables you to re-enter immediately in reverse position with a new strike available at market price when your overall Target hits.**
***
***For example*** you have selected an ATM strike for entry. If your overall Target hit, it will look for a new ATM strike available in the market and enter immediately in reverse position with the new ATM strike.
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Exit :- 03:20
***
Strike :- ATM
***
Legs :- CE and PE
***
Positon :- Buy
***
Overall Target (MTM) :- 5000
***
RE-ASAP on Overall Target :- 1 (Max you can do 5 re-entries)\_
\_Imagine at 09:20 nifty spot was at 18515, so ATM is 18500. It took entry in nifty 18500 CE and PE. Now at 09:50 the profit reached 5000. So it exited due to overall Target.
***
Now according to our re-entry ASAP Reverse condition, it will look for a new ATM strike available at 09:50 and will enter immediately in reverse position. Assume at 09:50 nifty was at 18556 so ATM is 18550. So it will select 18550 strike for re-entry in CE and PE Sell Position instead of Buy position.\_
### RE-MOMENTUM on Overall Target
**This option enables you to re-enter in a new strike at market price as selected by you in the initial entry legs after your overall Target- hits, when momentum condition holds true.**
***
If you haven't enabled momentum in strategy, this option will work like RE-ASAP.
***
***For example*** let's assume you have selected an ATM strike for entry in CE and PE legs with 10% momentum each. If your overall Target hits, it will look for new ATM strikes available in the market and wait if any of your leg move 10% or not. It will enter only if your momentum condition holds true.
**Example** :- Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Exit :- 03:20
***
Strike :- ATM
***
Legs :- CE and PE
***
Positon :- Buy
***
Momentum :- 10%
***
Overall Target (MTM) :- 5000
***
RE-Entry Momentum on Overall Target :- 1 (Max you can do 5 re-entries)
\_Imagine your strategy CE and PE legs took entry respectively at 09:26 and 09:28 after momentum condition holds true. At 09:55, your overall Target hits.
***
Now according to our Re-Entry Momentum condition, it will look for a new ATM strike available at 09:55. Assume at 09:55 nifty was at 18556 so ATM is 18550 and CE price is 200 and PE price is 150. Now it will wait for our 10% momentum condition to hold true in any of CE or PE legs and it will take entry.
***
So it will take entry in the 18550 CE Buy position when price reaches 200 + 20 = 220 and in the 18550 PE Buy position when price reaches 150 + 15 = 165.\_
### RE-MOMENTUM ↩ on Overall Target
**This option enables you to re-enter in the reverse position in a new strike at market price as selected by you in the initial entry legs after your overall Target hits, when momentum condition holds true.**
***
If you haven't enabled momentum in strategy, this option will work like RE-ASAP-Reverse.
***
***For example*** let's assume you have selected an ATM strike Buy position for entry in CE and PE legs with 10% momentum each. If your overall Target hits, it will look for new ATM strikes available in the market and wait if any of your legs move 10% or not. If it holds true it will enter in reverse position i.e. Sell position instead of Buy position.
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Exit :- 03:20
***
Strike :- ATM
***
Legs :- CE and PE
***
Positon :- Buy
***
Momentum :- 10%
***
Overall Target (MTM) :- 5000
***
RE-Entry Momentum Reverse on Overall Target :- 1 (Max you can do 5 re-entries)\_
\_Imagine your strategy CE and PE legs took entry respectively at 09:26 and 09:28 after momentum condition holds true. At 09:55, your overall Target hits.
***
Now according to our Re-Entry Momentum condition, it will look for a new ATM strike available at 09:55. Assume at 09:55 nifty was at 18546 so ATM is 18550 and CE price is 200 and PE price is 150. Now it will wait for our 10% momentum condition holds true in any of CE or PE legs and it will take entry in reverse position i.e. Sell instead of Buy.
***
So it will take entry in the 18550 CE Sell position when price reaches 200 + 20 = 220 and in the 18550 PE Sell position when price reaches 150 + 15 = 165.\_
### Trailing Options
**This feature provides you different methods to trail your overall stop loss or overall profit.**
***
***For example*** let's assume you want to move your stop loss ₹ 500 for every ₹ 1000 overall profit or you want to lock a profit of ₹ 1000 if overall profit reaches ₹ 5000 or you want to lock ₹ 1000 profit when profit reaches ₹ 2000 and trail your locked profit ₹100 for every ₹100 in your favour.
#### How to use
First you need to enable Trailing Options as shown in the image below.
You can select any of the 3 options from drop down under Trailing Options as shown in the image below
1. Lock
2. Lock and Trail
3. Overall Trail SL
After selecting your desired option, you can enter the amount you want to lock or trail as shown in the image below.
## Lock and Lock and Trail Features
### Lock
**This option enables you to lock X amount of profit if your overall profit reaches a Y amount.** You can enter the amount in MTM terms.
***
***For example*** if you want to lock ₹ 1000 profit in case your overall profit reaches ₹ 4000, you can use this feature. So in case of reversal, the market reverses back in the opposite direction after hitting your ₹ 4000, it will exit if the profit comes below ₹ 1000.
***
**It will work on overall strategy only.**
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Exit :- 03:20
***
Strike :- ATM
***
Legs :- CE and PE
***
Positon :- Buy
***
Lock :- If profit reaches ₹ 10000, Lock Profit ₹ 5000\_
\_Imagine strategy took entry in Call and Put Buy position at 09:20 and at 10:45 profit reached ₹ 10000. So as soon as it crosses ₹ 10000, the system will lock ₹ 5000 profit.
***
So now assume after some time the market reverses and profit starts coming down. When it crosses below ₹ 5000, the system will exit at ₹ 5000 profit.\_
### Lock and Trail
**This option enables you to lock X amount of profit if your overall profit reaches a Y amount and then start trailing from lock profit.** You can enter the amount in MTM terms.
***
***For example*** let's assume you want to lock ₹ 1000 if profit reaches ₹ 2000 and after that for every ₹ 200 increase in profit trail lock profit ₹ 100, then you can use this feature. It will work on overall strategy only.
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Exit :- 03:20
***
Strike :- ATM
***
Legs :- CE and PE
***
Positon :- Buy
***
Lock and Trail :- If profit reaches ₹ 10000, Lock Profit ₹ 5000 and For every increase in profit by ₹ 2000 Trail profit by ₹ 1000\_
Imagine strategy took entry in Call and Put Buy position at 09:20 and at 10:45 profit reached ₹ 10000. So as soon as it crosses ₹ 10000, the system will lock ₹ 5000 profit.
***
Now according to our trail condition if profit reaches ₹ 12000, our lock profit i.e. ₹ 5000 will be trailed to ₹ 6000. Now again if profit reaches ₹ 14000, our lock profit i.e. ₹ 6000 will be trailed to ₹ 7000.
***
So now assume after some time the market reverses and profit starts coming down. When it crosses below our trailed sl i.e. ₹ 7000, the system will exit at ₹ 7000 profit.
### Overall Trail SL
**This feature enables you to trail your overall stop loss.**
***
You can trail in MTM or Overall Premium % terms. ***This feature will work only if overall stop loss is enabled.***
#### **Overall Trail SL in MTM**
**This feature enables you to trail your overall stop-loss in mtm terms.**
***
***For example*** your strategy has an overall stop-loss of ₹ 5000 and you want to trail it ₹ 1000 for every ₹ 2000 profit, you can do this using this feature.
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Exit :- 03:20
***
Strike :- ATM
***
Legs :- CE and PE
***
Positon :- Buy
***
Overall SL :- 10000
***
Overall Trail SL (MTM) :- 3000 - 1500\_
\_Imagine strategy took entry in Call and Put Buy position at 09:20 and at 10:45 profit reached ₹ 3000.
***
So as soon as it crosses ₹ 3000, trail your overall sl i.e. 5000 to 3500.
***
Now if profit reaches ₹ 6000, our overall SL will be trailed from ₹ 3500 to ₹ 2000.
***
Now again if profit reaches ₹ 9000, our overall SL will be trailed from ₹2000 to ₹ 500.
***
It will keep on doing till our overall tsl hit.
***
So now assume after some time the market reverses and profit starts coming down. When it crosses a loss below 500, it will be exited.\_
#### **Overall Trail SL in Premium %**
**This feature enables you to trail your overall stop-loss in premium percentage terms.**
***
***For example*** your strategy has an overall stop-loss of 30% of premium and you want to trail it 2% on premium for every 4% profit on premium, you can do this using this feature.
\*\*Example \*\*:- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Exit :- 03:20
***
Strike :- ATM
***
Legs :- CE and PE
***
Positon :- Buy
***
Overall SL :- 30% of Premium
***
Overall Trail SL (Premium % ) :- 5 - 2\_
\_Assume strategy took entry at 09:20 in ATM CE at 170 and ATM PE at 130
***
Combined premium = 170 + 130 = 300
***
Overall SL = 30 % of 300 = 90 points
***
Overall Trail = 5% of 300 and 2% of 300 = 15 - 6 points\_
\_Now it will trail your overall sl 6 points for every 15 point overall profit.
***
Now imagine your profit in strategy reaches 15 points, your overall SL i.e. 90 points will be trailed to 84 points.
***
If profit reaches 30 points, your overall SL i.e. 84 will be trailed to 78 points.
***
If profit reaches 45 points, your overall SL i.e. 78 will be trailed to 72 points.
***
It will keep on trailing until your overall trailed SL hits.\_
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/re-entry-on-range-breakout
import Iframe from "../../../../src/components/Iframe";
## [Re-Entry on Range Breakout.](https://algotest.in/feature/backtest?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=backtest)
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
:::info
**In this section we will learn about how the re-entry feature works if the Range Breakout feature is enabled.**
***
AlgoTest provides you with many different options for re-entry. You can use them by selecting from the dropdown under Re-Entry on SL/Tgt as shown in the image below.
:::
### **RE-ASAP ( Immediate Re-Entry) with ORB Feature Enabled**
:::info
**This option enables you to re-enter immediately after your stop-loss or target hit in a strike available at that time.**
***
***For example*** let's assume you have selected an ATM strike in your strategy for entry. After the SL/Target hits it will select a new ATM strike available at that time for entry.
You can select a maximum of 20 re-entries for SL and Target each on individual legs.
:::
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
ORB Range Timing :- 09:20 to 09:45 on instrument on high breakout
***
Strike :- ATM CE
***
Positon :- Buy
***
SL :- 30 Points
***
Re-ASAP = 1 (It means it will take max 1 entry on SL hit, you can enter max 20)\_
Assume at 9:20 spot is at 18502 so ATM strike is 18500 . Now at 09:50 ORB range high breaches and it took entry at 200.
***
Your SL is at = 200 - 30 = 170 and at 09:55 it hits
***
At 09:55 spot 18560 so ATM is 18550
Now according to our RE-ASAP condition it will look for ATM strikes available at 09:55 and take entry immediately in a new ATM CE strike available at 09:55. So this time strike it will select for re-entry is 18550
### **RE-ASAP ( Immediate Re-Entry Reverse) with ORB Feature is Enabled**
:::info
**This option enables you to re-enter immediately in the reverse position after your stop-loss or target hits in a new strike available at the time.**
***
***For example*** let's assume you have selected an ATM CE strike with Buy position in your strategy for entry. After the SL/Target hits it will select a new ATM strike available at that time and enter in the CE Sell position.
You can select a maximum of 20 re-entries for SL and Target each on individual legs.
:::
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
ORB Range Timing :- 09:20 to 09:45 on instrument on high breakout
***
Strike :- ATM CE
***
Positon :- Buy
***
SL :- 30 Points
***
Re-ASAP Reverse = 1 (It means it will take max 1 entry on SL hit, you can enter max 20)\_
Assume at 9:20 spot is at 18502 so ATM strike is 18500 . Now at 09:50 ORB range high breaches and it took entry at 200.
***
Your SL is at = 200 - 30 = 170 and at 09:55 it hits
***
At 09:55 spot 18560 so ATM is 18550
Now according to our RE-ASAP Reverse condition it will look for ATM strikes available at 09:55 and take entry immediately in a new ATM CE strike available at 09:55, but in reverse position i.e. sell instead of buy position. So this time strike it will select for re-entry is 18550 and enter in CE Sell position(Reversing CE buy to CE sell).
### **RE-COST (Re-Entry At Cost) with ORB Feature is enabled**
:::info
**This option enables you to re-enter in the original leg at initial entry price.**
***
***For example*** let's assume you have selected ATM CE strike with Buy position in strategy. Now if your SL/Target hits, it will select the same strike for re-entry and wait for the price to come back to the initial entry price. If it comes back then it will take an entry.
:::
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20 to 09:45 on instrument on high breakout
***
Strike :- ATM CE
***
Positon :- Buy
***
SL :- 30 Points
***
Re-Cost = 1 (It means it will take max 1 entry on SL hit, you can enter max 20)\_
Assume at 9:20 spot is at 18502 so ATM strike is 18500 and your ORB Range high breaches at 09:50 and it took entry at 200.
***
Your SL is at = 200 - 30 = 170 and at 09:55 it hits
***
Now it will select the same 18500 CE strike for re-entry and will wait if the price comes back to 200. If it comes at 200, it will take an entry at 200.
### **RE-COST (Re-Entry At Cost Reverse) When ORB Feature is Enabled**
:::info
**This option enables you to re-enter in the original leg at initial entry price in reverse position.**
***For example*** let's assume you have selected an ATM CE strike with Buy position in strategy. Now if your SL/Target hit, it will select the same strike in Sell position for re-entry and wait for the price to come back to the initial entry price. If it comes back, it will take an entry in the ATM CE Sell position at the initial entry price.
:::
**Example** :-\_ Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20 to 09:45 on instrument on high breakout
***
Strike :- ATM CE
***
Positon :- Buy
***
SL :- 30 Points
***
Re-Cost Reverse = 1 (It means it will take max 1 entry on SL hit, you can enter max 20)\_
Assume at 9:20 spot is at 18502 so ATM strike is 18500 and your ORB Range high breaches at 09:50 and it took entry at 200.
*Your SL is at = 200 - 30 = 170 and at 09:55 it hits Now it will select the same 18500 CE strike for re-entry and will wait if the price comes back to 200. If it comes at 200, it will take entry at 200 and reverse the CE Buy Position to CE Sell.*
*So it will take re entry in 18500 CE Sell position at 200.*
### **RE-MOMENTUM (Re-Entry On Momentum) With ORB Feature is Enabled**
:::info
**This option enables you to select a new ORB Range after your SL/Target hits and take entry if new range breaks.**
***
**For example** let's assume your ORB Range is 09:20 to 10:20 (1 hour range) and your SL/Target hits at 10:45. So it will select a new range from 10:45 to 11:45 (1 hour range) and take entry if it breaks.
:::
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20 to 10:20 ORB Range on Instrument on High Breakout
***
Strike :- ATM CE
***
Positon :- Buy
***
SL :- 30 Points
***
Re-Momentum = 1 (It means it will take max 1 entry on SL hit, you can enter max 20)\_
Assume at 9:20(entry time) spot is at 18502 so ATM strike is 18500 and it took entry at 10:30 at 200 (when our 1 hour ORB range 09:20 to 10:20 breakout happen) Your SL is at = 200 - 30 = 170 and at 10:55 it hits. Now according to our momentum re entry condition it will select a new range from 10:55 to 11:55 (1 hour range) and will take entry when its high breaches.
### **RE-MOMENTUM (Re-Entry Reverse On Momentum)**
:::info
**This option enables you to select a new ORB Range after SL/Target hits and take entry in a reverse position of your initial position if new range breaks.**
***For example*** let's assume your ORB Range is 09:20 to 10:20 (1 hour range) and you have defined CE Buy position if range high breaks for entry and Your SL/Target hits at 10:45. So it will select a new range from 10:45 to 11:45 (1 hour range) and take entry if it breaks into a reverse position i.e. CE Sell position.
:::
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20 to 10:20 ORB Range on Instrument on High Breakout
***
Strike :- ATM CE
***
Positon :- Buy
***
Simple Momentum :- 20 (Need to be enabled for momentum re-entry)
***
SL :- 30 Points
***
Re-Momentum-Reverse = 1 (It means it will take max 1 entry on SL hit, you can enter max 20)\_
*Assume at 9:20(entry time) spot is at 18502 so ATM strike is 18500 and it took entry at 10:30 at 200 (when our 1 hour ORB range 09:20 to 10:20 breakout happen) Your SL is at = 200 - 30 = 170 and at 10:55 it hits. Now according to our momentum re entry reverse condition it will select a new range from 10:55 to 11:55 (1 hour range) and will take entry in a reverse position i.e. ATM CE Sell position instead of ATM CE Buy when ORB Range high breaches.*
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/stop-loss-based-on-range-breakout
import Iframe from "../../../../src/components/Iframe";
## [Stop-Loss Based on Range Breakout](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest)
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
:::info
**This feature enables you to set your stop-loss based on high-low range as defined by you in range breakout.**
You can only use this feature only if you have enabled range breakout feature.
:::
#### How to Use
To use this feature first enable the **Stop-Loss** feature.
Now select **ORB Range** from the dropdown.
After selecting ORB Range, now you have 4 settings here as shown in the image below. You have 4 options to select from :
1. **ORB Range (High - Low Range, selected from drop-down)**
***
2\. **+/- (Add or Subtract from ORB Range)**
***
3\. **A number (The amount you want to add or subtract)**
***
4\. **Points/ % of Range (Given amount in points or percentage of Range terms)**
***
### **ORB Range SL in Points**
:::info
**This option enables you to set your SL based on ORB Range in points.**
It will work only if the Range Breakout feature is enabled for entry.
:::
**Example** :- Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Strike :- ATM CE
***
Positon :- Buy
***
Range Breakout Entry :- High of 09:16 to 09:30 on Underlying i.e. Nifty here
***
SL ORB Range :- ORB Range + 20 Points as shown4 in the image below
\_Now Assume entry ORB Range 09:16 to 09:30 High is 18760 and Low is 18710. So Range is = High - Low = 18760 - 18710 = 50 Points.
***
According to your SL conditions
***
SL = ORB Range + 20 Points
***
SL = 50 + 20
***
SL = 70 Points\_
*Now assume your ORB high 18760 is broken and it took entry, So your SL for ATM CE Buy is 70 point on underlying is i.e. at 18760 - 70 = 18690.*
### **ORB Range SL in % of Range**
:::info
This option enables you to set your SL based on ORB Range in terms of percentage. It will work only if the Range Breakout feature is enabled for entry.
:::
**Example** :- \_Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Strike :- ATM CE
***
Positon :- Buy
***
Range Breakout Entry :- High of 09:16 to 09:30 on Underlying i.e. Nifty here
***
SL ORB Range :- ORB Range - 20 Percentage of Range as shown in the image below\_
\_Now Assume entry ORB Range 09:16 to 09:30 High is 18760 and Low is 18710. So Range is = High - Low = 18760 - 18710 = 50 Points.
***
According to your SL conditions\_
\_SL = ORB Range - 20 % of Range
***
SL = 50 - (20 % of 50)
***
SL = 50 - 10
***
SL = 40 Points\_
*Now assume your ORB high 18760 is broken and it took entry, So your SL for ATM CE Buy is 40 point on underlying is i.e. at 18760 - 40 = 18720*
[Start backtesting on AlgoTest today.](https://algotest.in/feature/backtest?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=backtest)
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/folders
:::info
Organise your strategies however you want to because...
***
**Folders are here!**
:::
With the folders now you can create a strategy and quickly find the right place for it. You now have more control over how you organise your strategies.
Coupled with the [:**Optimiser**](https://docs.algotest.in/optimiser/), you will be able to optimise your strategies more efficiently and quickly!
Head over to [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) to try out the feature.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/algotest-glossary
Learn about the frequently used terms on [AlgoTest.](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest)
## **Underlying from**
The [:underlying
](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/instrument-settings/#underlying-from) instrument could either be the Cash instrument (eg. [NIFTY Index Spot](https://algotest.in/nifty-index-chart?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product-feature\&utm_term=index-chart)) or the Future instrument (eg. NIFTY current month future). This affects strike selection. Lets consider the case when NIFTY Index is at 17010 and NIFTY Future is trading at 17040. The ATM strike in both these cases would be as follows:
- Selecting "**Cash**" means ATM strike = 17000
- Selecting "**Future**" means ATM strike = 17050
Here are some more definition of terms used in our [Algo Trading platform.](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest)
## **Leg-wise settings**
Here are some [:leg-wise
](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/legwise-settings/) definition of terms used in our algo trading platform.
### Square off
- [:**Partial:**](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/legwise-settings/#square-off-partial) If a Stop Loss or Target Profit hits any leg, the system will square off only that leg.
- [:**Complete:**](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/legwise-settings/#square-off-complete) The system will square off all legs if Stop Loss or Target Profit hits any leg.
### Trail SL to Break-even Price
- [:**All Legs:**](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/legwise-settings/#trail-sl-to-breakeven-all-legs) If a Stop Loss hits any leg, the system will trail the Stop loss of all other legs in the strategy to their respective entry/cost prices.
- [:**SL Legs:**](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/legwise-settings/#trail-sl-to-breakeven-sl-legs) If a Stop Loss hits any leg, the system will only trail the SL of those legs whose SL is specified. The SL trails to their respective entry price.
### Select Strike Criteria
- [:**Strike Type:**](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/leg-builder/#strike-type) This criteria helps you select a strike based on its Moneyness. You can select between At the money (Strike closest to underlying), Out of the money (strikes away from the Underlying and have only time value and not intrinsic value) or In the money Strikes (Strikes have both intrinsic and time value).
- [:**Premium Range:**](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/leg-builder/#premium-range) This feature gives the user the ability to select strikes who's premium fall between an upper & lower premium range. If there are two or more strikes that fall between the premium range, then the one with a higher premium will be selected if the action is to Sell an option & the one with the lower premium will be selected if the action is to Buy an option.
***
Eg. If the user selects premium Lower range = 100 & Upper Range = 200, then all the strikes who's premium fall within the range of Rs 100 and Rs 200 for a particular backtest period will be shortlisted. Based on the Trade whether to Buy or Sell, the Strikes will be selected from this shortlisted list.
- [:**Closest Premium:**](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/leg-builder/#closest-premium) This criteria selects a strike price whose premium is closest to the one defined by the user. The strike selected can have premium which is either greater, lesser or exactly equal to the one input by the user.
- [:**Straddle Width:**](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/leg-builder/#straddle-width) Straddle Width is calculated by summing the ATM CE & PE premiums. The user is given the option to select a strike which is a sum or difference of the ATM strike and a multiple of the Straddle Width.
***
For eg. if the current Bank Nifty spot = 35000 and the Straddle width (ATM CE + PE) = Rs 500, then the CE strike for \[ATM strike + (2 X ATM Straddle price)] = 36000 CE Strike.
- [**% of ATM**](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/leg-builder/#atm-premium-)
This criterion selects strikes based on a **percentage distance from the ATM strike**.
- The distance from ATM is calculated using the percentage defined by the user.
- The strike is then adjusted above or below ATM accordingly.
This allows proportional strike selection relative to market movement rather than fixed point values.
***
- [**Synthetic Future**](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/leg-builder/#synthetic-future)
This criterion selects strikes based on the **synthetic future price**, which is derived using:
- ATM Call premium
- ATM Put premium
- ATM Strike price
Strikes are selected relative to the synthetic future instead of the spot price, making it useful for advanced and institutional-style strategies.
***
- **[ATM Straddle Premium](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/leg-builder/#strike-selection) %**
This option selects strikes based on a **percentage of the ATM straddle premium**.
- ATM Straddle = ATM CE + ATM PE
- The percentage defined by the user is applied to this value to determine strike distance.
This is particularly helpful in volatility-driven strategies where premium expansion or contraction matters.
***
- [**Closest Delta**](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/leg-builder/#strike-selection)
This criterion selects the strike whose **option delta is closest to the delta value specified by the user**.
- Delta can be either Call or Put delta depending on the leg.
- The selected delta can be slightly higher or lower than the input value.
Commonly used in delta-neutral or probability-based strategies.
***
- [**Delta Range**](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/leg-builder/#strike-selection)
This feature allows users to select strikes whose delta falls within a **specified delta range**.
If multiple strikes qualify:
- **Sell trades:** Strike with the **higher absolute delta** is selected.
- **Buy trades:** Strike with the **lower absolute delta** is selected.
This provides flexibility while maintaining delta control.
### Simple Momentum
Takes entry into the trade after the price moves a certain amount, in points or percentage, after the entry conditions.
### Trail SL
With [:trailing
SL](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/leg/#simple-momentum), you can move your actual stop loss, whenever the price moves in your favor. Every time the instrument moves in your favor by X amount, the SL is moved by Y amount in the same direction. Amount can be in terms of points or percentage.
### Re-entry
- **RE ASAP (Immediate Re-entry)**
- [: Re-enter immediately in the new ATM strike at the market price](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/re-entry/#re-asap-immediate-re-entry). For example, the user selected an ATM strike and its Stop Loss got triggered. The system will immediately re-enter the same position but with the new ATM strikes.
- **RE ASAP ↩ (Immediate Reverse Re-entry)**
- [:Re-enter
immediately in the new ATM strike at market price and reverse the position](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/re-entry/#re-asap--immediate-re-entry-reverse). For example, the user entered an ATM call at Rs 100 with SL at 40% (SL = Rs 140). If this Stop Loss triggers, the system will immediately re-enter with the new ATM strikes, but with a long position. SL will remain at 40%.
- **RE COST (At Cost Re-entry)**
- [:Re-enter
the original leg at previous entry price](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/re-entry/#re-cost-re-entry-at-cost). For example, the user sold an ATM call with SL 20 % at Rs 100 (SL = Rs 120). Now if the Stop Loss triggers, the system will wait for the price of this call to come back to Rs 100 (Entry Price) before it re-enters the same option. SL will remain at 20% upon re-entry.
- **RE COST ↩ (At Cost Reverse Re-entry)**
- [:Re-enter
the original leg at the initial entry price but reverse the position](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/re-entry/#re-cost-re-entry-at-cost-reverse). For example, if the user sold a call with SL 20% at Rs 100 (SL = Rs 120) and the Stop Loss HIT, the system will wait for the price of the Call to come back to Rs 100 (Entry Price) before it re-enters the same option. But, this time the system will take a reverse position, i.e. buy the call option instead. SL will remain at 20% upon re-entry.
- **RE MOMENTUM (Re-entry with Momentum)**
- [:If
the user has selected "**Simple Momentum**", then the system will wait for the momentum condition to hold true before it re-enters](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/re-entry/#re-momentum-re-entry-on-momentum).
- Eg. Suppose the user sets the "**Simple Momentum**" to Percentage Up 10%, Buy ATM call with entry time 9:30am and SL 5%. Assuming the price of the call at 9:30am is Rs 100, the system will wait till the price of the option reaches Rs 110 to buy it. Once the Stop Loss triggers, the system will choose the new ATM call and apply the "**Simple Momentum**" with Percentage up 10% and SL 5% to it. Say the price of the new ATM Call was Rs 50 when the SL triggered, the system will wait for the price of this option to go up to Rs 55 before it enters again. The SL will remain at 5%.
- If the user does not select "**Simple Momentum**", then this behaves exactly like **RE ASAP**.
- **RE MOMENTUM ↩ (Reverse Reentry with Momentum)**
- [:If
the user has selected "**Simple Momentum**", then the system will wait for the momentum condition to hold true before it re-enters](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/re-entry/#re-momentum-re-entry-reverse-on-momentum). But, this time it will re-enter the reverse position.
- Eg. Suppose the user sets the "**Simple Momentum**" to Percentage Up 10%, Buy ATM call, entry time 9:30am and SL 5%. Assuming the price of the call at 9:30am is Rs 100, the system will wait till the price of the option reaches Rs 110 to buy it. Once the SL triggers, the system will choose the new ATM call and apply the "**Simple Momentum**" with Percentage up 10% and SL 5% to this. Say the price of the new ATM Call was Rs 50 when the SL triggered, the system will wait for the price to go up to Rs 55 before it enters again. But, this time the system will sell the call instead. The SL will remain at 5%.
- If the user does not select "**Simple Momentum**", then this behaves exactly like **RE ASAP ↩**
- **Lazy Leg**
- [:](https://docs.algotest.in/features/re-entry/#REMOMENTUMReEntryReverseOnMomentum)A lazy leg refers to a part of your strategy's leg that you can set to activate under certain defined conditions without manual intervention. It extends the capability of our platform, allowing for more sophisticated management of entry and exit strategies.
- *For example*, if your strategy involves selling an ATM call with a 20-point stop loss, you can use the Lazy Leg feature to execute an OTM put sell leg with a 10-point stop loss and 20-point target if the initial stop loss is hit. This feature gives you more flexibility and control in executing your trades.
You can create a "Lazy Leg" by selecting the option in the Re-Entry feature and inputting your desired parameters for the leg before clicking on "Create and Select".
**Example** :- Let's assume you created a strategy
**Underlying** :- Nifty
***
**Entry** :- 09:20
***
**Strike** :- ATM CE
***
**Positon** :- Buy
***
**SL** :- 30 Points
***
**Re-Entry on SL (Lazy Leg)** :- OTM2 CE Sell, SL 20%, Target 40%
Assume that at 9:20 the spot is at 18502 so ATM strike is 18500 and 18500 CE premium is 200
Your SL is at = 200 - 30 = 170 and at 09:45 it is hit and triggered.
Now assume that at 09:45 the spot is at 18465 so OTM2 for CE is 18550 CE.
So as per our Lazy Leg condition it will execute the 18550 CE with 20% Stop-Loss and 40% Target at 09:45.
## **Overall Settings**
Here are some [:overall
strategy-level](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/overall-strategy-settings/#overall-strategy-settings) definition of terms used in our algo trading platform.
### Overall Trail SL
This is a strategy level feature. With Overall trail SL, you can move your Overall stop loss, whenever the MTM or Profit moves in your favor. So every time the strategy MTM moves in your favor by X amount, we will move the stop loss by Y amount in the same direction. Amount can be in terms of Points or Rupees or percentage of total premium received or given.
### Overall Re-entry
[:Overall
Re-entry](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/overall-strategy-settings/#overall-stop-loss) is triggered only in the case when the Overall strategy Stop Loss gets hit.
- **RE ASAP (Immediate Re-entry)**
- Re-enter immediately in the strategy with new ATM strikes at market price. For example, assume the overall strategy SL gets triggered. The system will immediately re-enter the same positions with the new ATM strikes.
- **RE ASAP ↩ (Immediate Reverse Re-entry)**
- Re-enter immediately in the strategy with new ATM strike at market price and reverse the position. For example, the user enters a short ATM Straddle (Call & Put) with an **Overall Stop Loss** 40% at a combined premium of Rs 100. So Overall SL in this case is Rs 140. Now when the Stop Loss triggers, the system we will re-enter the Straddle (Call and Put) with the new ATM Strikes. But, this time it will take a long position, **Overall Stop Loss** will remain the same at 40%.
- **RE MOMENTUM (Re-entry with Momentum)**
- If the user has selected "**Simple Momentum**", then the system will wait for the momentum condition to hold true before it re-enters.
- Eg. Suppose the user sets the "**Simple Momentum**" to Percentage Up 10% for ATM Buy Call and Put, with entry time 9:30am and Overall Stop Loss at 5%. Once the Overall Stop Loss is HIT, the system will choose the new ATM call and Put and apply the "**Simple Momentum**" with Percentage up 10% and Overall Stop Loss of 5% to this. Say the price of each of the new ATM Call & Put is Rs 50 when the Overall Stop Loss triggered, the system will wait for the price of either of these options to go up to Rs 55 before it enters again and puts the Overall Stop Loss at 5% as before.
- If the user does not select "**Simple Momentum**" this behaves exactly like **RE ASAP**.
- **RE MOMENTUM ↩ (Reverse Reentry with Momentum)**
- If the user has selected "**Simple Momentum**", then the system will wait for the momentum condition to hold true before it re-enters, but this time it will re-enter the reverse position.
- Eg. Suppose the user sets the "**Simple Momentum**" to Percentage Up 10% for ATM Buy call and Put, with entry time 9:30am and Overall Stop Loss at 5%. Once the Overall Stop Loss is HIT, the system will choose the new ATM call and Put and apply the "**Simple Momentum**" with Percentage up 10% and Overall Stop Loss of 5% to this. Say the price of each of the new ATM Call & Put is Rs 50 when the Overall Stop Loss triggered, the system will wait for the price of either of these options to go up to Rs 55 before it enters again. But this time it will sell the options instead. The Overall Stop Loss will again be put at 5%.
- If the user does not select "**Simple Momentum**" then this behaves exactly like RE ASAP ↩
## [**Execution Settings**](https://algotest.in/feature/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=live)
Here are some [:execution
settings](https://docs.algotest.in/execution-settings/) that would be helpful for Live Trading :
- **Quantity Multiplier:** The quantity multiplier function has been given to the user as an easy way to deploy multiple lots of a particular strategy. The Quantity Multiplier, multiplies the number of lots in the strategy by the value of the Quantity Multiplier. If the strategy has **Overall Settings** like **Overall SL**, **Overall Target** & **Overall Trail SL**, based on **MTM** and not percentage, then they will also be respectively Modified.
- **NRML/MIS**: You can choose your order type to be of type NRML/MIS. NRML is the default type. If the exit time of your strategy is **after the MIS cut-off time** of your broker, then you won't be able to select MIS.
- **Tgt/SL Ref Price**: You can select the base for calculating stop loss and target. If you choose "Trigger Price", then the stop loss and target will be calculated based on the trigger price, or if you choose "Traded Price", then the stop loss and target will be calculated based on the actual traded price. E.g., If your entry was at 9:20 and the price of the leg at that time was 100(Trigger Price), but you got the price of 101(Traded Price). Then you can select whether your SL would be based on 100 or 101.
- **Delay entry by**: Once the condition of leg entry has been triggered, you can take the entry after some seconds, it takes value from 0 to 50.
- **Entry Order Type/Exit Order Type**: It can be of type Market or Limit. Please [visit this post](https://algotest.in/blog/faqs-about-sl-l-orders-algo-trading-software-india/) for detailed explanation and how it works.
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/broker-level
# Broker Level Settings
At [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest), you have the luxury of setting up Stop Loss, Target and Trailing Stop Loss on all the strategies that you deployed on a specific broker on the platform. These settings are called "Broker Level Settings".
These settings will apply to all the strategies that you deploy through AlgoTest, but not on trades that you make manually through your broker. To access these settings, you can go to the "live trade" page in AlgoTest, but note that this feature is only available after you have deployed a strategy.
## How to configure Broker Level Settings
To configure broker-level settings, you just need to follow a few simple steps. See the instructions below for guidance.
- Please navigate to the ["Algo Trade"](https://algotest.in/feature/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=live) page in Algotest by clicking on the corresponding button as displayed in the image below.
- On the Live Trade page, you can view your deployed strategy/portfolio and the running MTM of a specific broker. To add Broker Level Settings, click on the "Add Settings" button shown.
- Click on the "Edit" button.
- Now there is an option to set broker level Stop Loss, Target and Trailing. You can choose the desired feature and save the settings by clicking on the "setup" button.
- Assuming that our loss exceeds 5000, the system will square off all our strategies. To set this up, we must enter 5000 in the stop loss field and click the "Setup" button.
- Our broker level settings are added. Now, as soon as our stop loss breaches 5000, all our running strategies will be squared off.
## How Broker Level Target Works
In Algotest, you can set a broker level target that applies to all deployed strategies. This target automatically squares off all running strategies once it's reached.
***
For instance, if you set the broker level target to 5000, as soon as it crosses, all strategies will be squared off. It's important to note that this setting needs to be updated daily.
To set a target at the broker level, please follow the steps below:
- To proceed, kindly locate and click on the 'Target Profit' button as indicated in the image below.
- We want that if the overall profit of deployed strategies reaches 10000, the system will automatically square off all my strategies. To set this up, I will enter 10000 in the target and click the "Setup" button.
- Our broker level settings have been configured to automatically square off all running strategies once the target of 10000 is reached, as shown in the image below.
## How Broker Level Trailing Works
This feature allows you to trail the overall profit or loss of your deployed strategies. To access the trailing options, click on "Trailing Options".
This feature provides three options for trailing: Overall Trail SL, Lock Profit, and Lock and Trail.
### Overall Trail SL
This feature allows you to trail your broker level overall SL as the market moves in your favour.
***
For example your broker level SL is 5000 and you want that for every Rs. 500 profit, trail your broker level SL by Rs. 500, you can do this using this feature.
Imagine your broker level MTM reached ₹ 500.
So as soon as it crosses ₹ 500, trail your broker level sl i.e. 5000 to 4500.
Now if profit reaches ₹ 1000, our broker level SL will be trailed from ₹ 4500 to ₹ 4000.
Now again if profit reaches ₹ 1500, our broker level SL will be trailed from ₹ 4000 to ₹ 3500.
It will keep on doing till our broker level trailing sl hit.
So now assume after some time the market reverses and profit starts coming down. When it crosses a loss below 3500, it will exit all your strategies.
To set the Broker Level Trail SL, please follow the steps below.
- Please click on the "Trail Stop Loss" button.
- Click on the "Setup" button after entering your trailing inputs.
- You can now view the "Trailed Stop Loss" section in your settings, which displays the Trailed value of your broker level. This information is accompanied by a message that reads "Settings Added,".
### Lock
This feature enables you to secure your profits.
***
Let's say you want to ensure that if your profit reaches a certain amount, let's call it 10000, you take at least 5000 home in case the market reverses. You can use this feature to lock in the 5000 when your profit reaches 10000. This way, if the market goes against you and your profit drops below 5000, the feature will exit the deployed strategies.
Imagine your broker level profit reached ₹ 10000. So as soon as it crosses ₹ 10000, the system will lock ₹ 5000 profit.
So now assume after some time the market reverses and profit starts coming down. When it crosses below ₹ 5000, the system will exit at ₹ 5000 profit.
**To set a lock, follow the steps below:**
- Click on the Lock button and enter your desired inputs.
- To save the settings, please click on the "Setup" button.
- You will see "Settings Added". Once your lock condition is met, you will see the locked profit value under "Locked Profit".
### Lock and Trail
This particular feature enables you to secure your profit and subsequently trail your secured profit as the prices move in your favour.
***
For instance, if you wish to lock your profit when it reaches a certain amount of 10000, say 5000, and then trail your secured profit by 500rs for every 500rs increase in profit from 10000rs, you can easily do so using this feature.
Imagine broker level profit reached ₹ 10000. So as soon as it crosses ₹ 10000, the system will lock ₹ 5000 profit.
Now according to our trail condition if profit reaches ₹ 10500,, our lock profit i.e. ₹ 5000 will be trailed to ₹ 5500. Now again if profit reaches ₹ 11000, our lock profit i.e. ₹ 5500 will be trailed to ₹ 6000.
So now assume after some time the market reverses and profit starts coming down. When it crosses below our trailed sl i.e. ₹ 6000, the system will exit at ₹ 6000 profit.
To set the Lock and Trail, follow the steps below:
- To enable the lock and trail feature, click on the "Lock and Trail" button and enter the desired trailing condition in the space provided, following the displayed instructions.
- To save the settings, please click on the Setup Button.
- You will see "Settings Added". Once your lock condition is met, you will see the trailed profit value under "Trailed Profit".
## Will the MTM of Squared-Off Strategies be considered?
- Set SL/Target across all active or squared-off strategies for the day.
- Broker-level SL/Target can be set at any point during the day and will consider the P\&L of all running and squared-off strategies for that broker.
## **IMPORTANT POINTS**
- Broker-level settings must be set daily and apply only to strategies deployed via AlgoTest, not manual trades.
- Strategies in a paused state or switched to manual mode are excluded from MTM calculations.
- For strategies that go into an error state, only the closed leg MTM will be considered in broker-level calculations.
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/entry-by-exact-strike
# Entry by Exact Strike
How cool would it be if you could make a predefined trade with just one click using an algorithm? You'll be excited to hear that [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) has introduced a new feature called "Entry By Exact Strike." This feature empowers you to choose a specific strike price when setting up a trading strategy.
Let's say you want your system to automatically execute the Nifty 23450 PE for the current week's expiry -- you can simply input this into the system. Then, once your entry conditions align with your strategy, it will smoothly execute the Nifty 23450 PE trade.\
\
Trade setup testing
## How to Use "Entry by Exact Strike"
To use this feature, follow the simple steps shown below.
- Visit [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) and log in to your account. The dashboard will be displayed as shown in the image below.
- Now we need to create a strategy within the 920 simple section. Click on the "create strategy" button under the 920 simple section as shown in the image below.
- Now, in the Leg Builder, you can choose the "Exact Strike" option from the dropdown menu under the strike criteria, as illustrated in the image below.
- Now enter the strike price that you want to set. For example, if you want to select BankNifty Current Weekly 49900 CE Strike, you can set the input as shown below.
You're all set to add this leg by simply clicking on the Add Leg button. After that, you can save the strategy and begin trading!
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/margin-estimate
# Margin Estimate | AlgoTest
It's crucial to understand the required margin for executing a strategy. If your margin is insufficient, your broker may reject your orders, effectively stopping your strategy. This could result in missing out on a profitable opportunity if the day turns in your favour. Therefore, it's essential to know the margin requirements in advance before putting a strategy into action.
AlgoTest's Estimate Margin feature allows you to proactively check the required margin for your trading strategy. With this tool, you can confidently proceed with your strategy without any worries about meeting margin requirements. This ensures a smooth and seamless execution of your trading plan.
## How to Use AlgoTest's **Estimate Margin** feature
To utilise the **AlgoTest Estimate Margin** feature, please follow the steps outlined below:
- Start by creating and backtesting the strategy for which you want to understand margin requirements. Click the "Start Backtest" button to begin.
- To proceed, scroll down and click on the "Calculate Margin" button depicted in the image below.
- It will display the margin required to execute the strategy depicted in the image below.
## NSE F\&O Margin – Short Summary
Margin is the amount required to take a Futures & Options position and is **risk-based**, not based on contract value.
### **Margin Components**
- **SPAN Margin:** Calculated by NSE using worst-case risk scenarios (price, volatility, time). Changes daily.
- **Exposure Margin:** Additional safety margin charged by NSE/brokers.
- **Option Premium:** Option buyers pay only the premium (no SPAN/exposure).
### **Margin Calculation**
- **Futures:**\
`SPAN + Exposure`
- **Option Selling:**\
`SPAN + Exposure – Hedge Benefit (if any)`
- **Option Buying:**\
`Option Premium only`
Hedged positions require significantly lower margin than naked positions.
***
## How SPAN Margin Is Calculated
SPAN is a **risk-based margin** representing the **maximum possible loss** under predefined NSE market scenarios.
NSE evaluates each position across multiple scenarios involving:
- Price movement
- Volatility changes
- Time decay
For every scenario, NSE calculates the potential profit or loss.\
The **highest loss among all scenarios becomes the SPAN margin**.
`SPAN = Maximum loss across all risk scenarios `
Hedging caps maximum loss, which reduces SPAN margin accordingly.
***
## **Key Points**
- Margin changes daily due to price, volatility, and expiry.
- Exact SPAN values cannot be calculated manually (proprietary NSE model).
- Always keep a buffer, as brokers may add extra margin.
**To summarize:**\
**SPAN margin = Maximum potential loss of a position under NSE’s worst-case market scenarios.**
:::warning
**Please note:**
- The margin displayed is an approximate margin provided by NSE. Brokers may charge additional fees, so it's advisable to add a buffer to it.
- Currently, you can view the margin required for a specific strategy. **Information for the entire portfolio will be available soon.**
:::
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/heatmap
import Iframe from "../../../../src/components/Iframe";
# Heatmap Feature
:::note
Link to Heatmap : [Click here!](https://algotest.in/heatmap?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=heatmap)
:::
:::info
Learn how to use the Heatmap Feature from a certified **SEBI Research Analyst - Sandeep Rao**!
:::
## What is the Heatmap Feature?
The Heatmap feature on AlgoTest offers traders an intuitive way to visualise profit and loss (P\&L) trends for options strategies, particularly Short Straddles. By using heatmaps, traders can instantly identify patterns over different periods, gaining insights into which strategies have performed well or underperformed in the market. This feature is ideal for analysing up to 60 days of data across various indices such as Sensex, Bankex, Nifty, BankNifty, FinNifty, and MidcapNifty.
## What is a Short Straddle?
A Short Straddle is a neutral options strategy where a trader sells both a call and a put option at the same strike price and expiration date. The strategy benefits when the price of the underlying asset stays close to the strike price, minimising volatility.
## Indices Available
The Heatmap feature supports the main six indices:
> **Sensex**
***
> **Nifty**
***
> **BankNifty**
***
> **FinNifty**
***
> **MidcapNifty**
***
> **Bankex**
***
Users can easily switch between these indices for their analyses.
## Requirements for Using the Heatmap Feature
To start using the Heatmap feature, the only requirement is:
***
> An active AlgoTest account.
## **How to Use**: Select Mode
The Heatmap offers three different modes for analysis:
1. **Time vs SL**: Compare performance over various time slots and stop loss levels.
2. **Date vs Time**: See how the Short Straddle strategy performed over a range of dates and time intervals.
3. **Date vs SL**: Compare performance over various dates and stop loss levels.
Each mode serves a unique purpose, and you can switch between them depending on your analysis needs. Additionally, traders can choose from the six indices to compare data (e.g., Nifty, BankNifty, etc.).
### Time vs SL Mode
In Time vs SL mode:
> Y-axis: Time intervals throughout the trading day.
***
> X-axis: Various stop loss levels.
This mode is useful for tracking how different stop loss levels perform during different times of the day. For example, in one of the Sensex Short Straddle heatmaps, you can see the varying P\&L across time and stop loss settings, colour-coded to indicate profit or loss (green for profit, red for loss).
Refer to Image 1 to see the Time vs SL mode in action, where we analyse the performance with split PE/CE data for better granularity.
### Date vs Time Mode
In Date vs Time mode:
> Y-axis: Time (in 30-minute intervals).
***
> X-axis: Dates over your selected range.
This mode helps analyse how the Short Straddle strategy performs across different trading days. For instance, setting a 10% stop loss might show one performance trend, while changing it to a 40% stop loss can reveal different P\&L outcomes.
You can visualise and compare data from different dates and times, making it easier to identify profitable time slots or risk-heavy periods.
### Date vs SL Mode
In Date vs SL mode:
> Y-axis: Stop Loss levels.
***
> X-axis: Dates of trading days.
This mode allows traders to observe how performance varies across different stop loss levels for each trading day. You can also adjust the specific time slots for more refined analysis.
By setting the time to, say, 9:16 AM or 12:45 PM, traders can get insights into how the strategy performs at different stop loss thresholds across the trading day.
#### Customization Options
Each of the above modes provides several customization options:
> **Time periods**: Set specific time intervals (e.g., from 9:16 AM to 12:45 PM) for more granular insights.
***
> **Stop Loss levels**: Adjust the stop loss level to match your risk tolerance and strategy.
***
> **Indices**: Toggle between Nifty, BankNifty, FinNifty, and MidcapNifty for comparative analysis.
***
## Conclusion
AlgoTest’s Heatmap feature is a powerful, easy-to-use tool for traders who want to optimise their Short Straddle strategies. With colour-coded P\&L trends, flexible modes, and support for multiple indices, the Heatmap provides comprehensive insights into how your strategy performs over time.
Start exploring the Heatmap feature today and take control of your trading strategies!
## Other Trader Friendly Products
[:MTM
Generator (Chrome and Firefox Extension)](https://docs.algotest.in/trade-mtm-analysis/browser-extension/)
***
[:Free
Straddle and Strangle Charts](https://docs.algotest.in/charts/)
***
[:Margin
Estimate for Options and Futures](https://docs.algotest.in/features/margin-estimate/)
---
// File: Time-Based-Algo-Trading/algo-trade/strategy-deployment-features
# Strategy Deployment Features
[AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) offers a range of highly customizable features that enable you to tweak your running strategy to meet your specific needs. With these adaptable features at your disposal, you can effortlessly manage your approach without any constraints.
## **Square off**
This feature enables you to square off your strategy with just one click manually. Once you click on the "Square off" button, your strategy will exit all its positions and pending orders. It won't take any further orders after that. You can square off your strategy by clicking on the "Square off" button, as shown in the image below.
## **Switch to Manual**
This feature gives you the ability to manage your trading strategy manually through your broker's platform. When you click on the "Switch to Manual" button, your strategy will be disconnected from AlgoTest and the system will no longer generate any further orders for that strategy. You will need to handle the strategy manually through your broker's platform. To switch your strategy to manual mode, simply click on the "Switch to Manual" button, as illustrated in the image below.
## **MTM Graph**
The MTM graph is an invaluable tool that visually displays your PNL (Profit & Loss) throughout the day. It helps traders :
- analyze how their PNL is affected by different price movements in the underlying
- fine-tune their strategies based on market movements
- provides a visual representation of our Profit & Loss throughout the day!
### How to View your MTM Graph on AlgoTest
You can easily view your MTM Graph on [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) by following the steps shown in the image below :
- Navigate to the Algo trade page in AlgoTest, which is displayed in the image below.
- Click on the "MTM Graph" button, which is displayed in the image below.
- Your MTM graph will be displayed, as shown in the image below.
- This graph provides you with valuable information to help you analyze your trading strategy and make adjustments based on market conditions.
#### Show Underlying Feature
The "Show Underlying" feature plots the underlying index graph on your MTM (Mark to Market) graph, allowing you to analyze how your MTM moved in response to changes in the underlying market.
#### Min/Max MTM Feature
The "Min MTM" feature shows you the lowest point your MTM reached throughout the day and when it reached that point, while the "Max MTM" feature shows you the highest point your MTM reached throughout the day and when it reached that point.
#### Download MTM Feature
You can also download your MTM graph in image format to your device, as well as the minute-wise MTM of your strategy/portfolio for deeper analysis in CSV format.
## **Add a Leg (Add a leg on the fly)**
This new feature enables you to add another trade to a running strategy, which gives you greater control over your active trades. You can now adapt to market changes quickly by adding another leg (trade) to an already-running strategy. This feature provides you with more flexibility and control over your trades.
### How to Add a Leg to a Running Strategy
To add a leg to your running strategy, you need to follow a few simple steps.
- To begin, locate the "trades" button on the live trade page and click on it.
- Click on the "Add Leg" button.
- Select the option contract you want to trade by choosing the desired strike and expiry from the options chain.
- It offers several risk management features, allowing you to input Stop-Loss, Target, Trail SL, and Re-Entry based on your preferences.
- Customize Execution Settings to enhance your order execution. Select product and order type based on your preference.
- Click the "Place Order" button to proceed, as shown in the image below.
- You can find the leg added to our strategy under "Running Legs". There is also a notification of it in the notification box, as shown in the image below.
### Impact on Running Strategy
Please note the following information regarding the impact on your running strategy when you add a new leg:
- Your overall settings, such as Overall Stop Loss, Target, Trailing Stop Loss, and Lock & Trail, will remain unchanged after adding a new leg.
- The "No Re-entry after" setting will also apply to the newly added leg. You can enter the new leg after the specified time but you will not be able to re-enter it after the set time.
- You can set your execution settings for the newly added leg while adding it.
- Please note that you cannot have more than 10 legs in a strategy. Therefore, your new and existing legs cannot be more than 10.
- The range breakout functionality is not available for this feature.
- The Quantity Multiplier will not be applied to the newly added leg. Therefore, you need to specify the exact number of lots you would like to trade.
## **Squareoff Individual Leg**
With this amazing feature, you'll have the power to swiftly and independently close any leg in your trading strategy. Take control of your trades and make informed decisions, all with the ease and convenience of this outstanding tool.
### Square Off Individual Leg in Strategy
To Square Off individual legs in a running strategy, you need to follow a few simple steps.
- To get started, locate and click on the "Trades" button that is situated on the live trade page.
- This page displays all the running legs in your strategy. Click the "Squareoff" button on the right corner of each leg as shown in the image below.
- The system will prompt you to confirm the action. At that point, simply click on the "Square Off" button to proceed.
- It will only square off that particular leg, as shown in the image below.
### Impact on Running Strategy
If you choose to use this feature, it will not affect your other running legs or legs that you have yet to enter. Your overall running strategy status will remain the same. Let's explore how your other parameters will be impacted if you decide to use this feature.
| **Condition** | **Square- off** | **Legwise Re-entry on SL/Tgt (Any)** | **Overall Re-entry on SL/Tgt (Any)** | **Action** |
| :----------------------- | :-------------- | :----------------------------------- | :----------------------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Time-Based Strategy** | Partial | No | No | Based on your discretion, you can square off any of the legs while the remaining legs will continue to run as per defined conditions. |
| **Time-Based Strategy** | Complete | No | No | You can choose to square off any of the legs at your discretion, without triggering the Square off in complete condition. The remaining legs will continue to run based on their defined conditions. The square-off complete condition will only be triggered once the defined Stop Loss (SL), Trailing Stop Loss (TSL), or Take Profit (TP) of the remaining legs are hit. |
| **Simple Momentum/ ORB** | Partial | No | No | When using this feature, you can only square off the leg that has been entered. Once that leg has been squared off, the strategy will continue running and any other legs that have not been entered yet will wait for their conditions to be met. Please note that you cannot use this feature to square off or cancel the order for a leg that has not been entered yet. |
| **Simple Momentum/ ORB** | Complete | Yes | No | The Running Legs can only be squared off by using this feature. However, doing so will not trigger the square off complete condition. The strategy will remain in a "Running" state and wait for conditions to be fulfilled for the other leg. The square-off complete condition will only be triggered when the remaining leg's defined SL/TSL/TP is hit. |
| **Time-Based Iron Fly** | Partial | Yes | No | Any of the legs can be squared off, making its re-entry condition useless, while the other legs continue to function as intended. |
| **Time-Based Iron Fly** | Complete | Yes | No | You can square off any of the legs. This will not trigger the square-off complete condition or the Re-entry condition for the manually squared-off leg. The square-off complete condition shall only be triggered once the remaining leg is defined SL/TSL/TP gets hit, thus triggering the re-entry condition for all legs. |
| **Simple Momentum/ ORB** | Partial | Yes | No | When using this feature, it's important to note that the legs can only be squared off once they have been entered into the market. Once you've manually squared off a leg, the strategy will continue to run, but any yet-to-be-entered legs will wait for their conditions to be met before entering the market. It's important to keep in mind that the re-entry condition on a manually squared-off leg will never be triggered. Additionally, it's not possible to square off or cancel an order for a leg that has yet to be entered. |
| **Simple Momentum/ ORB** | Complete | Yes | No | The Running legs must be squared off individually. Squaring off any one of the running legs will not trigger the condition for the complete square-off or the re-entry condition for the squared-off leg. The strategy will remain running and wait for the fulfillment of conditions for the other legs. Only when any of the other legs enter and square off due to their SL/TP/TSL condition being triggered will the square-off be complete and the Reentry condition for all legs be triggered. |
| **Time-Based Iron Fly** | Partial | Yes | Yes | It is possible to square off any of the trading legs, making the re-entry condition for that particular leg ineffective. However, the other legs will continue to run as per the defined conditions. The overall re-entry condition will only be triggered when the overall Stop Loss, Trailing Stop Loss, Take Profit, or Lock-in Profit Target is hit. At this point, all trading legs will be squared off and the strategy re-entry will take place. |
| **Time-Based Iron Fly** | Complete | Yes | Yes | It is possible to square off any of the legs, but doing so will not trigger the square off in complete condition. The square-off complete condition will only be triggered once the remaining leg's defined Stop Loss (SL), Trailing Stop Loss (TSL), or Take Profit (TP) gets hit, thus triggering the re-entry condition for all legs. The overall re-entry condition will be triggered once the overall SL, TSL, TP, or LT hits. At this point, all legs will be squared off and the strategy re-entry will take place. |
## **Trades**
This feature gives you all the info about the trades executed in your strategy.
### Instrument
This will display the contract information for the executed order.
### Quantity
This will display the quantity of your order that has been executed.
### Entry Trigger Time
This displays the time at which your entry order became active for execution.
### Entry Time
This will display the time at which your entry order is executed in the market.
### Entry Trigger Price
This will show you the price at which your order became active for execution. It is the price that came on our feed when your entry condition was met as per what you have defined in your strategy.
### Entry Price
This displays the price at which your entry order is executed.
### Entry Report Time
This will display the time at which the broker confirms the execution of your Entry Order.
### Initial SL
This displays the price at which your stop loss is placed based on your strategy.
### Updated SL
This displays the trailed stop loss for each individual leg.
### Target
This feature displays your target price for your leg based on your strategy.
### Exit Trigger Time
This displays the time at which your exit order became active for execution.
### Exit Time
This will display the time at which the specified leg is exited.
### Exit Report Time
This will display the time at which the broker reported to us that your Exit Order has been executed on their end.
### Exit Trigger Price
This will show you the price at which your order became active for execution. It is the price that came on our feed when your exit condition was met as per what you have defined in your strategy.
### Exit Price
This displays the price at which your order for exit is executed.
### Underlying
It shows the underlying value at the time your leg entered and exited.
---
// File: Time-Based-Algo-Trading/algo-trade/view-available-margin
In Algo Trade, you can view the **last fetched Available Margin** and **Blocked Margin** for each connected broker directly from the execution page.
This helps you quickly check how much margin is available before activating a strategy or while monitoring your running executions.
## How to View Broker Margin
1. Go to **[Algo Trade](https://algotest.in/feature/live)**.
1. After logging in, select your execution or running strategy.
2. You will see the **Available Margin** and **Blocked Margin** for your selected broker on the page.
If you're using multiple brokers, you can switch between them to view the corresponding margin details.
## What You'll See
The margin section displays:
- **Available Margin** – The last fetched margin available with your broker for placing new trades.
- **Blocked Margin** – The margin currently blocked against your open positions.
These values are fetched from the broker whenever supported.
You can also view Available and Blocked Margin on broker setup under 'my brokers'.
## Important Points to Remember
- The displayed values are the **last fetched** margin from your broker.
- Margin values depend on your broker's API support.
- If a broker does not support fetching margin information, AlgoTest will continue showing the internally calculated blocked margin.
- If you're connected to multiple brokers, margin information is displayed broker-wise.
---
// File: Time-Based-Algo-Trading/algo-trade/past-trades
## History (Past Trades on AlgoTest)
The past trades view on [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest), an intuitive algo trading platform, has been revamped!
Now there's a lot more more information about your trading journey that you can track.
Let's break it down into the different sections to understand how you can better track your trades.
### How to find the History (Past Trades View)
**Navigation to find History (Past Trades View):**\
• Go to the **Algo Trade** page on AlgoTest\
• Click on **History** in the top left section\
• The **History (Past Trades View)** page will open, where you can check your past trades
### Filter Options in the Past Trades View
AlgoTest provides you with multiple options to filter your past trades, allowing you to better understand your trading history.
#### Filters:
- **Strategies**: Filter by selected strategies.
- **Portfolios**: Filter by portfolios.
- **Start Date**: Select the start date for the analysis.
- **End Date**: Select the end date for the analysis.
- **Index**: Select a specific index you traded on or select all of them for a comprehensive analysis.
- **Broker**: Select the broker you wish to see the past trades of. Or select all of the brokers you traded with.
### Calendar View of Past Trades
You get a calendar view of past trades for a quick glance information regarding your past trades and their performance.
#### **Calendar View Breakdown:**
- **Rows**: Days of the week (S, M, T, W, Th, F, S).
- **Columns**: Dates.
- **Colours**: Red for loss, Green for profit, Light colours for smaller loss and smaller profit, Grey for a non-trading day.
- **Tooltip**: Indicates specific details when hovered over a date.
- **Months**: Separate sections for different months based on the trading period selected.
### PnL Over Time
Your PnL is tracked and presented to you as a graph based on the filters you selected for analysis.
**Date Axis**: Dates based on the time period you set.
**PnL Axis**: Profit and Loss values in INR.
**Graph**: Shows the trend of PnL over time, with a tooltip indicating PnL value on specific dates.
### Detailed Trade Information
At the bottom of the screen you can see a detailed breakdown of your past trades.
#### Here are the different types of data presented :
- **Instrument**: Lists the traded instrument and its contract expiration date (e.g., BANKNIFTY 22 May 48900 CE x 15).
- **Entry Price**: Entry price for the trade.
- **Entry Time**: Time the trade was entered.
- **SL (Stop Loss)**: Stop loss price.
- **TP (Target Profit)**: Target profit price.
- **Exit Price**: Exit price for the trade.
- **Exit Time**: Time the trade was exited.
- **MTM (Mark-to-Market)**: Realised profit or loss for each trade.
- **Trade Actions**: Details if the trade was a buy (B) or sell (S).
- **Underlying**: The price of the underlying asset at the time of the trade.
- **Tgr Price (Trigger Price)**: The trigger price for the trade.
- **Report Time**: The time that the broker reports to us about the trade being executed on their end.
These details provide a comprehensive view of the trades, including the specifics of each trade such as entry and exit points, target prices, stop losses, and mark-to-market profit or loss. The information about the underlying asset's price at the time of entry and exit, as well as the report times, offers additional context for the trade execution.
### Download feature
You can also download all of the data from AlgoTest for analysis.
---
// File: Time-Based-Algo-Trading/algo-trade/replay-trades
## Replay Trades on Live Algo
We're thrilled to introduce our new feature - Replay Trades, a powerful new feature on Algotest's Strategy Builder and on Live Trade/Algo Trade page. With Replay Trades, you can revisit and replay your trading strategies, starting from your very first trade. This feature enables you to thoroughly analyse and refine your strategies for better insights and performance.
## How to use Replay Trades From Live Trade/Algo Trade page
Replay Trades from the Live Trade/Algo page allows you to revisit and simulate trades executed through live trading on AlgoTest.
This feature helps you analyse real-time trade performance, review entry and exit points, and understand the impact of market conditions. By replaying these trades, you gain insights to refine your trading strategy, optimise your algorithms.
Follow this step-by-step guide to learn how to use Replay Trades feature From Live Trade/ Algo Trade page.
### Step 1
- Login to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) and click on 'Algo Trade' as shown in the image below.
### Step 2
Click on the " View Trades " button of the strategy of which you want to replay your trades.
### Step 3
- It will open your live trades page of strategy from where you can access features to replay your live or closed trades.
- Click on the Replay Button on the top bar where you can also find other features like Screenshot, MTM Graph etc. This will import your trades to the Simulator where you can replay and simulate your trades from the first trade
---
// File: Time-Based-Algo-Trading/algo-trade/btst-positional
import Iframe from "../../../src/components/Iframe";
## Introducing POSITIONAL/BTST ALGO on AlgoTest
### BTST Trading on AlgoTest
### Positional Trading on AlgoTest
We're excited to introduce our most requested feature --- **POSITIONAL** and **BTST** Trading Strategies on Algo!
Now along with backtesting you can trade and forward test your BTST and Positional Algo Strategies on AlgoTest.
Whether you want to buy today and sell tomorrow or hold onto your trades for several days or weeks, this feature makes it easy. The convenience of Algo Trading for your Positional and BTST strategies is a winning combination!
## What is BTST and Positional Trading?
Before diving into the specifics of this feature, let's explain the basics:
- **BTST (Buy Today, Sell Tomorrow)**: This is a trading strategy where you buy a contract today and sell it the next day before the market closes.
- **Positional Trading**: This is a longer-term approach where you hold a position for several days or weeks. You enter a trade based on your strategy logic and wait until your exit condition is satisfied.
Our new feature lets you automate these types of trades. Instead of manually watching the market and placing orders, the system will automatically place buy and sell orders based on your strategy. This saves you time and ensures that trades happen exactly when they need to.
## **Access BTST/POSITIONAL on AlgoTest**
### Step 1 - Login to AlgoTest
- Login to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) and go to the Algo Trade button as shown in the image below.
### Step 2 - Visit the BTST Algo Trade
- Click on the **Positional/BTST Algo Trade** button to access Positional/BTST Algo Trade page as shown in the image below.
### Step 3 - Access your BTST/Positional Algos
Your BTST/Positional algos will be displayed here. You can also search for a specific algo strategy from the search bar as shown in the image below :
### Step 4 - Setup Execution Settings
- Click on Edit Execution/Setup Execution Settings as shown in the image below.
- It will show you a list of features available to customise your order execution. Click on Setup Execution Settings to save them.
For more detailed instructions please refer to : [Execution Settings Documentation](https://docs.algotest.in/execution-settings/#how-to-do-execution-settings-in-algotest)
### Step 5 - Select Strategy
Click on the strategy you wish to activate:
- You can click on the activate button on the strategy you want to activate as shown in the image below :
### Step 6 - Setup Entry Time & Exit Time
Setup Entry Time and Exit time: By default, the entry and exit date and time will be automatically set based on your strategy logic. However, you have the option to modify these settings here if needed. You can set the entry time and exit time as shown in the image below. You can fine-tune your entry and exit within the following limits:
**Entry Time:**
- Earliest time: 09:15:15 AM
- Latest time: 03:29:00 PM
**Exit Time:**
- Earliest time: 09:15:05 AM
- Latest time: 03:29:30 PM
### Step 7 - Activate Strategy
Click on the Activate button once you have setup the entry time and exit time, as shown below :
This will activate the strategy and strategy will start as per the entry time you have set.
### **Important - Restart your strategy DAILY**
:::info
Restart the previous day's activated BTST or Positional strategies. This means that if you had activated a strategy the previous day, it will not automatically continue the next day.
:::
:::warning
You must manually restart the strategy to ensure it runs.
:::
To restart your previous day's activated BTST or positional strategies go to [BTST/Positional Algo Trading Page](https://algotest.in/live)
- Click on the restart button on the strategy as shown in the image below :
***
## Scheduled Strategy Execution
You can now **schedule** and **automatically restart** your strategies, whether they are **Intraday**, **BTST**, or **Positional**, across **Live Execution** and **Forward Tests**.
This includes a dedicated **Auto-Restart toggle** for **BTST/Positional strategies**, giving you full control without needing to manually resume them each morning.
### How It Works
### 1. **Auto-Restart for Forward Test (All Strategy Types)**
At **8:45 AM** daily, AlgoTest automatically checks and restarts **paused strategies** in Forward Test if:
- The **Auto-Restart toggle is ON**.
- The **start date of the strategy equals today's date**.
Strategies scheduled for a **future date** will remain in paused state until their start date is reached.
### 2. **Auto-Restart for AlgoTrade – BTST & Positional Strategies**
- **Every day after 8:00 AM**, when you **log in to your broker account**, AlgoTest will:
- Automatically restart **BTST/Positional strategies or portfolios** that are:
- In **paused state**, and
- Assigned to that broker connection.
- If you have strategies assigned to **multiple brokers**, you must **log in to each broker** manually to enable the auto-restart for those connections.
- Strategies will only restart if:
- The **start date matches today**.
- Auto-restart toggle is turned **ON**.
### Enabling Auto-Restart
To activate this feature for BTST/Positional strategies:
- Go to the **Forward Test** or **Algo Trade** page.
- Enable the **“Auto-Restart” toggle**.
- This toggle remains **ON persistently** until you turn it OFF manually.
***
### Auto-Restart Will **NOT Work** If:
1. **Execution Plan Limit Exceeded**
- Example: If you have **10 paused strategies** but your plan allows only **9 executions**, **none** of the 10 will restart automatically.
- To avoid this, **upgrade your plan** or **purchase credits**.
2. **Expired Underlying Contracts**
- If the **instrument or position is expired**, the strategy will **not restart**.
### Notifications
In either of the above cases, you’ll be notified via:
- **Email** (to your verified address)
***
#### Strategy Dashboard Enhancements
Your dashboard will now display:
- **Live or Error Mode Strategies**
- Currently running
- Paused but scheduled for restart today
- **Strategies Closed or Switched to Manual Today**
- **Scheduled Strategies (Future Entry Date)**
- Can be managed with:
- **Cancel Deployment**
- **Switch to Manual**
- **Restart Now**
- **Stop Auto-Restart**
***
### Paid Add-On: Schedule More with Credits
Want to schedule for a full week or manage high-volume BTST/Positional deployment?
We offer tiered upgrades:
| Credits | Active Live + Forward Test Limit |
| -------- | ---------------------------------------------------- |
| **500** | Up to **100 Live** + **100 Forward Test** strategies |
| **1500** | Up to **500 Live** + **500 Forward Test** strategies |
***
### Pause Functionality
- All active strategies in **Live** or **Error** mode can be paused.
- Pausing cancels **standing orders** known to the system and **halts execution**.
For any issues or upgrades, reach out to us at: [support@algotest.in](mailto\:support@algotest.in) or check the **Help** section on the platform.
***
## **Key Rules and Timings for Trade Execution**
### 1. When does the system start monitoring trades?
- **09:15:05 AM** - The system starts monitoring your strategy at 09:15:05 AM every day IF restarted before the market. That means if there is a gap up or gap down and your defined SL gets hit, then the Exit order shall be taken at 9:15:05.
- **Restart After Market open:**
Let's assume you restart your strategy at 09:45:05 AM then the algo will begin monitoring at the same time.
**All your SL and target conditions will be checked after you have restarted your strategy.**
If you don't restart the strategy, then the algo will not monitor anything. It will start monitoring only once you restart the strategy.
- **Restart after Expiry Date:** If you don't restart a BTST/Algo strategy and try to restart the strategy post expiry of its contracts, then instead of restarting, the strategy will return an error state.
Restart after strategy EXIT TIME: If the exit time in the strategy is 9:20 am and you restart the algo at 9:30 am then the strategy will not exit at its intended strategy EXIT TIME but rather at the time you restart the strategy or at 9:30 am
### 2. What happens if a few of the contracts expire before the strategy exit?
- Only the expiring contract is closed automatically, while the rest of your open positions (with later expiries) remain open.
For instance :
- If you are trading an open contract that expires today, the system will automatically exit the position at 3:29:30 PM.
- The other remaining legs (other open contracts that will expire later i.e. next weekly or monthly expiry legs), will still be active and will continue to be managed by the algo.
For example, if your strategy includes two legs a weekly expiry on 17th October and another with a next weekly expiry on 24th October. So algo will automatically exit the 17th October leg at 17 Oct at 3:29:30 PM. The other remaining legs, will still be active and will continue to be managed by the algo.
### 3. Till what time does the system take new orders or re-entry orders?
- No new orders or re-entries will be placed after 3:29:55 PM. For example, if a leg's stoploss is hit at 3:29:56 PM and a re-entry is triggered, the algo will not place the re-entry order since it's past the 3:29:55 PM cutoff time.
> **When does this not apply?**
- If the system has already selected a trade leg (an instruction to buy/sell based on your strategy) before 3:29:55, it will try to place the order until 3:29:59 PM.
- After this time, no further orders will be placed for the day.
### 4. Does the system roll over expired contracts?
- Algo doesn't perform a rollover when the strategy is first activated. However, rollover will happen only if a re-entry (Overall SL, Target, etc.) condition is fulfilled.
- The algo will always check the current, next, or monthly expiry at the time of re-entry to manage positions accordingly.
### 5. Carrying Over Momentum from the Previous Day
- If your strategy uses momentum conditions, the momentum conditions from the previous day will be carried over to the next trading day.
- For example, Let's assume you created a momentum based strategy with the following conditions :
***
Index : Nifty\
Entry : 09:20\
Strike : ATM CE\
Positon : Buy\
Momentum Points Up : 15
- Let's assume that :
**9:20 Nifty ATM PE Strike** = 24500
**ATM Strike Premium** = 200
**Entry Price** = 200 + 15 (Momentum Up) = 215
- According to our momentum condition the strategy will take entry in the 24500CE strike only if the 24500 CE strike moves to 215.
- If this price isn't hit then it will not take any entry on that day and the momentum conditions will be carried over to the next trading day.
- Similarly for Range Breakout strategies, If strategy's range-breakout conditions are not met on current trading day then it will not take any entry on that day and the Range breakout conditions will be carried over to the next trading day.
- For example let's assume you want to enter only if the high/low made between timing 09:20 to 14:30 breaks. Say your strategy will enter if the low of a specific time range (defined by you) breaks.
- It will not take any entry if the given range doesn't break today, then it will not take any entry on that day and the Range breakout conditions will be carried over to the next trading day.
### 6. Customising Your Strategy's Timings
When you start or activate a strategy, you can change the time when the trades will start, but not the date. However, you can change the exit date as per your convenience. You can also fine-tune your entry time and exit time within the following limits:
**Entry Time:**
- Earliest time: 09:15:15 AM
- Latest time: 03:29:00 PM
**Exit Time:**
- Earliest time: 09:15:05 AM
- Latest time: 03:29:30 PM
These timings give you flexibility to choose when your strategy should start and stop placing trades within the trading day.
### 7. What Happens if the Market Closes Before All Trades are Executed?
- If you've placed a trade (either to enter or exit a position) but the market closes before it's executed, the system will automatically handle it on the next trading day.
- The trade will be completed once the market opens again and the strategy is restarted. Example: Say your stoploss was triggered at 3:29:58 and the system fired a market order to exit it which was not completed before market close. In this case, algo will retry placing the order the next trading day once you "Restarts" your strategy.
### 8. Do I need to restart the previous day's activated BTST or positional strategy?
- YES, you need to restart the previous day's activated BTST or positional strategy during the entire duration of that strategy. This means that if you had activated a strategy the previous day, it will not automatically continue the next day.
- You must manually restart the strategy to ensure it runs.
:::info
To restart your previous day's activated BTST or positional strategies go to [BTST/Positional Algo Trading page](https://algotest.in/live).
:::
- Click on the restart button on the strategy as shown in the image below
### 9. Select the NRML order type in Execution Settings
- It's essential to select the NRML (Normal) order type. NRML orders allow you to carry forward positions overnight, unlike MIS (Margin Intraday Square-off) orders, which are specifically for intraday trading and get auto-squared off before market close.
### 10. Activate Timings / Entry exit timings possible scenarios
- Let's assume that the expiry for this month is on 30th October.
- In your positional strategy, you've set :
**Entry Conditions** - 3 days before the expiry.
**Exit Conditions** - 1 day before the expiry.
**Case 1**
Activate strategy BEFORE Entry Date:
Activation Date = 23/10/2024 or 5 DTE
Strategy Entry Date = 27/10/2024 or 3 DTE
If you activate the strategy on 5 DTE or 23/10/2024, you will get a notification on your activation settings with the following alert:
:::warning
According to your Strategy logic your entry was supposed to happen 5 days from today. But we will take the entry today anyway.
:::
Your entry date will change to the CURRENT DATE.
:::note
Positional strategy calculations are based on trading days, which means only the days when the market is open (usually Monday to Friday). Weekends and holidays are excluded. So, if you set your entry for 5 days before expiry, the system will count 5 trading days, skipping any non-trading days like Saturdays, Sundays, or holidays. This ensures accurate timing for your strategy.
:::
**Case 2:**
Activate strategy AFTER Entry Date:
Activation Date = 28/10/2024 or 2 DTE
Strategy Entry Date = 27/10/2024 or 3 DTE
If you activate your strategy on 2 DTE or 28/10/2024 instead of 3 DTE or the strategy Entry Date you will get the following notification 
:::warning
According to your Strategy logic your entry was supposed to happen 1 day before today. But we will take the entry today anyway.
:::
Your Entry date will change to the CURRENT Date (2 DTE):
**Case 3:**
Activate strategy AFTER Exit Date:
Activation Date = 31/10/2024 or 0 DTE
Strategy Exit Date = 30/10/2024 or 1 DTE
If you try to activate your strategy post the expiry date, your strategy will not be activated as the exit date has passed.
You will receive an error message.
You need to change the exit date in the strategy before activating it.
In our example above, if you activate your strategy on 31/10/2024, you will have to change the Exit date to 31/10/2024 (or the expiry date). Further, it should be noted that your Exit time should be AFTER the Entry Time in this case.
### 11. Leg selection for BTST(Buy Today Sell Tomorrow) Strategies
**For non-expiry days**: If you are running a BTST strategy on non-expiry days, you need to select the weekly expiry in the Expiry dropdown
- Example: Let's say today is Tuesday, October 22nd. Since this is a non-expiry day (expiry usually falls on Thursdays), and you are running a BTST (Buy Today, Sell Tomorrow) strategy, you would need to select the nearest weekly expiry date in the "Expiry" dropdown, which would be Thursday, October 24th.
**For expiry days**: If you are running a BTST strategy on expiry day, you need to select the Next weekly expiry in the Expiry dropdown as the current week expiry will expire today and you need to select the next weekly expiry so it will be carry forwarded for BTST.
- Example: Let's say today is Thursday, October 24th, which is an expiry day. You are running a BTST (Buy Today, Sell Tomorrow) strategy, but since the current week expiry will expire today, you need to select the next weekly expiry in the "Expiry" dropdown. This would be Thursday, October 31st.
---
// File: Time-Based-Algo-Trading/algo-trade/new-regime-template
# New AlgoTest Template for Algo Trading
The times, they are a-changing! SEBI's new regulations are here and AlgoTest is changing to accomodate those changes.
***
In order to make trading in the new regime simple, here's the **new workflow and layout.**
:::note
We have divided the indices into two sections :
1. **Weekly Expiry Indices** - Nifty, Sensex.
2. **Monthly Expiry Indices** - Banknifty, Finnifty, Midcpnifty, & Bankex.
:::
## Weekly Expiry Indices
There are two indices in it: **NIFTY** and **SENSEX**, *which will continue to have weekly expiries*.
***
**Everything is the same as before for these two indices.**
> NIFTY, SENSEX - Select options with weekly, next weekly, and monthly expiries.
We have added a new toggle in the results section called **Include Data from Previous Regime**.
***
You can toggle previous data ON or OFF.
***
For **NIFTY** and **SENSEX**, this means data prior to 20th November, 2024.
## Monthly Expiry Indices
There are four indices:
- **Banknifty**
- **Midcapnifty**
- **Bankex**
- **Finnifty**
:::info
For these indices, only monthly expiry is available moving forward.
***
From **20th November, 2024** onwards, you can ONLY select ***monthly expiries*** on these indices.
:::
**Does That Mean All My Previous Weekly Data Goes Away?** No, your strategies can still work with some minor changes.
***
We have a toggle called - **Include weekly expiries from previous regime**.
***
This toggle is right above the Backtest button.
### Toggle : **Include Weekly Expiries from Previous Regime**
The toggle is only applicable for the Monthly Expiry Indices - Banknifty, Midcap, Finnifty, and Bankex.
If the Toggle is ON then the backtest will include
- Weekly Expiries from the Past Regime AND
- Monthly Expiries from New Regime
If the Toggle is OFF then the backtest will include
- Monthly Expiries from the Past Regime AND
- Monthly Expiries from the New Regime
:::info
You will find the Toggle on the bottom right.
:::
In the tooltip you will find what the Toggle does.
***
:::tip
Make sure to backtest your strategies with both Toggle On and Off to understand its functionality.
:::
***
## Migration of Strategies & Portfolios
Here you will find out how we will migrate your previously built strategies on AlgoTest.
### Strategy Migration
#### Weekly Expiry Indices (NIFTY & SENSEX)
There will be no change to your strategies for weekly expiry indices.
#### Monthly Expiry Indices (Finnifty, Banknifty, Bankex, and Midcapnifty)
For Monthly Expiry Indices there are multiple possible scenarios. Each scenario will be discussed here.
1. **Intraday Strategies with Weekly Expiry**:
- All legs in the strategy should've been weekly expiry.
- All legs with weekly expiries will be automatically changed to monthly expiries.
- **YOU DO NOT NEED TO MAKE ANY CHANGES.**
- By **default**, your expiry week trading toggle will be **turned ON**. Refer to the [:toggle
section](https://docs.algotest.in/algo-trade/new-regime-template/#toggle--include-weekly-expiries-from-previous-regime) for more details.
2. **Intraday Strategies with Next Weekly Expiry**:
- All legs need to be next weekly.
- All legs with next weekly expiries will be automatically changed to monthly expiries.
- **YOU DO NOT NEED TO MAKE ANY CHANGES.**
- By **default**, your expiry week trading toggle will be **turned ON**. Refer to the [:toggle
section](https://docs.algotest.in/live-trade/new-regime-template/#toggle--include-weekly-expiries-from-previous-regime) for more details.
3. **Intraday Strategies with Monthly Expiries**:
- All legs need to be monthly.
- There will be no change.
- **YOU DO NOT NEED TO MAKE ANY CHANGES.**
- By **default**, your expiry week trading toggle will be **turned OFF**. Refer to the [:toggle
section](https://docs.algotest.in/live-trade/new-regime-template/#toggle--include-weekly-expiries-from-previous-regime) for more details.
4. **Intraday Calendar Strategies**
***
A calendar means multiple legs in a strategy with different expiries.
***
> *For Example*, let's assume there are two legs in your strategy :
>
> - **Leg 1**: Banknifty Weekly Expiry
> - **Leg 2**: Banknifty Next Weekly Expiry
Such a strategy will be considered a **Calendar Spread**.
:::note
All such strategies will be **Archived**.
:::
## Archived Strategies
### Where can I find my Archived Strategies?
Your Archived strategies are in the left most section of the dashboard.
***
It is a folder grouped your other folders.
#### How can I unarchive my strategies?
Navigate to your strategy. You will see the above message at the top of the strategy page.
***
You can choose to change the instrument to either NIFTY or SENSEX.
Once you do so, your strategy will be unarchived.
***
## BTST/Positional Weekly
### BTST Weekly
- All expiries will change from Weekly and Next Weekly to Monthly.
- If it is weekly or next weekly, then the toggle will be ON.
- Monthly BTST will have the toggle OFF.
- Refer to the toggle section for more information.
### Positional Weekly
- If your positional strategy was weekly-based and all legs had a weekly expiry:
- All legs will change to Monthly.
- The toggle will be ON.
***
## BTST/Positional Monthly
### BTST Monthly
- If it was BTST monthly, it will remain unchanged.
- The toggle is OFF for monthly contracts.
### Positional Monthly
- If it was positional monthly, it will remain unchanged.
- The toggle is OFF for monthly contracts.
***
## Portfolio Migration
There will be Three Types of Portfolios going forward. This depends on the strategies contained inside the portfolio.
**Three Portfolio Types:**
***
1. Contains only Weekly Expiry Indices.
2. Contains only Monthly Expiry Indices.
3. Contains both Weekly and Monthly Expiry Indices.
### For Weekly Expiry Indices
- **Nifty and Sensex**: Everything stays the same.
### For Monthly Expiry Indices - Banknifty, Finnifty, Midcapnifty, & Bankex
- The toggle will be ON.
- All your strategies will be adjusted as described in the Strategy Migration Section.
:::note
**No action is needed from your end.**
:::
1. **Calendar Strategies**
- If there are calendar strategies in the portfolio, they will be archived.
- After modifying them in the archived folder, you can add them back to the portfolio.
- The strategy will not be automatically re-added to the portfolio.
1. **For Mixed Portfolios** (Both Weekly Expiry and Monthly Expiry Indices)
- The toggle will be ON by default.
- **Explanation**:
- If you have a mixed strategy portfolio, the toggle ON means the system uses new data rules.
- If you switch the toggle OFF:
- **Nifty, Sensex**: Weekly data.
- **Monthly Expiry Indices**: Monthly contracts for all days.
### Use Cases for Portfolios in the New Migration
**Use Cases**:
- **Scenario**: If you trade Nifty weekly and also Banknifty in the last week, replicate it using current data.
- Use **DTE Feature** on AlgoTest (DTE Toggle ON, Bottom Right Toggle OFF).
- **Banknifty DTE**: 0, 1, 2, 3, 4, 5, 6 only.
- **NIFTY DTE**: Select ALL.
***
## Intraday Algo Trading
### Strategy Activation
#### Weekly Expiry Indices - Nifty & Sensex
- No changes; remains the same.
#### Monthly Expiry Indices
- Only one contract is available now.
- Once activated, they will use the monthly contract.
**Example**: Activating a Banknifty strategy on 1st December, 2024 will use the monthly contract expiring on 24th December, 2024.
***
## Portfolio Activation
### Weekly Expiry Indices
- Nifty and Sensex strategies will run on the selected indices.
### Monthly Expiry Indices
- Strategies will run on monthly expiry contracts.
:::warning
Make sure you activate your strategy based on Backtest DTE filtering.
:::
---
// File: Time-Based-Algo-Trading/algo-trade/index
import Iframe from "../../../src/components/Iframe";
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
# Deploy Strategy in the Live Market
## Requirements
:::info
### AlgoTest Account
You need to have an AlgoTest account to Algo Trade (live execution). If you don’t have an AlgoTest account, you can create one by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### A Strategy
You need a strategy on AlgoTest that you want to deploy live on AlgoTest. To know how to create a strategy in AlgoTest, [Click Here](https://algotest.in/feature/backtest?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=backtest)
### Live Execution Plan
To deploy your strategy live on AlgoTest you need to buy a Live Execution Plan. To know about pricing and how to purchase a live execution plan [Click Here](https://algotest.in/billing?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product\&utm_term=billing).
:::
## Login to AlgoTest
:::info
First, you need to log in to your account in AlgoTest. To log in to your account follow some simple steps
:::
- Go to the [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) website and click on the login button in the top right corner. If you don’t have an account click on signup and create an account.
- Enter your Registered Mobile Number and Password and click on the ‘Login’ button to log in to your account.
***
## Login to your Broker
:::info
After logging in to your AlgoTest account, you need to log in to your broker in AlgoTest. To log in to your broker follow some simple steps as shown below.
:::
- To log into broker, click on the broker setup tab on the right.
Then select your broker and click setup to activate.
- Now we must follow some simple steps to set up and log in with our broker with AlgoTest. To know the process, [Click Here](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
- After successfully following all the steps, it will show you the logged-in status as shown in the image below. It is important to note that you have to log in to your broker daily.
## Activate Strategy For Live Deployment
To activate your strategy for Live Deployment, follow the simple steps as shown below.
### Click on the ‘Live trade’ button as shown in the image below.
### Click on the strategy you wish to activate
:::info
Now it will show you your strategies under ‘Strategies’ as shown in the image below. **It is important to note that your BTST, Positional & VWAP strategies will not show here.**
:::
### Setup Execution Settings
:::info
To activate any strategy, first, we need to do an execution setting of that strategy. It is a one-time process. Assume we want to activate our strategy name “AlgoTest Live Trade Test”. So we will click on the “Setup Execution” button on the right side of this strategy name as shown in the image below.
:::
- It will open a new window as shown in the image below. (UPDATE IMAGE)
**Product Type: MIS/NRML**
- Depending on the exit timing of your strategy you can select MIS vs NRML. If your strategy exit timing is beyond broker's mis square off time, select NRML otherwise you can select MIS.
***
**Order Type: Market/Limit**
- A market order is an order where you allow the broker to execute your order at any price available at that time.
- A limit order is an order where you define a certain limit to your order and allow the broker to execute your order at a specified limit price only. It is placed in your broker terminal.
- After selecting Product Type and Order Type, click on “Save” to save the settings.
### Activate your strategy
:::info
Now, click on the “Activate” button on the right side of the strategy name to activate the strategy as shown in the image below. It is important to note that you have to activate your strategy daily and you can activate your strategy between time 08:00 AM to 03:28 PM. You have to activate your strategy at least 2 minutes before your entry time.
:::
- After you click on activate, it will show you ‘Running’ on top of the live trade page under Deployed Strategies as shown in the image below. It means our strategy has been deployed for live trading and it is waiting to take entry.
### Strategy Deployed
:::info
After your entry criteria are met, your strategy will take position. You can see your running MTM on this page as shown in the image below.
You can disconnect the strategy from algo and can take control of your strategy on your hand on the broker terminal by clicking on the ‘Switch to Manual’ button. You can square off the position in strategy at any time by clicking on the ‘Squareoff’ button. You can also see trade details by clicking on the ‘Trades’ button.
:::
---
// File: Time-Based-Algo-Trading/algo-trade/multibroker
# Multi-Broker Strategy Execution
## Feature Overview
With AlgoTest's latest update, traders can now **activate and execute the same strategy across multiple brokers** directly from a single interface. This is particularly useful for traders who:
- Operate accounts across multiple brokers
- Want to diversify executions across brokers
- Prefer setting different position sizes per broker
***
## How to Use Multi-Broker Execution
### Step 1: Navigate to the AlgoTrade Page
1. Log in to your AlgoTest account.
2. On the top navigation bar, hover over **"Algo Trade"**.
1. Select **"Algo Trade"** from the dropdown.
> This opens the **Algo Execution Page**, divided into two sections:
>
> - **My Strategies**
> - **Algo Trade**
***
### Step 2: Search and Activate Strategy with Multiple Brokers
1. Head to Strategies section
2. Use the search bar in **My Strategies** to find the strategy you want to activate.
1. After selecting strategy, click the **"Activate"** button.
1. A **broker selection popup** will appear.
#### What You’ll See:
- All broker accounts connected and logged in/off via your AlgoTest account
- A field to set **quantity multipliers** per broker
#### What You Can Do:
- Select **one or more brokers** to deploy the strategy simultaneously
- Set **different lot sizes** for each broker using the quantity multiplier field
**Example:**
| Broker | Quantity Multiplier |
| ---------- | ------------------- |
| 5paisa | 1 |
| flat trade | 1 |
1. Click **"Done"**
2. Confirm activation by clicking **"Activate on Brokers"** (e.g., “Activate on 2 Brokers”)
Your strategy is now live across all selected brokers with respective quantity settings.
***
## Multi-Broker Activation for Portfolios
You can also activate an **entire portfolio** of strategies across multiple brokers in a similar way:
1. Select a **portfolio** under the **My Strategies** section.
1. Click **"Activate"**.
1. You'll find the below screen showing an option to select brokers.
1. In the broker selection popup:
- Choose multiple brokers
- Assign different quantity multipliers per broker
Just like individual strategies, your **entire portfolio** can now be executed simultaneously across brokers with full control.
***
## Monitoring Your Strategies
### From the "Algo Trade" Page
Once activated:
- All active strategies, portfolios, and RA algos appear here
- View **individual MTM (Mark-to-Market)** for each strategy
***
---
// File: Time-Based-Algo-Trading/algo-trade/freeze-quantity
# Order Slicing
## What is Order Slicing?
Order Slicing is the process of **automatically splitting a trade order into smaller chunks** when its size exceeds the **exchange’s freeze quantity or lot limit**.
This ensures:
- Orders don’t get rejected by the exchange
- Large strategies execute seamlessly by creating multiple smaller executions under the allowed limit
## How Freeze Quantity Works
Each instrument listed on NSE or BSE has a **freeze limit**, defined either by quantity or by number of lots (for futures and options).
| Instrument | Lot Size | Freeze Quantity | Freeze Lot Limit\* |
| ---------- | -------- | --------------- | ------------------ |
| NIFTY | 75 | 1800 | 24 |
| BANKNIFTY | 25 | 900 | 36 |
### Key Terms
| Term | Meaning |
| ------------------------------- | -------------------------------------------------------------------------------------------------------- |
| **Freeze Quantity / Lot Limit** | Maximum tradable quantity or number of lots allowed per single order for an instrument (defined by NSE). |
| **Lot Size** | Number of shares per lot (e.g., NIFTY = 75 shares per lot). |
| **Leg** | A single position in your strategy (Buy/Sell of an instrument). |
| **Execution Multiplier** | Multiplies your strategy quantity during execution. |
| **Broker Multiplier** | Executes the same strategy across multiple broker accounts. |
- **Freeze Lot Limit: This is not an official term. We introduced it to explain the concept clearly.**
This means:
- In **Options/Futures**, you can place one order with up to the freeze-lot limit (e.g., 24 lots for NIFTY).
If your strategy exceeds this limit after broker & quantity multiplier, **strategy will get activated in multiple instances.**.
## How Order Slicing Works in AlgoTest
When a strategy is activated:
1. AlgoTest checks each leg’s total quantity or lots after applying:
- **Execution Multiplier**
- **Broker Multiplier**
2. If any leg, **after applying both the execution and broker multipliers**, exceeds the NSE’s or BSE's freeze limit:
- Instead of rejecting the strategy, AlgoTest **creates multiple executions**, each capped at the maximum allowed limit.
- Each execution runs independently, ensuring every order stays compliant with exchange limits.
:::info
- If a strategy is split into **N executions**, it will consume **N Algo Executions** (credits).
- Example: 3 executions = **300 credits** (3 × 100 credits).
- When the final quantity (after applying multipliers) exceeds the exchange freeze limit, the order is split into multiple executions.
- **Stop loss is applied on the traded price of each execution**, since each can get a different market price.
#### Example
A strategy results in **50 lots** after multipliers and gets split into 3 executions:
| Execution | Lots Traded | Traded Price |
| --------- | ----------- | ------------ |
| E1 | 24 lots | ₹99.00 |
| E2 | 13 lots | ₹99.50 |
| E3 | 13 lots | ₹100.00 |
- **Credits used:** 3 executions = **300 credits**
- **Stop loss:** applied *per execution* based on its own traded price.
:::
### Example: Options/Futures
Let’s take **NIFTY Options (freeze limit = 24 lots)**.
| Leg | Base Lots | Execution Multiplier | Broker Multiplier | Final Lots (Base × Exec × Broker) |
| --- | --------- | -------------------- | ----------------- | --------------------------------- |
| L1 | 2 | 3 | 3 | 18 |
| L2 | 3 | 2 | 4 | 24 |
| L3 | 4 | 2 | 4 | 32 |
Here’s what happens:
- **Leg 1 (18)** → Within limit
- **Leg 2 (24)** → At limit
- **Leg 3 (32)** → Exceeds limit
Instead of blocking activation, slicing splits it into **multiple executions**:
This ensures every execution stays below the freeze quantity.
For example, this strategy shown below has been sliced in two executions:
### When Execution Fails
Order Slicing applies only when the system can split quantities.
:::info
If any leg’s **base quantity itself** exceeds the freeze quantity (for example, a NIFTY leg directly defined with 48 lots), the strategy **cannot be activated**.
:::
### Order Slicing in Portfolios
When you activate a **Portfolio**, AlgoTest checks the freeze limits for **each strategy inside the portfolio**.
- A leg’s original quantity should be within the exchange’s allowed limit.
- After applying the broker multiplier and execution multiplier, if the final quantity exceeds the exchange limit;
- In that case, strategy will get executed in multiple instances of the portfolio.
However, if **any strategy’s leg exceeds the freeze quantity at the base level itself** (before multipliers), the strategy **cannot be activated**.
### Error:
AlgoTest will show you an error message identifying **exactly which strategy** is exceeding the exchange limit.\
You can then either edit that strategy and correct the lot/quantity or de-select the strategy from the portfolio before reactivating the portfolio.
## Order Slicing in Forward Test
The same rule as algo trade is followed in Forward Test.
***
### Key Takeaways
- **One leg can only fire up to the freeze quantity.**\
Example: `NIFTY 25500 CE Sep 25, 2025` → Freeze Quantity = 1800, Lot Size = 75 → 24 lots.
- **Both execution and broker multipliers are considered together** when checking limits.
- **Slicing automatically duplicates executions** if a leg exceeds the freeze lot limit.
- **Slicing keeps your strategy compliant** with NSE’s restrictions and ensures uninterrupted execution.
Order Slicing ensures your orders **never get rejected** for being too large.
AlgoTest automatically breaks oversized trades into smaller, exchange-safe executions, so your strategies run smoothly without manual intervention.
---
// File: Time-Based-Algo-Trading/algo-trade/pro-view
# Pro View: Advanced Execution Dashboard for Prop Users
## Overview
The **Pro View** is an enhanced version of the standard execution interface designed specifically for **proprietary (prop) traders** who manage multiple broker accounts and strategies. It includes all features available in the original execution view and introduces **new, advanced functionalities** tailored for scale, efficiency, and real-time control.
You can access the Pro View by clicking the **“Switch to Pro View”** button on the standard execution screen.
*Refer to screenshot below for where to find the switch button.*
Standard View with “Switch to Pro View” button highlighted below:
- Step 2: Select the portfolio you want to update the settings
- Step 3: Setup your portfolio execution based on DTE or weekdays
- Step 4: Once done, move forward to enable auto activation in Algo Trade.
- Go to **Algo Trade** from the dashboard
- Select the portfolio from the given tabs:
- Here you can see the option to **Enable Auto Activation**
- Once you click on **Enable Auto Activation**, you'll find the option to select the broker and edit execution settings
- To trade a portfolio live, you must **check the box shown below the broker selection** while setting up.
- Once you are done with all the changes, you can click on the **Enable Auto Activation**
## Additional Notes on Auto Activation
- You **cannot make any changes** (like days or quantity multiplier) once Auto Activation is enabled.
- Only **execution settings** can be modified.
If we click on the highlighted section:
We get the screen where we can only **execution settings** can be modified shown below:
- If you want to change portfolio details such as days or multipliers, use **Edit Portfolios**.
Step 1: Click on edit portfolios:
Step 2: The below screen will be shown:
- To **disable Auto Activation**, you can directly do it from the **Algo Trade dashboard**.
- You need to **log in to your broker every morning** to ensure execution works correctly.
- If your portfolio is set to start at **9:40 AM** but you log in at **11:00 AM**, execution will not begin that day. To make sure execution starts, you have to login to your broker account(s) before 09:15 AM.
- If you are running the **same portfolio across multiple brokers**, you need to **log in to each broker account**.
- Execution will start broker-wise as soon as you log in.
- Let's say, you want to run the portfolio across 3 brokers but you have logged in to only 2 out of 3 brokers, execution will run for those 2 brokers. Once you log in to the 3rd broker, execution will start for that broker as well.
- Pricing: If the number of strategies allowed by your **pricing plan** is **less than** the total strategies in your portfolio **at deployment**, only up to your plan limit will start. The remaining strategies will **not be started**.
Example: Your pricing plan allows 5 strategies, but your portfolio has 7 strategies configured. When you try to execute, the system will only run 5 strategies.
- For Forward Test, the auto activation is not dependent on the broker login. It will trigger as you scheduled.
- You will receive an **Auto Activation summary** once the strategy is live, delivered to your registered contact address.
#### Handling DTE (Days to Expiry)
If you set a **DTE = 10** for an index with monthly expiry, the system will automatically align it to the **correct weekday**.
- This means your portfolio will run **on that weekday** for the given month.
**Example** Suppose you set **DTE = 10** for **BANKNIFTY monthly expiry**:
- The system calculates the 10th day before expiry → let’s say it falls on a **Wednesday**.
- Your portfolio will now run on **Wednesday** for that expiry month.
## Use Cases
| Scenario | Configuration |
| ------------------------------------------------------------------------------------- | ----------------------------------------------------- |
| You want your intraday Nifty and BankNifty portfolio to run every Monday and Thursday | Set Days: Monday, Thursday |
| You want your BTST strategies to start 1 day before expiry | Set DTE: 1 DTE |
| You want to skip positional strategies from auto-start | No action needed, handled automatically by the system |
#### Notes:
- This setting is managed **at the portfolio level**.
- You can apply auto execution rules to **multiple portfolios** independently.
- DTE-based activation is particularly useful for **weekly expiry-based strategies**.
---
// File: Time-Based-Algo-Trading/algo-trade/next-monthly-rollover
# Rollover Trade
## Overview
Rollover means closing your existing open position in the current expiry and simultaneously opening the same position in a later expiry. This is generally done when you want to carry forward your trade without squaring off your strategy.
In AlgoTest, rollover helps you maintain your strategy’s continuity while shifting it to the next expiry contract **without stopping the running strategy**.
Rollover feature is available for both **920** and **Signals**.
## Feature Summary
- **Roll Over** button is available on the **Running Strategy → View Trade** page.
- On click, it opens a popup modal that lists all eligible open legs for expiry rollover.
- For each leg, the system:
- Shows the **current expiry leg** on the left.
- Pre-fills the **recommended next expiry leg** on the right.
- Allows the user to modify expiry, strike, SL, TGT, TSL, etc.
**On confirmation:**
- New legs are added in the same strategy instance (strategy remains running).
- Current leg(s) are exited.
- Re-entry count and SL/TGT/TSL logic continuity are preserved.
## Example
Let’s understand this with an example.
We have created and activated a simple **920 straddle strategy** by selecting weekly expiry. Once the strategy is running, we just have to click on the **View Trade** button from the Algo Trade page to access the rollover option.
As shown in the image, we have two legs of NIFTY with **21st Aug expiry**.
If we want to close our position in the current expiry and open a new position in a later expiry, we just need to click on the **Rollover** button from the View Trade page.
After clicking on rollover:
- All open position legs appear with options to select expiry, strikes, SL, TGT, and re-entry.
- Since our positions are in the 21st Aug expiry, the system automatically selects the **next expiry (28th Aug)**.
- If we want to select the **next-to-next expiry**, it can be done using the dropdown.
***
## Important Points to Remember
1. A maximum of **10 legs** can be added to a strategy. Since every rollover counts as new legs, if you have 2 legs, you can only rollover **4 times** in the same running execution.
2. The rollover feature **cannot be used** in strategies containing **overall re-entry** and **square-off complete** options.
3. Exit conditions and re-entry conditions from the old leg **will not be copied** to the rollover leg. However, SL, TGT, and re-entry can be added manually from the rollover page.
4. In rollover, **new legs are added first and then old legs are closed**.
- If you are using **buying legs only for margin benefit**, rollover the buy legs first into the next expiry, then rollover the sell legs.
- Ensure you maintain **extra margin**, since margin benefit can vary across expiries.
## Conclusion
With this feature, AlgoTest users can seamlessly **roll over their positions to the next expiry** without disrupting the overall strategy flow.
---
// File: Time-Based-Algo-Trading/backtest-filters/dte-filter
# DTE Filter
Our convenient DTE filter allows you to tailor your approach based on the days remaining until expiry. This feature is designed to optimize and fine-tune your strategy according to the specific distance from the expiry day of the instrument.
## What is DTE?
DTE stands for "days to expiry." In simple terms, you can adjust your strategy based on the number of trading days remaining until the contract expires.
### Trading days to Expiry means:
It only includes trading days and doesn't include weekends and market holidays.
**For example:**
If Sensex expiry is on Tuesday then Monday will be DTE -1 and Friday will be DTE-2.
If you want to backtest a strategy only on the day of expiry, the distance from expiry is **0 days**. This is commonly referred to as **"0 DTE."** This approach will display the results specifically for the day of expiry for the particular contract.
Let’s take an example of Sensex weekly expiry and assume Tuesday (14th Jan 2025) is the expiry. How are the days selected based on the distance from the expiry in the backtest in the DTE Filter?
| **DTE** | **No. of Days from Expiry** | **Date** |
| :---------------: | :----------------------------------: | :------------: |
| Day to Expiry = 0 | Expiry day, i.e., Tuesday | 14th Jan, 2025 |
| Day to Expiry = 1 | 1 day before expiry, i.e., Monday | 13th Jan, 2025 |
| Day to Expiry = 2 | 2 days before expiry, i.e., Friday | 11th Jan, 2025 |
| Day to Expiry = 3 | 3 days before expiry i.e., Thursday | 10th Jan, 2025 |
| Day to Expiry = 4 | 4 days before expiry i.e., Wednesday | 09th Jan, 2025 |
---
// File: Time-Based-Algo-Trading/backtest-filters/budget-day-filter
## Budget Filter
Budget days are truly unique in how they impact the market compared to regular trading days. The market can experience significant movements in both upward and downward directions on budget days.
Have you ever considered developing a specialized strategy specifically for budget days to capitalize on the potential opportunities presented by this event? Perhaps you've also thought about testing your strategy on budget days to gauge its performance?
With [AlgoTest's](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) Budget Filter, you have the valuable capability to tailor your strategy results according to budget days. This feature empowers you to optimize your strategy to align with budget day dynamics or even design a brand-new strategy tailored exclusively for budget days. The budget day filter is also available in Portfolio.
## How to Use the Budget Day Filter
- To utilize this feature, start by creating and backtesting your strategy. Click the "Start Backtest" button to begin.
- To proceed, please scroll down and click on the "Budget Days" button, as shown in the image below.
- It will filter out your strategy results for budget days as depicted in the image below.
---
// File: Time-Based-Algo-Trading/backtest-filters/index
Backtest Filters at AlgoTest help traders refine strategy testing by selecting specific conditions, timeframes, and parameters before running a backtest. This ensures more accurate results and faster analysis by focusing only on relevant market scenarios.
DTE Filter
[Visit the DTE Filter guide](https://docs.algotest.in/Time-Based-Algo-Trading/backtest-filters/dte-filter/)
Budget Day Filter
[Visit the Budget Day Filter Guide](https://docs.algotest.in/Time-Based-Algo-Trading/backtest-filters/budget-day-filter/)
---
// File: Time-Based-Algo-Trading/forward-test/index
import Iframe from "../../../src/components/Iframe";
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
# How to Forward Test (Paper Trade)
## Requirements
:::info
The following things are required for Forward Testing (paper trading) on AlgoTest :
1. [**AlgoTest Account**](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest)
2. **A Strategy**
3. **Forward Test Execution Plan**
:::
[:Reach
out to us here](https://docs.algotest.in/getting-started/join-telegram/#AlgoTestTelegramChannels).
### AlgoTest Account
You need to have an AlgoTest account to do a forward test. If you don’t have an AlgoTest account, you can create one by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### A Strategy
You need a strategy on AlgoTest that you want to deploy for Forward Testing. To know how to create a strategy in AlgoTest, [Click Here](https://algotest.in/forward-test?utm_source=webflow\&utm_medium=internal\&utm_campaign=documentation\&utm_content=manual)
### Forward Test Execution Plan
To do a Forward Test on AlgoTest you need to buy a Forward Test Execution Plan. To know about pricing and purchase of the execution plan [Click Here](https://algotest.in/billing?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product\&utm_term=billing).
## Login to AlgoTest
First, you need to log in to your account in AlgoTest. To log in to your account follow some simple steps
- Go to the [AlgoTest](https://algotest.in/feature/backtest?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=backtest) website and click on the login button in the top right corner. If you don’t have an account click on signup and create an account.
- Enter your Registered Mobile Number and Password and click on the ‘Login’ button to log in to your account.
***
## Activate Strategy for Forward Testing
To activate your strategy for paper trading (forward test), follow some simple steps as shown below.
- Click on the ‘Forward Test’ button as shown in the image below.
Now you get the options for Auto Activation, Auto Restart Paused Execution, Switch to Pro view, and History.
- It will show your strategies under ‘Strategies’ as shown in the image below.
***
- Click on the Activate button to activate your strategy. Assume we want to activate a strategy named ‘AlgoTest Forward Test 2’. So we will click on the ‘Activate’ button on the right side of the strategy. It is important to note that you have to activate your strategy daily and you can activate your strategy between 08:00 AM and 03:28 PM. You have to activate your strategy at least 2 minutes before your entry time.
- After you click on activate, it will show ‘Running’ on top of the page under Deployed Strategies as shown in the image below.
- After your entry criteria are met, your strategy will take position. You can see your running MTM on this page as shown in the image below. You can stop the strategy by clicking on the ‘Switch to Manual’ button. You can square off the position in strategy at any time by clicking on the ‘Squareoff’ button. You can also see trade details by clicking on the ‘Trades’ button.
- **Pricing**
- You get 3 Algo Activations (Algo Trade + Forward Test) for ₹499 for 28 days and 6 Algo Activations (Algo Trade + Forward Test) for ₹ 999 for 28 days.
---
// File: Time-Based-Algo-Trading/how-to-backtest/backtest_intraday
# How to Backtest Intraday Strategy
Indices are divided according to two expiry dates:
If you trade in indices with weekly and monthly expiry, these two indices are available.
If you trade in indices with monthly expiry, these four indices are available.
## Indices with Weekly and Monthly Expiry
If you trade in indices with weekly and monthly expiry, these two indices are available.
When you trade in monthly expiry, you also get the option to get weekly expiries from the previous regime by turning on the toggle for the same.
## Indices with Monthly Expiry
## Weekly Expiries from Previous Regime
When you trade in monthly expiry, you also get the option to get weekly expiries from the previous regime by turning on the toggle.
- **Toggle ON**: Previous Regime Weekly Data & New Regime Monthly Data
- **Toggle OFF**: Previous Regime Monthly Data & New Regime Monthly Data
***
## Stock Options Tab
If you want to trade stock options, you have a separate tab.
***
## Market Selection
Once you have selected the index, you can choose the market you want to trade in: **Cash** or **Future**.\
Example: Trading in Nifty in the Cash Market.
***
## Intraday Strategy
### Intraday Settings
You will see the following options on the screen:
- **Entry Time**: The time at which we want to enter our strategy.
- **Exit Time**: The time at which we want to exit positions.
- **Restrict Re-entry Time**: Optional setting.
***
## Legwise and Leg Builder Settings
### Legwise Settings
Choose to square off positions partially or completely.
### Leg Builder Settings
To fine-tune your strategy, configure the following:
- **Segment**: Future or Options
- **Lot**: Number of Lots
- **Position**: Buy or Sell
- **Option Type**: Call or Put
- **Expiry**
- **Select Strike Criteria**
- **Strike Type**
***
## Adding and Customizing Legs
### Adding a Leg
To add a leg, click on **Add Leg**.
### Customizing Strategy Settings
You can add the following settings to customize your strategy:
- **Target Profit**
- **Stop Loss**: By clicking on the icon, select an option from the dropdown.
- **Trail SL**
- **Re-entry on Target**
- **Re-entry on SL**
- **Simple Momentum**
- **Range Breakout**
***
## Overall Strategy Settings
These settings are applied to all of your strategies.\
Once configured, save your strategy.
***
## Saving and Backtesting
Click the **Save** button at the bottom right and give your strategy a name.\
To backtest the strategy:
1. Select the time range for backtesting.
2. Click **Backtest**.\
This will generate the backtest results and strategy statistics.
***
## Exclude Data Before SEBI Changes
Use the toggle to exclude backtesting data before the implementation of the latest SEBI changes.
---
// File: Time-Based-Algo-Trading/how-to-backtest/backtest_btst
# How to Backtest BTST Strategies
Indices are divided according to two expiry dates:
If you trade in indices with weekly and monthly expiry, these two indices are available.
## Indices with Weekly and Monthly Expiry
If you trade in indices with monthly expiry, these four indices are available.
## Indices with Monthly Expiry
When you trade in monthly expiry, you also get the option to get weekly expiries from the previous regime.
## Weekly Expiries from Previous Regime
***
**Toggle ON** includes: Previous Regime Weekly Data & New Regime Monthly Data
**Toggle OFF** includes: Previous Regime Monthly Data & New Regime Monthly Data
Once you have selected the index, you can choose which market you want to trade in. We have cash and a future market.
### Toggle Settings
- **Toggle ON**: Previous Regime Weekly Data & New Regime Monthly Data
- **Toggle OFF**: Previous Regime Monthly Data & New Regime Monthly Data
***
### BTST and Positional Strategies
#### Market Selection
Choose your market: Cash or Future.\
Example: Trading in Nifty in the Cash Market.
#### BTST Strategy Settings:
- **Entry Time**: Time to enter the strategy
- **Exit Time**: Time to exit positions
***
### Legwise and Leg Builder Settings
#### Legwise Settings
You can square off positions partially or completely.
#### Leg Builder Configuration:
- Segment: Future or Options
- Lot: Number of Lots
- Position: Buy or Sell
- Option Type: Call or Put
- Expiry, Strike Criteria, Strike Type
#### Add a Leg
Click **Add Leg** and customize settings as per your strategy.
***
### Strategy Customization Options:
- **Target Profit**
- **Stop Loss** (dropdown options)
- **Trail SL**
- **Re-entry on Target**
- **Re-entry on SL**
- **Simple Momentum**
- **Range Breakout**
***
### Overall Strategy Settings
These settings apply to all strategies.\
Save the strategy and backtest it for your selected time period.
***
### **Important - Delay Restart**
:::info
Turning on Delayed Restart exits your overnight BTST or positional positions at the 09:16 AM price (or any time you set) instead of 09:15 AM, giving you a result you could actually receive. Gap‑ups or gap‑downs at the open can push prices far away from the previous close.
:::
:::warning
The same feature is available in the live environment.
:::
Click on the Delay Restart toggle to turn it on.
***
### Backtest Results
View the results and stats of your strategy.\
Use the toggle to exclude data before the implementation of SEBI changes.
---
// File: Time-Based-Algo-Trading/how-to-backtest/index
# How to Backtest Strategies | AlgoTest Guides
Explore detailed step-by-step guides for backtesting strategies on AlgoTest. Whether you're a seasoned trader or just starting, these resources will help you create and optimise trading strategies tailored to your needs.
***
**How to Backtest BTST Strategies**
Learn how to backtest BTST (Buy Today, Sell Tomorrow) strategies. This guide explains how to set entry and exit times, configure partial or complete square-offs, and fine-tune your strategy settings.
[Visit the BTST Backtesting Guide](https://docs.algotest.in/Time-Based-Algo-Trading/how-to-backtest/btst/)
***
**How to Backtest Intraday Strategies**
Perfect your intraday strategies with this guide. Discover how to set entry and exit times, manage re-entry conditions, and customize strategies for optimal performance.
[Visit the Intraday Backtesting Guide](https://docs.algotest.in/Time-Based-Algo-Trading/how-to-backtest/intraday/)
***
**How to Backtest Positional Strategies**
Dive into positional strategies and learn how to set entry and exit times, calculate trading days before expiry, and create robust strategies for both weekly and monthly expiries.
[Visit the Positional Backtesting Guide](https://docs.algotest.in/Time-Based-Algo-Trading/how-to-backtest/positional/)
***
**How to Backtest Stock Options**
Learn how to backtest stock options effectively with our comprehensive guide. This tutorial covers everything from selecting indices to customizing strategies for stock options.
[Visit the Stock Options Backtesting Guide](https://docs.algotest.in/Time-Based-Algo-Trading/how-to-backtest/stock-options/)
[**How to Backtest Delta Exchange**](https://docs.algotest.in/backtest/how-to-backtest/delta-exchange/)
Learn how to backtest stock options effectively with our comprehensive guide. [Visit the Delta Exchange Backtesting Guide](https://docs.algotest.in/Time-Based-Algo-Trading/how-to-backtest/delta-exchange/)
***
---
// File: Time-Based-Algo-Trading/how-to-backtest/backtest_positional
# How to Backtest Positional Strategies
## Indices are divided according to two expiry dates:
If you trade in indices with weekly and monthly expiry, these two indices are available.
If you trade in indices with monthly expiry, these four indices are available.
When you trade in monthly expiry, you also get the option to get weekly expiries from the previous regime.
### Toggle Options:
- **Toggle ON includes:**\
Previous Regime Weekly Data & New Regime Monthly Data
- **Toggle OFF includes:**\
Previous Regime Monthly Data & New Regime Monthly Data
***
Once you have selected the index, you can choose which market you want to trade in. We have cash and a future market.
***
## Let’s say we are trading in Nifty in the cash market. Now the next step is to make our strategy.
Here we are talking about **Positional Strategies**.
### Positional
- **Entry Time:** The time we want to enter our strategy.
- **Exit Time:** The time we want to exit our positions.
- **Trading days before expiry:** The number of market days remaining until the expiration.
If the expiry for a monthly option is the last Thursday of the month:
- If today is Monday, December 18, 2024, and the expiry date is Thursday, December 26, 2024, there are 5 trading days remaining (excluding weekends and holidays).
You can also select the day when you want to enter and exit the market.
### Average Trading Days to Expiry:
Expiry periods usually have 15–16 average trading days, though in rare cases, there may be up to 24 trading days.
***
### Example: Counting 15–16 Trading Days for Monthly Expiry
Assume the monthly expiry is on **Thursday, January 25, 2024** (the last Thursday of January). Here's how to count backward:
- **Mark the expiry day:**\
Expiry date: Thursday, January 25, 2024.
- **Exclude weekends (Saturday & Sunday):**\
Trading days are only Monday to Friday.
- **Count backward from the expiry date:**\
Start counting trading days from Thursday, January 25.
| **Date** | **Day of Week** | **Trading Day?** | **Trading Days Count** |
| ---------------- | --------------- | ---------------- | ---------------------- |
| January 25, 2024 | Thursday | Yes | 0 |
| January 24, 2024 | Wednesday | Yes | 1 |
| January 23, 2024 | Tuesday | Yes | 2 |
| January 22, 2024 | Monday | Yes | 3 |
| January 19, 2024 | Friday | Yes | 4 |
| January 18, 2024 | Thursday | Yes | 5 |
| ... | ... | ... | ... |
| January 01, 2024 | Thursday | Yes | 20 |
In this example, there are 20 trading days.
### Positional Expiry (Weekly vs. Monthly):
- **Weekly Expiry:** The position will expire every week, i.e., the Thursday of that specific week.
- **Monthly Expiry:** The position will expire monthly, typically the last Thursday of the month.
***
## Strategy Settings
### Legwise Settings:
Once you have selected the strategy type, you can choose to square off partially or completely.
***
### Leg Builder Settings:
To fine-tune your strategy, you can choose different settings in the **Leg Builder**:
- **Segment:** Future or Options
- **Lot:** Number of Lots
- **Position:** Buy or Sell
- **Option Type:** Call or Put
- **Expiry**
- **Select Strike Criteria**
- **Strike Type**
***
### Adding a Leg:
Once you are done with these settings, you can also add a leg. To add a leg, click on **Add Leg**.
***
### Customizing Strategy Settings:
Then you can choose to customize settings according to your strategy.
You can add:
- **Target Profit**
- **Stop Loss:** Select one option from the dropdown and create the strategy accordingly.
- **Trail SL**
- **Re-entry on Tgt**
- **Re-entry on SL**
- **Simple Momentum**
- **Range Breakout**
***
## Overall Strategy Settings:
Once you are done with these settings, you can move to the overall strategy settings.
These settings are applied to all of your strategies.
***
## Saving and Backtesting the Strategy:
Click on the **save** button at the bottom right & save this strategy with any name. Now to backtest this strategy:
1. Select the time for which you want to backtest.
2. Click on **Backtest**.
It will give you the backtest results and stats of this strategy.
You will find a toggle as shown in the image. If you turn this **OFF**, it will exclude backtesting data before the implementation of the latest SEBI changes.
---
// File: Time-Based-Algo-Trading/how-to-backtest/backtest_delta
# How to Backtest BTCUSD & ETHUSD
AlgoTest allows you to **backtest crypto strategies** (BTCUSD & ETHUSD) using the same interface you use for indices and stocks. These backtests run on **Delta Exchange** data, and you can test both **Options** and **Futures**.
## Step 1: Open the Backtest Page
- Navigate to **Backtest → Delta Exchange**
- You’ll see **BTCUSD** and **ETHUSD** available in the **Index** dropdown.
## Step 2: Instrument Settings
- **Index** – Select **BTCUSD** or **ETHUSD**.
- **Underlying from** – Choose whether to use **Cash** or **Futures** price as the underlying.
## Step 3: Entry Settings
- Choose **Strategy Type**: Intraday, BTST, or Positional.
- Set **Entry Time** and **Exit Time** (for intraday) as per your strategy.
- Optional: Enable **Overall Momentum** or restrict **Re-entry** rules.
## Step 4: Leg Builder
Here you define the exact legs of your strategy:
- **Segments** – Choose between:
- **Perpetual Fut** (for perpetual futures contracts)
- **Options** (for BTCUSD or ETHUSD options contracts)
- **Lot Size** – Enter number of lots.
- **Position** – Buy or Sell.
- **Option Type** – Call or Put (only if you choose Options).
- **Expiry** – Select **Today** or future expiry (for Options).
- **Strike Selection** – ATM, ITM, OTM based on strike criteria.
Click **Add Leg** to add it to your strategy.
## Step 5: Legwise Settings
- **Square Off** – Partial or Complete exit of positions.
- **Trail SL to Breakeven** – Apply trailing SL to **All Legs** or **Specific Legs**.
## Step 6: Run Backtest
- Once your strategy is set, click **Run Backtest**.
- AlgoTest will simulate trades on BTCUSD/ETHUSD historical data from Delta Exchange.
## Key Notes
- **Expiry Support**: For crypto options, AlgoTest supports **Today & Tomorrow** expiries.
- **Perpetual Futures** are non-expiring and always available under the **Perpetual FUT** segment.
---
// File: Time-Based-Algo-Trading/how-to-backtest/backtest_stock
# How to BackTest Stock Options
## Indices are divided according to two expiry dates:
### Weekly and Monthly Expiry Indices
### Monthly Expiry Indices
***
## Stock Options
***
## Market Selection
***
## Strategies
### Intraday
- Entry Time: The time at which we want to enter our strategy.
- Exit Time: The time at which we want to exit our positions.
- Restrict re-entry time.
***
### BTST
- Entry Time: The time at which we want to enter our strategy.
- Exit Time: The time at which we want to exit our positions.
***
### Positional
- Entry Time: The time at which we want to enter our strategy.
- Exit Time: The time at which we want to exit our positions.
- Trading days before expiry.
- Example of calculating trading days.
***
## Additional Settings
### Legwise Settings
***
### Leg Builder
- Segment
- Lot
- Position
- Option Type
- Expiry
- Strike Criteria
- Strike Type
***
### Add Leg
***
## Customization
***
## Overall Strategy Settings
***
## Backtesting
- Save the strategy and run the backtest for a chosen time.
***
## SEBI Changes Toggle
- Turn OFF the toggle to exclude backtesting data before the implementation of SEBI changes.
---
// File: Time-Based-Algo-Trading/how-to-backtest/strategy-import-export
## Strategy Import - Export
Are you tired of the hassle of inputting your strategy from one account to another manually?
[AlgoTest's](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) fantastic new strategy Import-Export feature allows you to effortlessly export a strategy from one account and import it into another with just one click.
## How to Use Import - Export Feature
### Exporting a Strategy
To copy your strategy from one account to another account, follow these simple steps.
- Visit AlgoTest and log in to your account. Then, select the strategy you want to copy.
- To download the strategy file, click on the "Export .algtst" button.
- After downloading the file to your device, you can share it with the user you want to share this strategy with.
### Importing a Strategy
To copy this strategy to another account, log in to the account where you want to paste this strategy and click on the 'Create Strategy' button.
- Click on the Import .algtst button as shown in the image below.
- Click on the browse button and select the file that we downloaded.
- Click on the "Import" button to import the strategy, just like it's shown in the image below.
- It will import the strategy displayed in the image below. You can now save the strategy with your desired name.
---
// File: Time-Based-Algo-Trading/how-to-backtest/backtest-920-Straddle/index
# How to Master Backtesting on AlgoTest
## Important Links
📘 **Backtesting Documentation**
- [Backtesting Terms](https://docs.algotest.in/backtest/backtesting-terms/)
- [How to Backtest](https://docs.algotest.in/backtest/how-to-backtest/)
- [Strategy Import and Export](https://docs.algotest.in/backtest/strategy-import-export/)
- [In/Out Sample Testing](https://docs.algotest.in/backtest/in-out-sample/)
- [Budget Day Filter](https://docs.algotest.in/backtest/budget-day-filter/)
- [Monte Carlo Drawdown](https://docs.algotest.in/backtest/monte-carlo-drawdown/)
- [Backtest Comparison](https://docs.algotest.in/backtest/backtest-comparison/)
## The 920 Straddle Strategy Defined
The 920 Straddle on [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) is a popular intraday options trading strategy activated around **9:20 AM**.
***
It involves simultaneously buying or selling an At-The-Money (ATM) call and put option of the same underlying asset with the same expiration. This approach capitalizes on significant market moves in either direction post the market opening volatility.
## Requirements for backtesting on AlgoTest
:::info
The following things are required for backtesting on [AlgoTest](https://algotest.in/feature/backtest?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=backtest) :
1. An AlgoTest account
2. A strategy
:::
## Creating & Backtesting a 920 Straddle Strategy
Backtesting is the cornerstone of strategy validation. It assesses the viability of a trading strategy by simulating its performance using historical data. This evaluation helps traders gauge potential profitability and risk.
### Steps to Create & Backtest a Strategy in Algotest
What we are going to do now is create a famous 920 short straddle strategy with 25% SL in Algotest. To create a strategy for Algotest, we will follow a simple set of steps. Here is a general guide:
- Create an account at [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
- You will get 25 free backtests every week.
- To Create a strategy, click on the 920 straddle dropdown on the left side. It will open a new strategy creation page as shown in the image below.
- Here are some of the features of the [Instrument Settings](https://docs.algotest.in/features/instrument-settings/) & [Entry Settings](https://docs.algotest.in/features/entry-exit-timing/) you should know before you create this strategy.
**Strategy Type**:- Intraday/BTST/Positional:-
***
We have the option if we want to create an Intraday strategy or positional.\
**Entry Time**:- The time at which we want to enter our strategy.\
**Exit Time**:- The time at which we want to exit our positions.\
**Select Index**:- Here we can select the instrument ( For example nifty/bank nifty/Sensex etc)\
**Underlying from**:- Cash/futures:-
***
If we select cash it means our strikes will be selected based on index spot price or futures price.
- According to our Strategy, we are going to enter---
**Strategy Type**:- Intraday\
**Entry Time**:- 9:20\
**Exit Time**:- 3:10\
**Index**:- Nifty\
**Underlying**:- Cash
- Set up these as shown in the image below
- Let me explain some more features of [Leg Builder](https://docs.algotest.in/features/leg-builder/) you should know about to create this strategy.
**Select Segments**:- You can select segments between Options & Futures\
**Total lot**:- Enter the Quantity\
**Position**:- Can select if you want to buy an option/futures or sell an option/futures\
**Option Type**:- Can select between Call or Put options\
**Expiry**:- Option to select if you want to trade this week's expiry/ next week's expiry/ monthly expiry\
**Select Strike Criteria**:- Different Methods to select a strike\\
### Adding a leg in your strategy
Now we have to add a call leg from the leg builder. So, according to our Strategy, we are going to enter:
**Select Segments**:- Options ( Because we want to trade in options)\
**Total Lot**:- 1 (Quantity we want to test with 1 lot)\
**Position**:- Sell (We are Selling a Straddle here)\
**Option Typing**:- Call (First we add a Call leg then in the next step we will add a Put leg)\
**Expiry**:- Weekly (We want to trade only in the current week's expiry)\\
**Select Strike Criteria**:- [:Strike
Type](https://docs.algotest.in/features/leg-builder/#strike-selection) -- ATM (We want to sell ATM Call)
- Set up the above settings.
- After setting up the condition. It will show you the interface as shown in the below image.
- In the above settings, we have added a sell ATM Call leg from leg builder. Now we are going to add a Sell ATM Put Leg from Leg Builder. So enter the below settings in Leg Builder & click on add leg.
**Select Segments**:- Options ( Because we want to trade in options).
**Total Lot**:- 1 (Quantity we want to test with 1 lot)
**Position**:- Sell (We are Selling Call & Put so selecting Sell here).
**Option Typing**:- Put (Want to Add Put Leg Now).
**Expiry**:- Weekly (We want to trade only in the current week's expiry).
**Select Strike Criteria**:- Strike Type -- ATM ( We want to Sell Straddle so selected ATM).
- Now we are going to set a stop-loss for both of these legs. For this, click on the stop loss icon as marked in the image below, and select Percentage. Then, Enter 25 in the percentage field as shown in the below image.
- So now we can save our strategy. Click on the save button on the bottom right & save this strategy with any name(for example 920 straddle) you like. Now to Backtest this strategy select the time for which you want to backtest and click on backtest as shown in the image below.
- It will show you the backtest results and stats of this strategy as shown in the image below. To know how to interpret these stats please [click here](https://docs.algotest.in/backtest/backtesting-terms/).
In order to learn about forward testing, please go to the [:forward
testing section.](https://docs.algotest.in/forward-test/)
In order to learn about live trading on AlgoTest, [please consult the live trade section.](https://docs.algotest.in/live-trade/)
## Conclusion
AlgoTest goes beyond being a mere platform. It is a trading mate for you in every phase of the 920 Straddle trading strategy so it is unquestionably robust and suitable for use in real trading. Because AlgoTest traders have complete reliance to navigate the trading environment, their winning strategies are thoroughly tested, proven to be reliable, and are specifically designed for success.
---
// File: Time-Based-Algo-Trading/portfolio/portfolio-backtest
# Portfolio Backtest
The AlgoTest Portfolio feature enables you to backtest multiple strategies simultaneously with just one click. It will display the combined backtest results and statistics of multiple strategies. **You can backtest up to 50 strategies together in 1 portfolio.**
This feature is very useful for traders who want to diversify their capital across multiple strategies. Traders will be able to view the backtest results of a diversified portfolio to understand how running multiple strategies together can improve their overall results.
## How to Use AlgoTest's Portfolio Feature
You can easily use the AlgoTest Portfolio feature by following these simple steps:
- Visit the [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) website and click on the "Portfolios" button, as shown in the image below.\\
- Click on the **"Create New Portfolio"** button as depicted in the image below.
- Now select the strategies you want to backtest together, give a desired name to your portfolio, and click on **"Create Portfolio."** You can also create a new strategy by clicking on the "Create New Strategy" button.
- Now you can view the strategies in your portfolio. You can choose the time period for backtesting and then run the portfolio by clicking on the **"Run Portfolio"** button.
- You can view the combined backtest result of strategies in the image below.
As shown in the image above, the portfolio backtest displays the backtest results of multiple strategies together and on an individual basis.
## Advanced Features
There are advanced features available in portfolio backtesting that can enhance your results and improve your portfolio.
### Quantity Multiplier
This feature enables the multiplication of quantities in individual strategies within a portfolio and allows for filtering of backtest results based on strategies with different quantities.
- Click on the Quantity Multiplier button, which is shown in the image below.
- You can select the quantity from the drop-down menu, as shown in the image below.
### Day Filter
You can use this feature to filter your portfolio backtest results based on the chosen days for strategies, enabling you to optimize your strategy on a daily basis.
- You can utilize this feature by selecting specific days, as demonstrated in the image below. It will refine the backtest results according to the days you have chosen.
### DTE Filter
Our convenient DTE filter allows you to tailor your approach based on the days remaining until expiry. This feature is designed to optimize and fine-tune your portfolio according to the specific distance from the expiry day of the instrument.
#### What is DTE?
DTE stands for "days to expiry." In simple terms, you can adjust your strategy based on the number of trading days remaining until the contract expires.
#### Trading days to Expiry means:
It only includes trading days and **doesn't include weekends and market holidays.**
#### For example:
If the Sensex expiry is on Tuesday then Monday will be DTE -1 and Friday will be DTE-2.
If you want to backtest the portfolio only on the day of expiry, the distance from expiry is **0 days**. This is commonly referred to as **"0 DTE."** This approach will display the results specifically for the day of expiry for the particular contract.
Let’s take an example of Sensex weekly expiry and assume Tuesday (14th Jan 2025) is the expiry. How are the days selected based on the distance from the expiry in the portfolio backtest in the DTE Filter?
| **DTE** | **No. of Days from Expiry** | **Date** |
| :---------------: | :----------------------------------: | :------------: |
| Day to Expiry = 0 | Expiry day, i.e., Tuesday | 14th Jan, 2025 |
| Day to Expiry = 1 | 1 day before expiry, i.e., Monday | 13th Jan, 2025 |
| Day to Expiry = 2 | 2 days before expiry, i.e., Friday | 11th Jan, 2025 |
| Day to Expiry = 3 | 3 days before expiry i.e., Thursday | 10th Jan, 2025 |
| Day to Expiry = 4 | 4 days before expiry i.e., Wednesday | 09th Jan, 2025 |
You can enable the DTE filter as shown in the image below.
- Now select the days from the options given in the dropdown menu as shown in the image below. Then, click on the apply button to apply to all the strategies.
- You can also choose to apply the DTE filter individually to the strategy, as shown in the image below.
## Margin Feature
The **Margin Feature** lets you view the total margin required for your entire portfolio and estimate the margin requirement for **expiry and non-expiry days**.
### Total Margin
The **Total Margin** section shows the margin required for your complete portfolio across **Intraday, BTST, and Positional** algos.
\
This gives you a clear view of the capital required to run your portfolio before executing the strategies.\
### Margin Estimate
You can use **Margin Estimate** to get a more accurate view of the margin requirement for your portfolio across **expiry and non-expiry days**.
### To use Margin Estimate:
- Run the portfolio backtest.
- In the backtest results, enable the **Margin Estimate** toggle.
- Click **Calculate** to view the estimated margin requirement for expiry day.
**Note:** Margin Estimate must be enabled separately for **DTE** and **Non-DTE**. Select the required category first, then turn on the **Margin Estimate** toggle and click **Calculate**.
### Enable/Disable Strategy
This feature allows you to filter out your backtest results based on your chosen strategy. For example, if you backtest a portfolio of 30 strategies and want to remove some of them from the backtest results, you can simply deselect those strategies, and the backtest results will be filtered accordingly.
### Edit/Delete Portfolio
This feature allows you to edit or delete your portfolio. You can click the edit button to edit your portfolio and add or remove a strategy from it. You can click the delete button to remove the portfolio.
---
// File: Time-Based-Algo-Trading/portfolio/optimiser
import Iframe from "../../../src/components/Iframe";
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
# Portfolio by AlgoTest
The AlgoTest Portfolio feature enables you to backtest multiple strategies simultaneously with just one click. It will display the combined backtest results and statistics of multiple strategies. **You can backtest up to 50 strategies together in 1 portfolio.**
## What is the Portfolio Optimiser? What does it do?
Do you worry about what strategy to run? Trying to figure out what are the best days to run your strategies on?
Well, worry no more because [**AlgoTest’s Optimiser**](https://algotest.in/feature/backtest?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=backtest) is here!
With the **Optimiser** you can quickly optimise your strategies for **Win%**, **Average MTM**, **Maximum Drawdown**, **Return/Maximum Drawdown**, and **Expectancy Ratio**.
## What can I optimise my strategies for?
### Win %
Selecting this for optimisation will maximise your win % for the strategies in your portfolio.
#### What is Win %?
Win % refers to the number of winning (money making) trades in your portfolio. It does not take into account how much was won or lost, but simply the number of trades that made money vs those that didn't.
### Average MTM
Selecting this setting for optimisation will maximise the Average MTM for the strategies in your portfolio.
#### What is Average MTM
Avg MTM, or Average MTM refers to the MTM (Mark to Market) per trade. This is different from overall MTM.
### Maximum Drawdown
Selecting this setting for optimisation will optimise your strategies for the Maximum Drawdown in your portfolio.
#### What is Maximum Drawdown?
A maximum drawdown (MDD) is the maximum observed loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum drawdown is an indicator of downside risk over a specified time period.
### Return/Maximum Drawdown
Selecting this setting for optimisation will optimise your strategies for Return/Maximum Drawdown.
#### What is Return over Maximum Drawdown?
Return over maximum drawdown (RoMaD) is a risk-adjusted return metric used as an alternative to the Sharpe Ratio or Sortino Ratio. Return over maximum drawdown is used mainly when analyzing hedge funds.
### Expectancy Ratio
Selecting this strategy for optimisitation will optimise your strategies for maximum expectancy ratio.
#### What is the Expectancy ratio?
The Expectancy Ratio is a key metric used to measure the performance of trading strategies. It is calculated by dividing the Average Win (AW) by the Average Loss (AL).
---
// File: Time-Based-Algo-Trading/portfolio/understanding-backtest-results
# Understanding a Portfolio BackTest Report?
Understanding how to read a portfolio backtest report is essential for traders looking to refine their strategies and improve their trading outcomes. Whether you are a seasoned trader or a beginner, mastering the art of reading backtest reports will enhance your analytical skills and increase your chances of success in the financial markets. This doc aims to demystify the components of a portfolio backtest report, helping you to interpret the results accurately and make more informed trading decisions.
## **Aggregate BackTest Result**
AlgoTest offers users the ability to view the combined backtest results on a "per trade" basis or a "per period" basis separately. "Per Trade Basis" means that AlgoTest will treat trades from each strategy as separate trades when calculating the backtest results. On the other hand, "Per Period Basis" means that AlgoTest will consider all trades from different strategies within a day as one when calculating the backtest results.
### Per Trade Basis (Intraday Strategies)
"Per Trade" means exactly what it sounds like - we treat every trade of each strategy in the portfolio as a standalone trade, and then calculate the results. You can view this by unchecking the box that says "Aggregate At End of Trading Day" located right above your portfolio result :
Let's learn this with a simple example. We have taken the daily P\&L of two separate strategies in the sheets below.
| Date | Strategy #1 | Strategy #2 |
| ------------ | ----------: | ----------: |
| 2 May, 2022 | -386 | 300 |
| 3 May, 2022 | 83 | 559 |
| 4 May, 2022 | 389 | 268 |
| 5 May, 2022 | -156 | 220 |
| 6 May, 2022 | -316 | -274 |
| 9 May, 2022 | -388 | 32 |
| 10 May, 2022 | 75 | 235 |
| 11 May, 2022 | 139 | -443 |
| 12 May, 2022 | -408 | 492 |
| Per Trade | Aggregate | Strategy #1 | Strategy #2 |
| --------------------------- | -----------: | -----------: | ----------: |
| Average Profit Per Trade | 23.38888889 | -107.5555556 | 154.3333333 |
| Win % | 61.11% | 44.44% | 77.78% |
| Loss % | 38.89% | 55.56% | 22.22% |
| Avg Profit on Winning Trade | 253.8181818 | 171.5 | 300.8571429 |
| Avg Loss in Losing Trade | -215.5454545 | -330.8 | -358.5 |
| Max Profit in Single Trade | 559 | 389 | 559 |
| Max Loss in Single Trade | -443 | -408 | 443 |
When results are aggregated on a "Per Trade" basis (Intraday Strategies):
In the sheet above, there are 9 trading days with 2 strategies in the portfolio. When we aggregate on a "Per Trade" basis, we will consider these as 18 separate data points to calculate our "Aggregate" column.
Let's use the example of calculating the Win% and Loss%. There are 7 trades that show a loss in the above sheet (5 in Strat 1 and 2 in Strat 2). Therefore, there are 11 winning trades. This means our Win% = 11/18 = 61.11%, and our Loss% = 7/18 = 38.89%.
### Per Period Basis (Intraday Strategies)
"Per Period" means that all the strategies executed in a day will be considered as one when calculating backtest results. You can view this by checking the box that says "Aggregate At End of Trading Day" located right above your portfolio result.
Let's understand this with a simple example. We have taken the daily P\&L of two separate strategies in the sheets below.
| Date | Strategy #1 | Strategy #2 | Day's PNL |
| ------------ | ----------: | ----------: | --------: |
| 2 May, 2022 | -386 | 300 | -86 |
| 3 May, 2022 | 83 | 559 | 642 |
| 4 May, 2022 | 389 | 268 | 657 |
| 5 May, 2022 | -156 | 220 | 64 |
| 6 May, 2022 | -316 | -274 | -590 |
| 9 May, 2022 | -388 | 32 | -356 |
| 10 May, 2022 | 75 | 235 | 310 |
| 11 May, 2022 | 139 | -443 | -304 |
| 12 May, 2022 | -408 | 492 | 84 |
| Per Period | Aggregate | Strategy #1 | Strategy #2 |
| ---------------------------- | ----------: | -----------: | ----------: |
| Average Profit Per Period | 46.77777778 | -107.5555556 | 154.3333333 |
| Win % | 55.56% | 44.44% | 77.78% |
| Loss % | 44.44% | 55.56% | 22.22% |
| Avg Profit on Winning Period | 351.4 | 171.5 | 300.8571429 |
| Avg Loss in Losing Period | -267.2 | -330.8 | -358.5 |
| Max Profit in Per Period | 657 | 389 | 559 |
| Max Loss in Per Period | -590 | -408 | 443 |
When results are aggregated on a "Per Period" basis(Intraday Strategies)
We will use the Daily PnL column in the above sheet. Let's recalculate the Win% and Loss%.
When calculating based on Per Trade, we had a total of 18 data points treating each trade of each strategy as separate. On the other hand, with "Per Period," we only have 9 data points, representing the 9 trading days. Out of these 9 days, 4 were losing days and 5 were winning days. You can find this information in the "Daily PnL" column on the right side of the image.
So, Win% = 5/9 = 55.56%, and Loss% = 4/9 = 44.44%.
### Per Trade Basis (Intraday + Positional)
If your portfolio includes both intraday and positional strategies, the Per Trade scenario will work the same as we have read above in the intraday section. It will consider each trade as a separate transaction.
### Per Period Basis (Intraday + Positional)
If your portfolio consists of both intraday and positional strategies, the "Per Period" scenario will be interpreted as "Per Holding Period." For instance, if we are backtesting weekly positional strategies with a maximum holding period of 1 week, the strategies executed within 1 week will be considered as one period.
In this scenario, when a user selects "Aggregate at End of Trading Day" (i.e. on a "Per Period" basis), our Win% and Loss% will now represent the Weekly Win% and Loss%. Here is a sheet of this calculation:
| Date | Strategy #1 | Strategy #1 (Weekly PNL) | Strategy #2 Positional | Overall PNL (Weekly) |
| ------------ | ----------: | ------------------------: | ---------------------: | -------------------: |
| 2 May, 2022 | -386 | \|\|\| | | |
| 3 May, 2022 | 83 | \|\|\| | | |
| 4 May, 2022 | 389 | \|\|\| | | |
| 5 May, 2022 | -156 | -70 | 2200 | 2130 |
| 6 May, 2022 | -316 | \|\|\| | | |
| 9 May, 2022 | -388 | \|\|\| | | |
| 10 May, 2022 | 75 | \|\|\| | | |
| 11 May, 2022 | 139 | \|\|\| | | |
| 12 May, 2022 | -408 | -898 | 1054 | -1952 |
| Per Period | Aggregate | Strategy #1 | Strategy #2 |
| ---------------------------- | --------: | -----------: | ----------: |
| Average Profit Per Period | 89 | -107.5555556 | 573 |
| Win % | 50% | 44.44% | 50% |
| Loss % | 50% | 55.56% | 50% |
| Avg Profit on Winning Period | 2130 | 171.5 | 2200 |
| Avg Loss on Losing Period | -1952 | -330.8 | -1054 |
| Max Profit in Single Period | 2130 | 389 | 2200 |
| Max Loss in Single Period | -1952 | -408 | -1054 |
### "Per Period" Aggregation for a Positional Strategy
In the new column labeled "Strat 1 (Weekly)", we calculate the combined weekly profit of the strategy by adding the individual daily profit or loss of Strat 1. As of 5 May, Strat 1 had incurred a loss of Rs 70, and Strat 2 had generated a profit of Rs 2200. Therefore, the combined weekly profit of the strategy is -70 + 2200 = Rs 2130.
A similar calculation is carried out for the next week, and we now have 2 data points to calculate our Win% and Loss%. Since we made a profit in our first week and a loss in our second week, our Win% = Loss% = 50% in this case.
The fields such as Avg Profit on Winning Day, Avg Loss on Losing Day, etc. are now interpreted as "Avg Profit on Winning Week", "Avg Loss on Losing Week", etc.
## **Important Points**
The following metrics for the portfolio are calculated on a per-period basis for intraday strategies. For intraday strategies, the holding period is 1 day, so strategies executed on a trading day is considered as one period. For positional strategies, the period value may differ, as the holding period is around 7 days or 28 days. Therefore, strategies executed within 1 week or 28 days are considered as one period.
### Overall Profit
The overall profit indicates the combined backtest profit of the strategies in your portfolio for the specific backtested period. This is calculated by adding up the profits generated by the strategies during the backtesting period.
It is an important metric for evaluating backtest performance as it helps determine if the profit aligns with your trading style. This information enables you to make decisions about whether to continue with a particular strategy or not.
### No. of Trades/Period
The "Number of Trades" shows the number of times a trading strategy is executed during a specific backtesting period. For instance, if there are six strategies executed on a trading day it is considered as 6 trades. However, if the same strategy is executed again as a re-entry, it is counted as another trade.
The "Number of Period" refers to the number of trading days for which strategies are executed. For instance, intraday strategies have a holding period of 1 day. Therefore, the number of periods for intraday strategies equals the number of trading days on which they executed. If any number of intraday strategies are executed on a trading day, it is considered as 1 period only.
### Average Profit Per Period
The "Average Profit Per Period" metric indicates the average profit earned per period. It is a very important metric as it suggests how much profit, on average, you make in each period. You can use this metric to design a strategy that suits your return expectations..
Let's consider a simple example to calculate this.
Overall Profit = 200000
Number of Periods = 100
Average Profit Per Period = Overall Profit / Number of Periods
Average Profit Per Period = 200000 / 100 = 2000
### Win% (Periods)
It shows the percentage of periods during which you end up in profit compared to the total number of periods. This metric is very important as it indicates your profit percentage. You can use this information to create a strategy that suits your psychology. For example, if you tend to make a profit most of the time, even if it's a small profit, then you should consider creating a portfolio with a higher win percentage.
Let's consider a simple example to calculate this.
Total number of periods = 200
Number of profit periods = 120
Number of losing periods = 80
Win% = (Number of Profit Periods / Total Number of Periods) \* 100
Win% (Periods) = (120 / 200) \* 100 = 60%
### Loss% (Periods)
It shows you the percentage of periods during which you ended up with a loss compared to the total number of periods. This percentage reflects the frequency of losses in your portfolio, which is a crucial metric as it helps you anticipate potential losses in the future. Based on this statistic, you can adjust your investment strategy to better align with your risk tolerance and financial goals.
Let's consider a simple example to calculate this.
Total Number of Periods = 200
Number of Profitable Periods = 120
Number of Losing Periods = 80
Loss Percentage = Number of Losing Periods / Total Number of Periods
Loss Percentage (Periods) = (80 / 200) \* 100 = 40%
### Average Profit on Winning Periods
It shows you the average profit your portfolio has made during winning periods. This metric is crucial as it provides insight into the average profit you can expect from your portfolio during winning periods, giving you valuable information about profit expectations.
Let's consider a simple example to calculate this.
Total Number of Periods = 10
Total Number of Winning Periods = 5
Overall Profit = 20000
Total Profit on Winning Periods = 25000
Average Profit on Winning Periods = Total Profit on Winning Periods / Total Number of Winning Periods
Average Profit on Winning Periods = 25000 / 5
Average Profit on Winning Periods = 5000
### Average Loss on Losing Periods
This metric shows the average loss your portfolio has experienced during periods of loss. It is crucial as it provides insight into the average loss you can expect from your portfolio during losing periods. This helps you mentally prepare to expect an average loss on losing days or adjust your strategy if the loss is higher than expected.
Let's consider a simple example to calculate this.
Total Number of Periods = 10
Total Number of Losing Periods = 5
Total Loss on Losing Periods = 5000
Average Loss on Losing Periods = Total Loss on Losing Periods / Total Number of Losing Periods
Average Loss on Losing Periods = 5000 / 5
Average Loss on Losing Periods = 1000
### Max Profit in a Single Period
The term "Max Profit in a Single Period" refers to the maximum profit experienced by a portfolio in a single day. It is an important figure because it indicates if a large portion of your overall profit comes from an outlier day. It's better to avoid portfolios where most of the profit comes from a single day.
For example, if you have developed and tested a portfolio from January 1, 2022, to January 5, 2022, and the results are as follows:
January 1, 2022: \$500 profit
January 2, 2022: \$800 profit
January 3, 2022: \$700 loss
January 4, 2022: \$600 profit
January 5, 2022: \$200 loss
Then the maximum profit that the portfolio has experienced in a single period is \$800.
### Max Loss in a Single Period
The term 'Max Loss in a Single Period' refers to the maximum loss that a portfolio has experienced in a single day. It is a very crucial figure, which tells you the maximum loss you can expect in the future on any single day. For instance, if you have developed and tested a portfolio from January 1, 2022, to January 5, 2022, and the results are as follows:
January 1, 2022: \$500 profit
January 2, 2022: \$800 profit
January 3, 2022: \$700 loss
January 4, 2022: \$600 profit
January 5, 2022: \$200 loss
Then the maximum loss that the portfolio has experienced in a single period is \$700.
### Max Drawdown
A maximum drawdown (MDD) refers to the highest observed loss from the highest point to the lowest point of a portfolio, before a new peak is reached. This is an important metric that indicates the potential downside risk over a specific time period. For instance, if you have backtested a portfolio from January 1st, 2022 to January 9th, 2022, tThe maximum drawdown provides a clear indication of the total loss your portfolio experienced during that period. This information allows you to adjust your strategies according to your risk tolerance.
| Date | Profit/Loss | Overall Portfolio Profit/Loss |
| ---------- | ----------: | ----------------------------: |
| 01/01/2022 | 1000 | 1000 |
| 02/01/2022 | -2000 | -1000 |
| 03/01/2022 | -1500 | -2500 |
| 04/01/2022 | 4000 | 1500 |
| 05/01/2022 | -5700 | -4200 |
| 08/01/2022 | -1300 | -5500 |
| 09/01/2022 | 7000 | 1500 |
| 10/01/2022 | 800 | 2300 |
In the table above, you can see that between January 1st, 2022 and January 4th, 2022, your portfolio initially peaked at 1000 before dropping to -2500, before eventually reaching a new peak of 1500 on January 4th, 2022. This means that the maximum drawdown during this period was 3500, which refers to the difference between the peak profit of 1000 and the lowest point of loss at -2500.
Following this, between January 5th, 2022 and January 10th, 2022, your overall strategy portfolio peaked again at 1500 before dropping to -5500, before reaching a new peak of 2300 on January 9th, 2022. This resulted in a maximum drawdown of 7000, which refers to the difference between the peak profit of 1500 and the lowest point of loss at -5500.
Therefore, you experienced 2 drawdowns during this period, with the first being 3500 and the second being 7000. However, the maximum drawdown throughout the entire period from January 5th, 2022 to January 8th, 2022 was 7000.
### Duration of Max Drawdown
The term 'max drawdown duration' refers to the length of time during which your portfolio has experienced the greatest decline in value from its peak.
| Date | Profit/Loss | Overall Strategy Profit/Loss |
| ---------- | ----------: | ---------------------------: |
| 01/01/2022 | 1000 | 1000 |
| 02/01/2022 | -2000 | -1000 |
| 03/01/2022 | -1500 | -2500 |
| 04/01/2022 | 4000 | 1500 |
| 05/01/2022 | -5700 | -4200 |
| 08/01/2022 | -1300 | -5500 |
| 09/01/2022 | 4000 | 1500 |
| 10/01/2022 | 800 | 2300 |
Two drawdowns were faced by the portfolio in the table: the first was 3,500 and the second was 7,000. The maximum duration of the drawdown i.e. 7,000 was four days, from jan 5, 2022 to jan 8, 2022.
### Return/Max DD
During the backtest period, return over max drawdown is calculated by dividing the overall profit by the maximum drawdown in the backtest period, and then dividing that by the number of years in the backtest period. The higher the value, the better.
As shown in the image above, the overall profit in 2019 was 51006 with a maximum drawdown of 7864. The returns to maximum drawdown ratio can be calculated as follows: Returns/Max Drawdown = 51006/7864, which results in 6.48.
### Reward to Risk Ratio (Periods)
This displays the potential reward as compared to the potential risk of the portfolio. In simpler terms, it shows you how much reward you can earn for every rupee of risk taken. A higher ratio indicates that the strategy has the potential for bigger profits compared to the risk involved.
Let's consider a simple example to calculate this.
| Trades | Profit/Loss |
| ---------- | ----------: |
| 01/01/2023 | -400 |
| 02/01/2023 | 900 |
| 03/01/2023 | 1100 |
| 04/01/2023 | -600 |
Reward to Risk Ratio = Total Profit on profitable days/Total Loss on losing days
Reward to Risk Ratio = 1100+900/600+400
Reward to Risk Ratio = 2000/1000
Reward to Risk Ratio = 2
### Expectancy Ratio
The Expectancy Ratio is a crucial metric that traders use to evaluate the effectiveness of their portfolio. It is determined by dividing the Average Win (AW) by the Average Loss (AL).
For instance, if the Average Profit Per Period is 500 and the Average Loss on Losing Period is 1000, the Expectancy Ratio can be calculated as follows:
Expectancy Ratio = Average Profit Per Period / Average Loss on Losing Period
Expectancy Ratio = 500 / 1000
Expectancy Ratio = 0.5
This means that, on average, for every 100 that is lost on losing days, 50 are earned back on average. Therefore, a trader may need to revise their trading strategies if the expectancy ratio is too low.
### Max Win Streak (Periods)
The term 'Max Win Streak Per Period'' refers to the maximum count of consecutive profitable days, without any intervening losing trades.\\
### Max Losing Streak (Period)
The term 'Max Losing Streak Per Period'' refers to the maximum count of consecutive days that resulted in losses, without any winning trades in between them.
### Max Days in Any Drawdown (Periods)
It refers to the Maximum number of days when your portfolio was in a drawdown phase. This drawdown phase need not be equal to your max drawdown(monetarily). It is a very important figure that helps to give an idea of the number of days your portfolio was in drawdown and whether you are able to handle this.
For instance, if you backtested a portfolio and the results are as shown in the table below:
| Drawdown No. | Loss | Number of Trading Days |
| ------------ | ---: | ---------------------: |
| Drawdown 1 | 5000 | 15 |
| Drawdown 2 | 7000 | 10 |
In the table above, you can see that there were 2 instances of drawdown in the portfolio. The first drawdown had 15 trading days, while the second had 10 trading days .
Although the second drawdown was bigger, the number of trading days in the first drawdown was more. Therefore, the maximum number of trades in any drawdown in this case is 15.
---
// File: Time-Based-Algo-Trading/portfolio/recent-backtests
# Recent BackTests
This feature stores backtest results of the portfolio for up to six hours, allowing you to reload the backtest result within a time period of six hours.
:::info
You can run a portfolio, navigate to other pages in AlgoTest, complete other tasks, and return to view the backtest results within a 6-hour timeframe.
:::
## How to use Recent BackTests?
You can utilise the **Recent BackTests** feature by following these simple steps:
- Visit the [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) website and click on the "Portfolios" button, as shown in the image below.
- Select the portfolio you want to backtest and click the backtest button as indicated in the image below.
- Click on the **"Recent Backtests"** button to view your portfolio results. Your results will be stored for 6 hours. You can come back to your portfolio at any time and click on the "Recent Backtests" button to view your recent backtest results within 6 hours from the time you ran the backtest.
- It will show you your recent backtests. You can click on the "load this version" button and it will show you backtest result for that portfolio.
- You can also modify the strategy inputs in the portfolio and backtest the portfolio again. You can view both the old and modified versions of the portfolio backtest results by clicking on the recent backtest button, along with the time, as shown in the image below.
## Important Points
- You don't have to wait for your backtest to load; you can navigate to other screens or pages and return to it later.
- If you make changes to the portfolio, such as adding or removing a strategy, you will not be able to revert to the previous portfolio and its results.
- If you make changes to a strategy in the portfolio and load a previous result, the results based on the previous strategy settings will be loaded, not those reflecting the most recent changes.
---
// File: Time-Based-Algo-Trading/portfolio/index
Portfolio Backtesting allows traders to test multiple strategies together to understand overall portfolio performance, risk exposure, and capital allocation. It helps simulate real-world trading conditions and build more balanced, systematic portfolios.
Portfolio Backtest
[Visit portfolio backtest guide](https://docs.algotest.in/Time-Based-Algo-Trading/portfolio/portfolio-backtest/)
Optimizer
[Visit optimiser guide](https://docs.algotest.in/Time-Based-Algo-Trading/portfolio/optimiser/)
Understanding Portfolio Backtest
[Visit understanding Portfolio backtest guide](https://docs.algotest.in/Time-Based-Algo-Trading/portfolio/understanding-backtest-results/)
Recent Backtest
[Visit the Recent Backtest guide](https://docs.algotest.in/Time-Based-Algo-Trading/portfolio/recent-backtests/)
---
// File: Time-Based-Algo-Trading/portfolio/portfolio-import-export
## Portfolio Import - Export
[AlgoTest's](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) fantastic import-Export feature allows you to effortlessly export a portfolio from one account and import it into another with just one click.
## How to Use Import - Export Feature
### Exporting a Portfolio
To copy your portfolio from one account to another account, follow these simple steps.
- Visit AlgoTest and log in to your account. Then, go to the portfolio you want to export.
- To download the strategy file, click on the "Export" button.
- After downloading the file to your device, you can share it with the user you want to share this portfolio with.
### Importing a Portfolio
To import this portfolio to another account, log in to the account where you want to import this portfolio and click on the 'portfolio' button and you will get the option to import the portfolio in the top panel as shown below:
- Click on the Import button and select file from your system:
- Click on the import button:
- You will get this warning if the portfolio having the same already exists, change the name and click on the import.
- If the portfolio contains strategies with the same names as existing ones, you’ll see the warning as shown below. Rename the strategies to resolve it.
- The import is done:
- You will find your portfolio in the portfolio tab as shown below:
---
// File: Virtual-Execution-Environment/index
Under the latest SEBI and NSE compliance guidelines, algo trading systems must ensure:
- Order messages originate from broker-controlled infrastructure
- Algo logic is hosted in a controlled and traceable environment
[AlgoTest's ](https://algotest.in/)VEE is designed to meet this requirement by providing a dedicated execution environment that is secure, compliant, and easy to use.
**What is a Virtual Execution Environment?**
A Virtual Execution Environment is:
- A dedicated cloud machine running Linux Ubuntu
- Preloaded with the AlgoTest platform
- Equipped with a fixed IP address
- Built to host and execute your algo strategies
Your strategy runs in a controlled environment instead of your personal system, while you retain full control over your logic and execution.
## How to Set Up Your VEE
Learn how to set up your environment and start running strategies:
### 1. Go to Broker Setup
Click **Broker Setup** in the top navigation bar on AlgoTest.
### 2. Open the Virtual Execution Environment Tab
On the Broker Setup page, select the **Virtual Execution Environment** tab.
If you have not purchased a VEE yet, you will see an empty state with a **Buy VEE** button.
### 3. Select a Plan and Purchase
Click **Buy VEE** and choose a plan:
Monthly Plan (30 days)
- 3 Months Plan (90 days, best value)
Select the quantity and click **Buy Plan**. You can also pay using AlgoTest credits.
Each VEE includes:
- Dedicated IP address
- 512 MB RAM
- 10 GB storage
- Linux Ubuntu
- AlgoTest pre-installed
**4. Complete Payment**
Proceed with payment via:
- UPI
- Card
- Netbanking
- Wallet
- Pay Later (via Razorpay)
### 5. Your Environment is Ready
Once activated, your VEE will appear in the list with:
- Name
- Status
- IP address
- Linked brokers
- Expiry date
You can map your broker connections and start running strategies.
### 6. Edit and Run Strategies
You can manage strategies in two ways:
- Use the AlgoTest UI
- Click **Edit .algtst** to open the JSON text editor
Make changes and click **Compile** to validate and save.
Python support coming soon.
**Managing Your VEE**
All active environments are listed under the **Virtual Execution Environment** tab.
For each VEE, you can view:
- Name
- Status
- IP address
- Linked brokers
- Expiry date
You can assign or unassign broker connections at any time.
You can also purchase multiple VEEs to:
- Run separate strategies
- Manage family accounts
- Maintain independent setups
**Renewal and Expiry**
- VEEs are valid for 30 or 90 days from purchase
- AlgoTest reserves your environment for 3 days after expiry
- You can renew at any time, even before expiry
Reach out to our customer support on [Telegram!](https://t.me/AlgoTestUpdate)
---
// File: broker/test-verify-email
# Verify Email
#### Aftеr crеating an account, you nееd to add your еmail addrеss.
- Click on the **user icon** in the top right corner and then click on the **profile** button.
- Click on **Add Email** and enter your email address. Then click on send link.
- You will get a **verification email in your mail**.
***
Click on verify. Your Email is now verified on the AlgoTest account.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
---
// File: broker/5paisa
# 5Paisa | Algo Trading
## 5Paisa Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Smallcase](https://assets.smallcase.com/images/publishers/fivepaisa/logo.png)
:::info
### **5Paisa Account Opening Link**
[https://www.5paisa.com/demat-account](https://www.5paisa.com/demat-account)
### **5Paisa XTS Trading Terminal Link**
[https://xtsmum.5paisa.com](https://xtsmum.5paisa.com)
### **5Paisa XTS API Dashboard**
[https://xtsmum.5paisa.com/dashboard](https://xtsmum.5paisa.com/dashboard)
### **5Paisa Brokerage and Charges**
[https://www.5paisa.com/brokerage-charges](https://www.5paisa.com/brokerage-charges)
### **5Paisa Customer Support**
[https://www.5paisa.com/contact-us](https://www.5paisa.com/contact-us)
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What You’ll Need For 5Paisa Algo Trading
### AlgoTest Account
You need to have an [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) account. If you don’t have a AlgoTest account, you can create it by clicking on [this link](https://algotest.in).
### 5Paisa Account
You need to have a Demat account in 5Paisa. If you don’t have an account, [create an account on 5Paisa](https://www.5paisa.com/demat-account?ReturnUrl=invest-open-account\&ReferralCode=RAGH4073). Make sure to activate F\&O on your account.
### 5Paisa XTS Terminal & XTS API
You need to have the 5Paisa XTS Terminal and XTS API activated on your demat account.
## 5Paisa XTS Terminal and XTS API Activation
- To activate XTS Terminal on your 5paisa account, first you need to request XTS Terminal activation at [support@5paisa.com](mailto\:support@5paisa.com) from registered Email ID. Make sure to mention your 5paisa client ID in mail. You can find the email format for xts activation [here](https://docs.google.com/document/d/19mRVQyEMAPRnZmdn4xZGE_ObmRnIplc2u07flJ7EHOM/).
- You will get XTS Terminal ID Password, XTS API Dashboard ID Password and API Keys on mail within 24 working hours.
Note :- XTS Web Dashboard is a trading terminal where you can manage your Algo position or can execute manually. XTS API Dashboard is used to create and manage API.
- Our XTS Terminal is activated. You can login on XTS Web Terminal Link i.e. [https://xtsmum.5paisa.com](https://xtsmum.5paisa.com) and change password if a pop-up appears and ask you to change password.
- To access the XTS API Dashboard, please use the following URL: [https://xtsmum.5paisa.com/dashboard](https://xtsmum.5paisa.com/dashboard). You can log in using the ID and Password that were sent to you via email for API login. Please note that the XTS Trading Terminal and API Dashboard are two different things, so you will receive a separate set of ID and Password for each.
- Once you log in to the XTS API Dashboard, you will be able to see the existing APIs. These include the Market Data API and Interactive Order API identified by 2 API. You can use these APIs to connect for algo trading. It's important to note that these APIs will expire in 6 months. When they expire, you can create new APIs by clicking on "Create an App".
- Now we just need to copy the API Key and API Secret from Market Data and Interactive Data. Then, we will paste them into the AlgoTest 5Paisa Broker Setup Page.
## Connect 5Paisa with AlgoTest
- To connect 5Paisa with AlgoTest, go to [AlgoTest](https://algotest.in/register?utm_source=blogs\&utm_medium=organics\&utm_campaign=seo). Click on the Broker Setup tab on the right.
- Click on the setup icon located on the right side of the 5Paisa.
- Copy the API Key and API Secret from Interactive Data API in XTS API Dashboard and paste it into algotest as shown in the image.
- Now copy the API Key and API Secret from Market Data API in XTS API Dashboard and paste it into algotest as shown in the image and click on Add 5Paisa.
- We have successfully added 5Paisa to our AlgoTest Account. Now we just have to login 5paisa in AlgoTest. To log in, click on the Login button.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
## About 5paisa Discount Broker
5paisa is one of India's leading discount brokers, offering a wide range of investment and trading services at competitive rates. With a focus on providing cost-effective and efficient trading solutions, 5paisa allows users to trade in stocks, mutual funds, commodities, currencies, and more, all through a single platform. The 5paisa platform is known for its easy-to-use interface, advanced tools, and seamless integration with TradingView and other charting tools, making it ideal for both beginners and seasoned traders.
### What You Can Do with 5paisa
- **Open a Demat Account**: Open a 5paisa Demat account to hold and manage your securities in an electronic format, simplifying buying, selling, and tracking of your investments.
- **Trade Across Multiple Asset Classes**: Execute trades in equities, derivatives, commodities, and currencies through the 5paisa trading platform.
- **Invest in Mutual Funds**: Access a wide range of mutual funds and invest directly via the platform.
- **Use Algo Trading and Strategies**: Integrate with charting tools like TradingView to automate trades based on specific strategies.
- **Access Research and Advisory**: Utilize 5paisa's in-house research, robo-advisory, and analytical tools to make informed trading decisions.
### 5paisa Charges
5paisa follows a flat fee brokerage model, offering competitive pricing across various services:
#### **Account Opening Charges**
- **Demat Account Opening Fee**: Free
- **Trading Account Opening Fee**: Free
#### **Annual Maintenance Charges (AMC)**
- **Demat Account AMC**: ₹45 per month (charged quarterly)
#### **Brokerage Charges**
- **Equity Delivery**: ₹20 per order
- **Equity Intraday**: ₹20 per order
- **Equity Futures & Options**: ₹20 per order
- **Currency Futures & Options**: ₹20 per order
- **Commodity Futures & Options**: ₹20 per order
#### **Other Charges**
- **DP Charges**: ₹12.50 per scrip (debit only)
- **Call and Trade Charges**: ₹100 per call
### FAQs for 5paisa
1. **Is 5paisa safe and legal in India?**
Yes, 5paisa is safe and legal in India. It is a SEBI-registered broker and follows all regulatory guidelines to ensure secure transactions.
1. **Who owns 5paisa?**
5paisa is part of the IIFL (India Infoline) Group and is led by a team of experienced professionals in the financial sector.
1. **What is the customer care number for 5paisa?**
The customer care number for 5paisa is 089766 89766. They also provide support through email and live chat on their website.
1. **How do I activate or reactivate my 5paisa account?**
To activate or reactivate your 5paisa account, log in to the platform and follow the steps in the "Account Management" section or contact customer care for assistance.
1. **What are the charges for trading with 5paisa?**
5paisa charges a flat fee of ₹20 per order for all trades, including equity, derivatives, and commodities.
1. **What is a 5paisa Demat account?**
A 5paisa Demat account allows you to hold your securities electronically, making buying, selling, and managing your investments convenient and secure.
1. **What is the minimum balance required in a 5paisa Demat account?**
There is no minimum balance requirement for a 5paisa Demat account. However, you must maintain sufficient funds to cover charges and margin requirements for trading.
1. **What are the disadvantages of using 5paisa?**
Some users may find the lack of a dedicated offline branch network a disadvantage, and certain advanced features may incur additional fees.
1. **Is 5paisa good for trading?**
Yes, 5paisa is considered good for trading, especially for cost-conscious traders who prefer a flat fee model and access to various financial products on a single platform.
:::
---
// File: broker/acagarwal
# AC Agarwal | Algo Trading
## AC Agarwal Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [acagarwal](https://www.acagarwal.com/assets/img/Boom_logo-new-12-svg.png)
:::info
### **Account Opening Link**
[https://kyc.acagarwal.com/](https://kyc.acagarwal.com/)
### **AC Aggarwal XTS API Portal**
[https://symphony.acagarwal.com:3000/dashboard#!/login](https://symphony.acagarwal.com:3000/dashboard#!/login)
### **AC Aggarwal XTS Trading Terminal**
[https://symphony.acagarwal.com:3000/#/app](https://symphony.acagarwal.com:3000/#/app)
### **Brokerage & Other Charges**
[https://www.acagarwal.com/pricing](https://www.acagarwal.com/pricing)
### **Customer Support**
Mr. Yogesh Sharma: +91-6378882400
### **API Charges**
Free
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What you’ll need for algo-trading on AC Agarwal
### AlgoTest Account
You need to have an [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### AC Agarwal Account
You need to have an active Demat account in AC Aggarwal. If you don’t have an account, create an account on AC Agarwal. Make sure to activate F\&O on your account.
### AC Agarwal XTS API
You need to have XTS API activated on your AC Agarwal account.
## AC Agarwal XTS API Activation
- Go to [https://www.acagarwal.com](https://www.acagarwal.com) . Click on Product & Tools and then click on 3rd Party API’s. Click on Trading API.
- Click on the Request API Link.
- Now Enter your AC Agarwal account client ID and click on submit button and confirm it by entering OTP.
- You will get an XTS Terminal ID Password and XTS API Portal ID Password on mail. You can login AC Agarwal XTS Terminal on this link [https://symphony.acagarwal.com:3000/#/app](https://symphony.acagarwal.com:3000/#/app) using the ID Password you got on mail.
- Now our XTS Trading Terminal is successfully logged in. Now we need to Activate API on AC Agarwal XTS API Portal. Go to [https://symphony.acagarwal.com:3000/dashboard#!/login](https://symphony.acagarwal.com:3000/dashboard#!/login) and login with the ID Password they sent you on mail.
Note :- XTS Trading Terminal is a trading terminal where you can manage your Algo position or can execute manually. XTS API Portal is used to create and manage API.
- Once you log in to the XTS API Dashboard, you will be able to see the existing APIs. These include the Market Data API and Interactive Order API identified by 2 API. You can use these APIs to connect for algo trading. It's important to note that these APIs will expire in 6 months. When they expire, you can create new APIs by clicking on "Create an App".
- Now we need to copy the API Key and API Secret from Market Data and Interactive Data. Then, we should paste them into the AlgoTest Broker Setup Page.
## Connecting AC Aggarwal with AlgoTest
- To connect AC Aggarwal with AlgoTest, go to [AlgoTest.in](https://algotest.in/). Click on the Broker Setup tab on the top right.
- Click on the setup icon located on the right-hand side of AC Agarwal.
- Copy the API Key and API Secret from the Interactive Data API in the XTS API Dashboard and paste them into AlgoTest as shown in the image. It's necessary to note that while copying the API Secret, click on the eye icon first to reveal the API Secret and then copy it.
- Now, copy the API Key and API Secret from Market Data API in XTS API Dashboard and paste it into AlgolTest as shown in the image, and click on Add AC Aggarwal. It's necessary to note that while copying the API Secret, click on the eye icon first to reveal the API Secret and then copy it.
- We have successfully added AC Agarwal to our AlgoTest Account. Now we just have to login to AC Agarwal in AlgoTest. To log in, click on the Login button.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
## AC Agarwal Broker: An Overview
AC Agarwal Broker is a prominent stockbroker in India, offering a comprehensive range of financial services, including equity trading, derivatives, commodities, and mutual fund investments. Known for its competitive brokerage charges and efficient customer service, AC Agarwal aims to provide a user-friendly trading experience for both retail and institutional investors.
Clients can access the trading platform through the **AC Agarwal login** on their website or use advanced tools like **AC Agarwal XTS** for enhanced trading capabilities. Additionally, their Symphony AC Agarwal services provide integration and automation solutions to make trading more efficient and streamlined.
### What You Can Do with AC Agarwal Broker
- **Open a Trading and Demat Account**: Get started with trading by opening a Demat and trading account with AC Agarwal, allowing you to buy, sell, and hold securities in electronic format.
- **Trade Across Various Segments**: Access trading in equity, derivatives, commodities, and currencies, all through a single platform.
- **Invest in Mutual Funds**: Utilize the broker's platform to invest in mutual funds and build a diversified portfolio.
- **Advanced Trading Tools**: Use tools like **AC Agarwal XTS** for a superior trading experience, featuring real-time data, advanced charting, and customizable trading interfaces.
- **24/7 Customer Support**: Contact **AC Agarwal customer care** for any assistance related to trading, accounts, or platform issues. Their phone number is (+91)141-4920999.
### FAQs for AC Agarwal Broker
1. **Is AC Agarwal a reliable broker?**
Yes, AC Agarwal is a well-known broker in India, providing reliable trading services across multiple financial products.
1. **How do I log in to my AC Agarwal account?**
You can log in to your AC Agarwal account by visiting their website and using the **AC Agarwal login** portal with your credentials.
1. **What are the brokerage charges for AC Agarwal?**
AC Agarwal offers competitive brokerage charges, including fees for equity delivery, intraday, futures, options, and commodities. Refer to the list above for specific charges.
1. **How can I contact AC Agarwal customer care?**
You can reach **AC Agarwal customer care** via phone, email, or through their website for any queries or support. Their phone number is (+91)141-4920999.
1. **What is AC Agarwal XTS?**
**AC Agarwal XTS** is an advanced trading tool that offers real-time data, advanced charting, and a customizable trading interface for a superior trading experience.
1. **Are there any account maintenance charges with AC Agarwal?**
Yes, there are annual maintenance charges (AMC) for maintaining a Demat account with AC Agarwal. The charges are specified above.
1. **What are the disadvantages of using AC Agarwal?**
Disadvantages may include limited offline branch support or additional fees for certain advanced trading tools or services.
1. **Is AC Agarwal good for beginners?**
Yes, AC Agarwal provides a user-friendly platform suitable for beginners, along with access to research, tools, and customer support to assist new traders.
:::
---
// File: broker/aliceblue
# Alice Blue | Algo Trading
## Alice Blue Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [GetLogo.Net](https://getlogo.net/wp-content/uploads/2021/03/alice-blue-financial-services-logo-vector.png)
:::info
### **Alice Blue Account Opening Link**
[https://aliceblueonline.com/open-account-fill-kyc-request-call-back/](https://aliceblueonline.com/open-account-fill-kyc-request-call-back/)
### **Alice Blue TradingTerminal**
[https://ant.aliceblueonline.com/](https://ant.aliceblueonline.com/)
### **Alice Blue Brokerage & Charges**
[https://aliceblueonline.com/pricing/](https://aliceblueonline.com/pricing/)
### **Alice Blue Customer Support**
[https://aliceblueonline.com/contact-us/](https://aliceblueonline.com/contact-us/)
### **Alice Blue API Charges**
Free
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What you’ll need for Alice Blue algo trading
### AlgoTest Account
You need to have an [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) account. If you don’t have an AlgoTest account, you can create it by clicking on [this link.](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest)
### AliceBlue Account
You need to have an active Demat account in AliceBlue. If you don’t have an account, create an account on AliceBlue. Make sure to activate F\&O on your account.
## Connecting AliceBlue with AlgoTest
- Go to [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) and select Broker Setup on the right.
- Click on the setup icon located on the right side of the Alice Blue.
- Enter your AliceBlue 6 digit Client ID and click on Add Alice Blue. Note :- You can locate Alice Blue Client ID in the profile section of Alice Blue account.
- We have successfully added Alice Blue to our AlgoTest Account. Now we just have to login to the Alice Blue account in AlgoTest. To log in, click on the Login button. It will redirect you to the Alice Blue broker login page. Enter required credentials and login.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
## Alice Blue: An Overview
**Alice Blue** is a leading discount brokerage firm in India, offering a range of financial services including trading in equities, derivatives, commodities, and currencies. With a strong presence in the market since 2006, Alice Blue has earned a reputation for its customer-centric approach, competitive brokerage charges, and advanced trading tools. The platform is designed to cater to both new and experienced traders, providing easy access to various investment opportunities through its intuitive interface.
### What You Can Do with Alice Blue
- **Open a Trading and Demat Account**: Start trading by opening an Alice Blue Demat and trading account, allowing you to buy, sell, and manage your investments electronically.
- **Trade Across Multiple Segments**: Invest and trade in equities, commodities, currencies, and derivatives with Alice Blue's versatile trading platform.
- **Use Advanced Trading Tools**: Leverage tools like **ANT (Alice Blue Trading Platform)**, which offers features like real-time data, advanced charting, and algorithmic trading.
- **Access Margin Facilities**: Use the **Alice Blue margin calculator** to understand the margin requirements and optimize your trading strategy.
- **Check Brokerage and Other Charges**: Use the **Alice Blue brokerage calculator** to determine trading costs and find the most cost-effective plans.
- **Partner Program**: Join the **Alice Blue Partner Program** to earn additional income by referring clients and expanding the brokerage network.
### Alice Blue Brokerage Charges
#### Account Opening Charges
- **Trading Account Opening Fee**: ₹0 (Free)
- **Demat Account Opening Fee**: ₹150
#### Annual Maintenance Charges (AMC)
- **Demat Account AMC**: ₹400 per annum
#### Brokerage Charges
- **Equity Delivery**: ₹0 (Free)
- **Equity Intraday**: ₹20 per order or 0.01% (whichever is lower)
- **Futures & Options (F\&O)**: ₹20 per order or 0.01% (whichever is lower)
- **Currency Futures & Options**: ₹20 per order or 0.01% (whichever is lower)
- **Commodity Futures & Options**: ₹20 per order or 0.01% (whichever is lower)
#### Other Charges
- **Call and Trade Charges**: ₹20 per call
- **DP Charges**: ₹15 per scrip for debit transactions
### FAQs for Alice Blue
1. **Is Alice Blue a SEBI-registered broker?**
Yes, Alice Blue is a SEBI-registered broker, ensuring compliance with regulatory standards in India.
1. **Who owns Alice Blue?**
Alice Blue is owned by Mr. Siddhavelayutham, who serves as the CEO of the company.
1. **What is the brokerage charged by Alice Blue?**
Alice Blue charges ₹20 per order or 0.01% (whichever is lower) for intraday, F\&O, currency, and commodities. Equity delivery trades are free.
1. **Is Alice Blue good for trading?**
Yes, Alice Blue is considered a good option for trading due to its competitive brokerage rates, advanced trading platform, and reliable customer support.
1. **What are the benefits of trading with Alice Blue?**
Benefits include low brokerage charges, free equity delivery trading, advanced trading tools like ANT, and a robust partner program.
1. **How do I contact Alice Blue customer care?**
You can contact Alice Blue customer care via their customer care number, email, or the support section on their website.
***
Customer / Partner Support · 09.00 - 18.00 , Monday - Saturday · Contact - 07676444362, 07314921313.
1. **What is the margin offered by Alice Blue?**
Alice Blue provides competitive margin options, which can be calculated using their **margin calculator** for precise values.
1. **How do I recover or reactivate my Alice Blue account?**
To recover or reactivate your Alice Blue account, contact customer support or visit their website to follow the necessary procedures.
1. **Can I close my Alice Blue account online?**
Yes, you can initiate the closure of your Alice Blue account online by submitting the required forms and documents through their website.
1. **What is ANT in Alice Blue?**
**ANT (Alice Blue Trading Platform)** is Alice Blue's proprietary trading platform that offers real-time data, advanced charting, and various trading tools to enhance the trading experience.
:::
---
// File: broker/angelonelimited
# Angel One Limited | Algo Trading
## Angel One Limited Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What you’ll need for Angel One Limited algo trading
### AlgoTest Account
You need to have an [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Angel One Limited Demat Account
You need to have an active Demat account with Angel One Limited. If you don’t have an account, \[Open a demat account in Angel One Limited]. Make sure to activate F\&O on your account.
### Angel One Limited API Portal Account
You need to have an account in Angel One Limited API Portal. Go to [https://bit.ly/4ktlAu4](https://bit.ly/4ktlAu4) and click on signup and fill all the required details. Click on Sign Up. Please make sure to use the Same Name, Email ID and Mobile number that you used in Angel One Limited account.
Image via Angel One Limited
## Connecting Angel One Limited with AlgoTest
- Go to [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Log in to your account and select Broker Setup on the top right.
- Click on the setup icon located on the right side of the Angel One Limited.
- To connect Angel One Limited with AlgoTest, we need an API Key. In order to obtain it, we will create an App in the Angel One Limited API Portal. To get started, simply copy the redirect URL using the copy icon as shown below. This URL will be used while creating your API App in the Angelone Limited API Portal in the next steps.
- Now go to [this link](https://bit.ly/4ktlAu4) and click on login. Login your Angel One Limited API Portal account.
- Click on create an app.
- Select trading API. Enter any random name in “App Name” and paste the redirect URL that we copied from algotest broker setup page in “Redirect URL” field. Click on Create an App.
- Our Trading API App is created. We just have to copy API Key from here and paste that into the AlgoTest broker setup page as shown in the image below.
- We have successfully added Angel One Limited as broker to our AlgoTest Account. Now we just have to login to the Angel One Limited account in AlgoTest. To log in, click on the Login button. After clicking the button, you will be taken to the Angel One Limited broker login page where you can enter your login credentials.
Note :- Broker Login timing is 08:30 AM to 3:28 PM.
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
## Angel One Limited: An Overview
**Angel One Limited** (formerly known as Angel Broking) is a leading full-service stockbroker in India, offering a comprehensive suite of financial services, including stock trading, mutual funds, commodities, and derivatives. With over two decades of experience, Angel One Limited has established itself as a trusted name in the Indian financial markets, providing innovative technology, seamless trading platforms, and personalized customer support.
Angel One Limited offers a user-friendly trading experience through its web-based platform, mobile app, and API integration, catering to both retail and institutional investors. The **Angel One Limited app** provides easy access to all trading and investment tools, enabling users to manage their portfolios, execute trades, and track market movements on the go.
### What You Can Do with Angel One Limited?
- **Open a Demat and Trading Account**: Quickly open a Demat and trading account online to start trading in equities, derivatives, commodities, and currencies.
- **Trade Across Multiple Segments**: Access a wide range of investment opportunities, including equities, mutual funds, IPOs, commodities, and more.
- **Use Advanced Trading Tools**: Utilize the **Angel One Limited app** for real-time market data, research, portfolio management, and trading execution.
- **Earn with the Refer and Earn Program**: Participate in the **Angel One Limited Refer and Earn** program to earn rewards by referring friends and family.
- **Leverage the Brokerage and Margin Calculators**: Use the **Angel One Limited brokerage calculator** and **margin calculator** to estimate your trading costs and margin requirements accurately.
### Angel One Limited Charges
#### **Account Opening Charges**
- **Trading Account Opening Fee**: ₹0 (Free)
- **Demat Account Opening Fee**: ₹0 (Free)
#### **Annual Maintenance Charges (AMC)**:
- **Demat Account AMC**: ₹240 per annum
#### **Brokerage Charges**
- **Equity Delivery**: ₹0 (Free)
- **Equity Intraday**: Flat ₹20 per order
- **Futures & Options (F\&O)**: Flat ₹20 per order
- **Currency Futures & Options**: Flat ₹20 per order
- **Commodity Trading**: Flat ₹20 per order
#### **Other Charges**
- **Call and Trade Charges**: ₹20 per call
- **DP Charges**: ₹20 per debit transaction
### FAQs for Angel One Limited
1. **How do I contact Angel One Limited customer care?**
You can contact Angel One Limited customer care via their toll-free number, WhatsApp, email, or through their website's live chat support. Their number is 1800 1020.
1. **What is the WhatsApp number for Angel One Limited?**
The WhatsApp number for Angel One Limited customer service is 7400180180.
1. **How does the Angel One Limited "Refer and Earn" program work?**
The **Refer and Earn program** allows you to earn rewards by referring friends and family to open an account with Angel One Limited. You earn a commission or cashback for each successful referral.
1. **How can I earn money with Angel One Limited?**
You can earn money through trading in stocks, derivatives, commodities, mutual funds, or by participating in their "Refer and Earn" program.
1. **How do I download and install the Angel One Limited app?**
The Angel One Limited app can be downloaded from the Google Play Store or Apple App Store. It is also available for PC use via the Angel One Limited website.
1. **Is the Angel One Limited app safe and legal in India?**
Yes, the Angel One Limited app is safe and fully compliant with SEBI regulations, providing a secure trading environment for its users.
1. **What are the brokerage charges for Angel One Limited?**
Angel One Limited charges a flat fee of ₹20 per order for intraday, F\&O, currency, and commodities, while equity delivery is free.
1. **How is the brokerage fee calculated in Angel One Limited?**
The brokerage fee is calculated on a flat rate per executed order, regardless of the trade size or value.
1. **Can I open an Angel One Limited account online?**
Yes, you can open an Angel One Limited account online by visiting their website and completing the required KYC documentation.
1. **Is Angel One Limited better than other brokers like Generic Broker?**
Angel One Limited offers a comprehensive suite of services with competitive brokerage charges and advanced trading tools, making it a strong contender against other brokers like Generic Broker. The choice depends on individual trading needs and preferences.
:::
---
// File: broker/arhamwealth
# Arham Wealth | Algo Trading
## Arham Wealth Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Arham Wealth](https://www.arhamwealth.com)
## What You’ll Need For Arham Wealth Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Arham Account
You need to have a Demat account with Arham Wealth. If you don't have an account, [create an account on Arham Wealth here](https://ekyc.arhamwealth.com). Make sure to activate F\&O on your account.
## Connecting Arham Wealth with AlgoTest
Go to [AlgoTest](https://algotest.in), login to your account. Click on the Broker Setup at the top right.
You’ll see a dashboard as shown below. Put "Arham Wealth” in the search bar.
You will see the option to set up “Arham Wealth” as shown in the image. Click on the setup.
You will be directed to the page shown in the image below. Now, add the name for this API connection and add your Arham Wealth Client ID.
For API Key, you have to login to your demat account and generate it before you could add it to your AlgoTest account.
All the keys will be given by your broker. Please connect with them for all API Keys.
Once you are done, click on Setup.
You have successfully added Arham Wealth broker to your AlgoTest Account.
## Note: Multi-API is supported.
## About Arham Wealth Broker
### Overview
Arham Wealth is a technology-driven investment and trading platform catering to retail and professional traders. It offers seamless access to equity and derivative markets with a focus on personalized service, responsive support, and modern trading infrastructure.
#### What You Can Do with Arham Wealth on AlgoTest
- Connect your Arham Wealth trading account to AlgoTest
- Automate equity and derivatives strategies without writing code
- Backtest and optimize strategies using historical data
- Track trades, monitor performance, and make real-time adjustments
#### Brokerage Charges
Arham Wealth follows a flat fee brokerage model:
- **Equity Delivery:** ₹0
- **Equity Intraday:** ₹20 per executed order
- **Equity Futures:** ₹20 per executed order
- **Equity Options:** ₹20 per executed order
> Taxes, statutory charges, and platform fees may apply. Please confirm current pricing directly with Arham Wealth.
#### FAQs
**1. Is API access available for Arham Wealth users?**
Yes, Arham Wealth supports API-based trading. You’ll need to complete onboarding and authentication steps via AlgoTest.
**2. What market segments are supported through AlgoTest?**
Equity delivery, intraday, futures, and options segments are supported.
**3. Do I need coding skills to use AlgoTest with Arham Wealth?**
No, AlgoTest offers a no-code interface for creating and deploying strategies.
**4. Can I run multiple strategies at once?**
Yes, you can deploy, manage, and monitor multiple strategies simultaneously through AlgoTest’s dashboard.
---
// File: broker/axisdirect
# Axis Direct | Algo Trading
## Axis Direct Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Axis Direct](https://simplehai.axisdirect.in/subscription-plans)
## What You’ll Need For Axis Direct Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Axis Direct Account
You need to have a Demat account with Axis Direct. If you don't have an account, [create an account on Axis Direct here](https://simplehai.axisdirect.in/subscription-plans). Make sure to activate F\&O on your account.
## Connecting Axis Direct with AlgoTest
Go to [AlgoTest](https://algotest.in), login to your account. Click on the Broker Setup at the top right.
You’ll see a dashboard as shown below. Put "Axis Direct” in the search bar.
You will see the option to set up “Axis Direct” as shown in the image. Click on the setup.
You will be directed to the page shown in the image below. Now, add the name for this API connection and add your Client ID. Click on “Add Axis Direct”.
To find the Client ID, follow these steps:
1. Please go to this [link](https://invest.axisdirect.in/profile) and login to your account.
2. Click on profile from top right, copy the client ID.
3. Paste the client ID above.
Once you are done, click on Setup.
You have successfully added Axis Direct broker to your AlgoTest Account.
Note: Multi-API is supported.
***
## About Axis Direct Broker
#### Overview
Axis Direct is a full-service brokerage arm of Axis Bank, offering equity trading, derivatives, mutual funds, IPOs, and other investment products. It’s known for its integrated 3-in-1 account setup, seamless banking integration, and wide retail reach.
#### What You Can Do with Axis Direct on AlgoTest
With Axis Direct’s integration on AlgoTest, you can:
- Execute backtested strategies directly in your Axis Direct account
- Trade equities and equity derivatives (options/futures)
- Monitor live trades and manage positions through AlgoTest’s platform
#### Brokerage Charges
Axis Direct follows a slab-based brokerage model, and charges may vary depending on the plan chosen (Standard, Value, etc.). Typical charges include:
- **Equity Delivery:** ₹0
- **Equity Intraday:** Flat ₹20 per executed order
- **Equity Futures:** ₹20 per executed order
- **Equity Options:** ₹20 per executed order
> Note: Additional charges may apply for STT, GST, exchange fees, and stamp duty. Please refer to the [Axis Direct pricing page](https://www.axisdirect.in/) for the most up-to-date information.
#### FAQs
**1. Do I need to have an Axis Bank account to use Axis Direct with AlgoTest?**
Yes, Axis Direct operates as a 3-in-1 account with Axis Bank. A bank account is required to use their services.
**2. What segments are supported via AlgoTest?**
Equity, equity intraday, futures, and options are supported. Commodity and currency segments are currently not integrated.
**3. Is any additional permission needed to enable AlgoTest integration?**
You’ll need to authorize AlgoTest access via API and complete any required token generation steps within the AlgoTest platform.
**4. Can I automate trades with Axis Direct on AlgoTest?**
Yes, you can deploy automated strategies that execute trades live in your Axis Direct account once integration is complete.
---
// File: broker/bhansali
# Bhansali | Algo Trading
## Bhansali Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Bhansali](https://www.bvcpl.com)
## What You’ll Need For Algo Trading with Bhansali
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Bhansali Account
You need to have a Demat account with Bhansali. If you don't have an account, [create an account on Bhansali here](https://www.bvcpl.com). Make sure to activate F\&O on your account.
## Connecting Bhansali with AlgoTest
Go to [AlgoTest](https://algotest.in), login to your account. Click on the Broker Setup at the top right.
You’ll see a dashboard as shown below. Put "Bhansali” in the search bar.
You will see the option to set up “Bhansali” as shown in the image. Click on the setup.
You will be directed to the page shown in the image below. Now, add the name for this API connection and add your Client ID, API Key and API Secret Key. Click on “Add Bhansali”.
All the keys will be given by your broker. Please connect with them for all API Keys
Once you are done, click on Setup.
You have successfully added Bhansali broker to your AlgoTest Account.
Note: Multi-API is supported.
***
## About Bhansali Broker
#### Overview
Bhansali Value Creations is a SEBI-registered stock broker providing a range of services including equity, derivatives, commodities, and depository services. They are known for a personalized approach to investing, especially for regional clients.
#### What You Can Do with Bhansali on AlgoTest
With Bhansali’s integration on AlgoTest, you can:
- Execute strategies in the equities and derivatives segments
- Monitor and manage live trades
- Backtest strategies and move to live execution seamlessly
#### Brokerage Charges
Charges for Bhansali may vary by client agreement. Indicative pricing includes:
- **Equity Delivery:** ₹0–₹20 per order
- **Equity Intraday:** ₹10–₹20 per executed order
- **Futures & Options:** Flat ₹20 per executed order
> For precise rates, please consult Bhansali directly.
#### FAQs
**1. Is Bhansali available for algo trading through APIs?**
Yes, Bhansali provides API access for automated trading.
**2. What instruments can I trade using Bhansali via AlgoTest?**
You can trade in equity, intraday, futures, and options. Commodities and currencies are currently unsupported.
**3. Is any additional onboarding required?**
You need to authorize your API credentials on AlgoTest and ensure API activation through Bhansali’s tech support.
**4. Can I use Bhansali on mobile or desktop via AlgoTest?**
Yes, AlgoTest supports Bhansali integration across both web and mobile platforms.
---
// File: broker/bigul
# Bigul | Algo Trading
## Bigul Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
- Once you have signed up successfully you will get a mail with the subject - Welcome to Bigul, APIs Developers, after which you can log in and create a new API app.
- Once you log in for the first time, you will have to validate your trading ID. When it prompts put in your client ID and trading account password to validate your trading account. Once the trading account is validated, you will be able to create a new API app.
## Create a New API APP
:::note
You will have to create 2 API apps:
:::
::::
1. Interactive API app (Order Management API)
2. Market data API app
- Now click on My app and then create new application.
- Start by creating an Interactive Order API. Enter a random name in the App name field, a random description in the API Description box, and select the Interactive Order API. Finally, click on the Create New Application button.
- Now you will see an Interactive Order API is created as shown below.
- To create a Market Data API, go to My App and select "create new application".
- Click on the "Create New Application" button after entering a random name and description in the App Name and API Description boxes respectively, and selecting Market Data API.
- Now you can see that there are 2 API apps created on API Dashboard. They are showing Inactive status.
To activate the API send an email request to [**support@bigul.co**](mailto\:support@bigul.co) from your registered email id. Only once the status shows Active, will the API work.
- Once the status shows active, we just have to copy API Key and API Secret from Interactive Order and Market Data and paste that into AlgoTest Broker Setup Page.
## Connecting Bigul with AlgoTest
- To connect Bigul with AlgoTest, go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Click on the profile icon at the top right and select Broker Setup.
- Click on the setup icon located on the right side of the Bigul.
- Copy the API Key and API Secret from Interactive Data API from Bigul API Portal and paste it into AlgoTest as shown in the image.
- Now copy the API Key and API Secret from Market Data API in Bigul API Portal and paste it into algotest as shown in the image and click on Add Bigul.
- We have successfully added Bigul Broker to our AlgoTest Account. Now we just have to login to Bigul Broker in AlgoTest. To log in, click on the Login button.
:::note
Broker Login timing is 08:30 AM to 3:28 PM
:::
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
## Big Bigul: An Overview
**Bigul** is a new-age brokerage firm in India that provides a range of trading and investment services, including equities, commodities, forex, and derivatives. Bigul is known for its focus on technology-driven trading solutions, particularly in the area of algorithmic trading, making it an attractive option for both retail and professional traders. The platform offers various features, including advanced charting tools, real-time market data, and seamless integration with algo trading strategies to provide an enhanced trading experience.
Bigul's services are accessible through its web-based platform and mobile app, allowing users to trade anytime, anywhere. The platform also includes a **Bigul Refer and Earn program**, enabling users to earn rewards by referring new clients.
Bigul's customer care number is +91 804 502 5533. You can also email Bigul's customer care at [support@bigul.co](mailto\:support@bigul.co).
### What You Can Do with Bigul
- **Open a Trading and Demat Account**: Easily open a trading and Demat account to begin trading in various financial instruments.
- **Trade Across Multiple Segments**: Execute trades in equities, derivatives, commodities, and forex with the Bigul platform.
- **Algo Trading**: Use **Bigul algo trading** to automate your trading strategies and make data-driven decisions in real time.
- **Access Advanced Trading Tools**: Leverage advanced charting tools, market insights, and data analytics for an informed trading experience.
- **Participate in the Refer and Earn Program**: Invite friends to join Bigul and earn rewards through their **Refer and Earn** program.
## FAQs for Bigul
1. **Is Bigul SEBI registered?**
Yes, Bigul is a SEBI-registered broker, ensuring compliance with regulatory standards in India.
1. **How does Bigul algo trading work?**
Bigul offers algorithmic trading solutions that allow traders to automate their strategies using pre-defined rules and real-time data. This enables users to execute trades faster and more efficiently.
1. **Is Bigul algo trading real or fake?**
Bigul algo trading is a legitimate service offered by the broker, providing automated trading tools to enhance the trading experience.
1. **Is the Bigul app safe?**
Yes, the Bigul app is safe and uses advanced security measures to protect user data and transactions.
1. **Who is the CEO of Bigul?**
The CEO of Bigul is Atul Parakh.
1. **What is the SEBI registration number of Bigul?**
The SEBI registration number of Bigul is \[Insert registration number].
1. **How can I participate in the Bigul Refer and Earn program?**
To participate in the **Bigul Refer and Earn program**, refer friends to open an account with Bigul. You earn rewards for every successful referral.
---
// File: broker/choice
# Choice | Algo Trading
## Choice Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Wikimedia Commons](https://upload.wikimedia.org/wikipedia/commons/5/54/Choice_Broking_Logo.png)
:::info
### **Choice Account Opening Link**
[https://choiceindia.com/open-free-demat-account](https://choiceindia.com/open-free-demat-account)
### **Choice Brokerage & Charges**
[https://choiceindia.com/brokerage-charges](https://choiceindia.com/brokerage-charges)
### **Choice Customer Support**
[https://choiceindia.com/contact-us](https://choiceindia.com/contact-us)
### **Choice API Charges**
Free
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What you’ll need for Choice Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Choice Broker Demat Account
You need to have an active Demat account in Choice. If you don’t have an account, [open a demat account in Choice](https://choiceindia.com/open-free-demat-account) . Make sure to activate F\&O on your account.
## Connecting Choice with AlgoTest
- Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Login to your account. Click on the profile icon at the top right and select Broker Setup.
- Click on the setup icon located on the right side of the Choice
- Enter your Choice broker Client ID and click on Add Choice. Note :- You can locate Client ID in the profile section of Choice account.
- We have successfully added Choice broker to our AlgoTest Account. Now we just have to login to the Choice account in AlgoTest. To log in, click on the Login button.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Enter Choice broker User ID and Password. Click on get OTP. Enter OTP and login.
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
## Choice Broking: An Overview
**Choice Broking** is a leading full-service stockbroker in India, operated by Choice Equity Broking Private Limited. It offers a wide range of financial services, including trading in equities, derivatives, commodities, currencies, and mutual funds. Known for its customer-focused approach, Choice Broking provides a range of trading platforms, research reports, and investment advisory services, catering to both retail and institutional clients.
The broker's robust trading platform allows clients to manage their investments seamlessly, while the **Choice Broking app** provides access to market insights, advanced charting tools, and algo trading capabilities. Additionally, Choice Broking offers a **Refer and Earn** program, enabling clients to earn rewards by referring new customers to their services.
### What You Can Do with Choice Broking
- **Open a Trading and Demat Account**: Start trading in various segments, including equities, derivatives, commodities, and currencies by opening a Choice Broking account.
- **Invest in Mutual Funds**: Access a wide range of mutual funds and build a diversified portfolio through the Choice Broking platform.
- **Utilize Advanced Trading Tools**: Use the Choice Broking app for real-time market data, advanced charting, and portfolio management.
- **Participate in Algo Trading**: Leverage algorithmic trading strategies to automate your trades and optimize your investment decisions.
- **Join the Refer and Earn Program**: Invite friends to join Choice Broking and earn rewards through successful referrals.
### Choice Broking Charges
#### **Account Opening Charges**
- **Trading Account Opening Fee**: ₹0 (Free)
- **Demat Account Opening Fee**: ₹0 (Free)
#### **Annual Maintenance Charges (AMC)**
- **Demat Account AMC**: ₹250 per annum
#### **Brokerage Charges**
- **Equity Delivery**: 0.2% per trade
- **Equity Intraday**: 0.02% per trade
- **Futures & Options (F\&O)**: ₹20 per order
- **Currency Trading**: ₹20 per order
- **Commodity Trading**: 0.02% per trade
#### **Other Charges**
- **Call and Trade Charges**: ₹20 per call
- **DP Charges**: ₹15 per scrip (debit only)
### FAQs for Choice Broking
1. **Is Choice Broking a SEBI-registered broker?**
Yes, Choice Broking is a SEBI-registered broker, ensuring compliance with all regulatory requirements in India.
1. **Who owns Choice Broking?**
Choice Broking is owned by **Choice Equity Broking Private Limited**, a part of the Choice Group, a diversified financial services conglomerate in India.
1. **What is Choice Equity Broking?**
**Choice Equity Broking Private Limited** is the entity operating Choice Broking, offering a full suite of financial services, including trading and investment advisory.
1. **What are the annual charges for Choice Broking?**
Choice Broking charges an annual maintenance fee of ₹250 for Demat accounts.
1. **How many clients does Choice Broking have?**
Choice Broking serves a wide client base across India, catering to both retail and institutional investors. (Please specify the exact number of clients if known).
1. **What are the brokerage charges for Choice Broking?**
Choice Broking charges 0.2% per trade for equity delivery, 0.02% per trade for equity intraday, and ₹20 per order for F\&O and currency trading.
1. **Is a Choice Broking Demat account safe?**
Yes, Choice Broking ensures the safety and security of your Demat account, complying with all regulatory standards.
1. **Is Choice Broking a reliable broker?**
Yes, Choice Broking is considered a reliable broker with a strong reputation for customer service, research, and trading facilities.
1. **Which broker has the lowest fees?**
While Choice Broking offers competitive fees, some discount brokers like Generic Broker may offer lower brokerage charges. It depends on the specific needs and trading volume of the customer.
1. **Is Choice Broking better than other brokers like Generic Broker?**
Choice Broking offers a comprehensive range of services, including personalised advisory and research, which may appeal to certain investors. The choice between brokers like Choice Broking and Generic Broker depends on individual trading preferences and requirements.
:::
---
// File: broker/dbinternational
# DB International | Algo Trading
## DB International Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [DB International](https://www.dbonline.in/ekyc_form.aspx)
## What You’ll Need For Algo Trading with DB International
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### DB International Account
You need to have a Demat account with DB International. If you don't have an account, [create an account on DB International here](https://www.dbonline.in/ekyc_form.aspx). Make sure to activate F\&O on your account.
## Connecting DB International with AlgoTest
Go to [AlgoTest](https://algotest.in), login to your account. Click on the Broker Setup at the top right.
You’ll see a dashboard as shown below. Put "DB International” in the search bar.
You will see the option to set up “DB International” as shown in the image. Click on the setup.
You will be directed to the page shown in the image below. Now, add the name for this API connection and add your Interactive API Key, Interactive API Secret Key, Market Data API Key and Market Data API Secret Key. Click on “Add DB International”.
All the keys will be given by your broker. Please connect with them for all API Keys.
Once you are done, click on Setup.
You have successfully added DB International broker to your AlgoTest Account.
Note: Multi-API is supported.
***
## About DB International Broker
#### Overview
DB (Dynamic Beneficial) International Stock Brokers is a Delhi-based full-service brokerage offering a wide array of financial services including equities, derivatives, and commodities trading. They also provide research and personalized advisory.
#### What You Can Do with DB International on AlgoTest
- Connect your DB International account to AlgoTest for trading
- Execute equity and derivative strategies
- Use real-time trade automation
- Analyze and optimize performance with AlgoTest’s analytics tools
#### Brokerage Charges
- **Equity Delivery:** ₹0–₹20 per order
- **Equity Intraday:** ₹20 per executed order
- **Equity Options/Futures:** ₹20 per order
> Please confirm exact brokerage charges from DB International.
#### FAQs
**1. Do I need to request API access from DB International?**
Yes, API access is granted post request and approval by DB International.
**2. What segments are tradable via AlgoTest?**
Equities and equity derivatives (futures/options) are supported.
**3. Can I deploy fully automated strategies?**
Yes, once connected and authorised, AlgoTest allows full trade automation.
**4. Is it beginner-friendly?**
AlgoTest offers a no-code interface, making it easy to use even if you’re new to APIs or algos.
---
// File: broker/deltaexchange
# Delta Exchange | Algo Trading
## Delta Exchange Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Delta Exchange](https://www.delta.exchange)
## What You’ll Need For Algo Trading with Delta Exchange
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/register?utm_source=blogs\&utm_medium=organics\&utm_campaign=seo).
### Delta Exchange Account
You need to have a Demat account with Delta Exchange. If you don't have an account, [create an account on Delta Exchange here](https://www.delta.exchange). Make sure to activate F\&O on your account.
## Connecting Delta Exchange with AlgoTest
Go to [AlgoTest](https://algotest.in), login to your account. Click on the Broker Setup at the top right.
You’ll see a dashboard as shown below. Put "Delta Exchange” in the search bar.
You will see the option to set up “Delta Exchange” as shown in the image. Click on the setup.
You will be directed to the page shown in the image below. Now, add the name for this API connection, add your API Key and API Secret Key. Click on “Add Delta Exchange".
To find the API Key & API Secret Key, follow these steps:
1. Use [this link](https://www.delta.exchange/?code=ALGOTEST) to create an account and avail 10% discount on transaction charges.
2. Please to go to [Delta Exchange](https://www.delta.exchange/app/account/manageapikeys) and login to your account
3. Click “Create New API Key”. Enter API Key name as "AlgoTest"
4. Copy and paste in whitelisted IP (146.190.8.95)
5. Enable "Trading" in permissions and click on "Create API Key"
6. You will receive a verification code on your email, enter it.
7. Enter your 2FA (Two-Factor Authentication) code.
8. Once verified, your API Key and Secret will be shown.
Important: Save both somewhere safe, they won't be shown again.
Copy the API Key and API Secret and paste them above.
Once you are done, click on Setup.
You have successfully added Delta Exchange broker to your AlgoTest Account.
Note: Multi-API is supported.
***
## Delta Exchange
#### Overview
Delta Exchange is a crypto derivatives trading platform offering futures and options on Bitcoin, Ethereum, and other major altcoins. It is known for its robust risk engine, institutional-grade APIs, and support for advanced trading strategies.
#### What You Can Do with Delta Exchange on AlgoTest
With Delta Exchange integration on AlgoTest, you can:
- Execute crypto strategies on BTC, ETH, and other altcoins
- Use options and futures for directional or hedged trades
- Monitor and automate your crypto trades
- Backtest strategies using crypto-specific data and constraints
#### Brokerage Charges
Delta Exchange charges trading fees based on a maker-taker model:
- **Maker Fee:** 0.02%
- **Taker Fee:** 0.05%
> Fees may vary based on your VIP level or trade volume. Please refer to [Delta Exchange Fees](https://www.delta.exchange/fees) for detailed breakdown.
#### FAQs
**1. Is KYC required to trade with Delta Exchange on AlgoTest?** Yes, full KYC is required to trade and withdraw on Delta Exchange.
**2. Which crypto instruments are supported on AlgoTest?** Bitcoin, Ethereum, Futures and Options are listed on Delta Exchange are supported for trading and automation.
**3. Can I use Delta Exchange 24/7?** Yes, crypto markets are open 24/7.
**4. Are there limits on trading volume or instruments?** Limits may apply based on margin and asset class. Please refer to Delta Exchange documentation for specifics.
---
// File: broker/dhan
# Dhan | Algo Trading
## Dhan Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Chittorgarh](https://www.chittorgarh.com/images/ipo/dhan-logo.png)
:::info
### **Dhan Account Opening Link**
[https://dhan.co/open-demat-account/](https://dhan.co/open-demat-account/)
### **Dhan Trading Terminal**:
[https://login.dhan.co/](https://login.dhan.co/)
### **Brokerage & Charges**
[https://dhan.co/pricing/](https://dhan.co/pricing/)
### **Customer Support**
[https://dhan.co/contact/](https://dhan.co/contact/)
### **Dhan API Charges**
Free
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What you’ll need for Dhan Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/register?utm_source=blogs\&utm_medium=organics\&utm_campaign=seo).
### Dhan Demat Account
You need to have an active Demat account in Dhan. If you don’t have an account, [Open a demat account in Dhan](https://dhan.co/open-demat-account/). Make sure to activate F\&O on your account.
## Connecting Dhan with AlgoTest
- Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Login your account. Click on the profile icon at the top right and select Broker Setup.
- Click on the setup icon located on the right side of the Dhan.
- Enter your Dhan Client ID and click on Add Dhan. To find your Dhan Client ID, log in to your Dhan account and click on your profile. Your Client ID will be displayed there.
- We have successfully added Dhan as broker to our AlgoTest Account. Now we just have to login to the Dhan account in AlgoTest. To log in, click on the Login button. After clicking the button, you will be taken to the Dhan broker login page where you can enter your login credentials.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
Note: Multi-API is supported.
## Dhan Broker: An Overview
**Dhan** is a tech-driven brokerage platform in India, designed to provide a seamless trading experience for both new and experienced traders. With its intuitive interface and innovative tools, Dhan allows users to trade across multiple asset classes, including equities, derivatives, commodities, and currencies. The platform is accessible via the **Dhan web login** and the **Dhan app**, both of which offer integration with **TradingView**, allowing traders to access advanced charting tools and technical analysis features.
Dhan is known for its customer-centric approach, providing transparent pricing, low brokerage charges, and unique features like **Dhan Option Trader** for options trading enthusiasts. The broker also offers tools like the **Dhan calculator** to help traders calculate their brokerage costs and potential profits.
You can call Dhan customer care at (+91) 9987761000, Monday to Friday from 9 AM to 6 PM on market trading days. You can also email Dhan at [help@dhan.co](mailto\:help@dhan.co) to ask about the status of a complaint.
### What You Can Do with Dhan
- **Open a Trading and Demat Account**: Easily open a trading and Demat account to start investing in equities, derivatives, commodities, and currencies.
- **Trade with Advanced Tools**: Use the **Dhan app** or web platform to access TradingView for advanced charting, technical analysis, and strategy building.
- **Utilize Dhan Option Trader**: Specialized tools like **Dhan Option Trader** allow for more efficient options trading, including strategy execution and risk management.
- **Access Virtual Trading**: Check whether Dhan provides a virtual trading option to practice and refine your trading strategies without risking real money.
- **Calculate Brokerage and Margins**: Use the **Dhan calculator** to estimate brokerage charges, margins, and potential profits for better financial planning.
- **Analyse SENSEX Options**: Dhan provides tools for options trading and analysis. Before selecting a SENSEX strike or expiry, you can use AlgoTest’s [**Live SENSEX Option Chain**](https://algotest.in/sensex-option-chain) to compare Call and Put OI, Change in OI, volume, LTP, IV, Greeks, PCR and Max Pain.
### Dhan Brokerage Charges
#### Account Opening Charges
- **Trading Account Opening Fee**: ₹0 (Free)
- **Demat Account Opening Fee**: ₹0 (Free)
#### Annual Maintenance Charges (AMC)
- **Demat Account AMC**: ₹300 per annum
#### Brokerage Charges
- **Equity Delivery**: ₹0 (Free)
- **Equity Intraday**: Flat ₹20 per order
- **Futures & Options (F\&O)**: Flat ₹20 per order
- **Currency Trading**: Flat ₹20 per order
- **Commodity Trading**: Flat ₹20 per order
#### Other Charges
- **Call and Trade Charges**: ₹20 per call
- **DP Charges**: ₹15 per scrip for debit transactions
### FAQs for Dhan Broker
1. **How do I log in to Dhan on the web?**
To log in to Dhan on the web, visit the [Dhan website](https://www.dhan.co) and click on the **Dhan web login** option. Enter your user ID and password to access your account.
1. **What is Dhan Web?**
**Dhan Web** is the web-based trading platform of Dhan that allows users to trade, manage their portfolio, and access advanced tools like TradingView for real-time charting and analysis.
1. **How do I find my Dhan user ID?**
Your Dhan user ID is provided at the time of account creation. You can also retrieve it by contacting Dhan customer support or through the app.
1. **Does Dhan provide backtesting?**
While Dhan does not provide backtesting, you can backtest your trades on AlgoTest. [Visit our blog on this topic to find out more.](https://algotest.in/blog/does-dhan-platform-provide-backtesting-or-not/)
1. **Does Dhan offer access to TradingView?**
Yes, Dhan provides access to **TradingView** for advanced charting and technical analysis directly from its platform.
1. **Is the Dhan app safe for trading?**
Yes, the Dhan app is secure and complies with regulatory standards, ensuring a safe trading environment for its users.
1. **What is the brokerage charge of Dhan?**
Dhan charges a flat fee of ₹20 per order for intraday, F\&O, currency, and commodity trading, while equity delivery is free.
1. **Is Dhan a good broker?**
Yes, Dhan is considered a good broker, especially for traders seeking low-cost trading, access to advanced tools like TradingView, and a user-friendly experience.
1. **Who owns the Dhan app?**
**Dhan** is owned and run by CEO Pravin Jadhav. Dhan focuses on providing technology-driven trading solutions.
1. **What is the use of the Dhan app?**
The **Dhan app** allows users to trade in various asset classes, access market insights, use advanced charting tools, and manage their portfolios on the go.
:::
---
// File: broker/enrich
# Enrich | Algo Trading
## Enrich Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Enrich](https://enrichmoney.in)
## What You’ll Need For Enrich Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Enrich Account
You need to have a Demat account in Enrich. If you don't have an account, [create an account on Enrich](https://enrichmoney.in). Make sure to activate F\&O on your account.
## Connecting Enrich with AlgoTest
Go to [AlgoTest](https://algotest.in), login to your account. Click on the Broker Setup at the top right.
You’ll see a dashboard as shown below. Put "Enrich” in the search bar.
You will see the option to set up “Enrich” as shown in the image. Click on the setup.
You will be directed to the page shown in the image below. Now, add the name for this API connection and add your Enrich username. Click on “Add Enrich”.
Once you have added the Enrich, you will have to log in to your Enrich account.
You will be directed to the page shown below. Add your client code and password and login with your Enrich account.
## Note: No Multi-API is supported.
## About Enrich Broking
#### Overview
Enrich Broking is a Chennai-based financial services firm offering trading in equities, commodities, derivatives, and currencies. Known for its strong presence in southern India, Enrich combines user-friendly platforms with personalized support and education-focused initiatives.
#### What You Can Do with Enrich Broking on AlgoTest
- Connect your Enrich trading account to AlgoTest seamlessly
- Deploy algorithmic strategies in equity and derivatives segments
- Use AlgoTest's no-code tools to build and automate trades
- Backtest strategies using historical data to optimize performance
- Monitor positions, trades, and PnL in real time
#### Brokerage Charges
Enrich follows a flat-fee model across segments:
- **Equity Delivery:** ₹0
- **Equity Intraday:** ₹20 per order
- **Equity Futures:** ₹20 per order
- **Equity Options:** ₹20 per order
> Additional statutory charges (STT, GST, SEBI fee, etc.) apply. Please confirm the latest brokerage plan directly with Enrich.
#### FAQs
**1. Does Enrich Broking support API-based trading?** Yes, Enrich offers trading APIs that are compatible with AlgoTest for automated strategy execution.
**2. What asset classes are supported via AlgoTest?** Equity delivery, intraday, futures, and options segments are supported. Commodities and currencies may be supported depending on your API access.
**3. Is coding knowledge required to use AlgoTest with Enrich?** No. AlgoTest provides a no-code interface allowing traders to automate strategies without programming.
**4. How do I enable API access with Enrich?** You’ll need to request API credentials from Enrich Broking and authorize them inside AlgoTest’s integration flow.
**5. Can I manage multiple strategies through AlgoTest with Enrich?** Yes, AlgoTest supports multi-strategy deployment and management through a centralized dashboard.
---
// File: broker/findoc
# Findoc | Algo Trading
## Findoc Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Findoc](https://www.findoc.com/open-demat-account-online)
## What You’ll Need For Algo Trading with Findoc
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Findoc Account
You need to have a Demat account with Findoc. If you don't have an account, [create an account on Findoc here](https://www.findoc.com/open-demat-account-onlines). Make sure to activate F\&O on your account.
## Connecting Findoc with AlgoTest
Go to [AlgoTest](https://algotest.in), login to your account. Click on the Broker Setup at the top right.
You’ll see a dashboard as shown below. Put "Findoc” in the search bar.
You will see the option to set up “Findoc” as shown in the image. Click on the setup.
You will be directed to the page shown in the image below. Now, add the name for this API connection and add your Client ID. Click on “Add Findoc”.
To find the Client ID, follow these steps:
1. Please go to your profile and login to your account.
2. Click on profile from top right, copy the client ID.
3. Paste the client ID above.
Once you are done, click on Setup.
You have successfully added Findoc broker to your AlgoTest Account.
## Note: Multi-API is supported.
## About Findoc Broker
#### Overview
Findoc is a full-service Indian stockbroker offering a range of services in equities, commodities, currencies, and derivatives. Known for its strong regional presence, Findoc is also expanding into digital-first and algo trading services.
#### What You Can Do with Findoc on AlgoTest
With Findoc's integration on AlgoTest, you can:
- Execute equity, intraday, and F\&O strategies
- Connect and automate your trades using Findoc APIs
- Use live strategy deployment and backtesting tools
- Track performance using AlgoTest dashboards
#### Brokerage Charges
Findoc follows a flat-rate model:
- **Equity Delivery:** ₹0
- **Equity Intraday:** ₹20 per executed order
- **Futures:** ₹20 per executed order
- **Options:** ₹20 per executed order
> Charges may vary by plan or relationship manager. Confirm exact rates with your broker.
#### FAQs
**1. Is API access available for all Findoc users?** Yes, upon request and approval, API access is granted for AlgoTest integration.
**2. Which market segments are supported?** Equities, intraday, futures, and options.
**3. Can I test my strategies before going live?** Yes, AlgoTest supports robust backtesting before live deployment.
**4. Is Findoc supported on mobile and desktop?** Yes, AlgoTest integration works seamlessly on both platforms.
---
// File: broker/finvasia
# Shoonya By Finvasia | Algo Trading
## Shoonya Broker Information
[:For
any queries, reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [shoonya.com](https://shoonya.com/static/img/shoonya_logo.1937b07.png)
:::info
### **Shoonya Account Opening Link**
[https://prism.shoonya.com/register](https://prism.shoonya.com/register)
### **Shoonya Trading Terminal**
[https://trade.shoonya.com/#/](https://trade.shoonya.com/#/)
### **Shoonya Brokerage & Charges**
[https://shoonya.com/pricing](https://shoonya.com/pricing)
### **Shoonya Customer Support**
[https://shoonya.com/contact-us](https://shoonya.com/contact-us)
### **Shoonya API Charges**
Free
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What You Need for Shoonya Algo Trading via AlgoTest
### **AlgoTest Account**
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/register?utm_source=blogs\&utm_medium=organics\&utm_campaign=seo).
### **Shoonya Demat Account**
You need to have an active Demat account in Shoonya. If you don’t have an account, open[ a demat account in Shoonya](https://prism.shoonya.com/register). Make sure your **F\&O segment is activated** if you plan to automate options strategies.
### **TOTP Setup on Shoonya**
Shoonya requires a **mandatory TOTP login** for secure automation.
Follow the official Shoonya TOTP setup process within your dashboard/app.
(TOTP is required every day for broker login on AlgoTest.)
[Click Here](https://youtu.be/zLQAn4E61u0?si=mjpwWNtGV5eLmlw0).
## \*\*How to Connect Shoonya with AlgoTest \*\*
- Go to [AlgoTest.in](http://AlgoTest.in). Log in to your account. Click on the profile icon at the top right and select Broker Setup.
- Click on the setup icon located in the Shoonya box.
- Enter your Shponya Client ID and click on Add Shoonya.
- We have successfully added Shoonya as a broker to our AlgoTest Account.
- Now we just have to log in to the Shoonya account via AlgoTest. To log in, click on the Login button.
- Enter your Shoonya account password and TOTP and click the Login button.
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
:::
## **Shoonya: An Overview**
Shoonya is a technology-driven platform powered by Finvasia, designed to give traders and investors a seamless, cost-efficient, and modern trading experience. It offers commission-free investing on equity delivery, mutual funds, and IPOs.
Shoonya provides both web and mobile platforms equipped with TradingView charts, real-time market data and professional-grade order execution tools. The platform further strengthens decision-making through [**SensAI**](https://shoonya.com/sensai), Shoonya’s first-of-its-kind AI-powered multi-agent intelligence system that analyses stocks across technicals, fundamentals, news, and sentiment to deliver clear, data-backed insights. SensAI helps traders interpret market mood, identify patterns, and make informed investment decisions with greater confidence.
Additionally, Shoonya operates with zero hidden charges and does not impose fees on account opening, annual maintenance, clearing, call & trade, platform usage, or API access, making it one of the most transparent and cost-effective trading platforms in India.
### **What You Can Do with Shoonya**
- **Open a Trading and Demat Account**: Start investing and trading across multiple asset classes, including equities, derivatives, commodities, and currencies.
- **Trade with Lowest Cost Structure in India**: Enjoy the lowest brokerage on all trades with Shoonya, making it one of the most cost-effective brokers in India.
- **Use Advanced Trading Platforms**: Access Shoonya’s advanced order types, charting, and risk tools for a seamless trading experience, available on both web and mobile.
- **Leverage Free API Access**: Shoonya provides **free API access** for Python, NodeJS, and .NET SDK.
**AI-Powered Stock Insights (SensAI):** SensAI, Shoonya’s first-of-its-kind, multi-agent intelligence system designed to analyse stock sentiment across news, technical indicators, fundamentals, and real-time market behaviour.
### **Shoonya Charges**
#### **Account Opening Charges**
- **Trading Account Opening Fee**: ₹0 (Free)
- **Demat Account Opening Fee**: ₹0 (Free)
#### **Annual Maintenance Charges (AMC)**
- **Demat Account AMC**: ₹0 (Free)
#### **Brokerage Charges**
| | |
| --------------------- | --------------------------- |
| **Segment** | **Brokerage** |
| **Equity Delivery** | ₹0 |
| **Equity Intraday** | ₹5 or 0.03% (lower) + GST |
| **Futures** | ₹5 or 0.03% (lower) + GST |
| **Options** | ₹5 per executed order + GST |
| **Currency Futures** | ₹5 or 0.03% (lower) + GST |
| **Currency Options** | ₹5 per executed order + GST |
| **Commodity Futures** | ₹5 or 0.03% (lower) + GST |
| **Commodity Options** | ₹5 per executed order + GST |
#### **Other Charges**
- **DP Charges:** ₹9 + GST per scrip (sell side)
- **Pledge/Unpledge:** ₹20
- **API charges:** ₹0
- **Call & Trade:** ₹0
- **Clearing Charges:** ₹0
## **FAQs for Shoonya**
1. **How do I log in to Shoonya?**\
\
To log in to **Shoonya**, visit the [Shoonya website ](https://shoonya.com/)or download the Shoonya app([Android](https://play.google.com/store/apps/details?id=com.shoonya.s2\&pcampaignid=web_share)/[iOS](https://apps.apple.com/in/app/shoonya-app-early-access/id6745090366)). Enter your user credentials to access your account.
2. **Is Shoonya a SEBI-registered broker?**
Yes, Shoonya is a SEBI-registered broker, ensuring compliance with regulatory standards.
3. **Is Shoonya a trusted and safe company?**
Yes, Shoonya is considered a trusted and safe brokerage firm, offering a transparent brokerage and complying with all regulatory guidelines.
4. **How much brokerage does Shoonya charge?**
Shoonya charges zero brokerage on equity delivery, ETFs, IPOs, and zero commission on mutual funds, bonds and G-Sec services. For equities intraday, commodity derivatives, futures & options, and currency derivatives, it charges ₹5 per executed order or 0.03% (whichever is lower) + GST.
5. **Is Shoonya really free and zero brokerage?**
Yes, Shoonya is truly zero-brokerage on Equity Delivery, Mutual Funds, ETFs (Delivery), IPOs, Bonds, Account opening & AMC, Platform/API usage, Call & Trade, Auto square-off, Clearing charges, Corporate actions, and NRI equity delivery.
6. **Which is better, Generic Broker or Shoonya?**
Shoonya is better if you want zero brokerage on Equity Delivery, Mutual Funds, ETFs (Delivery), IPOs, Bonds, free account services, and the lowest cost trades. A generic broker usually charges higher brokerage and added fees, making Shoonya the more cost-efficient option.
7. **How do I contact Shoonya customer care?**
You can contact Shoonya customer care via phone, [email](mailto\:clientsupport@shoonya.com), or WhatsApp. The customer care number is \[+91 97799 02002].
8. **Does Shoonya have hidden charges?**
No, Shoonya doesn’t have hidden charges; its fee structure is genuinely transparent.
It charges zero brokerage on equity delivery, ETFs, IPOs, and zero commission on mutual funds, bonds and G-Sec services. For equities intraday, commodity derivatives, futures & options, and currency derivatives, it charges ₹5 per executed order or 0.03% (whichever is lower) + GST.
9. **How do I use the Shoonya API, and is it free?**
The [**Shoonya API**](https://shoonya.com/apis) is available for free and can be accessed by contacting their support team. It allows you to integrate and automate your trading strategies using algorithmic trading.
---
// File: broker/firstock
# Firstock | Algo Trading
## Firstock Broker Information
[:For any queries, reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Google Play](https://play-lh.googleusercontent.com/JWY7uQGX5GyjpFWWA4tRbBFXdV1IBItZmbroVytNgrxWoelcJRiibMa54buHzIndqqiX)
:::info
### **Firstock Account Opening Link**
[https://signup.firstock.in/](https://signup.firstock.in/)
### **Firstock Trading Terminal**
[https://app.firstock.in/](https://app.firstock.in/login)
### **FirStock API Portal**
[https://firstock.in/api](https://firstock.in/api)
### **Firstock Brokerage & Charges**
[https://firstock.in/pricing](https://firstock.in/pricing)
### **Firstock Customer Support**
[https://firstock.in/contact](https://firstock.in/contact)
### **Firstock API Charges**
Free
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What You’ll Need For Firstock Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Firstock Demat Account
You need to have an active Demat account in Firstock. If you don’t have an account, [open a demat account in Firstock](https://signup.thefirstock.com/). Make sure to activate F\&O on your account.
### TOTP Setup On Firstock Account
You need to have TOTP enabled on your Firstock account. To know how to do TOTP Setup, [click here](https://firstock-common.s3.ap-south-1.amazonaws.com/login/Web+App+-+Login+Journey.pdf)
## Connecting Firstock with AlgoTest
- Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Log in to your account. Click on the profile icon at the top right and select Broker Setup.
- Click on the setup icon located on the right side of the Firstock.
- Now we need API Key and Vendor Code to add a Firstock broker in AlgoTest.
- Go to [https://firstock.in/api/](https://firstock.in/api/) and login using Firstock account credentials.
- Click on "Generate API Key". Copy the Vendor Code and API Key and paste them into the AlgoTest Broker Setup page. Note: Enter the Vendor Code in capital letters and without "\_API".
- We have successfully added Firstock broker to our AlgoTest Account. Now we just have to login Firstock account in AlgoTest. To log in, click on the Login button.
Note:- Broker Login timing is 08:30 AM to 3:28 PM
- Enter your Firstock account password and TOTP and click on the Login button.
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
## Firstock: An Overview
**Firstock** is a growing stock brokerage firm in India that offers a range of trading and investment services, including equities, derivatives, commodities, and currency trading. Firstock aims to provide a user-friendly trading experience with its advanced trading platforms and software solutions, making it suitable for both new and experienced traders. The platform is accessible via the **Firstock web login** or mobile app, providing seamless access to market data, research, and trading tools.
Firstock is known for its competitive brokerage structure, comprehensive customer support, and advanced trading tools, including API integration for algorithmic trading. The firm also offers an efficient account opening process and supports clients with dedicated customer care.
### What You Can Do with Firstock
- **Open a Trading and Demat Account**: Start trading in equities, derivatives, commodities, and currencies by opening a Firstock trading and Demat account.
- **Utilise Advanced Trading Software**: Access the **Firstock software** for advanced charting, market analysis, and real-time trading.
- **Leverage the Firstock API**: Use the **Firstock API** for automated trading strategies and algorithmic trading.
- **Calculate Brokerage Costs**: Use the **Firstock brokerage calculator** to estimate your trading costs and make informed decisions.
- **Compare Brokers**: Analyse the differences between **Firstock and Generic Broker** to choose the best broker for your trading needs.
### Firstock Charges
#### Account Opening Charges
- **Trading Account Opening Fee**: ₹0 (Free)
- **Demat Account Opening Fee**: ₹0 (Free)
#### Annual Maintenance Charges (AMC)
- **Demat Account AMC**: ₹0
#### Brokerage Charges
- **Equity Delivery**: ₹0 (Free)
- **Equity Intraday**: ₹20 per order or 0.03% (whichever is lower)
- **Futures & Options (F\&O)**: ₹20 per order or 0.03% (whichever is lower)
#### Other Charges
- **Call and Trade Charges**: ₹50 + 18% GST
- **DP Charges**: ₹13.5 + 18% GST per debit transaction
## FAQs for Firstock
**1. Who is the founder of Firstock?**
Vikram A.V is the founder and CEO of Firstock.\
\
**2. How do I log in to Firstock on the web?**\
To log in to Firstock on the web, visit [app.firstock.in](http://app.firstock.in)\
\
**3. What are the DP charges in Firstock?**\
Firstock DP charges are a flat fee of ₹13.5 + 18% GST per ISIN (stock) per day, levied only when you sell shares from your demat account.\
\
**4. How do I withdraw money from Firstock?**\
To withdraw funds from Firstock account, log in to the Firstock app or web, go to Funds, click on Withdraw, enter the amount, and click on Withdraw.\
\
**5. What is the brokerage charge for Firstock?**\
Firstock offers zero brokerage on equity delivery trades and a flat fee of ₹20 or 0.03% (whichever is lower) per executed order for intraday, futures, and options flat ₹20. for more details on Firstock pricing and charges please click [here](https://firstock.in/pricing)\
\
**6. How do Firstock and Generic Broker compare? While both brokers offer competitive pricing.**\
Firstock focuses on advanced software and API offerings, while Generic Broker is known for its simplified trading experience and widespread popularity.\
\
**7. What are the software and API offerings by Firstock?**\
Firstock offers advanced trading software and free API access for algorithmic trading and automated strategies.
\
**8. How do I contact Firstock customer care?**\
You can contact Firstock customer care at 080 4670 2050 during the following business hours or email [support@firstock.in](mailto\:support@firstock.in)\
\
Monday to Friday: 8:30 AM – 6:00 PM\
Saturday: 10:30 AM – 5:00 PM
:::
---
// File: broker/flattrade
# FlatTrade | Algo Trading
## FlatTrade Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Finec](https://finec.in/wp-content/uploads/2023/05/Flat-Trade-Logo.png)
:::info
### **FlatTrade Account Opening Link**
[https://ekyc.flattrade.in/openaccount/](https://ekyc.flattrade.in/openaccount/)
### **FlatTrade Trading Terminal Link**
[https://web.flattrade.in/#/](https://web.flattrade.in/#/)
### **FlatTrade API Portal Link**
[https://wall.flattrade.in/login](https://wall.flattrade.in/login)
### **FlatTrade Brokerage and Charges**
[https://flattrade.in/pricing](https://flattrade.in/pricing)
### **FlatTrade Customer Support**:
[https://flattrade.in/support/](https://flattrade.in/support/)
### **FlatTrade API Cost**
Free
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What You’ll Need For Flattrade Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### FlatTrade Account
You need to have an active Demat account in Flattrade. If you don’t have an account, [Open a demat account in Flattrade](https://ekyc.flattrade.in/openaccount/). Make sure to activate F\&O on your account.
## Connecting FlatTrade with AlgoTest
- Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Login to your account. Click on the profile icon at the top right and select Broker Setup.
- Click on the setup button located under FlatTrade.
- To add Flattrade as a broker in AlgoTest, we require API Key and API Secret. To obtain these, we need to create an API APP in Flattrade API Portal. To achieve this, We should copy the Redirect URL as shown in the image below. We will use this Redirect URL while creating the API in Flattrade API Portal.
- For API Key and API Secret, go to [https://wall.flattrade.in](https://wall.flattrade.in) and login your flattrade account.
- Navigate to “Pi” on the menu section of the Page.
Image Via [Flattrade](https://flattrade.s3.ap-south-1.amazonaws.com/promo/pi20.png)
- Click on “Create New API Key”
Image Via [Flattrade](https://flattrade.s3.ap-south-1.amazonaws.com/promo/pi20.png)
- Enter App Name as "AlgoTest" and App Short Name as "AlgoTest". Paste Redirect URL that we copied from AlgoTest broker setup page in “Redirect URL” field. Enter “Trading API for AlgoTest” in description field and click on Create. Note :- You can enter any random name in App Name, App Short Name and Description.
Image Via [Flattrade](https://flattrade.s3.ap-south-1.amazonaws.com/promo/pi21.png)
- Our API App has been successfully created. Copy the API Key from here and paste it into AlgoTest broker setup page.
Image Via [Flattrade](https://flattrade.s3.ap-south-1.amazonaws.com/promo/pi22.png)
- Click on the Secret Key icon and copy the secret Key and paste it into the AlgoTest broker setup page. Click on Add FlatTrade.
Image via [Flattrade](https://flattrade.s3.ap-south-1.amazonaws.com/promo/pi23.png)
***
- We have successfully added Flattrade broker to our AlgoTest Account. Now we just have to login to the FlatTrade broker in AlgoTest. To log in, click on the Login button. After clicking the button, you will be taken to the FlatTrade broker login page where you can enter your login credentials.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
## FlatTrade: An Overview
**FlatTrade** is a discount brokerage firm in India that offers zero brokerage trading across various segments, including equities, commodities, derivatives, and currencies. FlatTrade aims to provide a cost-effective and user-friendly trading experience for both new and experienced traders. With a focus on technology-driven solutions, the broker offers advanced trading platforms, tools, and APIs for automated and algorithmic trading.
FlatTrade is accessible via the **FlatTrade web login** and mobile app, providing a seamless experience for its users. The broker is known for its competitive pricing structure, fast customer support, and efficient back-office services, making it a popular choice for traders looking for low-cost trading solutions.
### What You Can Do with FlatTrade
- **Open a Trading and Demat Account**: Start trading in equities, derivatives, commodities, and currencies by opening a FlatTrade trading and Demat account.
- **Zero Brokerage Trading**: Enjoy zero brokerage on all trades, making it one of the most cost-effective brokers in the market.
- **Access Advanced Trading Tools**: Use the **FlatTrade web platform** and mobile app for real-time market data, advanced charting, and seamless trading.
- **Leverage API Access**: Use the **FlatTrade API** for automated and algorithmic trading strategies, integrating your own trading systems.
- **Use the Brokerage and Margin Calculators**: Utilize the **FlatTrade brokerage calculator** and **margin calculator** to estimate trading costs and margin requirements.
### FlatTrade Charges
### Account Opening Charges
- **Trading Account Opening Fee**: ₹0 (Free)
- **Demat Account Opening Fee**: ₹0 (Free)
### Annual Maintenance Charges (AMC)
- **Demat Account AMC**: ₹300 per annum
### Brokerage Charges
- **Equity Delivery**: ₹0 (Free)
- **Equity Intraday**: ₹0 (Free)
- **Futures & Options (F\&O)**: ₹0 (Free)
- **Currency Trading**: ₹0 (Free)
- **Commodity Trading**: ₹0 (Free)
### Other Charges
- **Call and Trade Charges**: ₹0 (Free)
- **DP Charges**: ₹13 per debit transaction
- **API Charges**: Free access
## FAQs for FlatTrade
1. **Who is the owner of FlatTrade?**
The owner of FlatTrade is Mr. K. Narayana Moorthy.
1. **What are the charges in FlatTrade?**
FlatTrade operates with a zero brokerage model, meaning no brokerage fees are charged for trades across all segments. Additional charges may apply, such as DP charges of ₹13 per debit transaction.
1. **Is FlatTrade reliable and safe to use?**
Yes, FlatTrade is considered a reliable and safe broker that adheres to regulatory standards and provides secure trading platforms.
1. **Is FlatTrade a zero brokerage platform?**
Yes, FlatTrade offers zero brokerage on all transactions, making it a cost-effective choice for traders.
1. **How do I withdraw money from FlatTrade, and what is the withdrawal timing?**
You can withdraw funds from FlatTrade by logging into your account, navigating to the 'Funds' section, and placing a withdrawal request.
1. **How can I calculate the brokerage fee in FlatTrade?**
Use the **FlatTrade brokerage calculator** available on their website to estimate the cost of your trades.
1. **Does FlatTrade offer a free API, and how can I get the API key?**
Yes, FlatTrade provides free API access. You can obtain the API key by contacting FlatTrade customer care or visiting their website.
1. **What is the customer base of FlatTrade?**
FlatTrade serves a growing number of retail and institutional clients across India, providing a cost-effective trading solution.
1. **What is the work of the FlatTrade back office?**
The FlatTrade back office manages client records, transactions, and settlements, providing essential support services to ensure smooth trading operations.
1. **How does FlatTrade compare with Generic Broker in terms of brokerage fees and features?**
While Generic Broker charges a flat fee per trade, FlatTrade offers zero brokerage, making it more cost-effective for frequent traders. The choice between them depends on individual preferences and trading needs.
:::
---
// File: broker/fyers
# Fyers | Algo Trading
## Fyers Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Infinite Broker](https://infinitebroker.com/stock-broker/fyers/review/)
:::info
### **Fyers Account Opening Link**
[https://signup.fyers.in/](https://signup.fyers.in/)
### **Fyers Trading Terminal Link**
[https://trade.fyers.in/](https://trade.fyers.in/)
### **Fyers API Portal Link**
[https://myapi.fyers.in/](https://myapi.fyers.in/)
### **Fyers Brokerage and Charges**
[https://fyers.in/pricing/](https://fyers.in/pricing/)
### **Fyers Customer Support**
[https://fyers.in/contact-us/](https://fyers.in/contact-us/)
### **Fyers API Cost**
Free
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What You’ll Need For Fyers Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Fyers Account
You need to have an active Demat account in Flattrade. If you don’t have an account,[ Open a demat account in Fyers](https://signup.fyers.in/?utm-source=AP-Leads\&utm-medium=AP1977) . Make sure to activate F\&O on your account.
## Connecting Fyers with AlgoTest
- Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Login your account. Click on the profile icon at the top right and select Broker Setup.
- Click on the setup button located on the right side of FlatTrade.
- To add Fyers broker in AlgoTest, we require App ID and Secret ID. To obtain these, we need to create an API App in Fyers API Portal. To achieve this, We should copy Redirect URL as shown in the image below. We will use this Redirect URL while creating API in Fyers API Portal.
- For APP ID and Secret ID, go to [https://myapi.fyers.in/](https://myapi.fyers.in/) and login with your fyers account credentials. Click on Dashboard and click on Create App.
- Enter App Name as "AlgoTest" . Paste Redirect URL that we copied from AlgoTest broker setup page in “Redirect URL” field. Leave the Description field blank.
Note :- You can enter any random name in App Name, App Short Name.
- Click on 3 dots and click on delete to delete the Webhook URL
- Tick all the options under the Permission tab. Click on the Create App button.
- The API App has been created successfully. Currently, the status of our App is inactive. It will take around 24 working hours for it to become active. Once it becomes active, you can copy the API ID from here and paste it into the AlgoTest broker setup page, which is illustrated in the image below.
- We have successfully added Fyers broker to our AlgoTest Account. Now we just have to login to Fyers broker in AlgoTest. To log in, click on the Login button.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Once logged in, the system will display a status message confirming your login status, as shown in the image below.
## Fyers: An Overview
**Fyers** is a fast-growing discount brokerage firm in India, known for its user-friendly trading platforms, transparent pricing, and advanced trading tools. The name "Fyers" stands for **"Focus Your Energy and Reform the Self,"** reflecting the company's mission to empower traders and investors. Fyers offers a wide range of trading and investment services across multiple asset classes, including equities, derivatives, commodities, and currencies.
The platform is accessible through the **Fyers web login**, mobile app, and API, providing a seamless trading experience for both new and experienced traders. Fyers is recognized for its competitive brokerage charges, robust customer support, and innovative tools like the **Fyers brokerage charges calculator** and **Fyers API documentation** for algorithmic trading.
### What You Can Do with Fyers
- **Open a Trading and Demat Account**: Begin trading in equities, derivatives, commodities, and currencies by opening a Fyers trading and Demat account.
- **Utilize Advanced Trading Platforms**: Access Fyers' web and mobile platforms, which feature real-time market data, advanced charting, and trading tools.
- **Calculate Brokerage and Other Charges**: Use the **Fyers brokerage calculator** and **charges calculator** to determine trading costs and optimize your strategies.
- **Leverage API Access**: Use the **Fyers API** for automated trading and integration of custom trading strategies.
- **Compare Brokers**: Understand how **Fyers compares to Generic Broker or Upstox** to choose the best broker for your needs.
### Fyers Charges
#### Account Opening Charges
- **Trading Account Opening Fee**: ₹0 (Free)
- **Demat Account Opening Fee**: ₹0 (Free)
#### Annual Maintenance Charges (AMC)
- **Demat Account AMC**: ₹300 per annum
#### Brokerage Charges
- **Equity Delivery**: ₹0 (Free)
- **Equity Intraday**: Flat ₹20 per order or 0.03% (whichever is lower)
- **Futures & Options (F\&O)**: Flat ₹20 per order
- **Currency Trading**: Flat ₹20 per order
- **Commodity Trading**: Flat ₹20 per order
#### Other Charges
- **DP Charges**: ₹13.5 per debit transaction
- **API Charges**: Free for API access (Please check the request limits and activation procedure)
- **Call and Trade Charges**: ₹50 per call
## FAQs for Fyers
1. **Is Fyers better than Generic Broker?**
The choice between Fyers and Generic Broker depends on individual trading needs. Fyers offers competitive brokerage, advanced trading tools, and a user-friendly platform, while Generic Broker is known for its simplified trading experience and extensive market reach.
1. **Can Fyers be trusted?**
Yes, Fyers is a SEBI-registered broker and is considered trustworthy, adhering to regulatory standards and providing secure trading environments.
1. **Who is the CEO of Fyers?**
The CEO of Fyers is Tejas Khoday.
1. **What are the brokerage charges in Fyers?**
Fyers charges a flat fee of ₹20 per order for intraday, F\&O, currency, and commodity trading, while equity delivery is free.
1. **Is account opening free in Fyers?**
Yes, account opening with Fyers is free, with zero charges for trading and Demat account openings.
1. **Does Fyers have hidden charges?**
Fyers is known for its transparent pricing and does not have hidden charges. However, certain transaction costs like DP charges apply.
1. **What are the disadvantages of Fyers?**
Some disadvantages may include limited offline support and certain advanced features that may not be available compared to other brokers.
1. **How do I contact Fyers customer support?**
You can contact Fyers customer support via their customer care number, email, or through the support section on their website.
1. **Does Fyers provide free API, and how reliable is it?**
Yes, Fyers provides free API access, which is reliable for automated and algorithmic trading. You can activate the API by contacting their support or visiting their website.
1. **How to raise a support ticket in Fyers?**
To raise a support ticket, log in to the Fyers platform, navigate to the support section, and fill out the ticket form with your query or issue.
:::
---
// File: broker/genericbroker
# Generic Broker
## Generic Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease. **This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek) > **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/)
:::
## What You’ll Need For Generic Broker Algo Trading
### AlgoTest Account
You must have an AlgoTest account. If you don't have one, click [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) to create it.
### Generic Broker API
You need to activate Generic Broker's API through their developer portal. It's FREE!
## Connecting Generic Broker with AlgoTest
- To begin, visit [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) and click on your profile icon. From there, select "broker setup" to proceed.
- Now click on the setup after finding Unlisted Broker (search Kite to set it up).
- To connect Generic Broker with [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest), we need an API Key and API Secret. In order to obtain these, we will create an App in the Generic Broker Developer Portal. To get started, simply copy the redirect URL using the copy icon as shown below. This URL will be used while creating your API App in the Generic Broker Developer Portal in the next steps.
[Click here for the URL to make an app](https://developers.kite.trade/apps)
- To activate the Generic Broker Trading API, we need to access the Generic Broker developer portal. To do this, open a new tab in your browser and click on this link to open the Generic Broker Developer Portal. Next, click on the "signup" button to create an account, and then login the account.
:::note
The Generic Broker Developer Portal is a separate account from the Generic Broker Pvt Ltd terminal. You cannot use the Generic Broker terminal client ID password here. Therefore, you must create a new account here and log in.
:::
- Generic Broker is FREE!
- To proceed, first select "Personal" and then enter a random name in the "App Name" field. Next, paste the Redirect URL that we copied in step 3 from the AlgoTest broker setup page into the "Redirect URL" box. Enter your Generic Broker Client ID in the "Client ID" box, leaving the "Postback URL" field blank. In the "Description" box, enter any random description. Finally, click on "Create".
- Your API has been created. Click on My Apps and select your API to view API Secret and API Key.
- We need to copy the API key and Secret key from the above page.
- Copy and paste the API key and secret into the AlgoTest broker setup page.
- We have successfully added Generic Broker to our AlgoTest Account. Now we just have to login to Generic Broker in AlgoTest. To log in, click on the Login button and enter your Generic Broker username, password and TOTP.
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
### What You Can Do with Generic Broker
- **Access Real-Time Market Data**: Use the Generic Broker to fetch real-time market data, historical data, and other financial information required to make informed trading decisions.
- **Build Custom Trading Platforms**: Developers can use Generic Broker and other programming languages to create custom trading applications, tools, and platforms.
- **Execute Algorithmic Trading Strategies**: Integrate Generic Broker with your algorithmic trading models to automate trading based on pre-defined strategies.
- **Manage Orders and Portfolios**: With Generic Broker, you can manage orders, track your portfolio, and perform complex trading operations seamlessly.
### Generic Broker Pricing
Generic Broker is a paid service, offering access to Generic Broker Pvt Ltd's robust trading infrastructure. Below are the details:
#### Generic Broker API Pricing
- **Basic Plan**: FREE
#### Generic Broker API Free Trial
- Generic Broker offers a limited-time free trial for developers to explore the features and functionalities of the Generic Broker API.
## FAQs for Generic Broker
1. **What is the use of Generic Broker?** Access Generic Broker Pvt Ltd's trading infrastructure through APIs, allowing users to build custom trading platforms, perform algorithmic trading, fetch market data, and manage portfolios.
2. **Is Generic Broker free?** No, Generic Broker is not free. It is a paid service with subscription plans starting at ₹2000 per month. However, Generic Broker offers a free trial for new users.
3. **How to get the Generic Broker API?** To get the Generic Broker API, you need to sign up on the Generic Broker developer console and subscribe to the Generic Broker API plan. Once subscribed, you can access the API keys and start integrating with your applications.
4. **How do I log in to Generic Broker?** You can log in to Generic Broker Pvt Ltd using your Generic Broker credentials through the API, which will authenticate your requests and provide access to the trading functions.
5. **Is Generic Broker API free?** The **Generic Broker API** is a paid service, but it offers a free trial for developers to explore the API's features.
6. **What are Generic Broker?** Generic Broker APIs are a set of REST-like HTTP APIs provided by Generic Broker that allow users to interact programmatically with their trading accounts, fetch market data, and execute trades.
7. **How to use the API in Generic Broker?** To use API in Generic Broker, sign up for the API service, generate your API key, and follow the Generic Broker documentation to integrate the API with your application. You can use languages like Python to interact with the API.
---
// File: broker/groww
# Groww | Algo Trading
## Groww Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Groww](https://groww.in)
## What You’ll Need For Algo Trading with Groww
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Groww Account
You need to have a Demat account with Groww. If you don't have an account, [create an account on Groww here](https://groww.in/futures-and-options). Make sure to activate F\&O on your account.
## Connecting Groww with AlgoTest
Go to [AlgoTest](https://algotest.in), login to your account. Click on the Broker Setup at the top right.
You’ll see a dashboard as shown below. Put "Groww” in the search bar.
You will see the option to set up “Groww” as shown in the image. Click on the setup.
You will be directed to the page shown in the image below. Now, add the name for this API connection and add your Client ID. Click on “Add Groww”.
To find the Client ID, follow these steps:
1. Go to this [link](https://groww.in/user/profile/basic-details) and copy your unique client code.
2. Enter your client code in the field here.
Once you are done, click on Setup.
You have successfully added Groww broker to your AlgoTest Account.
## Note: Multi-API is supported.
## About Groww Broker
#### Overview
Groww is a Bengaluru‑based digital brokerage and investment platform started in 2016. It serves over 13 million active retail clients, offering stock, F\&O, mutual fund, ETF, IPO, and digital gold investments—all via intuitive web and mobile interfaces.
#### What You Can Do with Groww on AlgoTest
- Connect your Groww Trading API to AlgoTest for fully automated execution
- Backtest and deploy equity, intraday, futures, and options strategies
- Access real-time market data and historical feeds via Groww API
- Manage orders, positions, margin, and portfolios in AlgoTest dashboards
- Run strategies 24×7 in live or virtual mode
#### Groww Trading API
- Uses OAuth 2.0 for secure authentication; tokens expire daily
- Supports endpoints for market data, order placement/modification, portfolio & margin APIs
- Generally, it's priced at ₹499 + tax/month (flat API subscription) but with AlgoTest, it's FREE!
#### Brokerage Charges
- **Equity Delivery:** ₹20 *or* 0.05% per order (whichever is lower)
- **Equity Intraday:** ₹20 *or* 0.05% per order; penalty ₹50+GST if not squared off before 3:20 PM
- **Futures & Options:** Flat ₹20 per executed order
- **Depository Charges:** ₹16.5 + CDSL/NSDL + GST per sales transaction
- **Statutory Fees:** STT, stamp duty, exchange, SEBI, IPF charges, and GST as per regulatory frameworks
> Groww raised brokerage fees by \~150% on low-value trades in May 2025 to improve profitability.
#### FAQs
**1. Who can use Groww’s API?** Anyone with a Groww account can subscribe for ₹499 + taxes/month to unlock API trading.
**2. What segments are available?** Equity, intraday, futures, options, margin trading, and historical & live data are fully supported.
**3. How do I get API access?** In Groww’s profile → Settings → Trading APIs → Generate access token (expires daily at 6 AM).
**4. Is AlgoTest integration mobile‑friendly?** Yes, AlgoTest supports Groww across both web and mobile platforms.
**5. Can I run multiple strategies simultaneously?** Yes – AlgoTest allows simultaneous live deployment and full performance tracking.
**6. What if I don’t square off intraday positions by 3:20 PM?** You'll incur ₹50 + GST per open position, auto‑square‑off applies.
---
// File: broker/iifl
# IIFL | Algo Trading
## IIFL Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
::::info
### IIFL on AlgoTest
**IIFL Account Offer for AlgoTest users:**
**Benefits:**
- *Discounted Brokerage - **Rs.4/Lot** or **Rs.20/order***
- *No API Fees*
- *Can Buy Deep ITM or Far OTM Options in NRML*
- *No Cash/Cash equivalent required for Intraday trades. Can entirely be done on pledged margin*
- *Exchange charges as per actual discounted rate of NSE (Rs 3500/Cr approx)*
### **IIFL Referral Link**
[https://cutt.ly/mMMmfrn](https://cutt.ly/mMMmfrn)
:::note
Plan is activated by us. So please inform us after F\&O activation on telegram:- [https://telegram.me/AlgoTest\_Support\_Sahil](https://telegram.me/AlgoTest_Support_Sahil)
:::
::::
### **IIFL Account Opening Link**
[https://cutt.ly/mMMmfrn](https://cutt.ly/mMMmfrn)
### **IIFL Blaze TradingTerminal**
[https://ttblaze.iifl.com/](https://ttblaze.iifl.com/)
### **IIFL Blaze API Portal**
[https://ttblaze.iifl.com/dashboard#!/login](https://ttblaze.iifl.com/dashboard#!/login)
### **IIFL Customer Support**
[https://www.indiainfoline.com/contactus](https://www.indiainfoline.com/contactus)
### **IIFL API Charges**
**Free**
***
Enjoy discount on brokerages with IIFL on [AlgoTest.](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) :::
::::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What You’ll Need For IIFL Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### IIFL Account
You need to have an active Demat account in IIFL. If you don’t have an account, [create an account on IIFL](https://cutt.ly/mMMmfrn). Make sure to activate F\&O on your account. You can check the status of F\&O in your IIFL account in TTWeb Terminal. To check status, login and Go to [Dashboard](https://ttweb.indiainfoline.com/Trade/Dashboard.aspx) -> My Account -> My Details -> Trading Preference
### IIFL Blaze Terminal
You need to have IIFL Blaze Terminal activated on your IIFL demat account.
## Blaze Terminal and Blaze API Activation
- To activate Blaze Terminal on your IIFL account, first you need to request Blaze Terminal and API activation at [ttblazesupport@iifl.com](mailto\:ttblazesupport@iifl.com) from your registered Email ID. Make sure to mention Your Client ID, Name, Mobile Number, Email ID, PAN Number, Date of Birth, city and Email ID as shown in the image below.
- You will get Blaze Terminal ID Password on mail within 24 working hours. Now go to [https://ttblaze.iifl.com/](https://ttblaze.iifl.com/) and login using the ID Password that you got on mail.
- Now our Blaze Trading Terminal is successfully logged in. Now we need to Activate API on Blaze XTS API Portal. Go to [https://ttblaze.iifl.com/dashboard#!/login](https://ttblaze.iifl.com/dashboard#!/login) and click on create new account.
:::note
IIFL Blaze Trading Terminal is a trading terminal where you can manage your Algo position or can execute manually. IIFL XTS API Portal is used to create and manage API.
:::
::::
- Enter all the required information and in user id enter the client ID that you use in XTS Trading Terminal. In the password field, you can enter any random password. Click on Signup.
- We have successfully created an account on Blaze API Portal. Login on API Portal using this link [https://ttblaze.iifl.com/dashboard#!/login](https://ttblaze.iifl.com/dashboard#!/login)
- Now we need to create 2 API Apps on API Portal.
- Interactive Order API
- Market Data API
- Now click on My app, then create a new application. It will ask for validation. Enter the ID Password that you use for Blaze Trading Terminal. After validation is completed, click on create new application.
- First we are creating an Interactive Order API. So enter a random name in App name, a random description in API Description box and select Interactive Order API and click on Create New Application button.
- Now you will see an Interactive Order API is created as shown below.
- Now we have to create a Market Data API. To create a Market Data API, click on My App and then click on create new application.
- Now enter a random name in App name, a random description in API Description box and select Market Data API and click on Create New Application button.
- Now you can see that there are 2 API apps created on API Dashboard. They are showing Inactive status. They will be active within 24 working hours.
- Once the status shows active, we just have to copy API Key and API Secret from Interactive Order and Market Data and paste that into AlgoTest Broker Setup Page.
## Connecting IIFL with AlgoTest
- To connect IIFL with AlgoTest, go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Click on the profile icon at the top right and select Broker Setup.
- Click on the setup icon located on the right side of the IIFL.
- Copy the API Key and API Secret from Interactive Data API from Blaze API Dashboard and paste it into AlgoTest as shown in the image.
- Now copy the API Key and API Secret from Market Data API in XTS API Dashboard and paste it into algotest as shown in the image and click on Add AC Aggarwal.
- We have successfully added IIFL Broker to our AlgoTest Account. Now we just have to login to Wisdom Capital in AlgoTest. To log in, click on the Login button.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
## IIFL Securities: An Overview
**IIFL Securities**, part of the India Infoline Group, is one of India's leading full-service brokerage firms. The company offers a wide range of financial services, including equity, derivatives, commodities, currency trading, mutual funds, IPOs, and personal finance solutions such as loans and insurance. With a strong presence in the market, IIFL Securities is recognized for its robust trading platforms like the **IIFL Trader Terminal** and comprehensive customer support.
The platform offers both web and mobile trading access, allowing clients to manage their investments seamlessly. IIFL Securities provides advanced tools, research reports, and a variety of investment products tailored to meet the needs of both retail and institutional investors.
### What You Can Do with IIFL Securities
- **Open a Trading and Demat Account**: Start trading in multiple segments, including equities, derivatives, commodities, and currencies by opening an account with IIFL Securities.
- **Use the IIFL Trader Terminal**: Access the **IIFL Trader Terminal** for real-time data, advanced charting, and various trading tools.
- **Invest in Mutual Funds and IPOs**: Diversify your portfolio by investing in mutual funds and initial public offerings (IPOs).
- **Get Personalized Research and Advisory**: Leverage IIFL's in-depth research reports, market insights, and personalized advisory services to make informed investment decisions.
- **Manage Your Credit Profile**: Use the **IIFL CIBIL Score** feature to check and manage your credit score.
### IIFL Securities Charges
#### Account Opening Charges
- **Trading Account Opening Fee**: ₹0 (Free)
- **Demat Account Opening Fee**: ₹0 (Free)
#### Annual Maintenance Charges (AMC)
- **Demat Account AMC**: ₹250 per annum
#### Brokerage Charges
- **Equity Delivery**: 0.25% per order
- **Equity Intraday**: 0.05% per order
- **Futures**: ₹20 per order
- **Options**: ₹20 per lot
- **Currency and Commodity Trading**: ₹20 per order
#### Other Charges
- **Call and Trade Charges**: ₹50 per call
- **DP Charges**: ₹13.5 per debit transaction
## FAQs for IIFL Securities\*\*
1. **What is the full form of IIFL?**
IIFL stands for **India Infoline Finance Limited**.
1. **Is IIFL a trusted company?**
Yes, IIFL is a trusted financial services company in India with a strong reputation for its comprehensive brokerage services and robust customer support.
1. **Is IIFL Securities a good company for trading?**
Yes, IIFL Securities is considered a good company for trading due to its wide range of services, advanced trading platforms, and extensive research offerings.
1. **What are the charges for IIFL Securities?**
IIFL Securities charges 0.25% per order for equity delivery, 0.05% per order for equity intraday, and ₹20 per order for futures, options, currency, and commodity trading.
1. **Who is the owner of IIFL Group?**
IIFL Group was founded by Nirmal Jain, who currently serves as the chairman.
1. **How do I connect to IIFL customer care?**
You can contact IIFL customer care via their toll-free number, email, or WhatsApp for any queries or support.
***
Customer care number for IIFL is - 1860-267-3000 / 7039-050-000.
1. **What is IIFL Trader Terminal?**
The **IIFL Trader Terminal** is a trading platform offered by IIFL Securities that provides real-time market data, advanced charting tools, and various trading features.
1. **Is IIFL RBI approved?**
Yes, IIFL is registered with SEBI and is also a Non-Banking Financial Company (NBFC) registered with the RBI.
1. **What is the future of IIFL?**
IIFL continues to expand its services and reach, leveraging technology and innovation to cater to a broader audience of investors and traders.
1. **What is the WhatsApp loan number for IIFL?**
You can reach IIFL's loan services via WhatsApp at +91-9892691696.
---
// File: broker/indirasecurities
# Indira Securities | Algo Trading
## Indira Securities Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Indira Securities](https://www.indiratrade.com)
## What You’ll Need For Algo Trading with Indira Securities
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Indira Securities Account
You need to have a Demat account with Indira Securities. If you don't have an account, [create an account on Indira Securities here](https://www.indiratrade.com). Make sure to activate F\&O on your account.
## Connecting Indira Securities with AlgoTest
Go to [AlgoTest](https://algotest.in), login to your account. Click on the Broker Setup at the top right.
You’ll see a dashboard as shown below. Put "Indira Securities” in the search bar.
You will see the option to set up “Indira Securities” as shown in the image. Click on the setup.
You will be directed to the page shown in the image below. Now, add:
- the name for this API connection
- You are required to send a request for API activation and shifting account ID to Symphony XTS. [Read Open XTS doc](https://docs.algotest.in/open-xts/) to know more.
Once you are done, click on Setup.
You have successfully added Indira Securities broker to your AlgoTest Account.
***
## About Indira Securities Broker
#### Overview
Indira Securities is a SEBI-registered full-service brokerage with decades of experience in equities, commodities, derivatives, and depository services. They are known for their personalized service and strong research desk.
#### What You Can Do with Indira Securities on AlgoTest
- Trade equity and F\&O strategies using AlgoTest’s no-code automation
- Backtest strategies using historical data
- Deploy strategies live into your Indira account
- Track performance and adjust trades in real time
#### Brokerage Charges
Indira Securities uses a flat pricing structure:
- **Equity Delivery:** ₹0
- **Equity Intraday:** ₹20 per order
- **Equity Futures:** ₹20 per order
- **Equity Options:** ₹20 per order
> Contact Indira Securities directly for confirmation on pricing and plans.
#### FAQs
**1. Does Indira support API-based trading?** Yes, Indira Securities provides API access upon request for algo trading.
**2. What segments are supported on AlgoTest?** Equity, futures, and options are supported.
**3. Can I automate trades without coding knowledge?** Yes, AlgoTest allows no-code strategy building and automation.
**4. Is there any cost to enable API access?** It may depend on your brokerage plan. Please check with Indira support.
---
// File: broker/infinn
# Infinn | Algo Trading
## Infinn Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Infinn](https://infinn.in)
## What You’ll Need For Infinn Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Infinn Account
You need to have a Demat account with Infinn. If you don't have an account, [create an account on Infinn here](https://infinn.in). Make sure to activate F\&O on your account.
## Connecting Infinn with AlgoTest
Go to [AlgoTest](https://algotest.in), login to your account. Click on the Broker Setup at the top right.
You’ll see a dashboard as shown below. Put "Infinn" in the search bar.
You will see the option to set up “Infinn” as shown in the image. Click on the setup.
You will be directed to the page shown in the image below. Now, add the name for this API connection and add your Infinn Client ID.
***
## About Infinn Broker
### Overview
INFINN is a modern technology-driven brokerage platform offering trading and investing infrastructure for retail and professional users. It emphasises low-cost trading, API accessibility for algorithmic/automated strategies, and web/mobile interfaces to support equities, derivatives, and custom integration.
#### What You Can Do with Infinn on AlgoTest
- Connect your Infinn trading account to AlgoTest
- Automate equity and derivatives strategies without writing code
- Backtest and optimize strategies using historical data
- Track trades, monitor performance, and make real-time adjustments
#### Brokerage Charges
INFINN uses a flat/percentage hybrid model according to its published pricing:
- **Equity Delivery:** 0.3% *or* ₹20 per executed order, whichever is lower. (\[infinn.in]\[1])
- **Equity Intraday / Futures / Options:** 0.03% *or* ₹20 per executed order, whichever is lower. (\[infinn.in]\[1])
> Note: Taxes, statutory charges, and platform fees may apply. Please confirm current pricing directly with INFINN.
#### FAQs
**1. What market segments are supported through AlgoTest?** Equity delivery, intraday, futures, and options segments are supported.
**2. Do I need coding skills to use AlgoTest with Prudent?** No, AlgoTest offers a no-code interface for creating and deploying strategies.
**3. Can I run multiple strategies at once?** Yes, you can deploy, manage, and monitor multiple strategies simultaneously through AlgoTest’s dashboard.
Here’s a draft for INFINN (via HKKR Finserv Pvt Ltd.) in the same style as your “Arham Wealth” section. You can adjust wording or numbers as needed.
---
// File: broker/jainam-retail
# Jainam (XTS Retail) | Algo Trading
## Jainam (XTS Retail) Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Jainam](https://jainam.in/)
:::info
### **Jainam Web Trading Terminal**
[https://online.jainam.in/Aero/login](https://online.jainam.in/Aero/login)
### **Jainam Customer Support**
[https://jainam.in/Home/ContactUs](https://jainam.in/Home/ContactUs)
:::
::::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What You'll Need For Jainam Retail Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don't have an AlgoTest account, you can create it by clicking on [this link.](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest)
### Jainam (XTS Retail) Demat Account
You need to have an active Demat account in demat account in Jainam. If you don't have an account, [click here to open an account in Jainam](https://jainam.in/Home/#open_an_account_home).
***
Make sure to activate F\&O on your account.
## Connecting Jainam (XTS Retail) with AlgoTest
- Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Login your account. Click on the profile icon at the top right and select Broker Setup.
- Click on the setup icon located on the right side of the Jainam (XTS Retail)
- We need these things to add Jainam Broker in AlgoTest.
- Market Data API Key,
- Market Data Secret Key,
- Interactive Data API Key and
- Interactive Data API Secret
***
- To get these API Keys and API Secrets, activate Symphony XTS API on your account. To activate Symphony API, create a ticket through Smart Delta Web in API. Include the following details in the ticket.
1. Name of Client
2. Mobile Number
3. Email ID
4. Client Code
5. Branch Code
:::note
If the contact person is different, mention their Name and Mobile Number.
:::
::::
- After getting the Market Data API Key, Market Data Secret Key, Interactive Data API Key and Interactive Data API Secret paste them in the AlgoTest broker setup page and click on Add Jainam (XTS Retail).
- We have successfully added Jainam (XTS Retail) broker to our AlgoTest Account. Now we just have to login to the Jainam account in AlgoTest. To log in, click on the Login button.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Once you are logged in, the system will display a status message confirming your login status.
---
// File: broker/jainamduck
# Jainam Duck | Algo Trading
## Jainam Duck Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [X.com](https://pbs.twimg.com/media/FxdXgFFaMAEAPoI.jpg)
:::info
### **Jainam Duck Account Opening Link**
[https://duck.jainam.in/OpenAnAccount](https://duck.jainam.in/OpenAnAccount)
### **Jainam Duck Trading Terminal**
[https://spark.jainam.in/](https://spark.jainam.in/)
### **Jainam Duck Brokerage & Charges**
[https://duck.jainam.in/Pricing](https://duck.jainam.in/Pricing)
### **Jainam Customer Support**
+919512980091, +916355105543
### **Jainam API Charges**
Free
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What You’ll Need For Jainam Duck Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Jainam Duck Demat Account
You need to have an active Demat account in Jainam Duck. If you don’t have an account, [open a demat account in Jainam Duck](https://duck.jainam.in/OpenAnAccount) . Make sure to activate F\&O on your account.
## Connecting Jainam Duck with AlgoTest
- Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Login your account. Click on the profile icon at the top right and select Broker Setup.
- Click on the setup icon located on the right side of the Jainam (Duck)
- Enter your Jainam Duck Spark Client ID and click on Add Jainam (Duck). You can locate Client ID in the profile section of your Jainam Duck account.
- We have successfully added Jainam Duck broker to our AlgoTest Account. Now we just have to login to the Jainam Duck account in AlgoTest. To log in, click on the Login button. After clicking the button, you will be taken to the Jainam Duck broker login page where you can enter your login credentials.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
## Jainam Duck Broking: An Overview
**Jainam Broking Limited** is a stock brokerage firm based in Rajkot, India, providing a range of financial services, including equity, derivatives, currency trading, and investment advisory. Jainam Broking is known for its customer-centric approach, offering personalized services, in-depth market research, and a robust trading platform. The firm caters to both retail and institutional investors, helping them achieve their financial goals through informed trading and investment strategies.
Jainam Broking offers seamless access to the stock market via its web and mobile trading platforms. Additionally, the broker provides a **back-office login** feature for clients to manage their accounts, access transaction details, and track their portfolios.
### What You Can Do with Jainam Broking
- **Open a Trading and Demat Account**: Start trading in equities, derivatives, and currencies by opening an account with Jainam Broking.
- **Utilize Advanced Trading Tools**: Use Jainam's web and mobile platforms for real-time market data, advanced charting, and analysis.
- **Access Personalized Investment Advisory**: Benefit from Jainam's market research and personalized advisory services to make informed investment decisions.
- **Manage Your Portfolio**: Use the **Jainam Broking back office login** to track your transactions, access statements, and manage your portfolio.
- **Contact Customer Support**: Reach out to Jainam Broking's customer care for any queries or assistance.
### Jainam Duck Broking Charges
#### Account Opening Charges
- **Trading Account Opening Fee**: ₹0 (Free)
- **Demat Account Opening Fee**: ₹0 (Free)
#### Annual Maintenance Charges (AMC)
- **Demat Account AMC**: ₹300 per annum
#### Brokerage Charges
- **Equity Delivery**: 0.20% per order
- **Equity Intraday**: 0.02% per order
- **Futures**: ₹20 per order
- **Options**: ₹20 per lot
- **Currency Futures & Options**: ₹20 per order
#### Other Charges
- **Call and Trade Charges**: ₹20 per call
- **DP Charges**: ₹13.5 per debit transaction
- **Pledge Creation Charges**: ₹20 per ISIN
### FAQs for Jainam Broking
1. **Who is the owner of Jainam Broking?**
Jainam Broking is owned by Milan Parikh.
1. **What is the net worth of Jainam Broking?**
Adjusted networth (adjusted for pre-paid expenses, receivables above six months and equity investments) was Rs 329.8 crore as on March 31, 2022, doubling from Rs 151.1 crore a year earlier.
1. **What does Jainam Broking do?**
Jainam Broking provides stock brokerage services, including equity, derivatives, currency trading, and investment advisory.
1. **How do I contact Jainam Broking?**
You can contact Jainam Broking customer care via their contact number or email for any queries or support.
1. **Who is the CEO of Jainam Broking?**
The CEO of Jainam Broking is Milan Parikh.
1. **What is the profile of Jainam Broking Limited?**
Jainam Broking Limited is a stock brokerage firm offering trading and investment services across various asset classes with a focus on customer satisfaction and personalized advisory.
1. **Is Jainam Broking affiliated with CDSL or NSDL?**
Jainam Broking is affiliated with CDSL.
1. **Who are the directors of Jainam Broking?**
The directors of Jainam Broking include Milan Parikh.
1. **What is the share price of Jainam Broking Limited?**
The share price of Jainam Broking Limited can be checked on the NSE or BSE or via their website.
:::
---
// File: broker/jainamxts
# Jainam (XTS Dealer) | Algo Trading
## Jainam (XTS Dealer) Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Jainam](https://jainam.in/)
:::info
### **Jainam Web Trading Terminal**
[https://online.jainam.in/Aero/login](https://online.jainam.in/Aero/login)
### **Jainam Customer Support**
[https://jainam.in/Home/ContactUs](https://jainam.in/Home/ContactUs)
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What You’ll Need For JainamXTS Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Jainam (XTS Dealer) Demat Account
You need to have an active Demat account in demat account in Jainam. If you don’t have an account,[ Click here to open an account in Jainam](https://jainam.in/Home/#open_an_account_home) . Make sure to activate F\&O on your account.
## Connecting Jainam (XTS Dealer) with AlgoTest
- Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Login your account. Click on the profile icon at the top right and select Broker Setup.
- Click on the setup icon located on the right side of the Jainam (XTS Dealer)
- We need Market Data API Key, Market Data Secret Key, Interactive Data API Key and Interactive Data API Secret to add Jainam Broker in AlgoTest.
- To get these API Keys and API Secrets, activate Symphony XTS API on your account. To activate Symphony API, create a ticket through Smart Delta Web in API. Include the following details in the ticket.
- Name of Client
- Mobile Number
- Email ID
- Client Code
- Branch Code
Note :- If the contact person is different, mention their Name and Mobile Number.
- After getting the Market Data API Key, Market Data Secret Key, Interactive Data API Key and Interactive Data API Secret paste them in the AlgoTest broker setup page and click on Add Jainam (XTS Dealer) as shown in the image below.
- We have successfully added Jainam (XTS Dealer) broker to our AlgoTest Account. Now we just have to login to the Jainam account in AlgoTest. To log in, click on the Login button.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
:::
---
// File: broker/jmfinancials
# JM Financials | Algo Trading
## JM Financials Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Moneycontrol](https://images.moneycontrol.com/static-mcnews/2020/07/JM-FINANCIAL-MUTUAL-FUND.jpg?impolicy=website\&width=1600\&height=900)
:::info
### **JM Financials Account Opening Link**
[https://signup.jmfonline.in/open-account](https://signup.jmfonline.in/open-account)
### **JM Financial Web Trading Terminal**
[https://blinktrade.jmfinancialservices.in/userMaster/login](https://blinktrade.jmfinancialservices.in/userMaster/login)
### **Jainam Customer Care**
[https://www.jmfinancialservices.in/customer-corner/get-in-touch/contact-us](https://www.jmfinancialservices.in/customer-corner/get-in-touch/contact-us)
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What You’ll Need For JMFinancials Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### JM Financials Demat Account
You need to have an active Demat account in JM Financials. If you don’t have an account, [Open a demat account in JM Financials](https://signup.jmfonline.in/open-account) . Make sure to activate F\&O on your account.
## Connecting JM Financials with AlgoTest
- Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Login your account. Click on the profile icon at the top right and select Broker Setup.
- Click on the setup icon located on the right side of the JM Financials
- We need Market Data API Key, Market Data Secret Key, Interactive Data API Key and Interactive Data API Secret to add JM Financial Broker in AlgoTest.
- To get these API Keys and API Secret you need to activate Symphony XTS on your account. To activate Symphony XTS you need to connect with your RM (Relationship Manager). Your RM will help you in providing these Keys. After you get Interactive API Key, Interactive API Secret, Market Data API Key and Market Data API Secret, you just have to paste these keys in the AlgoTest broker setup page as shown below.
- We have successfully added JM Financials broker to our AlgoTest Account. Now we just have to login to the JM Financials account in AlgoTest. To log in, click on the Login button.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
:::
---
// File: broker/kotakneo
# Kotak Neo | Algo Trading
import Iframe from "../../src/components/Iframe";
## Kotak Neo Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Google Play](https://play-lh.googleusercontent.com/CpJknJt8JrLZJp9-ETaYMWzqphlTNNqGSiSx05dyoGKFi18HOxM6CVp_JrpoZxrlIys)
:::info
### **Kotak Neo Account Opening Link**
[https://www.kotakneo.com/open-demat-account/](https://www.kotakneo.com/open-demat-account/)
### **Kotak Neo Web Trading Terminal**
[https://neo.kotaksecurities.com/Login](https://neo.kotaksecurities.com/Login)
### **Kotak Neo API Portal**
[https://napi.kotaksecurities.com/devportal/apis](https://www.kotakneo.com/platform/kotak-neo-trade-api/totp-registration/)
### **Kotak Neo Brokerage & Other Charges**
[https://www.kotakneo.com/pricing/](https://www.kotakneo.com/pricing/)
### **Kotak Neo Customer Support**
[https://www.kotaksecurities.com/contact-us/](https://www.kotakneo.com/contact-us/)
### **Kotak Neo API Charges**
Free
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What You’ll Need For Kotak Neo Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/register?utm_source=blogs\&utm_medium=organics\&utm_campaign=seo).
### Kotak Neo Account
You need to have an active Demat account in Kotak. If you don’t have an account, create an account on Kotak. Make sure to activate F\&O on your account.
# Kotak Neo V2 (with TOTP) Setup
### 1. API Activation
The first step to using Kotak Neo API with AlgoTest is to activate the Neo API. Follow the steps below to activate your API:
1. Login to the Kotak Neo web terminal: [https://neo.kotaksecurities.com/Login](https://neo.kotaksecurities.com/Login)
2. Once logged in, click on the **More** tab on the top menu bar.
1. On the More page, click on the **“TRADE API”** menu item.
1. On the Trade API page, click **“Create your first application”** to create a new API app.
1. A new API app will be generated with the default name **“Default Application”**, along with a **Token** under it.
- This **Token** will be required later during the Kotak account setup with AlgoTest.
> *Your API Activation step is complete. You can now move to TOTP Activation.*
### 2. TOTP Activation
1. Go to [Kotak TOTP Registration](https://www.kotaksecurities.com/platform/kotak-neo-trade-api/totp-registration)
1. Enter your registered mobile number and click **Proceed**.
1. Enter the 4-digit OTP received on your registered mobile number.
2. Select your **Client ID** and click **Continue**.
1. Select **Register TOTP** and click **Continue**.
1. A **QR Code** will appear, scan it using the **Google Authenticator** app.
2. Enter the TOTP generated by the app into the box below the QR code and click **Continue**.
> *If successful, you’ll see the message “TOTP registered successfully.”*
### 3. MPIN Setup
MPIN is required to generate the daily access token for using the API. Follow the steps below to create your account MPIN:
1. Login to the Kotak Neo web terminal — [https://neo.kotaksecurities.com/Login](https://www.kotakneo.com/open-demat-account/)
2. Click on your initials (top-right corner) → **Account Details**.
1. Scroll to the bottom of the page, find the **MPIN** section, and set up your new MPIN.
### 4. AlgoTest Setup
1. Go to broker setup on AlgoTest.
1. Add Kotak Neo in the search box.
1. While setting up Kotak Neo, you will require Connection Name & Access Token.
- Connection Name: It can be anything.
- Access Token: We created this token in the first step of API activation.
1. Go to all brokers page and locate your broker.
1. Enter the details:
- Client ID
- Registered Phone number
- TOTP
- MPIN
And click on the login with Kotak.
## Kotak Neo: An Overview
**Kotak Neo** is a [modern trading platform](https://algotest.in/blog/8-best-algo-trading-platforms-in-india-2026/) offered by Kotak Securities, designed to cater to the needs of both novice and experienced traders. It provides a seamless and efficient trading experience with access to multiple asset classes, including equities, derivatives, commodities, and currencies. **Kotak Neo** integrates advanced trading tools, real-time market data, and intuitive interfaces to ensure that users can make informed decisions and execute trades efficiently.
The platform is accessible via the **Kotak Neo web login**, desktop, and mobile applications, offering flexibility and convenience for traders. Additionally, **Kotak Neo API** allows developers to create custom trading solutions, making it a versatile choice for algorithmic trading.
### What You Can Do with Kotak Neo
- **Open and Manage Accounts**: Open a **Kotak Neo account** easily and manage your trades, investments, and portfolios through the **Kotak Neo web** and mobile platforms.
- **Access Real-Time Data and Trading Tools**: Use the advanced tools available on **Kotak Neo** to track market movements, analyze trends, and execute trades in real-time.
- **Utilize API for Automated Trading**: Leverage the **Kotak Neo API** for algorithmic trading, integrating your strategies with the platform.
- **Calculate Brokerage and Charges**: Use the **Kotak Neo brokerage calculator** and **charges calculator** to estimate trading costs and optimize your strategies.
### Kotak Neo Charges
#### Account Opening Charges
- **Trading Account Opening Fee**: ₹0 (Free)
- **Demat Account Opening Fee**: ₹0 (Free)
#### Annual Maintenance Charges (AMC)
- **Demat Account AMC**: ₹50 per month
#### Brokerage Charges
- **Equity Delivery**: ₹20 per order
- **Equity Intraday**: ₹20 per order
- **Futures & Options (F\&O)**: ₹20 per order
- **Currency Trading**: ₹20 per order
- **Commodity Trading**: ₹20 per order
#### Other Charges
- **Call and Trade Charges**: ₹50 per call
- **DP Charges**: ₹13.5 per debit transaction
- **API Charges**: Free
## FAQs for Kotak Neo
1. **What is Kotak Neo used for?**
**Kotak Neo** is used for trading in equities, derivatives, commodities, and currencies. It offers advanced trading tools, real-time data, and an intuitive interface to facilitate efficient trading.
1. **What are the charges for Kotak Neo?**
**Kotak Neo** charges ₹20 per order for equity delivery, intraday, F\&O, currency, and commodity trades. Additionally, there is a Demat AMC of ₹50 per month.
1. **Is Kotak Neo a good app?**
Yes, **Kotak Neo** is a good app for traders looking for a user-friendly platform with advanced tools and real-time market data.
1. **How to switch back from Kotak Neo to Kotak Securities?**
To switch back from **Kotak Neo** to **Kotak Securities**, contact customer care or your relationship manager for assistance with the transition.
1. **What is the customer care number of Kotak Neo?**
The **Kotak Neo customer care number** is 18602662666.
1. **Is 18602662666 a toll-free number?**
No, 18602662666 is not a toll-free number. It is a standard customer service line for **Kotak Neo**.
1. **What is Kotak Neo vs Kotak Securities?**
**Kotak Neo** is a newer, technology-driven trading platform designed for retail investors, while **Kotak Securities** offers a broader range of services, including full-service brokerage and advisory.
1. **Is intraday free in Kotak Neo?**
No, intraday trading in **Kotak Neo** is charged at ₹20 per order.
1. **How to login to Kotak Neo Web?**
To log in to **Kotak Neo Web**, visit the official **Kotak Neo** website and use your credentials to access your trading account.
1. **What is the difference between Kotak Stock Trader and Kotak Neo?**
**Kotak Neo** is a more advanced platform designed for active traders, offering enhanced tools and features compared to the **Kotak Stock Trader** app, which is more suited for basic trading needs.
1. **How to get the API key for Kotak Neo?**
To get the **Kotak Neo API key**, you need to register for API access on the **Kotak Neo** platform and follow the steps outlined in the **Kotak Neo API documentation**.
1. **What is the minimum balance in Kotak Neo account?**
**Kotak Neo** does not require a minimum balance to maintain the account, but margin requirements must be met for trading.
1. **Does Kotak Neo have zero brokerage?**
No, **Kotak Neo** charges ₹20 per order for all trades, including equity delivery and intraday.
1. **What is the AMC charge in Kotak Neo per month?**
The AMC (Annual Maintenance Charge) for a **Kotak Neo** Demat account is ₹50 per month.
1. **What is Kotak Neo Trade API?**
The **Kotak Neo Trade API** allows developers to integrate their trading algorithms and strategies with the **Kotak Neo** platform, enabling automated trading.
:::
---
// File: broker/mastertrust
# Mastertrust | Algo Trading
## Mastertrust Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [mastertrust](https://www.mastertrust.co.in/)
:::info
### **Mastertrust Account Opening Link**
[https://www.mastertrust.co.in/online/open-an-account](https://www.mastertrust.co.in/online/open-an-account)
### **Mastertrust Trading Terminal**
[https://masterswift-beta.mastertrust.co.in/](https://masterswift-beta.mastertrust.co.in/)
### **Mastertrust Brokerage & Charges**
[https://www.mastertrust.co.in/products-pricing](https://www.mastertrust.co.in/products-pricing)
### **Mastertrust Customer Care**
[https://www.mastertrust.co.in/contact-us](https://www.mastertrust.co.in/contact-us)
### **Mastertrust API Charges**
Free
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What You’ll Need For MasterTrust Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Mastertrust Demat Account
You need to have an active Demat account in Jainam Duck. If you don’t have an account, Open a demat account in Mastertrust . Make sure to activate F\&O on your account.
## Connecting Mastertrust with AlgoTest
- Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Login your account. Click on the profile icon at the top right and select Broker Setup.
- Click on the setup icon located on the right side of the Mastertrust.
- Enter your Mastertrust Client ID and click on Add Mastertrust. You can locate Client ID by clicking on the profile icon in your mastertrust account.
- We have successfully added Mastertrust as broker to our AlgoTest Account. Now we just have to login to the Mastertrust broker account in AlgoTest. To log in, click on the Login button.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
## Mastertrust Broker: An Overview
**Mastertrust** is a well-established financial services firm offering a wide range of investment and trading solutions in India. With a strong focus on customer service and transparency, Mastertrust provides services in equity, derivatives, commodities, currency trading, and more. The platform is designed to cater to both retail and institutional investors, offering tools like the **Mastertrust brokerage calculator** and **Mastertrust screener** to enhance the trading experience.
Mastertrust also offers a **refer and earn** program, allowing clients to earn rewards by referring friends and family to the platform. The broker is recognized for its competitive pricing, reliable customer support, and comprehensive trading tools.
### What You Can Do with Mastertrust
- **Open and Manage Accounts**: Start trading by opening a **Mastertrust account**, accessible via the web or mobile platforms.
- **Utilize Advanced Trading Tools**: Use the **Mastertrust screener** to filter stocks based on various criteria and the **brokerage calculator** to estimate your trading costs.
- **Earn with Refer and Earn**: Participate in the **Mastertrust refer and earn** program to earn rewards for successful referrals.
- **Contact Customer Support**: Reach out to **Mastertrust customer care** for any assistance or queries related to your account or trading activities.
### Mastertrust Brokerage Charges
#### Account Opening Charges
- **Trading Account Opening Fee**: ₹0 (Free)
- **Demat Account Opening Fee**: ₹0 (Free)
#### Annual Maintenance Charges (AMC)
- **Demat Account AMC**: ₹300 per annum
#### Brokerage Charges
- **Equity Delivery**: 0.30% per order
- **Equity Intraday**: 0.03% per order
- **Equity Futures**: 0.03% per order
- **Equity Options**: ₹75 per lot or 2.5% of premium (whichever is higher)
- **Currency Futures**: ₹20 per lot
- **Currency Options**: ₹20 per lot
- **Commodity Trading**: 0.03% per order
#### Other Charges
- **Call and Trade Charges**: ₹20 per call
- **DP Charges**: ₹15 per debit transaction
## FAQs for Mastertrust Broker
1. **How does a master trust work?**
A **master trust** is a pooled investment vehicle where funds from multiple investors are combined to be managed as a single entity. In the context of brokerage, Mastertrust acts as a platform for trading and investing in various financial instruments.
1. **Who is the owner of Mastertrust Ltd?**
Mastertrust Ltd is owned by Rajinder Kumar Singhania and H S Arora.
1. **Is Mastertrust real or fake?**
**Mastertrust** is a legitimate and SEBI-registered brokerage firm, providing regulated financial services in India.
1. **Is Mastertrust SEBI registered?**
Yes, **Mastertrust** is registered with SEBI (Securities and Exchange Board of India), ensuring compliance with regulatory standards.
1. **What is the minimum brokerage charge?**
The minimum brokerage charge with **Mastertrust** varies by segment, with charges starting at 0.03% for intraday trading and ₹75 per lot for options trading.
1. **Which brokerage has the lowest fees?**
**Mastertrust** offers competitive brokerage fees, especially in intraday and options trading, though other discount brokers may offer lower fees.
1. **How do I contact Mastertrust customer care?**
You can contact **Mastertrust customer care** via their customer care number at \[insert customer care number] or through email and online support.
1. **Is Mastertrust a discount broker?**
Yes, **Mastertrust** operates as a discount broker, offering low-cost trading solutions with a focus on technology-driven services.
1. **Is Mastertrust CDSL or NSDL?**
**Mastertrust** is affiliated with CDSL, providing depository services to its clients.
1. **How to close a Mastertrust account online?**
To close your **Mastertrust account** online, you need to submit a request through their customer support portal or contact customer care for assistance.
1. **What is Mastertrust refer and earn?**
**Mastertrust refer and earn** is a program where you can earn rewards by referring new clients to open and maintain accounts with Mastertrust.
1. **How to login to Mastertrust account?**
You can log in to your **Mastertrust account** via the official website or mobile app using your registered credentials.
1. **Which broker is best for refer and earn?**
**Mastertrust** is one of the brokers offering a lucrative **refer and earn** program, rewarding clients for successful referrals.
:::
---
// File: broker/moneysukh
# Moneysukh | Algo Trading
## Moneysukh Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Moneysukh](https://trade.mstock.com/)
## What You’ll Need For Algo Trading with Moneysukh
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Moneysukh Account
You need to have a Demat account with Moneysukh. If you don't have an account, [create an account on Moneysukh here](https://www.moneysukh.com). Make sure to activate F\&O on your account.
## Connecting Moneysukh with AlgoTest
Go to [AlgoTest](https://algotest.in), login to your account. Click on the Broker Setup at the top right.
You’ll see a dashboard as shown below. Put "Moneysukh” in the search bar.
You will see the option to set up “Moneysukh” as shown in the image. Click on the setup.
You will be directed to the page shown in the image below. Now, add the Connection Name & Unique Client Code.
#### IMPORTANT:
- Please make sure Authenticator TOTP is setup. Go to Moneysukh and make sure you have setup TOTP by generating QR Code and setting it up in Google Authenticator.
Once you are done, click on Setup.
You have successfully added Moneysukh broker to your AlgoTest Account.
## Note: Multi-API is supported.
## About Moneysukh Broker
#### Overview
Moneysukh is a financial services brand under Mansukh Securities offering equities, F\&O, mutual funds, and more. Known for its customer service and advisory support, it also supports algo trading via APIs.
#### What You Can Do with Moneysukh on AlgoTest
- Automate your equity and F\&O trades
- Use AlgoTest to deploy and manage strategies
- Run backtests and analyze performance metrics
- Connect Moneysukh account seamlessly with AlgoTest
#### Brokerage Charges
Typical pricing includes:
- **Equity Delivery:** ₹0
- **Equity Intraday & F\&O:** ₹20 per executed order
> Confirm current rates directly with Moneysukh for account-specific plans.
#### FAQs
**1. Is API trading available for retail traders?** Yes, Moneysukh enables API trading for retail users upon approval.
**2. Which asset classes are supported on AlgoTest?** Equity and equity derivatives (futures and options).
**3. Is there a mobile app for AlgoTest with Moneysukh?** Yes, AlgoTest works on both desktop and mobile platforms.
**4. Can I manage multiple strategies?** Yes, you can run and monitor multiple strategies from a single AlgoTest dashboard.
---
// File: broker/motilal-xts
# Motilal XTS | Algo Trading
## Motilal XTS info for Algo Trading
:::info
### Account Opening Link
[https://www.motilaloswal.com/open-demat-account/](https://www.motilaloswal.com/open-demat-account/)
### Motilal Oswal XTS Trading Terminal
[https://moxtsapi.motilaloswal.com:3000/#!/app](https://moxtsapi.motilaloswal.com:3000/#!/app)
### Motilal Oswal XTS API Portal Link
[https://moxtsapi.motilaloswal.com:3000/dashboard](https://moxtsapi.motilaloswal.com:3000/dashboard)
### Brokerage & Charges
[https://www.motilaloswal.com/pricing](https://www.motilaloswal.com/pricing)
### Customer Support
[https://www.motilaloswal.com/contact-us](https://www.motilaloswal.com/contact-us)
### API Charges
**Free**
:::
## What You'll Need To Connect to Motilal XTS
### AlgoTest Account
You need to have an AlgoTest account. If you don't have an AlgoTest account, you can create it by clicking on [this link.](https://algotest.in)
### Motilal Demat Account
You need to have an active Demat account in demat account in Motilal. If you don't have an account, [Click here to open an account in Motilal ](https://www.motilaloswal.com/open-demat-account/). Make sure to activate F\&O on your account.
### Motilal XTS Terminal
You need to have XTS Terminal activated on your account.
## XTS Terminal and XTS API Activation
In order to use the XTS API, you will first need to activate the XTS Terminal and XTS API on your broker account. Then, you can use the API Keys on AlgoTest to connect your broker with AlgoTest. To accomplish this, follow the simple steps provided below.
- To activate the XTS Terminal on your Motilal account, you first need to request XTS Terminal activation at [moxtsapi@motilaloswal.com](mailto\:moxtsapi@motilaloswal.com) from your registered email address. Use "XTS API Creation for AlgoTest" as the mail subject and include "Please create my XTS API with the following details:" as the mail body. Be sure to mention the client name and client ID.
- You will get XTS Terminal ID Password, XTS API Dashboard ID Password and API Keys (Interactive Order API Keys & Market Data API Keys) on mail within 24 working hours.
Note :- XTS Web Terminal is a trading terminal where you can manage your Algo position or can execute manually. XTS API Dashboard is used to create and manage API.
- After receiving our API keys from the broker via email, we will use them in AlgoTest to set up the broker. In some cases, if the broker doesn't provide you with API keys via email, you can also sign up on the [Motilal XTS API Portal](https://moxtsapi.motilaloswal.com:3000/dashboard) and create the required API manually if needed.
## Connecting Motilal XTS with AlgoTest
- Go to [AlgoTest.in](https://algotest.in). Login your account. Click on the profile icon at the top right and select Broker Setup.
- Choose the broker and then click on the "Setup" button.
- Please make sure to have the Market Data API Key, Market Data Secret Key, Interactive Data API Key, and Interactive Data API Secret on hand in order to add Motilal XTS in AlgoTest. Copy the API Keys received via email during the XTS API activation process and paste them into the corresponding fields. After that, click on the setup button as illustrated in the image below. For the connection name, feel free to enter any random name.
- We have successfully added Motilal XTS to our AlgoTest Account. Now we just have to login to the Motilal account in AlgoTest. To log in, click on the Login button. Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Once you are logged in, the system will display a status message confirming your login status.
---
// File: broker/motilaloswal
# Motilal Oswal | Algo Trading
## Motilal Oswal Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Motilal Oswal](https://cs.motilaloswal.com/Grievance/images/logo.jpg)
:::info
### **Motila Oswal Account Opening Link**
[https://www.motilaloswal.com/open-demat-account/](https://www.motilaloswal.com/open-demat-account/)
### **Motilal Oswal Trading Terminal**
[https://invest.motilaloswal.com/](https://invest.motilaloswal.com/)
### **Motilal Oswal API Portal**
[https://onlinetrade.motilaloswal.com/emailers/TGS/2022/Mailer/Jun22/14Jun2022/API-consent-Mailer.html](https://onlinetrade.motilaloswal.com/emailers/TGS/2022/Mailer/Jun22/14Jun2022/API-consent-Mailer.html)
### **Motila Oswal Brokerage & Charges**
[https://www.motilaloswal.com/pricing](https://www.motilaloswal.com/pricing)
### **Motilal Oswal Customer Support**
[https://www.motilaloswal.com/contact-us](https://www.motilaloswal.com/contact-us)
### **Motilal Oswal API Charges**
Free
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What You’ll Need For Motilal Oswal Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Motilal Oswal Demat Account
You need to have an active Demat account in Jainam Duck. If you don’t have an account, [Open a demat account in Motilal Oswal](https://www.motilaloswal.com/open-demat-account/) . Make sure to activate F\&O on your account.
### TOTP Setup
You need to set up TOTP on your account. To setup TOTP follow the steps below:
- Go to [https://invest.motilaloswal.com/moAPI](https://invest.motilaloswal.com/moAPI)
- Click on login and login with your motilal oswal demat account ID and Password
- Now copy the TOTP Key showing on top.
- Now download google authenticator app on your mobile and click on “Enter a Setup Key” and paste the key that we have copied in “Your Key” and click on add.
- Now google authenticator will show you a 6 digit totp. You have to use this while login.
## Connecting Motilal Oswal with AlgoTest
- Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Login your account. Click on the profile icon at the top right and select Broker Setup.
- Click on the setup icon located on the right side of the Motilal Oswal
- Now we need client ID and API Key to add motilal oswal in AlgoTest. For API Key we need to create an API App in Motilal Oswal API Portal. Copy the redirect URL as shown in the image below. We will use this Redirect URL while creating an API App in Motilal Oswal API Portal.
- Go to [https://onlinetrade.motilaloswal.com/emailers/TGS/2022/Mailer/Jun22/14Jun2022/API-consent-Mailer.html](https://onlinetrade.motilaloswal.com/emailers/TGS/2022/Mailer/Jun22/14Jun2022/API-consent-Mailer.html) and click on proceed.
- Click on Login and Enter your Motilal Oswal client ID and password and login.
- Now click on Create an API Key.
- Now Enter a random name in “App Name” and Paste redirect URL in the “Redirect URL” field that we copied from AlgoTest Broker setup page. Leave the Callback field blank. Now click on Create.
- Now click on MY API. It will show you your created API. Copy API Key from here and paste that into the AlgoTest broker setup page. Also enter your motilal oswal client ID in the “client ID” field. Click on Add Motilal Oswal.
- We have successfully added Motilal Oswal broker to our AlgoTest Account. Now we just have to login to the Motilal Oswal account in AlgoTest. To log in, click on the Login button. Enter Client ID, Password, and OTP/TOTP for login.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
## Motilal Oswal Financial Services: An Overview
**Motilal Oswal Financial Services** is a leading financial services company in India, offering a wide range of investment products, including mutual funds, ETFs, portfolio management services, and more. The company is known for its robust research, strong market presence, and a comprehensive suite of investment solutions tailored to meet the needs of both retail and institutional investors.
Motilal Oswal offers various mutual funds and ETFs such as the **Motilal Oswal Midcap Fund**, **Motilal Oswal Microcap 250 Index Fund**, and the **Motilal Oswal Nasdaq 100 ETF**. These funds are designed to cater to different investment goals, from midcap growth to exposure to international markets like the Nasdaq.
### Key Investment Options by Motilal Oswal
1. **Motilal Oswal Midcap Fund**: A fund focusing on midcap companies with growth potential.
2. **Motilal Oswal Nasdaq 100 ETF**: An ETF that allows Indian investors to gain exposure to the top 100 companies listed on the Nasdaq.
3. **Motilal Oswal Nifty Microcap 250 Index Fund**: An index fund targeting the microcap segment of the Indian market, offering a unique investment opportunity.
### FAQs on Motilal Oswal Products
1. **What is NFO Motilal Oswal?**
An **NFO (New Fund Offer)** by Motilal Oswal refers to the launch of a new mutual fund or ETF, allowing investors to subscribe to units at the initial offer price.
1. **Is NFO a good investment?**
Investing in an **NFO** can be a good opportunity if the fund offers a unique investment proposition and aligns with your financial goals. However, it carries risks, as the fund's future performance is uncertain.
1. **What is the risk in NFO?**
The primary risk in an **NFO** is that it lacks a performance track record, making it harder to predict future returns. Market volatility and fund management decisions can also impact its performance.
1. **Which NFO is open?**
The open **NFOs** by Motilal Oswal can be checked on their official website or by contacting their customer care for the latest offerings.
1. **Is Motilal Oswal's Nasdaq 100 ETF good?**
The **Motilal Oswal Nasdaq 100 ETF** is considered a good investment for those looking to diversify into global markets, particularly U.S. technology and consumer-driven companies.
1. **What is the annual return of Motilal Oswal NASDAQ 100 ETF?**
The annual return of the **Motilal Oswal NASDAQ 100 ETF** varies based on market conditions. Historical data can be found on their website or through financial data platforms.
1. **How to buy Nasdaq 100 ETF in India?**
You can buy the **Motilal Oswal Nasdaq 100 ETF** through your trading account with any broker that offers access to the Indian stock exchanges.
1. **What is the scrip code for Motilal Oswal NASDAQ 100 ETF?**
The scrip code for the **Motilal Oswal NASDAQ 100 ETF** is \[Insert Scrip Code] and can be used to search for the ETF on trading platforms.
1. **What is Motilal Oswal Nifty Microcap 250 Index Fund?**
The **Motilal Oswal Nifty Microcap 250 Index Fund** is an index fund that tracks the performance of the Nifty Microcap 250 Index, providing exposure to the smallest market capitalization stocks.
1. **What is the microcap 250 index?**
The **Nifty Microcap 250 Index** represents the performance of 250 microcap companies in India, offering an opportunity to invest in the lower spectrum of market capitalization.
1. **How to buy nifty microcap 250 index?**
You can invest in the **Nifty Microcap 250 Index** through the **Motilal Oswal Nifty Microcap 250 Index Fund**, available via mutual fund distributors or directly through the Motilal Oswal platform.
1. **What is the exit load of Motilal Oswal Nifty Microcap 250?**
The **exit load** for the **Motilal Oswal Nifty Microcap 250 Index Fund** is \[Insert Exit Load %], applicable if the fund units are redeemed within a certain period.
1. **Is it good to invest in Motilal Oswal Small Cap Fund?**
Investing in the **Motilal Oswal Small Cap Fund** can be beneficial for those seeking high growth potential, although it comes with higher risk due to market volatility.
1. **What is the NAV of Motilal Oswal Small Cap Fund today?**
The NAV (Net Asset Value) of the **Motilal Oswal Small Cap Fund** can be checked on the official Motilal Oswal Mutual Fund website or through financial news platforms.
1. **What is the size of Motilal Oswal Small Cap Fund Direct Growth fund?**
The fund size of the **Motilal Oswal Small Cap Fund Direct Growth** is approximately ₹\[Insert Fund Size].
1. **What is the return of Motilal Oswal's large-cap fund?**
The return on the **Motilal Oswal Large Cap Fund** varies with market performance. Historical returns can be accessed on their website.
1. **Which large-cap fund is best in India?**
The **Motilal Oswal Large Cap Fund** is among the top-performing large-cap funds, offering steady growth with relatively lower risk.
1. **Is Motilal Oswal Mutual Fund good or bad?**
**Motilal Oswal Mutual Fund** is considered good, particularly for those looking for a mix of high-growth potential and diversified portfolios.
1. **How safe is large-cap fund?**
Large-cap funds are generally safer compared to mid or small-cap funds due to their investments in well-established companies.
1. **Is it good to invest in Motilal Oswal Midcap Fund direct growth?**
Investing in the **Motilal Oswal Midcap Fund Direct Growth** can be rewarding for those with a higher risk appetite, seeking significant capital appreciation.
1. **What is the interest rate of Motilal Oswal Midcap Fund?**
The **interest rate** or returns of the **Motilal Oswal Midcap Fund** depend on market conditions and can be reviewed on their official website.
:::
---
// File: broker/mstocks
# MStocks | Algo Trading
## MStocks Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [MStocks](https://trade.mstock.com/)
## What You’ll Need For Algo Trading with MStocks
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### MStocks Account
You need to have a Demat account with MStocks. If you don't have an account, [create an account on MStocks here](https://trade.mstock.com/). Make sure to activate F\&O on your account.
## Connecting MStocks with AlgoTest
Go to [AlgoTest](https://algotest.in), login to your account. Click on the Broker Setup at the top right.
You’ll see a dashboard as shown below. Put "MStocks” in the search bar.
You will see the option to set up “MStocks” as shown in the image. Click on the setup.
You will be directed to the page shown in the image below. Now, add the connection name, client Id and API key.
#### Steps to find the API Key:
- Login to trade.mstock.com
- Expand sidebar from top left near the broker logo, and click on "Trading APIs"
- Click on "Generate New API Key"
- Enter Application Name as AlgoTest.
- Choose API Type as "B"
- Keep the validity as 1 year and click on Submit.
- Enter your API Key and Client ID in the fields above.
Once you are done, click on Setup.
You have successfully added MStocks broker to your AlgoTest Account.
## Note: Multi-API is supported.
## About MStocks Broker
#### Overview
MStocks is the trading platform by Mirae Asset Capital Markets, offering zero brokerage on delivery trades and flat-fee pricing for others. It aims to provide a tech-first, cost-effective solution for Indian retail traders.
#### What You Can Do with MStocks on AlgoTest
- Connect your MStocks account for live equity and derivative trading
- Automate strategy execution with AlgoTest’s platform
- Backtest and simulate before going live
- Monitor positions and PnL in real-time
#### Brokerage Charges
MStocks offers one of the most competitive rates in the industry:
- **Equity Delivery:** ₹0
- **Intraday, Futures & Options:** ₹20 per executed order
> For latest charges and brokerage plans, visit [MStocks Website](https://www.mstocks.com/)
#### FAQs
**1. Do I need a Mirae Asset Demat to use MStocks?** Yes, trading on MStocks requires opening a Mirae Asset Demat and Trading account.
**2. Does MStocks support automation via API?** Yes, MStocks supports API-based trading through AlgoTest.
**3. Are there any hidden fees?** No, pricing is transparent. Additional statutory charges may apply (GST, STT, etc.)
**4. Can I use AlgoTest on mobile to trade via MStocks?** Yes, AlgoTest supports MStocks integration on both web and mobile.
---
// File: broker/multi-api
# Multi API
This feature allows you to connect multiple instances of the same broker API to a single AlgoTest account. This helps traders with significant capital to improve trading efficiency by enabling multiple Broker API connections.
***
:::info
First instance for EVERY broker API is FREE.
***
Subsequent API instances cost **500 Credits** per instance.
***
**You can add as many API instances for a broker as you need.**
:::
## Supported Brokers for Multi API
Due to technical constraints, not all brokers support Multi API. Multi API supports the following brokers:
1. 5Paisa
2. Bigul
3. Flattrade
4. Kotak
5. Nuvama Wealth
6. Symphony (Open XTS)
7. Zebu
8. A.C Aggarwal
9. Choice
10. Fyers
11. Jainam (XTS Dealer)
12. Paytm Money
13. IIFL
14. Jainam (XTS Retail)
15. Motilal Oswal
16. Shoonya (Finvasia)
17. Upstox
18. Angel One
19. First stock
20. J.M. Financials
21. Generic Broker
22. Motilal XTS
23. Swastika
24. Wisdom Capital
## Setting Up Multi API for Algo Trading
To set up Multiple instances of the same broker API follow some simple steps as shown below.
#### Step 1
Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) and log in to your account. Select Broker Setup from the top right.
It will show you the broker setup page and all the brokers you can connect with AlgoTest.
Please take note that you should only purchase the Multi API plan if you need to run more than one instance of the same broker. One login with each broker is free, and each additional API instance costs 500 credits per month.
#### Step 2
Select your broker, then click the setup button for the chosen broker, as indicated in the image below.
Now, you must name your instance connection for easy identification. Then, click on "Add Broker" to add another instance of the same broker.
#### Step 3
Click on My Brokers on this page to see your added Brokers.
Click on the broker to view all the instances of the broker that you have added.
On this page, it will show you both instances of the same Broker
#### Step 4
When you try to log in for the second time, you will see a popup asking you to purchase a plan. Click on **"Get Plan"** to activate your plan. Each additional API instance costs **500 monthly credits**, and you can add as many instances as you want.
It will display a confirmation page. Click on "buy now" for 500 credits to activate your plan.
#### Step 5
Now you can click on the login button to log in to your multiple API instances, as shown in the image below.
:::note
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
:::
---
// File: broker/nuvama
# Nuvama Wealth | Algo Trading
## Nuvama Wealth Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Nuvama](https://www.nuvamawealth.com/Assets/images/home/name_logo_blue.jpg)
:::info
**If you do not have a Nuvama Wealth account, you can [open one here](https://www.nuvamawealth.com/cas/microsite/Nuvama-Lite-Plan-Men/?utm_source=AFFILIATES\&utm_medium=\&utm_term=\&utm_creative=\&utm_campaign=ALGOTEST\&utm_adgroup=\&utm_placement=\&utm_device=M\&utm_content=Both) with the following benefits**:
- BROKERAGE: ₹10/order
- No API Fees
- Can Buy Deep ITM and Far OTM Options in NRML
- Exchange charges as per actual discounted rate of NSE (Rs 3500/Cr approx)
- Can pledge securities online for Margin
### **Nuvama Account Opening Link**
[https://www.nuvamawealth.com/demat-account](https://www.nuvamawealth.com/demat-account)
### **Nuvama Wealth Web Trading Terminal**
[https://www.nuvamawealth.com/login#](https://www.nuvamawealth.com/login#)!
### **Nuvama Brokerage & Charges**
[https://www.nuvamawealth.com/our-pricing](https://www.nuvamawealth.com/our-pricing)
### **Nuvama Customer Support**
1800-102-3335, [helpdesk@nuvama.com](mailto\:helpdesk@nuvama.com)
### **Nuvama API Charges**
Free
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What You’ll Need For Nuvama Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Nuvama Wealth Account
You need to have an active Demat account in Nuvama Wealth. If you don’t have an account, [open a demat account in Nuvama](https://www.nuvamawealth.com/demat-account). Make sure to activate F\&O on your account.
## Connecting Nuvama with AlgoTest
- Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Login your account. Click on the profile icon at the top right and select Broker Setup.
- Click on the setup icon located on the right side of the Nuvama Wealth.
- Enter your Nuvama Client ID and click on Add Nuvama Wealth. You can locate your Client ID in Nuvama account in profile section.
- We have successfully added Nuvama Wealth to our AlgoTest Account. Now we just have to login to the Nuvama Wealth account in AlgoTest. To log in, click on the Login button. After clicking the button, you will be taken to the Nuvama Wealth broker login page where you can enter your login credentials.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
## Nuvama Wealth: An Overview
**Nuvama Wealth** is a prominent wealth management firm in India, formerly known as Edelweiss Wealth Management. The company offers a comprehensive range of financial services, including wealth management, investment advisory, and financial planning. **Nuvama Wealth Management Limited** is well-regarded for its client-centric approach, innovative investment solutions, and robust financial products tailored to meet the diverse needs of its clients.
**Nuvama Wealth Finance Limited** provides a wide array of financial services, ensuring that clients have access to the right tools and expertise to grow and protect their wealth. With a strong presence in the market, **Nuvama Wealth** continues to build on its legacy under its new name, having recently listed on the stock exchanges.
### Key Information on Nuvama Wealth
1. **Nuvama Wealth Share Price**: Investors can check the latest share price of **Nuvama Wealth** on financial news platforms or stock exchanges.
2. **Nuvama Wealth Listing Date**: The listing date for **Nuvama Wealth Management Limited** marked its debut on the stock exchange, further solidifying its presence in the financial market.
3. **Nuvama Wealth - Login**: Clients can access their accounts through the **Nuvama Wealth login** portal, providing seamless access to portfolio management, investment tracking, and more.
### Nuvama Wealth Pricing
#### Account Opening Charges
- **Trading Account Opening Fee**: ₹0 (Free)
- **Demat Account Opening Fee**: ₹0 (Free)
#### Annual Maintenance Charges (AMC)
- **Demat Account AMC**: ₹500 per annum
#### Brokerage Charges
- **Equity Delivery**: 0.30% per order
- **Equity Intraday**: 0.03% per order
- **Futures**: ₹20 per order
- **Options**: ₹20 per lot
- **Currency Futures**: ₹20 per lot
- **Currency Options**: ₹20 per lot
- **Commodity Trading**: 0.03% per order
#### Other Charges
- **Call and Trade Charges**: ₹20 per call
- **DP Charges**: ₹13 per debit transaction
### FAQs on Nuvama Wealth
1. **Is Nuvama a good stock to buy?**
Whether **Nuvama Wealth** is a good stock to buy depends on your investment goals and risk tolerance. The company has a strong track record in wealth management, but it's essential to consult with a financial advisor or conduct your own research before making any investment decisions.
1. **What is the price of Nuvama share?**
The current price of **Nuvama Wealth share** can be checked on stock exchanges or financial platforms that provide real-time stock quotes.
1. **What is the price target for Nuvama in 2025?**
The **price target for Nuvama Wealth** in 2025 will vary depending on market conditions and analyst predictions. It is advisable to follow financial news and reports for updated forecasts.
1. **What is the price target for Nuvama?**
The **price target for Nuvama Wealth** is set by market analysts based on the company's performance, market trends, and financial health. For the latest price target, refer to financial reports or analyst coverage.
1. **Who is the owner of Nuvama Wealth?**
**Nuvama Wealth** is owned by PAG, who have 56% of the controlling share.
1. **Why is Edelweiss now Nuvama?**
**Edelweiss** rebranded to **Nuvama Wealth** to mark a new chapter in its journey, reflecting its evolving business model and strategic focus on wealth management.
1. **Are Nuvama and Edelweiss the same?**
**Nuvama Wealth** is the rebranded entity of **Edelweiss Wealth Management**. The core business remains the same, but it operates under the new name **Nuvama**.
1. **Is Nuvama Wealth safe?**
Yes, **Nuvama Wealth** is considered safe and is SEBI-registered, ensuring compliance with regulatory standards and offering secure financial services to its clients.
1. **What is the old name of Nuvama Wealth Finance Limited?**
The old name of **Nuvama Wealth Finance Limited** was **Edelweiss Wealth Management** before the rebranding to **Nuvama**.
1. **Who is the CEO of Nuvama Wealth?**
The CEO of **Nuvama Wealth** is Ashish Kehair, who leads the company's strategic direction and operations.
1. **Is Nuvama SEBI registered?**
Yes, **Nuvama Wealth** is SEBI-registered, ensuring that it operates under the guidelines and regulations set by the Securities and Exchange Board of India.
1. **How many Nuvama shares will I get?**
The number of **Nuvama shares** an investor will receive depends on the subscription during the IPO and any allotment rules specified during the offering.
1. **Why did Edelweiss change to Nuvama?**
**Edelweiss** changed to **Nuvama Wealth** as part of a strategic rebranding to better reflect its focus on wealth management and to differentiate its services in a competitive market.
1. **Is Nuvama Wealth renamed?**
Yes, **Nuvama Wealth** is the new name for the company previously known as **Edelweiss Wealth Management**, representing a fresh identity for the business.
:::
---
// File: broker/open-xts
## AlgoTest Introduces Open XTS: Trade Like a Pro!
Symphony XTS is an independent API offered by many stock brokers in India. [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) Open XTS feature lets you connect to any broker supporting Symphony XTS API.
### What is Open XTS?
AlgoTest launched Open XTS, an innovative feature that enables you to connect any of your brokers that support Symphony XTS to AlgoTest.
### Who is it for?
Open XTS is ideal for anyone interested in Algo Trading and has a broker supporting Symphony XTS. With this feature, you can easily connect your broker with [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) in just one click.
**Benefits of using Open XTS in the AlgoTest platform:**
- **Connect any broker**: Connect any broker that supports Symphony XTS with AlgoTest and start the journey of Algo Trading.
:::info
XTS broker not on AlgoTest's list? Don't worry.
***
You can still connect to your broker that supports XTS.
:::
- **Automation**: Connect your XTS API-supported broker with AlgoTest to automate your strategy.
- **Stable**: XTS is considered a stable and safe API for trading, as many large brokerage firms utilize it.
### How to use it:
Using Open XTS might sound complicated, but it's quite simple! Here's a basic idea:
- **Check if your broker supports Open XTS**: Not all brokers currently support this feature. Please inquire with your broker to see if they offer Symphony XTS API.
- **Get your API keys**: Think of these keys as passwords that allow AlgoTest to connect to your broker's system. You'll need to get these from your broker. You need to connect with your broker to provide API Keys to get these.
\*\*You need the following 5 keys as shown below so that you can request these keys from the broker:
***
\*\*
- Interactive API Key,
- Interactive API Secret,
- Market Data API Key,
- Market Data API Secret,
- Connection URL,
- Host Lookup URL
## Connect AlgoTest with Open XTS
This might involve a few clicks in your AlgoTest settings. Don't worry, AlgoTest will guide you through the process!
Remember to click on the profile button, and then click on the "Broker Setup" page button on AlgoTest.
Click on Symphony Tech and click on the setup button as shown in the image below.
Remember to enter the necessary API keys provided by your broker and then click on "Add Symphony (Open XTS)" as shown in the image below. Please note that the Host Lookup URL is mandatory. You only need to fill it out if your broker provides that information.
Your broker setup is complete. This was a one-time process. You can now click the login button to access your broker. It is important to note that you can log in to your broker between 08:00 AM and 03:29 PM
It will show you the logged-in status. It means your broker is logged in, to AlgoTest.
## Supported Brokers
Here's a few (but not all) of the supported XTS brokers.
| Broker Name | Supports Open XTS |
| -------------------------------- | ----------------- |
| 5Paisa | Yes |
| AC Agarwal | Yes |
| Achintya Securities Pvt. Ltd | Yes |
| Aditya Trading Solutions | Yes |
| Adroit Financial | Yes |
| Ajay Natwarlal Security | Yes |
| Anand Rathi | Yes |
| Arham Share Pvt. Ltd. | Yes |
| Arham Wealth Management Pvt Ltd. | Yes |
| Asiatic Stock & Securities LTD | Yes |
| BP Wealth | Yes |
| Bigul | Yes |
| CNB Finwiz Pvt Ltd | Yes |
| Composite Edge | Yes |
| Crown Consultants Pvt Ltd | Yes |
| DB International | Yes |
| GRD Securities | Yes |
| Growth Securities | Yes |
| Gyandeep Stocks Pvt Ltd | Yes |
| IIFL | Yes |
| Jainam (XTS Dealer + Retail) | Yes |
| Jaypee Capital Services LTP | Yes |
| JM Financials | Yes |
| Kredent Trading | Yes |
| M Prasad & Co. Ltd. | Yes |
| Marck Securities | Yes |
| Marwari | Yes |
| Mastertrust | Yes |
| Matrix Equitrade Pvt. Ltd. | Yes |
| Motilal | Yes |
| Nirmal Bang | Yes |
| NX Block Trades | Yes |
| Pace Stock Broking | Yes |
| PRB Securities | Yes |
| RMoney Raghunath Money | Yes |
| ShareIndia | Yes |
| Shri Parasram Holding Pvt. Ltd. | Yes |
| SW Capital Pvt Ltd. | Yes |
| SYKES & RAY Equities Ltd. | Yes |
| Transglobal Trade | Yes |
| Trustline | Yes |
| Ventura Securities Ltd | Yes |
| Wisdom Capital | Yes |
| Yashvi Securities | Yes |
| Zebu | Yes |
## Conclusion
Open XTS streamlines integrating any Symphony XTS-supported broker into the AlgoTest platform, providing a robust tool for traders and developers to ease starting their algo trading journey.
Remember: Open XTS allows you to connect to real markets, so always trade responsibly and cautiously. Make sure you understand the risks involved before using it with real money.
---
// File: broker/paytm
# Paytm Money | Algo Trading
## Paytm Money Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Wikimedia Commons](https://upload.wikimedia.org/wikipedia/commons/e/e8/Paytm_Money_Logo.png)
:::info
### **Paytm Account Opening Link**
[https://www.paytmmoney.com/open-demat-trading-account](https://www.paytmmoney.com/open-demat-trading-account)
### **Paytm Money Trading Terminal**
[https://login.paytmmoney.com/](https://login.paytmmoney.com/)
### **Paytm Money API Portal**
[https://developer.paytmmoney.com/](https://developer.paytmmoney.com/)
### **Paytm Brokerage & Charges**
[https://www.paytmmoney.com/stocks/pricing](https://www.paytmmoney.com/stocks/pricing)
### **Paytm Customer Support**
[https://www.paytmmoney.com/contact-us](https://www.paytmmoney.com/contact-us)
### **Paytm API Charges**
Free
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What You’ll Need For PayTM Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Paytm Money Demat Account
You need to have an active Demat account in Jainam Duck. If you don’t have an account, [Open a demat account in Paytm Money](https://www.paytmmoney.com/open-demat-trading-account). Make sure to activate F\&O on your account.
## Connecting Paytm Money with AlgoTest
- Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Login your account. Click on the profile icon at the top right and select Broker Setup.
- Click on the setup icon located on the right side of the Paytm Money.
- Now we need Paytm Money API Key and API Portal to add Paytm Money in AlgoTest. For API Key we need to create an API App in Paytm Money API Portal. Copy the redirect URL as shown in the image below. We will use this while creating an API App in the Paytm Money API Portal.
- Go to [https://developer.paytmmoney.com/](https://developer.paytmmoney.com/) and click on Sign In as shown in the image below.
- Enter your registered mobile number or email and password and click on sign in.
- Click on create new app. You can create up to 5 apps.
- Select Trading API and Market Data API and click on proceed.
- Enter any random name in “App name”, paste the redirect URL that we copied from algotest broker setup page in “Redirect URL ”. Enter random description in “Description”
- Our API App has been created. You can see it in the API dashboard. Copy API Key and API Secret from here and paste that in the algotest broker setup page and click on Add Paytm Money.
- We have successfully added Paytm Money broker to our AlgoTest Account. Now we just have to login to the Paytm Money account in AlgoTest. To log in, click on the Login button.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
## Paytm Money: An Overview
**Paytm Money** is a popular investment and trading platform in India, offering a wide range of financial services, including mutual funds, stock trading, NPS (National Pension System), and digital gold. It is a subsidiary of Paytm, one of India's leading digital payment platforms. **Paytm Money** is designed to provide users with a simple, transparent, and cost-effective way to invest and manage their wealth.
### Key Features of Paytm Money
- **Safe and Secure**: **Paytm Money** is known for its robust security measures, ensuring that all transactions and data are protected.
- **Comprehensive Investment Options**: Users can invest in mutual funds, stocks, ETFs, and NPS directly from the app.
- **User-Friendly Interface**: The app is designed to be user-friendly, making it easy for both new and experienced investors to navigate and manage their investments.
### Paytm Money Pricing
#### Account Opening Charges
- **Trading Account Opening Fee**: ₹0 (Free)
- **Demat Account Opening Fee**: ₹0 (Free)
#### Annual Maintenance Charges (AMC)
- **Demat Account AMC**: ₹300 per annum
#### Brokerage Charges
- **Equity Delivery**: ₹0 (Zero brokerage on delivery trades)
- **Equity Intraday**: 0.05% of turnover or ₹10 per executed order (whichever is lower)
- **Futures & Options**: ₹10 per executed order
- **Currency Futures**: ₹10 per executed order
- **Commodity Trading**: ₹10 per executed order
#### Other Charges
- **Call and Trade Charges**: ₹50 per call
- **DP Charges**: ₹12.5 per debit transaction
- **Pledge Creation**: ₹30 per request
### FAQs on Paytm Money
1. **Is the Paytm Money app safe?**
Yes, the **Paytm Money app** is safe to use. It employs advanced security measures, including data encryption and secure servers, to protect user information and transactions.
1. **How does Paytm Money work?**
**Paytm Money** allows users to invest in various financial products like mutual funds, stocks, and NPS. Users can open an account online, add funds, and start investing through the app.
1. **Can I withdraw money from Paytm Money?**
Yes, you can withdraw money from **Paytm Money**. Funds can be transferred back to your linked bank account after selling your investments.
1. **Is Paytm Money chargeable?**
**Paytm Money** offers zero brokerage on equity delivery trades, but charges a minimal fee for intraday and F\&O trades. There are also charges for certain services like AMC for the Demat account.
1. **How can I refund my money from Paytm?**
To request a refund from Paytm, you can contact **Paytm customer care** via the **Paytm customer care number for refund money transfer** or raise a dispute directly through the app.
1. **How can I directly talk to Paytm customer care?**
You can directly talk to Paytm customer care by calling the **Paytm money customer care number**, which is available on their website or within the app.
1. **Is Paytm Money customer care 24x7?**
**Paytm Money customer care** is not available 24x7, but they offer support during business hours. You can contact them via the app, phone, or email for assistance.
1. **Where can I complain about Paytm?**
You can file a complaint about Paytm through their customer care, the Paytm app, or by contacting the **Paytm customer care number for refund money** or other issues.
1. **Is Paytm better than Generic Broker?**
**Paytm Money** and **Generic Broker** cater to different types of investors. While Paytm Money is known for its simplicity and ease of use, Generic Broker is often preferred by experienced traders for its advanced tools and features.
1. **Is Paytm Money good for trading?**
**Paytm Money** is good for beginners and casual traders looking for a straightforward and affordable trading platform. It provides access to various financial products with competitive pricing.
1. **Which platform is better than Generic Broker?**
Platforms like **Paytm Money** and **Groww** offer simpler interfaces and lower fees for mutual fund investments, while Generic Broker is favored for its comprehensive trading tools and services.
1. **Can I switch from Paytm Money to Generic Broker?**
Yes, you can switch from **Paytm Money** to **Generic Broker** by closing your Paytm Money account and opening a new account with Generic Broker. However, ensure you transfer your investments properly.
1. **Is Groww better or Paytm Money?**
Both **Groww** and **Paytm Money** offer similar services, but Paytm Money has a broader range of investment options, including stock trading. The choice depends on your specific needs.
1. **Is Paytm Money app real or fake?**
The **Paytm Money app** is a legitimate platform, regulated by SEBI and offering genuine financial services.
1. **Which is better, ET Money or Paytm Money?**
**Paytm Money** is generally better for stock trading and a wider range of investments, while **ET Money** focuses on mutual funds and personal finance management.
:::
---
// File: broker/prudent
# Prudent | Algo Trading
## Prudent Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Prudent](https://www.prudentbroking.com)
## What You’ll Need For Prudent Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Prudent Account
You need to have a Demat account with Prudent. If you don't have an account, [create an account on Prudent here](https://www.fundzbazar.com/signup). Make sure to activate F\&O on your account.
## Connecting Prudent with AlgoTest
Go to [AlgoTest](https://algotest.in), login to your account. Click on the Broker Setup at the top right.
You’ll see a dashboard as shown below. Put "Prudent” in the search bar.
You will see the option to set up “Prudent” as shown in the image. Click on the setup.
You will be directed to the page shown in the image below. Now, add the name for this API connection and add your Prudent Client ID.
***
## About Prudent Broker
### Overview
Prudent Broking is a SEBI-registered full-service stock broker and depository participant, offering online trading and broking services across cash, derivatives and commodities segments in India.
#### What You Can Do with Prudent on AlgoTest
- Connect your Prudent trading account to AlgoTest
- Automate equity and derivatives strategies without writing code
- Backtest and optimize strategies using historical data
- Track trades, monitor performance, and make real-time adjustments
#### FAQs
**1. What market segments are supported through AlgoTest?** Equity delivery, intraday, futures, and options segments are supported.
**2. Do I need coding skills to use AlgoTest with Prudent?** No, AlgoTest offers a no-code interface for creating and deploying strategies.
**3. Can I run multiple strategies at once?** Yes, you can deploy, manage, and monitor multiple strategies simultaneously through AlgoTest’s dashboard.
---
// File: broker/smc
# SMC | Algo Trading
## SMC Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [SMC](https://webtrade.smctradeonline.com/login)
## What You’ll Need For Algo Trading with SMC
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### SMC Account
You need to have a Demat account with SMC. If you don't have an account, [create an account on SMC here](https://webtrade.smctradeonline.com/login). Make sure to activate F\&O on your account.
## Connecting SMC with AlgoTest
Go to [AlgoTest](https://algotest.in), login to your account. Click on the Broker Setup at the top right.
You’ll see a dashboard as shown below. Put "SMC” in the search bar.
You will see the option to set up “SMC” as shown in the image. Click on the setup.
You will be directed to the page shown in the image below. Now, add the connection name, client Id, API Key and API Secret.
#### Steps to find API Key:
- Please to go to [https://webtrade.smctradeonline.com/login](https://webtrade.smctradeonline.com/login) and login to your account
- Click “Create an APP”
- Enter App Name as "AlgoTest"
- When creating the app, Copy and paste this url as your Redirect URL: [https://algotest.in/confirm\_broker/smc/686794e5b6b91aa39b34882d](https://algotest.in/confirm_broker/smc/686794e5b6b91aa39b34882d)
- Leave the Postback as blank
- Enter your Client ID here
- Copy the API Key and Secret Key and paste them above
Once you are done, click on Setup.
You have successfully added SMC broker to your AlgoTest Account.
## Note: Multi-API is supported.
## About SMC Broker
#### Overview
SMC Global Securities is a full-service financial services firm offering broking services in equities, derivatives, commodities, and currencies. With a strong presence across India, SMC caters to both retail and institutional clients.
#### What You Can Do with SMC on AlgoTest
- Connect your SMC account to automate trades via AlgoTest
- Deploy strategies in equity, intraday, and derivatives
- Run backtests with real market data
- Track live trades, positions, and PnL
#### Brokerage Charges
SMC generally follows a flat-fee model:
- **Equity Delivery:** ₹0–₹20
- **Equity Intraday:** ₹20 per executed order
- **Futures & Options:** ₹20 per executed order
> Charges may differ by plan. Please verify with your SMC representative.
#### FAQs
**1. Does SMC support API-based trading?** Yes, API trading is available for AlgoTest integration upon request.
**2. Are all segments supported via AlgoTest?** Equity, intraday, and F\&O segments are supported.
**3. Is any documentation required to activate APIs?** Yes, you may need to fill out a consent form and complete KYC verification with SMC.
**4. Can I use AlgoTest with my existing SMC Demat?** Yes, as long as your account is enabled for API trading.
---
// File: broker/stoxkart
# Stoxkart | Algo Trading
## Stoxkart Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Stoxkart](https://webtrade.smctradeonline.com/login)
## What You’ll Need For Algo Trading with Stoxkart
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Stoxkart Account
You need to have a Demat account with Stoxkart. If you don't have an account, [create an account on Stoxkart here](https://superrapi.stoxkart.com). Make sure to activate F\&O on your account.
## Connecting Stoxkart with AlgoTest
Go to [AlgoTest](https://algotest.in), login to your account. Click on the Broker Setup at the top right.
You’ll see a dashboard as shown below. Put "Stoxkart” in the search bar.
You will see the option to set up “Stoxkart” as shown in the image. Click on the setup.
You will be directed to the page shown in the image below. Now, add the connection name, client Id, API Key and API Secret.
#### Steps to find API Key:
- Please to go to [https://superrapi.stoxkart.com](https://superrapi.stoxkart.com) and login to your account
- Click “Create an APP”
- Enter App Name as "AlgoTest"
- When creating the app, Copy and paste this url as your Redirect URL: [https://algotest.in/confirm\_broker/stoxkart/686797de4f2dbf406029d987](https://algotest.in/confirm_broker/stoxkart/686797de4f2dbf406029d987)
- Leave the Postback as blank
- Enter your Client ID here
- Copy the API Key and Secret Key and paste them above
Once you are done, click on Setup.
You have successfully added Stoxkart broker to your AlgoTest Account.
Note: Multi-API is supported.
***
## About Stoxkart Broker
#### Overview
Stoxkart is a discount brokerage platform under the SMC Group. It offers low-cost trading across equity, F\&O, commodities, and currencies. Stoxkart’s primary value proposition is cost-efficiency and ease of use.
#### What You Can Do with Stoxkart on AlgoTest
- Execute automated strategies for equity and F\&O segments
- Monitor trades and performance live
- Backtest trading logic using historical data
- Simplify trading with AlgoTest’s no-code interface
#### Brokerage Charges
Stoxkart has a flat fee model:
- **Equity Delivery:** ₹0
- **Intraday, F\&O:** ₹15 per executed order
> Refer to [Stoxkart Pricing](https://www.stoxkart.com/) for full fee details.
#### FAQs
**1. Can I use AlgoTest with Stoxkart API?** Yes, AlgoTest is integrated with Stoxkart APIs for live trading.
**2. Is there any fee to use APIs?** API access is usually free but confirm with your relationship manager.
**3. Are commodities and currencies supported on AlgoTest?** Currently, only equity and F\&O segments are supported.
**4. Is AlgoTest mobile compatible for Stoxkart users?** Yes, AlgoTest works on both mobile and desktop for Stoxkart clients.
---
// File: broker/swastika
# Swastika | Algo Trading
## Swastika info for Algo Trading
Image via [swastika.co.in](https://swastika.co.in)
:::info
### Account Opening Link
[https://www.swastika.co.in/open-demat-account](https://www.swastika.co.in/open-demat-account)
### Swastika TradingTerminal
[https://trade.swastika.co.in/](https://trade.swastika.co.in/)
### Customer Support
[https://www.swastika.co.in/contact-us](https://www.swastika.co.in/contact-us)
### API Charges for Swastika
Free
:::
## What You'll Need To Connect
### AlgoTest Account
You need to have an AlgoTest account. If you don't have an AlgoTest account, you can create it by clicking on [this link.](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest)
### Swastika Account
You need to have an active Demat account in Swastika. If you don't have an account, [create an account on Swastika](https://www.swastika.co.in/open-demat-account). Make sure to activate F\&O on your account.
### TOTP Setup
You need to set up TOTP on your brokerage account. To learn how to set up TOTP on Swastika Broker, [click here.](https://youtu.be/qsWupihJ9Bk?si=YKIIgz-dUnJwUIeo)
## Connecting Swastika with AlgoTest
- Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Click on the profile icon at the top right and select Broker Setup.
- Select the broker and click on setup button as shown in the image below.
- Please enter any random name of your choice in the "Connection Name" field and then enter your Swastika broker client ID in the "Client ID" field. Finally, click on "Add Swastika" as shown in the image below. Note: You can find your Swastika Client ID in the profile section of your Swastika broker account.
- We have successfully added Swastika to our AlgoTest Account. Now we just have to login to the Swastika account in AlgoTest. To log in, click on the Login button.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Enter your M-Pin and TOTP for your Swastika account, then click "Login with Swastika".
- Once you are logged in, the system will display a status message confirming your login status.
## Swastika Investment: An Overview
**Swastika Investment Ltd** is a well-established financial services company in India, offering a wide range of investment and trading solutions. The firm provides services in equity, derivatives, commodities, currency trading, and more. **Swastika Investment** is known for its customer-centric approach, competitive brokerage charges, and comprehensive trading platforms. Whether you are a retail investor or an institutional client, Swastika Investment aims to deliver efficient and reliable services to meet your financial goals.
### Key Features of Swastika Investment
- **Comprehensive Trading Services**: **Swastika Investment** offers trading in equities, derivatives, commodities, and currencies, providing a wide range of investment options.
- **User-Friendly Platform**: The **Swastika Investment login** portal allows clients to access their accounts, track investments, and execute trades seamlessly.
- **Customer Support**: **Swastika Investment customer care** is dedicated to assisting clients with any queries or issues related to their trading activities.
### Swastika Investment Pricing
#### Account Opening Charges
- **Trading Account Opening Fee**: ₹0 (Free)
- **Demat Account Opening Fee**: ₹0 (Free)
#### Annual Maintenance Charges (AMC)
- **Demat Account AMC**: ₹300 per annum
#### Brokerage Charges
- **Equity Delivery**: 0.30% per order
- **Equity Intraday**: 0.03% per order
- **Futures**: ₹20 per order
- **Options**: ₹20 per lot
- **Currency Futures & Options**: ₹20 per lot
- **Commodity Trading**: 0.03% per order
#### Other Charges
- **Call and Trade Charges**: ₹20 per call
- **DP Charges**: ₹13 per debit transaction
### FAQs on Swastika Investment
1. **Who is the CEO of Swastika Broker?**
The CEO of **Swastika Broker** is Sunil Nyati, who oversees the operations and strategic direction of the company.
1. **What are the brokerage charges of Swastika?**
**Swastika Investment** offers competitive brokerage charges, with equity delivery charged at 0.30% per order, equity intraday at 0.03%, and ₹20 per order for futures and options trades.
1. **What is the price of Swastika share in NSE?**
The current price of **Swastika Investment Ltd** shares on the NSE can be checked on financial news platforms or directly on the NSE website.
1. **How to calculate brokerage in Swastika?**
Brokerage can be calculated using the **Swastika Investment brokerage calculator** available on their website, which allows clients to estimate trading costs based on the type and volume of trades.
1. **Who is the owner of Swastika?**
\[Insert Owner's Name] is the owner of **Swastika Investment Ltd**, responsible for the company's leadership and business strategies.
1. **What is the Swastika trading company?**
**Swastika Investment Ltd** is a trading company providing services in equities, derivatives, commodities, and currency markets. It is one of the prominent brokers in India with a strong focus on customer service.
1. **Who is the CEO of Swastika Investmart Ltd?**
The CEO of **Swastika Investmart Ltd** is Sunil Nyati, leading the company in achieving its business objectives and delivering value to its clients.
1. **What are the brokerage charges of Swastika?**
The brokerage charges of **Swastika Investment** include 0.30% for equity delivery, 0.03% for equity intraday, and ₹20 per order for futures and options trades. These charges are competitive and cater to a wide range of trading activities.
---
// File: broker/tradejini
# Tradejini | Algo Trading
## Tradjini Broker Information
:::info
### **Tradejini Account Opening Link**
[https://ekyc.tradejini.com/](https://ekyc.tradejini.com/)
### **Tradejini Trading Terminal Link**
[https://cubeplus.tradejini.com/](https://cubeplus.tradejini.com/)
### **Tradejini Developer Portal Link**
[https://api.tradejini.com/developer-portal/main](https://api.tradejini.com/developer-portal/main)
### **Tradejini Brokerage and Charges**
[https://tradejini.com/pricing/](https://tradejini.com/pricing/)
### **Tradejini Customer Support**
[https://tradejini.com/faqs/](https://tradejini.com/faqs/)
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What You'll Need For Tradejini Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don't have a AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Tradejini Account
You need to have a Demat account in Tradejini. If you don't have an account, [create an account on Tradejini ](https://ekyc.tradejini.com/). Make sure to activate F\&O on your account.
### Tradejini Developer Portal
You need to have an account on [Tradejini Developer Portal](https://api.tradejini.com/developer-portal/main). If you don't have a account on Tradejini Developer Portal, create a new one by [clicking on this link.](https://api.tradejini.com/developer-portal/main)
## Connect Tradejini with AlgoTest
- To connect Tradejini with AlgoTest, go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Click on the profile icon at the top right and select Broker Setup.
- Click on the setup icon located on the right side of the Tradejini.
- To connect Tradejini with [AlgoTest](https://algotest.in/), we need an API Key and API Secret. In order to obtain these, we will create an App in the [Tradejini Developer Portal](https://api.tradejini.com/developer-portal/main). To get started, simply copy the redirect URL using the copy icon as shown below. This URL will be used while creating your API App in the Tradejini Developer Portal in the next steps.
- Login to the [Tradejini Developer Portal](https://api.tradejini.com/developer-portal/main). If you do not have an account, you can create a new one by clicking on the Signup button and then login.
- Click on "Create and App" Button.
- Select Apps and Enter App Name :- "AlgoTest" and paste the redirect URL that we copied from algotest broker setup page in Redirect URL field as shown in the image below and click on "Create" Button".Select the "Apps" option and enter the name of the app as "AlgoTest". Next, paste the redirect URL that was copied from the AlgoTest broker setup page into the "Redirect URL" field shown in the image below. Finally, click on the "Create" button.
- Your application has been created successfully. To retrieve your API Key and API Secret, please refer to the image below. Once you have obtained the API Key and API Secret, copy and paste them onto the AlgoTest broker setup page. Then, click on "Add Tradejini" as displayed in the image below to complete the setup process.
- Click on the "Login" button after completing Broker Setup to login your Tradejini account in AlgoTest.
- To log into your Tradejini account, please enter your account ID and password, followed by the TOTP (Time-based One-Time Password) and then click on the Proceed button.
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
## Tradejini: An Overview
**Tradejini** is a popular discount brokerage firm in India, known for offering low-cost trading solutions across various segments, including equities, derivatives, commodities, and currencies. Established with the vision of providing transparent and affordable trading services, Tradejini has quickly gained a reputation for its user-friendly platforms and customer-centric approach. The firm also offers advanced tools like the **Tradejini margin calculator** and **brokerage calculator** to help traders optimize their strategies and manage costs effectively.
### **Key Features of Tradejini**
- **User-Friendly Platforms**: **Tradejini Cube** is the firm's trading platform, offering seamless access to multiple asset classes with real-time data and intuitive interfaces.
- **Comprehensive Trading Tools**: Traders can utilize tools like the **Tradejini margin calculator** and **brokerage calculator** to estimate trading costs and manage margin requirements efficiently.
- **Customer Support**: **Tradejini customer care** is available to assist clients with any trading-related queries or issues, ensuring a smooth trading experience.
### **Tradejini Pricing**
#### **Account Opening Charges**:
- **Trading Account Opening Fee**: ₹300
- **Demat Account Opening Fee**: ₹300
#### **Annual Maintenance Charges (AMC)**:
- **Demat Account AMC**: ₹300 per annum
#### **Brokerage Charges**:
- **Equity Delivery**: ₹20 per executed order or 0.1% of the trade value (whichever is lower)
- **Equity Intraday**: ₹20 per executed order or 0.01% of the trade value (whichever is lower)
- **Futures**: ₹20 per executed order or 0.01% of the trade value (whichever is lower)
- **Options**: ₹20 per executed order
- **Currency Futures & Options**: ₹20 per executed order
- **Commodity Trading**: ₹20 per executed order
#### **Other Charges**:
- **Call and Trade Charges**: ₹20 per call
- **DP Charges**: ₹15 per debit transaction
### FAQs on Tradejini
1. **What is Tradejini?**
**Tradejini** is a discount brokerage firm offering low-cost trading services in equities, derivatives, commodities, and currencies. The firm is known for its transparency, user-friendly platforms, and competitive pricing.
1. **How to login to Tradejini?**
You can log in to your **Tradejini** account via the **Tradejini login** page on their website or through the **Tradejini Cube** trading platform using your registered credentials.
1. **What are the reviews for Tradejini?**
**Tradejini reviews** are generally positive, with clients appreciating the low brokerage charges, user-friendly platforms, and efficient customer support. However, some users may have concerns about specific features or services, so it's important to read recent reviews and ratings before making a decision.
1. **What is Tradejini Cube?**
**Tradejini Cube** is the trading platform offered by Tradejini, providing access to various asset classes with real-time market data, advanced charting tools, and seamless order execution.
1. **What are the F\&O margin details for Tradejini?**
The **Tradejini F\&O margin details** can be calculated using the **Tradejini margin calculator** available on their website. This tool helps traders determine the margin requirements for futures and options trading based on their positions and market conditions.
1. **How do I calculate brokerage in Tradejini?**
Brokerage can be calculated using the **Tradejini brokerage calculator** available on their website. This tool allows clients to estimate the brokerage fees based on their trade value and segment (equity, intraday, F\&O, etc.).
1. **What are the brokerage charges of Tradejini?**
**Tradejini brokerage charges** are ₹20 per executed order or a percentage of the trade value, whichever is lower. The firm offers competitive rates across all trading segments, making it a cost-effective choice for traders.
1. **Is Tradejini Cube reliable for trading?**
Yes, **Tradejini Cube** is considered reliable for trading, offering a stable and user-friendly platform with real-time data and advanced tools for executing trades efficiently.
1. **How do I use the Tradejini margin calculator?**
The **Tradejini margin calculator** can be accessed through their website. It helps traders calculate the margin required for various trades, including equity, derivatives, and commodities, ensuring they have sufficient funds to execute their trades.
:::
---
// File: broker/tradesmart
# TradeSmart | Algo Trading
## TradeSmart Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [TradeSmart](https://tradesmartonline.in)
## What You’ll Need For TradeSmart Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### TradeSmart Account
You need to have a Demat account in TradeSmart. If you don't have an account, [create an account on TradeSmart ](https://tradesmartonline.in). Make sure to activate F\&O on your account.
## Connecting TradeSmart with AlgoTest
Go to [AlgoTest](https://algotest.in), login to your account. Click on the Broker Setup at the top right.
You’ll see a dashboard as shown below. Put “Trade Smart” in the search bar.
You will see the option to set up “Trade Smart” as shown in the image. Click on the setup.
You will be directed to the page shown in the image below. Now, add the name for this API connection and add your client code. Click on “Add Trade Smart”.
Once you have added the TradeSmart, you will have to log in to your TradeSmart account.
You will be directed to the page shown below. Add your account password and TOTP and login with TradeSmart.
---
// File: broker/upstox
# Upstox | Algo Trading
## Upstox Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [AWS](https://aws.amazon.com/solutions/case-studies/upstox-case-study/)
:::info
### **Upstox Account Opening Link**
[https://upstox.com/open-demat-account/](https://upstox.com/open-demat-account/)
### **Upstox Web Trading Terminal**
[https://login.upstox.com/](https://login.upstox.com/)
### **Upstox Brokerage & Charges**
[https://upstox.com/brokerage-charges/](https://upstox.com/brokerage-charges/)
### **Upstox Customer Support**
[https://help.upstox.com/support/home](https://help.upstox.com/support/home)
### **Upstox API Charges**
Free
:::
## What You’ll Need For Upstox Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Upstox Demat Account
You need to have an active Demat account in Upstox. If you don’t have an account, [Open a demat account in Upstox](https://upstox.com/open-demat-account/). Make sure to activate F\&O on your account.
## Connecting Upstox with AlgoTest
- Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Login your account. Click on the profile icon at the top right and select Broker Setup.
- Click on the setup icon located on the right side of the Upstox
- Now we need API Key and API Secret to add Upstox in AlgoTest. For API Key and API Secret, we need to create an API App in Upstox. For now, Copy the redirect URL as shown in the image below. We will use this redirect URL while creating the API App.
- Now go to [login.upstox.com](https://login.upstox.com) and login your upstox account by entering your mobile number and otp.
- Go to my account section and click on my app.
Via [upstox](https://s3.amazonaws.com/cdn.freshdesk.com/data/helpdesk/attachments/production/57978512/original/j0ExjpM9OSHNVTgW_8c-peuLN9UCF72K9A.png?1617633848)
- Click on New App
- Now enter any random name in “App Name”. Paste redirect URL in “Redirect URL” box that we copied from algotest broker setup page. Click on continue and then click on confirm plan.
- We have successfully created an API. Now we just need to copy API Key and API Secret and paste it into the AlgoTest broker setup page as shown in the image below.
- We have successfully added an Upstox broker to our AlgoTest Account. Now we just have to login to the Upstox account in AlgoTest. To log in, click on the Login button. After clicking the button, you will be taken to the Upstox broker login page where you can enter your login credentials.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
## Upstox: An Overview
**Upstox** is one of India's leading discount brokerage firms, offering a wide range of financial services, including equity trading, derivatives, commodities, and mutual funds. Known for its user-friendly platform and low brokerage charges, Upstox has become a popular choice among both beginner and experienced traders. The firm provides advanced tools like the **Upstox margin calculator** and **brokerage calculator** to help traders optimize their strategies and manage costs effectively.
### Key Features of Upstox
- **User-Friendly Platform**: **Upstox Pro** is the firm's advanced trading platform, offering seamless access to multiple asset classes with real-time data, advanced charting, and intuitive interfaces.
- **Comprehensive Trading Tools**: Traders can utilize tools like the **Upstox charges calculator** and **brokerage calculator** to estimate trading costs and manage margin requirements efficiently.
- **Customer Support**: **Upstox customer care** is available to assist clients with any trading-related queries or issues, ensuring a smooth trading experience.
### Upstox Pricing
1. **Account Opening Charges**:
- **Trading Account Opening Fee**: ₹0 (Free)
- **Demat Account Opening Fee**: ₹0 (Free)
1. **Annual Maintenance Charges (AMC)**:
- **Demat Account AMC**: ₹150 per annum after the first year
1. **Brokerage Charges**:
- **Equity Delivery**: ₹0 (Zero brokerage on delivery trades)
- **Equity Intraday**: ₹20 per order or 0.05% of turnover (whichever is lower)
- **Futures & Options**: ₹20 per order
- **Currency Futures & Options**: ₹20 per order
- **Commodity Trading**: ₹20 per order
1. **Other Charges**:
- **Call and Trade Charges**: ₹50 per call
- **DP Charges**: ₹18.5 per debit transaction
- **Margin Charges**: Based on the margin used, as calculated using the **Upstox margin calculator**
### FAQs on Upstox
1. **Is Upstox Pro different from Upstox?**
**Upstox Pro** is the advanced trading platform offered by Upstox, featuring real-time data, advanced charting tools, and seamless order execution. It's part of the broader Upstox service, tailored for active traders.
1. **Is Upstox Pro paid?**
No, **Upstox Pro** is not a paid service. It is provided for free to all Upstox clients who have an active trading account.
1. **What is the minimum deposit in Upstox Pro?**
There is no specific minimum deposit required to start trading on **Upstox Pro**. However, you must maintain sufficient funds in your account to meet the margin requirements for your trades.
1. **Is Upstox owned by Ratan Tata?**
While **Upstox** has received investment from Ratan Tata, the firm is owned and operated by RKSV Securities India Pvt. Ltd.
1. **How do I talk to Upstox customer care?**
You can contact Upstox customer care at 022-41792999, Monday through Friday, 8 AM to 5 PM. You can also email Upstox at [support@upstox.com.](mailto\:support@upstox.com.)
***
1. **How do I connect to Upstox?**
To connect with **Upstox**, you can reach out via their customer care number, email support, or through their mobile app.
1. **How do I raise a complaint against Upstox?**
Complaints can be raised through the **Upstox** customer support portal, via email, or by calling their helpline. You can also lodge complaints through the SEBI SCORES platform.
1. **What is the call and trade number of Upstox?**
If you want to place a buy or sell order using the Call and Trade service, you can call Upstox at 022-61309998 or 022-71309998. You'll need to use your Call and Trade T-Pin to place the order.
***
There's a ₹59 charge for each order placed using Call and Trade.
1. **Does Upstox charge any fee?**
Yes, **Upstox** charges a nominal brokerage fee for intraday, F\&O, and other trades. There are also annual maintenance charges for the Demat account after the first year.
1. **Is Upstox AMC charged after 1 year?**
Yes, **Upstox** charges an AMC of ₹150 per annum after the first year of account opening.
1. **Is Upstox completely free?**
No, while **Upstox** offers zero brokerage on equity delivery trades, other trades such as intraday, F\&O, and commodities are charged at ₹20 per order.
1. **Which is better, Upstox or Groww?**
Both **Upstox** and **Groww** are leading discount brokers in India. While Groww is known for its comprehensive trading tools, Upstox offers competitive pricing and a user-friendly platform. The choice depends on individual trading needs.
1. **Does Upstox have a refer and earn program?**
Yes, **Upstox** offers a **refer and earn** program where you can earn rewards by referring new users to open accounts with Upstox.
1. **How much money does Upstox give for referrals in 2024?**
The referral reward varies but can be up to ₹1200 per successful referral in 2024, depending on ongoing promotions.
1. **What are Upstox brokerage charges?**
**Upstox brokerage charges** include ₹0 for equity delivery trades, ₹20 per order for intraday and F\&O trades, and ₹20 per order for commodities and currency trading.
1. **Why are Upstox charges so high?**
**Upstox** offers competitive charges, but some users may find additional fees, such as DP charges and call and trade fees, higher compared to other brokers. These fees are part of the overall cost structure in the industry.
1. **Is Upstox safe?**
Yes, **Upstox** is a SEBI-registered broker and follows strict regulatory guidelines, making it a safe platform for trading and investments.
1. **Which is better, Groww or Upstox?**
**Upstox** is better suited for traders looking for advanced trading features and low brokerage charges, while **Groww** is more beginner-friendly and focused on mutual fund investments.
1. **What are the disadvantages of Upstox?**
Some of the disadvantages of **Upstox** include additional charges for services like call and trade and DP charges, and a slightly higher learning curve for new users compared to more beginner-focused platforms.
1. **Is Upstox good for beginners?**
Yes, **Upstox** is a good option for beginners due to its low brokerage charges and user-friendly interface, though it offers more advanced tools that may also appeal to experienced traders.
---
// File: broker/wisdom
# Wisdom Capital | Algo Trading
## Wisdom Capital Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [X.com](https://pbs.twimg.com/profile_images/1412673865134731265/mV41mq1r_400x400.jpg)
:::info
### **WWisdom Capital Customer Support**
01206633215
### **Wisdom Capital API Charges**
Free
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What You’ll Need For Wisdom Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Wisdom Capital Account
You need to have an active Demat account in Wisdom Capital. If you don’t have an account, create an account in Wisdom Capital. Make sure to activate F\&O on your account.
### Wisdom Capital XTS API
You need to have XTS API activated on your demat account.
## XTS API Activation
- First we will create an account on Wisdom Capital XTS API Portal. For that Go to Wisdom Capital Portal and click on create an account as shown in the image below.
- Fill all the required details. Make sure to enter User ID same as you enter in Wisdom Capital Trading Terminal.
- We have successfully created our account on Wisdom Capital XTS API Portal account. Now login to this account on XTS API Portal by clicking on the login button.
- Now we need to create 2 API Apps on API Portal.
- Interactive Order API
- Market Data API
- Now click on My app, then create a new application. It will ask for validation. Enter the ID Password that you use for Trading Terminal. After validation is completed, click on create new application.
- First we are creating an Interactive Order API. So enter a random name in App name, a random description in API Description box and select Interactive Order API and Enter the URL shown in the image in the Redirect URL. Click on the Create New Application button.
- Now you will see an Interactive Order API is created as shown below.
- Now we have to create a Market Data API. To create a Market Data API, click on My App and then click on create new application.
- Now enter a random name in App name, a random description in API Description box and select Market Data API. Enter the URL shown in the image in Redirect URL and click on the Create New Application button.
- Now you can see that there are 2 API apps created on API Dashboard. They are showing Deactive status. They will be active within 24 working hours. If they don’t become active in 24 hours you need to contact wisdom capital customer care at 01206633215 to make them active.
- Once the status shows active, we just have to copy API Key and API Secret from Interactive Order and Market Data and paste that into AlgoTest Broker Setup Page.
## Connecting Wisdom Capital with AlgoTest
- To connect Wisdom Capital with AlgoTest, go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Click on the profile icon at the top right and select Broker Setup.
- Click on the setup icon located on the right side of the Wisdom Capital.
- Copy the API Key and API Secret from Interactive Data API from Blaze API Dashboard and paste it into AlgoTest as shown in the image.
- Now copy the API Key and API Secret from Market Data API in XTS API Dashboard and paste it into algotest as shown in the image and click on Add AC Aggarwal.
- We have successfully added Wisdom Capital to our AlgoTest Account. Now we just have to login to Wisdom Capital in AlgoTest. To log in, click on the Login button.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
## Wisdom Capital: An Overview
**Wisdom Capital** is a well-known discount brokerage firm in India, offering a range of trading and investment services with competitive brokerage plans. The company is recognized for providing high leverage, low brokerage fees, and various trading platforms that cater to both beginners and seasoned traders. With a focus on affordability and customer satisfaction, **Wisdom Capital** has gained a reputation as a reliable broker in the Indian financial market.
### Key Features of Wisdom Capital
- **High Leverage**: **Wisdom Capital** is known for offering some of the highest leverage in the industry, particularly for intraday trading.
- **Competitive Brokerage Plans**: The firm offers a variety of brokerage plans, including the **Wisdom Capital Neo** plan, which caters to different types of traders.
- **Advanced Trading Platforms**: **Wisdom Capital Pro** and other platforms provided by the broker offer robust tools and real-time data for efficient trading.
### Wisdom Capital Pricing
#### Account Opening Charges
- **Trading Account Opening Fee**: ₹0 (Free)
- **Demat Account Opening Fee**: ₹0 (Free)
#### Annual Maintenance Charges (AMC)
- **Demat Account AMC**: ₹999 per annum (for Premium Plan)
#### Brokerage Plans
- **Freedom Plan**: Zero brokerage on equity delivery and ₹9 per order for intraday, F\&O, and commodities.
- **Pro Plan**: ₹15 per order for intraday, F\&O, and commodities.
- **Ultimate Plan**: ₹999 per month for unlimited trading.
#### Margin Requirements
- **Intraday Margin**: Up to 40x leverage for intraday trading.
- **Delivery Margin**: Up to 4x leverage for delivery trades.
### FAQs on Wisdom Capital
1. **Is Wisdom Capital a good broker?**
**Wisdom Capital** is considered a good broker, especially for traders looking for high leverage and low brokerage fees. The firm offers multiple trading platforms and flexible brokerage plans to suit different trading needs.
1. **Who is the owner of Wisdom Capital?**
**Wisdom Capital** is owned by Deb Mukherjee, who is responsible for the strategic direction and operations of the company.
1. **What is Wisdom Capital?**
**Wisdom Capital** is a discount brokerage firm offering trading services in equities, derivatives, commodities, and currencies with competitive pricing and high leverage.
1. **Which broker is the cheapest in India?**
**Wisdom Capital** is among the cheapest brokers in India, offering zero brokerage on equity delivery trades and low fees for intraday and F\&O trades.
1. **Who is the CEO of Wisdom Capital?**
The CEO of **Wisdom Capital** is Deb Mukherjee, who leads the company's strategic initiatives and operations.
1. **What is the leverage of Wisdom Capital?**
**Wisdom Capital** offers up to 40x leverage for intraday trading and up to 4x leverage for delivery trades, making it one of the highest leverage providers in the industry.
1. **How do I calculate brokerage fees in Wisdom Capital?**
Brokerage fees can be calculated using the **Wisdom Capital brokerage calculator** available on their website. This tool allows clients to estimate the brokerage fees based on their trade value and the selected brokerage plan.
1. **What are the top 5 brokerage companies in India?**
Some of the top brokerage companies in India include **Generic Broker**, **Wisdom Capital**, **Upstox**, **Angel One**, and **ICICI Direct**. Each offers different services and pricing models catering to various investor needs.
1. **What is the margin requirement for Wisdom Capital?**
The margin requirement in **Wisdom Capital** varies depending on the segment. For intraday trading, the margin requirement can be as low as 2.5%, while for delivery trades, it is around 25%.
1. **What is Wisdom Capital Neo?**
**Wisdom Capital Neo** is one of the brokerage plans offered by Wisdom Capital, providing traders with competitive pricing and access to various trading platforms and tools.
1. **How does Wisdom Capital compare with other brokers like Generic Broker and Finvasia?**
**Wisdom Capital** is often compared to brokers like **Generic Broker** and **Finvasia** due to its high leverage and low brokerage fees. While Generic Broker is known for its comprehensive trading tools, Wisdom Capital stands out for its aggressive pricing and margin offerings.
1. **What is the Wisdom Capital trading platform?**
**Wisdom Capital** offers several trading platforms, including **Wisdom Capital Pro**, which provides advanced trading tools, real-time data, and efficient order execution.
:::
---
// File: broker/zebu
# Zebu | Algo Trading
## Zebu Broker Information
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Image via [Zebuetrade](https://zebuetrade.com/)
:::info
### **Zebu Account Opening Link**
[https://zebuetrade.com/open-account](https://zebuetrade.com/open-account)
### **Zebu Web Trading Terminal**
[https://go.mynt.in/#/](https://go.mynt.in/#/)
### **Zebu Brokerage & Charges**
[https://zebuetrade.com/brokerage](https://zebuetrade.com/brokerage)
### **Zebu Customer Support**
[https://www.zebuetrade.com/contact](https://www.zebuetrade.com/contact)
### **Zebu API Charges**
Free
:::
:::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What You’ll Need For Zebu Algo Trading
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Zebu Demat Account
You need to have an active Demat account in Zebu. If you don’t have an account, [create an account in Zebu](https://zebuetrade.com/open-account). Make sure to activate F\&O on your account.
### TOTP Setup on Zebu Account
You need to have TOTP enabled on your Zebu account. You can enable TOTP by following below steps
- Login your zebu account on [https://go.mynt.in/#/](https://go.mynt.in/#/)
- Click on the profile icon and go to security.
- Click on the eye icon. It will show you the TOTP Key. Copy this key.
- Now download google authenticator from the play store and open it.
- Click on add Key and paste TOTP Key that we copied from broker.
- Done. It will show you a 6 digit TOTP that you can use while login.
## Connecting Zebu with AlgoTest
- To connect Zebu with AlgoTest, go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Click on the profile icon at the top right and select Broker Setup.
- Click on the setup icon located on the right side of Zebu.
- We need Vendor Code and API Key to add Zebu broker in AlgoTest.
- Go to [go.mynt.in](https://go.mynt.in/) and login your Zebu account
- Now click on the profile button then click on security.
- Now click on security then click on Generate API Key.
- They will send you API Key on registered mail ID. Copy API Key from mail and put it in the AlgoTest broker setup page. Enter your client ID in vendor code. Click on add Zebu.
Note :- Use all capital letters in vendor code. Enter vendor code without \_U
- We have successfully added Zebu to our AlgoTest Account. Now we just have to login to Zebu in AlgoTest. To log in, click on the Login button.
Note :- Broker Login timing is 08:30 AM to 3:28 PM
- Enter Zebu broker account password and TOTP. Click on the login button.
- Once you are logged in, the system will display a status message confirming your login status, as shown in the image below.
## Zebu: An Overview
**Zebu** is a fast-growing discount brokerage firm in India, offering a comprehensive range of trading and investment services, including equities, derivatives, commodities, and currencies. Known for its user-friendly platforms like **Mynt Zebu**, competitive brokerage charges, and robust customer support, Zebu has become a popular choice among traders and investors looking for a cost-effective and efficient trading experience.
### Key Features of Zebu
- **Advanced Trading Platforms**: **Mynt Zebu** and **Zebu Trade** are the firm's flagship trading platforms, offering real-time data, advanced charting tools, and seamless trade execution. Users can easily access their accounts through the **Zebu login** or **Mynt Zebu login** portals.
- **Competitive Brokerage Fees**: **Zebu** offers some of the most competitive brokerage charges in the industry, with a focus on transparency and affordability.
- **Comprehensive Trading Tools**: The **Zebu brokerage calculator** allows traders to estimate their trading costs accurately, helping them make informed decisions.
### Zebu Pricing
#### **Account Opening Charges**:
- **Trading Account Opening Fee**: ₹0 (Free)
- **Demat Account Opening Fee**: ₹0 (Free)
#### **Annual Maintenance Charges (AMC)**:
- **Demat Account AMC**: ₹300 per annum
#### **Brokerage Charges**:
- **Equity Delivery**: 0.10% of the transaction value or ₹20 per order, whichever is lower
- **Equity Intraday**: 0.01% of the transaction value or ₹20 per order, whichever is lower
- **Futures**: 0.01% of the transaction value or ₹20 per order, whichever is lower
- **Options**: ₹20 per lot
- **Currency Futures & Options**: ₹20 per order
- **Commodity Trading**: 0.01% of the transaction value or ₹20 per order, whichever is lower
#### **Other Charges**:
- **Call and Trade Charges**: ₹20 per call
- **DP Charges**: ₹15 per debit transaction
### FAQs on Zebu
1. **Is Zebu better than Generic Broker?**
**Zebu** and **Generic Broker** are both popular discount brokers in India. While Generic Broker is known for its advanced trading tools and extensive user base, Zebu offers competitive brokerage charges and user-friendly platforms like **Mynt Zebu**. The choice between the two depends on your specific trading needs.
1. **Which broker has the lowest fees?**
**Zebu** is among the brokers offering some of the lowest fees in the industry, particularly with its competitive pricing on equity delivery and intraday trades.
1. **Which is the lowest brokerage charges?**
**Zebu** offers low brokerage charges starting from 0.01% for intraday trades and ₹20 per order, making it one of the cost-effective options for traders.
1. **What is the brokerage fee at Zebu?**
The brokerage fee at **Zebu** includes 0.10% or ₹20 per order for equity delivery, 0.01% or ₹20 per order for intraday and F\&O trades, and ₹20 per lot for options.
1. **Who is the owner of Zebu?**
**Zebu** is owned by Vijayakumar V., who leads the company's strategic initiatives and operations.
1. **Who is India's No 1 stock broker?**
**Generic Broker** is widely regarded as India's No. 1 stock broker in terms of active clients and market share. However, **Zebu** is gaining popularity due to its competitive pricing and efficient services.
1. **Which brokerage was used by Rakesh Jhunjhunwala?**
Rakesh Jhunjhunwala, one of India's most successful investors, was known to use **Kotak Securities** for his trades.
1. **How do I calculate a brokerage fee with Zebu?**
Brokerage fees with **Zebu** can be calculated using the **Zebu brokerage calculator** available on their website. This tool helps you estimate the cost of your trades based on the transaction value and selected trading segment.
1. **Which broker gives 20x margin?**
**Zebu** offers margin trading services, but the exact margin depends on the segment and the stock being traded. For specific leverage offerings, refer to their margin calculator or contact their customer support.
1. **How much do brokers charge per trade?**
The charge per trade at **Zebu** is typically ₹20 or a percentage of the transaction value, depending on the type of trade (intraday, delivery, F\&O, etc.).
1. **Which stock broker has the lowest brokerage charges?**
**Zebu** is among the stock brokers with the lowest brokerage charges, especially for intraday and F\&O trading.
1. **What is the margin requirement at Zebu?**
The margin requirement at **Zebu** varies depending on the trading segment. For intraday trades, Zebu offers up to 20x leverage, while for delivery trades, the leverage is lower. Specific margin requirements can be checked using the **Zebu margin calculator**.
:::
---
// File: charts/index
## Charts on AlgoTest
:::info
[**Link to AlgoTest's FREE Charts.**](https://algotest.in/finnifty-index-chart?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product-feature\&utm_term=index-chart)
:::
Are you tired of struggling to find a platform that provides straddle, strangle, or multi-leg option charts? Ever wanted to trade while looking at these charts but didn't know where to find them?
Look no further because [AlgoTest](https://algotest.in/register?utm_source=blogs\&utm_medium=organics\&utm_campaign=seo) has you covered!\
Introducing [AlgoTest Charts](https://algotest.in/finnifty-index-chart?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product-feature\&utm_term=index-chart), a fantastic feature that allows you to access straddles, strangles, and multi-leg option charts for free.
With AlgoTest Charts, you have everything you need for successful trading in one place. From analysing your trades to enhancing your trading skills and making informed decisions, AlgoTest has got you covered.
What's even better about AlgoTest Charts is that you can supercharge your trading with advanced charting tools and indicators for straddles, strangles, and multi-leg options. Say hello to a whole new level of trading confidence and success with AlgoTest Charts!
If you trade SENSEX options, check the [**Live SENSEX Option Chain**](https://algotest.in/sensex-option-chain) before selecting your strikes. You can compare Call and Put OI, Change in OI, volume, LTP, IV, Greeks, PCR and Max Pain for the selected expiry.
### Signals AI — Chart Preview
AlgoTest's[ **Signals AI** ](https://algotest.in/feature/signals/indicators)takes charting a step further. Once you've defined your strategy conditions in Signals AI, you can jump to the **Chart Preview** section to see exactly when and where your strategy would have entered or exited trades, plotted directly on the chart.
This is especially useful when you want to validate that your indicator-based conditions (EMA crossovers, RSI levels, etc.) are triggering at the right points before you go live.
**Key features available in Chart Preview:**
- **Time Frame** — Switch between 1 min, 5 min, 15 min, and more to evaluate how the strategy performs across different intervals.
- **Candle Type** — View price action in Candlestick, Heikin Ashi, or other formats to match your analysis style.
- **Indicators** — Overlay indicators like EMA, RSI, and MACD on the chart to visually validate your strategy conditions.
- **Entry Signals** — See the exact candles where your strategy generated buy/sell entries based on defined conditions.
- **Exit Signals** — Clearly visualise where the strategy exited — whether via stop loss, target, or condition-based exit.
- **Maximize/Minimize** — Expand the chart for deeper analysis or collapse it for quick navigation while editing your strategy.
[Explore Signals AI Chart Preview →](https://docs.algotest.in/Signals-AI/Signals-Visualization/Chart-preview/)
## How to use Charts on AlgoTest
Visit [AlgoTest](https://algotest.in/finnifty-index-chart?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product-feature\&utm_term=index-chart) and log in to your account. Then click on the profile icon, as shown in the image below.
Now, click on the charts button to view charts in AlgoTest.
You will be able to view option[ ATM straddle charts](https://algotest.in/blog/how-to-use-a-straddle-chart-for-intraday-options-trading/), as shown in the image below.
### Selecting Instrument
You can select the instrument from the drop-down menu, as shown in the image below. For example, if you want to view the option charts for Nifty, you will select "Nifty" here.
If you want to see the underlying spot line chart along with option charts, you can enable the Show Underlying feature. This will display the underlying line chart along with the option charts.
The blue line chart represents the underlying line chart as shown in the image below.
### Legs (Select Option Strikes)
In the "Legs" section, you can add or delete future/option legs. By default, you will be able to view an ATM CE and PE legs added there. You can delete them by clicking on the delete or clear button as shown in the image below.
Now to add an option chart, add a leg by clicking on the "add leg" button and select the leg or legs from the option chain that you want to add, then view the chart.
Going forward, you will have the ability to view the option chain and add option legs to see the corresponding chart. For example, if you want to view the current week's straddle chart, you would select the current week expiry, choose the strike, indicate whether you want to buy or sell the option, and then click on 'plot chart' as depicted in the image below.
You can now view the At The Money straddle chart in AlgoTest. Additionally, you have the option to add up to 6 legs and view multi-leg charts.
### Prebuilt Strategies
In the "Prebuilt Strategies" section, you can view prebuilt templates of advanced strategies such as Strangle, Straddle, Bull Call Spread, Bear Put Spread, Iron Fly, and Iron Condor. You can easily view the chart of these advanced strategies with just one click.
Simply click on one of the prebuilt strategies to view its corresponding chart. For example, if you want to see the chart for the iron condor, click on 'iron condor,' and you will be able to view the plotted chart as shown in the image below.
[*Learn How to Use AlgoTest Strategy Builder for a Monthly Iron Condor*](https://algotest.in/blog/how-to-use-strategy-builder-iron-condor/)
### Time Frame
Understanding the impact of the timeframe is crucial in trading. As a scalper, shorter time frames are ideal, while trend followers often prefer higher time frames. AlgoTest Charts empowers you to customise the timeframe to your preference.
*(Blog - [How to Use a Straddle Chart for Intraday Options Trading)](https://algotest.in/blog/how-to-use-a-straddle-chart-for-intraday-options-trading/)*
By default, the chart displays a 1-minute timeframe, but you have the flexibility to adjust it, as demonstrated in the accompanying image. This feature ensures that you have the freedom to tailor your trading experience to best suit your unique strategy and preferences.
### Candle Type
There are numerous fascinating types of candlestick charts that traders love to explore, such as Japanese candlesticks, Heikin-Ashi candlesticks, bar charts, and line charts. Depending on your personal preferences, you can choose the chart type that resonates with you.
AlgoTest Charts provides a diverse range of chart options, allowing you to easily select your preferred chart type. Simply click on the Candle button and choose the chart type that suits your trading style and goals.
### Indicator
Indicator, as the name suggests, is a crucial tool that empowers traders to confidently navigate the decision of whether to buy or sell a stock. This powerful tool is widely utilised by traders to inform their trading decisions, either in combination with price action or independently.
When you explore AlgoTest Charts, you'll discover a wide array of indicators that you can effortlessly apply to your charts, enhancing your trading journey. What sets AlgoTest Charts apart is the capability to apply indicators on straddle/strangle/multi-leg option charts, providing you with valuable insights and options.
To integrate an indicator into your chart, simply click on the indicators button, and a comprehensive list of indicators will be displayed, as illustrated in the image below. This user-friendly interface ensures that you can make informed decisions and optimize your trading experience with ease.
You can also search for your favorite indicator and select it to apply on the charts.
You can now see your indicator on the chart as depicted in the image below.
### Advanced Tools
In the world of trading, every trader brings their unique style to the table, making the trading landscape wonderfully diverse. There's a wide array of tools at our disposal, allowing us to tailor our approach to match our individual preferences. Some traders rely on support and resistance, while others find trendlines or Fibonacci retracement more effective. Then some swear by specific chart patterns like head and shoulder, triangle, Elliott waves, and cypher, just to name a few.
When utilised effectively, these tools can truly provide an extra edge that sets us apart from other traders. AlgoTest Charts offers a rich variety of these advanced tools, catering to a diverse range of trading strategies, including straddle, strangle, and multi-leg option charts. For enhanced trading strategy development, you can use a range of built-in charting tools and indicators such as **Fibonacci**, **Pitchfork**, **Patterns**, **Trendlines**, and more. These tools help you analyse market structure and make more informed decisions.
\
---
// File: clicktrade/index
## ClickTrade
**ClickTrade** is an end-to-end options trading ecosystem designed to eliminate the friction of juggling multiple tools and broker terminals.
Whether you are replaying historical market events via an interactive, scrollable timeline to backtest performance, optimising entry paths through pre-trade analysis, or making live repairs to your strategy based on real-time payoffs, ClickTrade provides the granular control and automated alerts needed to manage your trades with precision.
Learn more about how you can integrate[ **Strategy Builder**](https://docs.algotest.in/clicktrade/strategy-builder/), a high-fidelity **Historical Simulator**, and live execution with **60+ brokers** into a single interface. ClickTrade streamlines your workflow from ideation to execution.
---
// File: clicktrade/simulator/getting-started
## Accessing the Simulator
To access the simulator feature in AlgoTest follow some simple steps as shown below.
**Step 1.**
Go to the [Algotеst](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) website, sign up for a free account, and log in to your account.
**Step 2.**
Now click on "Simulator" as shown in the image below :
Step 3. You will be able to view the dashboard of the simulator as shown in the image below.
## User Interface
In this section, we will get a basic overview of what are the key features of the Simulator and how to use them.
### Selecting a Time Period
Using this feature, you can access historical data of option strikes for a specific instrument in the option chain for the selected period. This data can be used to backtest or simulate your strategy. For instance, if you plan to sell an At-The-Money Call (CE) option on May 20, 2020, at 09:30, you would select that date and time here.
### Historical Option Chain
It will display all the option data for the date and time that we have chosen in the date & time section. For instance, if we select May 20, 2020, and 09:20 as the time, it will show the historical prices for the given date at 09:20.
You can select the underlying, expiry, strike price, and position type, and create a strategy according to your rules by using a simple drag-and-drop visual interface. You can view a visual representation of an ATM Straddle Sell strategy as shown in the image below.
### Positions
In this section, you can view and edit the positions you create in the option chain, as shown in the image below. Additionally, you can square off or delete a position.
### Payoff Graph
In this section, you will be able to analyse your strategy visually. By using a payoff graph, you will be able to visualise the maximum loss or maximum profit your strategy can make. Additionally, you will be able to see how much profit or loss your strategy will make depending on the movement of the underlying.
### Initiating Simulation
In this section, you will be able to simulate the strategy across multiple time intervals. For example, you can use a feature called AutoPlay. This feature simulates your position according to the time intervals you set. For instance, if we set it to 1 minute per second, it means it will automatically simulate our strategy every 1 second, moving from 09:20 to 09:21 and then to 09:22, and so on, showing you how your strategy performs every 1 minute.
You can manually simulate your strategy by moving in 1/3/5/30-minute,1-hour or 1-day increments with each click.
---
// File: clicktrade/simulator/introduction
## Introduction to Option Chain and AlgoTest's Simulator
Understanding option chains is crucial for traders who want to make well-informed decisions in the options market. An option chain displays all available option contracts for a specific underlying asset, providing details such as strike prices, expiration dates, last traded price (LTP), and important metrics like delta and IV (implied volatility).
[AlgoTest's new Simulator feature](https://algotest.in/feature/simulator) helps users analyse and test their trading strategies using historical option chain data. This allows traders to simulate past market conditions, assess the performance of their strategy, and make adjustments before implementing them in live trading. Ultimately, it helps traders refine and optimise their options trading approach.
### Overview of Option Chain
Option Chain may be defined as a list of all option contracts. It covers both calls and puts a certain security. It is also known as an Option Matrix.
Skilled users can utilise the Option Chain to determine the direction of price fluctuations. It also aids in identifying the instances at which a high or low amount of liquidity arises. Typically, it allows traders to assess the depth and liquidity of individual strikes.
It displays all available calls and puts options contracts for a particular underlying security (like a stock or ETF) on an exchange. Each contract represents the right, but not the obligation, to buy or sell the underlying security at a specific price (strike price) by a specific date (expiration date).
The option chain organises this information in a way that's easy to understand. Here are some key elements you'll typically find:
- [**Strike Prices**](https://docs.algotest.in/features/leg-builder/#strike-type): A range of prices at which you can buy or sell the underlying security.
- **Call Contracts**: A call is an option contract that grants the owner the right, but not an obligation, to buy underlying securities at a certain price within a given timeframe.
- **Put Contracts**: Put options offer the option holder the right, but not the responsibility, to sell an underlying security at a given price within a given timeframe.
- **Expiration Dates**: The date by which you must exercise your option to buy or sell. An option's expiration is the specific date and time when the option contract becomes invalid.
- **Option Greeks**: The Greeks are letters that represent important measurements of an options contract. They help assess how the price of an options contract may be affected by changes in the underlying security's price (Delta), volatility (Vega), rate of change of the option's delta(Gamma), and time decay (Theta). Understanding the Greeks can help you make better decisions about which options to trade and when to trade them.
- **Bid-Ask Spread**: The difference between the highest price a buyer is willing to pay (bid) and the lowest price a seller is willing to accept (ask) for an option contract.
Through a thorough analysis of the option chain, investors can gather valuable insights into the prevailing market sentiment, potential price fluctuations, and the associated costs of various options strategies. This analysis allows traders to make more informed decisions and develop effective trading strategies based on the information gleaned from the option chain.
### Overview of AlgoTest Simulator
Have you ever considered the potential of creating a profitable strategy? Would you like to assess the past performance of your strategy? Are you eager to test your discretionary or rule-based strategy using historical option chain data? How about exploring a risk-free environment where you can fine-tune your strategy without financial concerns? Imagine being able to analyse and optimise your strategies according to market conditions without any real money risks!
The AlgoTest Simulator is a user-friendly tool designed to help traders analyse and improve their trading strategies using historical market data. It lets users recreate past market conditions, assess their strategies' performance across different periods, and identify strengths and weaknesses before investing real money. The Simulator provides detailed performance indicators, trade insights, and visual representations of data, making it an essential resource for both new and experienced traders looking to make well-informed trading decisions.
*Related Blogs*
1. [How to Read Nifty Option Chain](https://algotest.in/blog/how-to-read-nifty-option-chain-step-by-step-for-traders/)
2. [How to Read and Analyse Sensex Option Chain](https://algotest.in/blog/how-to-read-and-analyse-sensex-option-chain/)
### Benefits of using AlgoTest Simulator
Here are some key advantages of using AlgoTest Simulator:
1. **Backtesting**: AlgoTest Simulator allows you to backtest your strategies using historical option chain data, helping you determine their past profitability, associated risks, and rewards. This data-driven approach supports decision-making when trading a particular strategy.
2. **Advanced Analytics**: AlgoTest Simulator provides advanced analytics for your strategy, including Max Profit, Max Loss, Risk Reward, and Breakeven, helping you fine-tune your strategy based on your risk appetite.
3. **Advanced Visualisation**: AlgoTest Simulator offers a visual representation of your strategy, including a payoff graph, allowing you to assess maximum potential loss and profit based on underlying movements. This advanced visualisation tool assists in making better decisions and optimising your strategy.
4. **Strategy Optimisation**: AlgoTest Simulator helps in optimising your strategy based on market conditions. For instance, if you realise that the risk-reward ratio of your strategy is not favourable in a certain market environment, you can adjust and optimise it accordingly.
5. **Scenario Analysis**: AlgoTest Simulator assists in analysing different scenarios, allowing you to review past data and identify effective strategies for upcoming events like elections. Additionally, you can analyse strategies using payoff graphs to determine potential gains or losses based on market movements.
6. **Increase Confidence**: AlgoTest Simulator helps build confidence in your trading strategy by allowing you to backtest and understand its strengths and weaknesses, enabling you to make informed decisions.
7. **Increase Profitability**: AlgoTest Simulator enables you to fine-tune your strategy to increase profitability by designing strategies suited to different market conditions and optimising them accordingly.
---
// File: clicktrade/simulator/setup
## **Selecting the Time Period**
First, you need to select the period on which you want to simulate/backtest your strategy.
For that, you need to visit the simulator section by clicking on the simulator button as shown below
It will show you the simulator dashboard as shown in the image below :
Now you select the date and time at which you want to backtest/simulate your strategy. The time period section will look like it does in the image below.
For example, I want to sell an ATM CE option on 20 May 2020 at 09:30, So I will select 20 May 2020 here as shown in the image below.
## **Loading Historical Data in the Simulator**
In Section 3.1, we learned how to select the time period for simulating our strategy. Once the time period is selected, historical data will be loaded, and the default option chain of the Nifty Instrument will be displayed. Next, we need to choose the underlying and expiry date of the instrument for which we want to load historical data and backtest our strategy.
### Selecting Underlying
To select the underlying asset for your strategy in the option chain, click on the dropdown menu as indicated below.
You can select and set the underlying asset from the dropdown menu shown in the image below.
For example, if you want to create a strategy for Nifty, you should select Nifty here. This will allow you to view the option chain for the underlying asset Nifty and the historical last traded price (LTP) based on the selected time period.
### Selecting Expiry
Now, we need to select an expiry for loading historical data and backtesting/simulating our strategy. We can select from different expiries available here.
Depending on the selected expiry, the historical LTP for the chosen expiry will be displayed for the selected time period.
## **Strategy Creation in the Simulator**
Let's dive into the exciting world of building your first options strategy. Here's a breakdown of the essential steps involved
1. **Selecting the Underlying Asset**: Recall from the previous section, you'll first need to choose the index you want to trade option on. This selection populates the Simulator with the relevant option chain.
1. **Expiry Date Selection**: Select the expiration date for your options contracts according to your preference.
1. **Picking Your Options Type**: Decide whether you want to buy call options (bullish outlook) or put options (bearish outlook) based on your market expectations.
2. **Strike Price Selection**: Choose the strike price at which you want the right to buy or sell the underlying asset. This selection significantly impacts the cost and potential returns of your strategy.
3. **Quantity Input**: Specify the number of option contracts you want to include in your strategy. This determines your overall exposure and potential profit/loss.
By following these steps and utilising the visual representation of the option chain provided by the Simulator, you can easily construct basic options strategies, such as buying a single call option (bullish) or put option (bearish).
## **Creating an Iron Fly in the AlgoTest Simulator**
Follow the steps below to create your first strategy:
Step 1. Go to the [\[Algotеst\]](https://algotest.in/) website, sign up for a free account, and log in to your account.
Step 2. Now click on "Simulator" as shown in the image below
Step 3. You will get an interface as shown in the image below.
Step 4. Now add the legs from the option chain according to the strategy that you want to build. Assume if we want to build an iron fly we will sell ATM CE and ATM PE and buy OTM CE and OTM PE from the option chain as shown in the image below:
Step 5. You can analyse your strategy using the different tools provided by AlgoTest.
- In the Analysis section that you will find on the right side of the option chain, the Simulator provides you tools like Payoff graph, Maximum Profit, Maximum Loss, Risk Reward, Break Even Point, etc to analyse your strategy. A payoff graph is a very useful tool that helps you to determine how your position is going to end till expiry concerning the underlying move.
- In the Greeks section, the AlgoTest Simulator provides you with information about Option Greeks like Delta, Theta, Gamma, IV, Vega, etc. for your positions as shown in the image below.
## **Prebuilt Strategy Template**
AlgoTest Simulator offers you some prebuilt strategy templates that you can use.
To access the Prebuilt strategy, follow some simple steps as shown below
- Click on the Simulator button on AlgoTest.
- Click on the position button as shown in the image below.
- Select the strategy you want to apply in AlgoTest's Options Simulator.
- You will be able to see that the strategy has been applied in the simulator.
### Straddle
This strategy involves buying or selling options contracts with the same strike price and expiration date of the underlying asset. In a long straddle, a trader buys both a call and a put option. This strategy is used when the trader expects a significant price movement in either direction. On the other hand, in a short straddle, a trader sells both a call and a put option. This strategy is implemented when the trader expects the market to remain within a narrow range and not move significantly in either direction.
### Strangle
This strategy involves buying or selling options contracts with different strike prices but the same expiration date of the underlying. In a long strangle, a trader buys a call and a put option. A trader implements a long strangle strategy when they expect a large price movement in either direction. In a short strangle, a trader sells a call and a put option. A trader implements a short strangle strategy when they expect the market to be within the range of the strikes they sell.
### Bull Call Spread
A bull call spread is a trading strategy that entails purchasing a call option with a lower strike price and at the same time selling a call option with a higher strike price, both with the same expiration date. Typically, this involves buying an at-the-money (ATM) call option and selling an out-of-the-money (OTM) call option. The difference in strike prices depends on the level of aggressiveness you want for the trade. This strategy is suitable when you have a moderately bullish outlook on the underlying asset.
### Bear Put Spread
A bear put spread is a trading strategy that entails purchasing a put option with a higher strike price and at the same time selling a put option with a lower strike price, both with the same expiration date. Typically, this involves buying an At-The-Money (ATM) Put Option and selling an Out-of-The-Money (OTM) Put Option. The difference in strike prices depends on how aggressive you want the trade to be. This strategy is suitable when you have a moderately bearish outlook on the financial instrument.
### Iron Fly
The Iron Fly strategy is a multi-leg options strategy that includes selling at-the-money (ATM) call and put options while simultaneously buying out-of-the-money (OTM) call and put options with the same expiration date. This strategy is suitable when you expect the underlying asset to remain within a narrow price range. Traders realize the maximum profit when the market stays near the ATM strike sold by the traders.
### Iron Condor
The Iron Condor is a multi-leg options strategy that includes selling out-of-the-money (OTM) calls and put options while also buying even further OTM calls and put options with the same expiration date. This strategy aims to be delta-neutral, meaning that traders can potentially profit more when the market remains stable and doesn't move significantly in either direction. The maximum profit is achieved when the market stays within the range of the sold call and puts strike prices.
## **Advanced Strategy Options**
Once you're comfortable with basic strategy creation, you can venture into the world of advanced options strategies. These strategies involve combining multiple option contracts to achieve specific goals, such as limiting risk, generating income, or profiting from a range-bound or directional market.
Here's an overview of some popular advanced strategies you can explore within your AlgoTest Simulator:
### Calendar Spread
This strategy involves buying and selling options contracts with the same strike price but different expiration dates. It allows you to capitalize on time decay (Theta) and potentially profit even if the underlying asset price doesn't move significantly.
### Bull Put Spread
A bull put spread involves buying a put option with a lower strike price and simultaneously selling a put option with a higher strike price, both having the same expiration date. Normally, it involves buying an out-of-the-money (OTM) put option and selling an in-the-money (ITM) put option. The difference in strike depends on the aggressiveness of the trade you want to take. You can implement this strategy when you are moderately bullish on the instrument.
### Bear Call Spread
A bear call spread involves buying a call option with a higher strike and selling a call option with a lower strike, both expiring on the same date. Normally, it involves buying an out-of-the-money (OTM) call option and selling an in-the-money (ITM) call option. The difference in strike depends on the aggressiveness of the trade you want to take. You can implement this strategy when you are moderately bearish on the instrument.
### Ratio Spread
A ratio spread is an advanced options strategy in which a trader holds a different number of long and short options. As the name suggests, the buy and sell options are held in a specific ratio, such as 2:1, where 2 quantities can be short options and 1 quantity can be a long option. This strategy involves buying an at-the-money (ATM) call or put option and selling more than one quantity of the same option. It is typically implemented when the market is expected to remain relatively stable. However, there are different variations of the ratio spread that can be used if you are slightly bullish or bearish in the market.
### Diagonal Call/Put Strategy
This strategy is an advanced version of the Calendar Spread. It involves buying or selling options with different strike prices and expiration dates. It is created by selling or buying an in-the-money (ITM) call or put option for the current week and selling or buying an out-of-the-money (OTM) option for the same underlying asset for the following week. This strategy is used when traders have neutral bearish or bullish views.
### Futures + Options Combined Strategy
The AlgoTest Simulator feature allows you to incorporate futures contracts into your options strategies. Futures contracts represent an agreement to buy or sell an underlying asset at a specific price by a certain date. By including futures in your strategy, you can create more advanced structures that cater to diverse market outlooks.
For instance, you might combine an ATM long call option (bullish) with a short future contract (completely bearish) of the same underlying to create a strategy that profits if the underlying asset price decreases but limits your potential losses if it skyrockets.
Experimenting with different futures combinations within the Simulator allows you to explore a wider range of options and strategies and tailor them to your specific market views.
## **Analysing the Strategy**
The AlgoTest Simulator offers traders the flexibility to comprehensively analyse their trading strategies, enabling them to develop advanced strategies customised to their unique risk profiles.
Unleash the power of advanced insights and tools for analysing option strategies!
### Payoff Graph
AlgoTest Simulator displays a payoff graph alongside your chosen options. This graph is a powerful tool that visually represents the potential profit or loss you can expect at different underlying asset prices on the expiration date.
Here's how to interpret the payoff graph:
- X-axis: Represents the price of the underlying asset.
- Y-axis: Represents your potential profit or loss.
- Line: The line on the graph depicts your strategy's current payoff at different underlying asset prices.
- Blue Line: The line represents your potential profit and loss at different underlying prices on the expiry date.
By analysing the payoff graph, you can assess the potential risk-reward profile of your strategy before committing to real capital. It allows you to visualise how much you could potentially gain under various market scenarios and identify your maximum potential loss.
### Total MTM
It displays the current total profit or loss (realised + unrealized) of your strategy. It helps you to visualise the running MTM in real time and make adjustments and trade decisions based on your strategy's PNL.
### Maximum Profit
It shows the maximum profit your strategy can achieve by expiration if the market moves in your favour. You can use this information to adjust your strategy according to your desired maximum reward.
### Risk/Reward
The risk-reward ratio shows how the risk in your strategy compares to the potential reward. It is calculated by dividing the risk by the potential reward. By understanding your risk tolerance, you can use this information to create a strategy that provides a good potential reward for the level of risk you are comfortable with.
### Maximum Loss
It displays the potential maximum loss that your strategy may face if the market moves in the opposite direction of your prediction. This information can assist you in developing a strategy that matches your risk tolerance.
### Margin Approx
It indicates the approximate margin required to execute this strategy with the broker, providing advance knowledge to avoid margin calls.
### Breakeven
The breakeven point represents the price at which your position would result in neither profit nor loss upon expiration. In the accompanying image, the breakeven range spans from 22553 to 22847. Should the underlying asset close near these values, no profit or loss would be incurred. However, should it fall below 22553 or exceed 22847, losses would begin to accrue.
### POP
POP stands for Probability of Profit, indicating the likelihood of earning at least \$0.01 in profit from the specified strategy.
---
// File: clicktrade/simulator/simulation
To start a simulation, go to the simulator section and click on the "Simulator" button, as depicted in the image below on AlgoTest.
Please take note of the following text:
Now, select the date on which we want to simulate our strategy. In our case, we want to simulate on budget day, i.e., 1st Feb 2024. So, we will select 01 Feb 2024 in the time period option, as we have learned in section 3.1. Also, select the time at which we want to initiate our iron fly. We will select 09:20 here. You can view the settings as shown in the image below.
It will load the historical LTP data on the option chain for February 1, 2024, at 09:20. Then, we will create an iron fly strategy on the option chain by selling the at-the-money (ATM) call and put options and buying the 3-strike away out-of-the-money (OTM) options, as shown in the image below.
On the right side, you will be able to view the payoff graph and Greeks. These tools will help you analyse your strategy. For example, you will be able to see the maximum profit or loss if the strategy goes in your favour or against it.
Now we have applied our iron fly in the simulator. To simulate our strategy, we have two options: automatic simulation or manual simulation.
## Autoplay Feature
The Autoplay feature in the AlgoTest Simulator makes it easier to test trading strategies. It automatically moves through historical data based on the chosen time frame. Once you set up a strategy and select a time period, you can use the Auto Play function to start the simulation. The feature progresses through each minute, carrying out the strategy's trades using historical market conditions. You can adjust the playback speed to watch the strategy's performance in real time or faster. This continuous playback lets traders efficiently analyse how their strategies would have performed over extended periods without going through each day manually. Throughout the simulation, important performance measurements and visualisations are updated in real time, providing immediate feedback and insights.
To use this feature, simply select the playback speed by clicking on the arrow icon at your desired speed for auto-running the simulations, as shown in the image below.
Assume we want to adjust the speed so that it moves 5 minutes forward every 1 second. We will select 5 minutes per second as shown in the image below.
Click on the Autoplay button to run the simulation, as shown in the image below.
Now you can see that the simulation has started and is advancing 5 minutes every 1 second. In the image below, you can see that it has moved from 09:16 to 09:21 in 1 second.
Moving forward, after 1 second, it has advanced from 09:45 to 09:50, and our total MTM has now reached 1870.
We can pause or unpause the autoplay to analyse our strategy during the simulation by clicking on the "play" and "autoplay" buttons.
This feature allows for continuous simulation and testing of your strategy on historical data until you decide to pause the simulation. It is particularly helpful for users who wish to automate the simulation process and avoid manually clicking forward step by step.
## Manual Simulation
The AlgoTest Simulator includes a Manual Simulation feature, which enables traders to test their strategies step by step using historical data. Traders can set up their strategy and time frame, and then use the manual mode. In this feature, traders have complete control over the simulation, allowing them to move through each minute or specified time interval manually. The simulator continuously updates the strategy's performance metrics and visualisations with each step, providing detailed feedback on how the strategy performs under different market conditions. Traders can pause the simulation to analyse specific trades, adjust parameters, and make informed decisions based on real-time data updates. This mode is helpful for in-depth analysis, allowing traders to scrutinise each trade and understand how the strategy behaves in different scenarios. This detailed approach helps traders understand market dynamics and optimise their trading strategies.
To use this feature, simply select the time you want to move forward or backwards. For example, if we are at the position at 09:20 and want to move to 09:21, we will click on +1m. This will show us the simulation at 09:21.
You can advance the simulation by specific time intervals such as 1 minute, 5 minutes, 30 minutes, 1 hour, or 1 day with just a single manual click. For instance, if you want to move forward by 30 minutes, you can simply click on the "+30 minutes" button, which will move the simulation from 09:21 to 09:51, as depicted in the image below.
One advanced feature provided by the algotest simulator is the ability to drag the time to any point in the day by simply moving the cursor forward, as illustrated in the image below. For example, if we want to move from 09:51 to 11:40, we can do this in one click using this tool.
---
// File: clicktrade/simulator/analysis-adjustment
## Real-Time Analysis of Strategy
The AlgoTest simulator allows traders and analysts to analyse historical data in real-time, providing a powerful tool for refining and validating trading strategies. This feature enables users to backtest their options strategies against historical market data and receive immediate feedback on performance metrics. By simulating trades with past data in real-time, users can observe how their strategies would have performed under different market conditions, gaining insights into potential strengths and weaknesses. This real-time analysis of historical data helps in identifying patterns, testing hypotheses, and understanding the impact of various market scenarios on trading outcomes. Moreover, it enables traders to optimise their strategies before deploying them in live markets, thereby reducing risk and increasing confidence. The ability to analyse historical data in real-time within the AlgoTest simulator ultimately enhances the precision and effectiveness of trading decisions, bridging the gap between theoretical analysis and practical application. When you apply a strategy in the simulator you will be able to view and analyse your strategy as per the tools given in the analysis section as shown in the image below.
By running the simulation and advancing it by 1 hour, you can observe the real-time simulation and analysis of the strategy, as depicted in the image below. These tools allow you to refine your strategy based on current market conditions. For instance, if we notice that our MTM reaches 1800 at 09:49, we can make adjustments to our strategy accordingly.
We get detailed insights such as Total MTM, Maximum Profit, Maximum Loss, Breakeven, etc. during real-time simulations. These insights help us fine-tune our strategy according to market trends and develop a robust strategy that aligns with market conditions.
We also receive visualizations of insights that provide information on how our MTM (mark to market) will perform based on the underlying movement and how much we stand to gain or lose if the underlying asset expires at a specific price. In simple terms, it gives us a clear understanding of how our MTM will move in response to changes in the underlying asset.
In the Greeks section, you can view the Greeks while simulating your strategy in real-time. Greeks are important metrics that help you understand how option pricing will move according to market conditions. Using these Greek values while simulating a strategy will give you an edge over other traders.
## Trade Management/Adjustments
AlgoTest Simulator offers advanced features that help you manage your position and make real-time adjustments during simulations. These features provide you with high flexibility in customising your strategy to match the market scenario and create a robust approach according to your preferences.
To manage your position in real-time during simulation, simply click on the position tab as indicated in the image below.
### Square off
You can close any position by clicking on the square-off button also shown in the image below. This feature allows you to lock in profits or cut losses within your strategy, helping you create a robust plan that can adapt to market conditions.
You can also reverse the decision to square off a leg by clicking on the undo button, as shown in the image below. This option will be helpful if you want to reconsider the decision to square off any of the legs.
### Add a Leg
When conducting a simulation, adjusting an existing position and adding a new one with a different strike is a common practice for many option traders. In the AlgoTest Simulator, you can easily accomplish this with just a few clicks. Simply navigate to the option chain, select the leg, and then choose the new position as shown in the accompanying image.
Leg will be added and you will be able to see that the new leg has been added to the strategy.
### Custom Prices
You have the option to adjust the entry and exit prices for any of the positions by clicking on the "trades" button and entering the desired price, as shown in the image below. This feature allows you to manually modify the entry price according to your preferences, enabling you to design your strategy based on actual market conditions. For instance, you can incorporate some slippage into the available price to reflect real-life scenarios.
Similarly, you can enter the custom exit price of a squared off leg as shown in the image below.
### Custom Quantity
Customising lot sizes during a simulation is very helpful. If you run a simulation and later want to see the impact of trading with a quantity that is different from the original, adjusting the lot size can help you fine-tune your strategies for different position sizes.
### Custom Position Type
You can easily switch the position type from buy to sell or sell to buy with just a single click.
### Enable/Disable a Position
You have the option to enable or disable a toggle to temporarily add or remove a running position from the strategy. This feature helps you fine-tune your strategy during real-time simulation according to your personal preferences. For example, if you are testing a strategy with multiple legs and realise during simulation that the strategy may perform better without certain legs, you can disable them and see how the strategy performs without those legs.
---
// File: clicktrade/simulator/advanced-features
AlgoTest Simulator offers advanced features that can elevate your trading to a new level. Trading is a zero-sum game, requiring you to outsmart other traders to make significant profits. AlgoTest Simulator provides advanced features that give you an edge over your counterparts.
## **Add/Edit Alerts**
When simulating your strategy, you may have specific levels at which you want to take action, such as exiting your strategy or certain parts of it when the mark-to-market (mtm) value reaches Rs 1000. However, tracking mtm during automated simulations can be challenging. To address this, AlgoTest offers a feature called Alerts. This feature will alert you when your desired mtm/level is reached during a real-time simulation of historical data, enabling you to take action accordingly.
You can access this feature by clicking on "Add/Edit Alerts," as shown in the image below
You can set alerts for specific features as shown in the image below.
Let's delve deeply into each feature and understand how they work.
### Stop Loss Alert
This feature enables you to set a stop-loss alert on individual legs. As soon as the leg crosses our stop-loss price, an alert will be generated so that we can take action based on that. This feature is very helpful when we want to simulate a strategy where we want to limit the loss per leg.
### Target Alert
This feature allows you to set a target alert for an individual instrument leg. When the instrument leg reaches the target price, an alert will notify us so that we can take appropriate action. This feature is very helpful for simulating a strategy focused on profit booking for each leg.
### Overall Target Alert
This feature enables you to set an overall target alert on the overall strategy. As soon as the overall profit crosses our target value, it will give us an alert so we can take action based on that. This feature is very helpful if we want to simulate a strategy where we want to exit the strategy at a fixed profit.
### Overall Stop Loss Alert
This feature enables you to set an overall stop-loss alert for your strategy. As soon as the overall loss crosses the stop-loss value defined by you, you will receive an alert. This feature is very helpful for simulating a strategy where you want to exit at a fixed amount of loss.
### Based on Underlying
This feature enables you to set an alert based on the movement of the underlying asset. Your trading strategy may be directional or non-directional, and you may want to be alerted if the index reaches a certain range or moves out of a range that you define. This alert can be created using the Underlying Alerts feature.
### Based on Delta
This feature allows you to set an alert based on the overall delta value of the strategy. As a trader, you may want to backtest a strategy where you exit or adjust your trades based on the overall delta value. This feature allows you to do that.
For example, you can set an alert to notify you if the delta of the overall strategy drops below 0.05. To do this, you would set the "Alert when Delta is Less than" value to 0.05. When the delta value crosses below 0.05, an alert will be generated.
## **Import Strategy from Strategy Builder**
AlgoTest Simulator provides traders with an advanced feature to import strategies from the strategy builder. Users can also review their past trades made in the strategy builder. Have you ever encountered difficulties saving and analysing past trade data to improve strategies and correct mistakes made during live trading? With the AlgoTest Simulator, worry no more. It offers a feature to replay trades made using the strategy builder. Traders looking to enhance their trading skills can discover the benefits of analysing past trades and mistakes. Using the AlgoTest Simulator makes it very easy to analyse past trades.
To utilise the "Import Strategy from Strategy Builder," simply access the simulator by clicking on the simulator button, as demonstrated in the image below.
Now, click on the "Import Strategy from Strategy Builder" button, as shown in the image below.
Now you can select the strategy you want to import from the list of strategies in the strategy builder and then click on "import".
It will display the trade executed by your strategy using the AlgoTest Strategy Builder in the past. It will also indicate the timing, as shown in the image below.
On the right side, you will be able to access the analysis section, where you can also analyze this strategy in real-time.
You can also check the upcoming trades for this strategy using the strategy builder.
Now you can run the simulation either manually or by using the auto-play feature, which will automatically simulate the AlgoTest simulator as shown in the image below.
If we advance our simulation to the next trade, you will be able to see the new trades added, and the analysis graph in the analysis section will change in real-time.
To be a successful trader you need to learn from your old mistakes quickly. This is an advanced tool for traders who are serious about trading. Using this feature you can view the replay of the trades taken by you in past. Now that you have all the data of trades taken by you, you can analyse your strategy and mistakes and keep on improving as per the market conditions.
---
// File: clicktrade/simulator/index
# Simulator
## Introduction to AlgoTest's Simulator
Introduction and Getting Started
- [Introduction to the Historical Option Chain and AlgoTest's Simulator](https://docs.algotest.in/clicktrade/simulator/introduction/)
- [Getting Started with the Simulator](https://docs.algotest.in/clicktrade/strategy-builder/introducing-strategy-builder/benefits/)
Setting Up and Running Simulations
- [Setting up the Simulator](https://docs.algotest.in/clicktrade/simulator/setup/)
- [Running a Simulation](https://docs.algotest.in/clicktrade/simulator/simulation/)
Features and Analysis
- [Analysis and Adjustment Features](https://docs.algotest.in/clicktrade/simulator/analysis-adjustment/)
- [Advanced Features](https://docs.algotest.in/clicktrade/simulator/advanced-features/)
***
## [Access AlgoTest's Simulator](https://algotest.in/feature/simulator?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=simulator)
---
// File: clicktrade/strategy-builder/Strategy-Builder-Alerts
Strategy Builder Alerts let you create notifications for individual strategies or strategy groups. You can receive alerts via email, Telegram, or Web for important events such as MTM or Delta changes, helping you track strategy activity without constantly monitoring the screen.
## Enabling Alerts on New Strategies
You can set up alerts while creating, forward testing and algo trading a new strategy.
1. Log in to your AlgoTest account.
2. Go to **ClickTrade → Strategy Builder**.
3\. Create your own strategy or choose from our prebuilt templates.
4.You can either forward test it or live trade. (You can set up alerts on both conditions)
5\. Click on **Add Alert**.
6\. Select the parameters you want alerts for.
7\. Connect your **Email or Telegram** to receive notifications.
## Setting Alerts on Existing Strategies
You can edit or add alerts to strategies you’ve already created.
- Select a strategy from the top-left of the Strategy Builder dashboard.
- Click on **Edit Alerts**.
- Modify or delete alert parameters as needed.
## Setting Alerts for a Group of Strategies
You can apply the same alert configuration to multiple strategies at once.
Group alerts and individual strategy alerts work independently.
Example for adding alerts to a group of strategies
- Now the user can add alerts on a combination of strategies, which means the overall pnl and delta of the combined strategy will be monitored. The alert you are applying will not apply to the strategy individually.
- For example, if you set an MTM target alert of 500rs, it will only trigger when the profit of all strategies selected in the group goes to 5000rs
The group alert will monitor all strategies together, while the individual alert will monitor only the selected strategy.
- Select multiple strategies from the Strategy Builder dashboard.
- Click on **Add Alerts** on strategies.
- Configure parameters and connect Email or Telegram just like on individual strategies.
## Managing Alerts
You can view, track, and manage all alerts from a single place, with **two entry points** to access them:
- **From the Strategy Sidebar:** Click the **Manage Alerts** button available directly in the strategy sidebar.
- **From the Risk Dashboard:** Navigate to the **Risk Dashboard** from the Strategy Builder to add, edit, or monitor alerts.
From the **Manage Alerts** section, you can view:
- Pending alerts
- Triggered alerts
- Alert details (instrument, strategy, timestamp, type, values)
- You can go to Manage Alerts directly from 'group of strategies' as well.
For any queries, you can reach out to our [Telegram support channels.](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
---
// File: clicktrade/strategy-builder/view-available-margin
While placing a trade from Strategy Builder, you can view your broker's **last fetched Available Margin** and **Blocked Margin** before executing the strategy.
This helps ensure sufficient funds are available before placing orders.
## How to View Broker Margin
1. Go to **Strategy Builder**.
2. Build your strategy.
3. Proceed to the **Order placement window**.
4. Select your broker.
5. The **Available Margin** and **Blocked Margin** will be displayed for the selected broker.
6. You can also view Available and Blocked Margin on broker setup under 'my brokers'.
## Important Points to Remember
- Margin values are fetched from the selected broker whenever supported.
- The displayed values represent the last successful fetch.
- If the broker does not support margin APIs, AlgoTest will display internally calculated blocked margin instead.
---
// File: clicktrade/strategy-builder/vrp-analysis-tool
# VRP Analysis Tool
## What is the VRP Analysis Tool?
The [**VRP Analysis**](https://algotest.in/vrp-analysis?utm_source=vrp-dashboard\&utm_medium=docs\&utm_campaign=organic) is a powerful tool that helps you understand market‐volatility dynamics and make informed options‐trading decisions. It shows the difference between what the market *expects* volatility to be (Implied Volatility) versus what actually happens (Realized Volatility).
> **Quick example**\
> If the market predicts NIFTY will be volatile at **18 %** over the next 30 days, but it actually moves at only **15 %**, there’s a **3 %** premium built into option prices.\
> This 3 % gap is the **Volatility Risk Premium (VRP)**.
***
## Getting Started
### 1. Access the VRP Dashboard
1. Log into **[AlgoTest](https://algotest.in/?utm_source=vrp-dashboard\&utm_medium=docs\&utm_campaign=organic) to access the VRP analysis tool:**
> *Limit: A maximum of 100 strategies (combined across Live Trade and Forward Test) can be monitored at a time.*
Here is how all strategies from Strategy Builder are shown on the Risk Dashboard.
Here is how all strategies from Trade Bridge are shown on the Risk Dashboard.
### 2. Manual Inclusion for Existing Strategies
- Strategies created before are **not auto-included**.
- You need to **manually select** which of your existing (non-archived) strategies should appear in your Risk Dashboard. This is a **one-time action**.
### 3. Archived Strategies Are Excluded
- **Archived strategies** will **not be included** in the Risk Dashboard.
- If you'd like to monitor them again, simply **unarchive** and **re-include** them (subject to the 100-strategy limit).
### 4. MTM Column in Positions View
- A new **MTM (Mark-to-Market)** column has been added to the **Positions View**.
- You can now track real-time profit/loss **directly in the positions panel**.
### 5. Strategy Monitoring Limit & Warning
- Once you cross the **100 monitored strategy limit**, AlgoTest will show a warning when you try to add a new one:
> Please archive some old strategies and include this strategy in the monitored list.
### Monitor Button for Manual Control
- Each strategy in the dashboard now has a **“Monitor” toggle**.
- Use it to **select which strategies contribute to your Risk Dashboard**.
- This gives you control over what’s monitored, especially useful for power users managing many strategies.
> ***The same process is applicable for Forward Test.***
***
---
// File: clicktrade/strategy-builder/earnings-calendar
# Earnings Calendar
The **Earnings Calendar** on [AlgoTest](https://algotest.in/) is a live, auto-updating view of upcoming financial results for NSE-listed companies. It shows earnings announcements from the NSE every hour and displays key information such as:
- Stock name and symbol
- Quarter of result (e.g., 2025–26 Q1)
- Earnings announcement date
- Current price and % change
- Last updated time
You can also filter to view only F\&O (optionable) stocks and toggle between upcoming and historical earnings data.
## How Useful It Is
Earnings releases are high-volatility events, they often lead to large price movements in the underlying stock or its options. The Earnings Calendar helps traders:
- Prepare in advance for earnings-related volatility
- Build or avoid positions around earnings
- Discover trades like **straddles, strangles, or directional bets** based on earnings expectations
With real-time tracking and tagging of new/updated/deleted entries, this tool keeps you updated on any earnings-related changes as they happen.
The **Earnings Calendar is deeply integrated with the Strategy Builder**. For each upcoming earnings:
- You’ll see a **“Trade” button** next to that stock.
- Clicking it takes you directly to the Strategy Builder, pre-filled with:
- That stock
- The relevant expiry
- Ideal setup timing based on earnings
This creates a seamless flow from **event detection → strategy creation → deployment**.
## How Traders Can Use This Feature
Algo traders can use the Earnings Calendar to:
- Identify stocks with upcoming results
- Filter down to stocks in the **F\&O segment** for option strategy planning
- Check when a stock’s earnings date **coincides with expiry**, which may offer high-IV setups
- Create earnings-based trading strategies quickly using the **Trade** shortcut
- Avoid deploying live strategies on days with unexpected earnings, reducing unwanted risk
## How to Use It
1. Go to [AlgoTest Dashboard](https://algotest.in/dashboard) and click on Earnings Calendar
1. Default view shows all **Upcoming** earnings
1. Use filters at the top:
- Search: Find by name/symbol
- F\&O toggle: Show only optionable stocks
- Tabs: Toggle between Upcoming and Historical
1. Look for the “Trade” button next to stocks, these are often earnings-on-expiry opportunities
1. Watch for stocks marked as:
- **New** – just announced
- **Updated** – recently changed
2. Use earnings date and days left to plan your trades
## Example
Let’s say **Titan (TITAN)** is shown in the calendar:
- Earnings Date: 07 Aug 2025
- Quarter: 2025–26 Q1
- Price: ₹3,409.3 (↓ 0.60%)
- Last Updated: Thu, Jul 17 2025
- “Trade” button is visible
That means:
- TITAN has earnings on Aug 7 (likely expiry day)
- AlgoTest detected this recently (on Jul 17)
- You can click “Trade” to build a position directly tied to this earnings event
## How to Take a Trade Through This
1. Click the **“Trade” button** beside the stock
2. You’ll be redirected to the **Strategy Builder**
1. AlgoTest will:
- Preselect the stock
- Preselect the nearest expiry (same or after earnings date)
2. You can now:
- Set up a **straddle**, **strangle**, or **custom spread**
- Run a **backtest** to check past performance around earnings
- Deploy as a **live trade** or **forward test**
- Use filters like IV, premiums, or stop-loss in your strategy
This lets you convert insights from the earnings calendar into executable strategies in seconds.
---
// File: clicktrade/strategy-builder/ivp-ivr
# IV Percentile (IVP) & IV Rank (IVR)
AlgoTest now supports a robust and actionable view of **Implied Volatility Percentile (IVP)** and **Implied Volatility Rank (IVR)**, designed with precision using **constant maturity implied volatility** and displayed in a unique **cross-sectional quadrant view**.
These tools help you better understand what implied volatility (IV) is doing today versus its own historical behavior, not just for a single stock or index, but across multiple symbols simultaneously.
## What Are IVP and IVR?
| Term | Meaning |
| ----------------------- | ------------------------------------------------------------------------------------- |
| **IV Percentile (IVP)** | Where today’s IV stands in the last 1-year range, measured as a percentile. |
| **IV Rank (IVR)** | Where today’s IV stands compared to the highest and lowest values over the past year. |
These metrics are commonly used by option traders to assess whether options are relatively cheap or expensive.
## Significance:
### Uses Constant Maturity IV
Most platforms in India calculate IVP/IVR using the raw IV of front-month options. This leads to distortion because:
- A 30-day option behaves very differently than a 2-day option.
- Raw IV comparison across different expiries is apples-to-oranges.
**AlgoTest uses 30-day constant maturity IV** to normalize this.
This ensures:
- IV values are consistent across time.
- IVP and IVR reflect the *true change* in implied volatility over time.
### Provides Cross-Sectional Analysis
Instead of just showing IVP/IVR stock-by-stock, AlgoTest gives you a **Quadrant View** where you can:
- Sort stocks and indices by IVP, IVR, or IV
- See how multiple names behave **together** on a single plot
- Visualize volatility spikes, regime shifts, and quiet periods
This makes it easier to spot patterns, outliers, and opportunities.
## Accessing the Feature
1. Go to **Builder + Simulator → IV Rank & IV Percentile**
1. You'll see a table of stocks/indices with:
- 30-day constant maturity IV
- IVP and IVR values
1. Click **Graphh** to open the IVP/IVR scatter plot
## Understanding the Quadrants
The quadrant graph plots:
- **X-axis** → IV Percentile (IVP)
- **Y-axis** → IV Rank (IVR)
This forms 4 distinct zones, each offering a different narrative.
### Quadrant 1: High IVP, High IVR
> “Volatility has spiked recently and is near extreme levels.”
- Both IVP and IVR > 50
- IV is elevated both in percentile and rank
**Implication**: Options are expensive. Good opportunity for option sellers—provided risk is managed.
### Quadrant 2: Low IVP, Low IVR
> “Volatility is depressed across the board.”
- Both IVP and IVR close to zero
- IV is at historic lows
**Implication**: Consider long option strategies if you expect a move
⚠️ **Caution**: Low IV ≠ Cheap IV. You should always compare IV with **Realized Volatility (RV)** to assess edge.
### Quadrant 3: High IVP, Low IVR
> “Volatility recently spiked after being low for a long time.”
- IVP > 50, IVR \< 50
- Suggests a **short-term volatility spike**, possibly due to news or sudden market action
**Use case**: Spotting event-driven trades or breakout setups
### Quadrant 4: Low IVP, High IVR
> “Sustained elevated volatility regime.”
- IVP low but IVR high
- Indicates that IV has been high for an extended period
**Interpretation**: Stock or index may have entered a **new volatility regime**
*Use case: Detecting macro-level sentiment shifts*
## Why This View Matters
Most platforms only show IVP/IVR stock-by-stock and use **non-normalized IVs**.
**AlgoTest:**
- Uses **constant maturity 30-day IVs**
- Offers a **cross-sectional visual tool**
- Gives **actionable context**, not just raw stats
This makes it easier to:
- Spot regime shifts
- Identify short-term volatility opportunities
- Avoid false positives from noisy IV readings
#### Have any questions?
- Email: [support@algotest.in](mailto\:support@algotest.in)
- Join: [Telegram ClickTrade Channel](https://t.me/AlgoTest_Discretionary)
---
// File: clicktrade/strategy-builder/index
import Iframe from "../../../src/components/Iframe";
# Understanding AlgoTest's Strategy Builder
## Important Links
📘 Introduction to Strategy Builder
- [Introduction to Strategy Builder](https://docs.algotest.in/strategy-builder/introducing-strategy-builder/)
- [Understanding the Option Chain](https://docs.algotest.in/clicktrade/simulator/introduction/)
- [Strategy Builder Interface](https://docs.algotest.in/clicktrade/strategy-builder/introducing-strategy-builder/interface/#understanding-the-algotest-strategy-builder-interface)
- [Benefits of Strategy Builder](https://docs.algotest.in/clicktrade/strategy-builder/introducing-strategy-builder/benefits/)
⚙️ Setting Up
- [Setting up the Strategy Builder](https://docs.algotest.in/clicktrade/strategy-builder/setting-up/)
📊 Creating and Managing Strategies
- [Creating and Managing Strategies](https://docs.algotest.in/clicktrade/strategy-builder/creating-managing-strategies/)
- [Basic Strategy Creation](https://docs.algotest.in/clicktrade/strategy-builder/creating-managing-strategies/)
- [Pre-Built Strategies](https://docs.algotest.in/clicktrade/strategy-builder/creating-managing-strategies/prebuilt-strategies/)
- [Advanced Strategy Options](https://docs.algotest.in/clicktrade/strategy-builder/creating-managing-strategies/advanced-strategy-options/)
- [Analysing Strategies](https://docs.algotest.in/clicktrade/strategy-builder/creating-managing-strategies/analysing-strategy/)
🎮 Playground
- [Playground](https://docs.algotest.in/clicktrade/strategy-builder/playground/)
📝 Paper Trading and Analysis
- [Paper Trading and Analysis](https://docs.algotest.in/clicktrade/strategy-builder/paper-trading-analysing/)
📈 Live Execution and Trade Management
- [Live Execution and Trade Management](https://docs.algotest.in/clicktrade/strategy-builder/live-execution-trade-management/)
✨ Additional Features
- [Additional Features](https://docs.algotest.in/clicktrade/strategy-builder/additional-information/)
## AlgoTest's Strategy Builder - Quick Guide
[AlgoTest's Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) is a tool to help you create, test, and execute trading plans (strategies) for options trading. Here's how it works in simple steps:
## Getting Started
1. Visit the [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) website, sign up for free, and log in.
2. Click on "Strategy Builder" in the menu bar at the top.
### Building Your Strategy
1. Think about what options you want to trade (Strike price, Expiry, etc.) and how you want to manage risk.
2. Use the Strategy Builder to add these options to your strategy (like building an Iron Fly Strategy).
### Testing Your Strategy
AlgoTest lets you see how your strategy might perform in different market situations.
- **Payoff Graph**: This shows how much money you could make or lose based on price movements.
- **Greeks**: This gives you advanced info about how options can react to market changes.
- **Monte Carlo Analysis**: This is an advanced way to see how your strategy might perform across 10000 different price paths that the underlying could take until expiry.
### Trading Your Strategy
1. If you're happy with your strategy, you can try it out with virtual money (paper trade).
2. You'll need to connect your AlgoTest account to your broker to trade for real.
3. Once connected, you can choose to place your trades or manage existing ones.
## AlgoTest Strategy Builder: How does it work?
### Creating and Setting up your strategy
1. Go to the [Algotеst](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) website, sign up for a free account, and log in to your account.
2. Now click on "Strategy Builder" as shown in the image below :
3. You will get an interface as shown in the image below.
4. Now add the legs from the option chain according to the strategy that you want to build. Let's assume we want to build an [:iron
fly](https://docs.algotest.in/product-blogs/options-trading-terms/#62iron-butterfly) we will sell ATM CE and ATM PE and buy OTM CE and OTM PE from the option chain as shown in the image below :
1. You can analyse your strategy using the different tools provided by AlgoTest.
### Analysing your strategy
#### In the Analysis section
Strategy Builder provides you tools like Payoff graph, Maximum Profit, Maximum Loss, Risk Reward, Breakeven Point, etc to analyse your strategy. A payoff graph is a very useful tool that helps you to determine how your position is going to end till expiry concerning the underlying move.
#### In the Greeks section
Strategy Builder provides you with information about Option Greeks like [:Delta
](https://docs.algotest.in/product-blogs/options-trading-terms/#33-delta), [:Theta
](https://docs.algotest.in/product-blogs/options-trading-terms/#35-theta), [:Gamma
](https://docs.algotest.in/product-blogs/options-trading-terms/#34-gamma), [:IV
](https://docs.algotest.in/product-blogs/options-trading-terms/#38-implied-volatility), [:Vega
](https://docs.algotest.in/product-blogs/options-trading-terms/#36-vega), etc. for your positions as shown in the image below.
#### In the Monte Carlo Analysis Section
Your PnL will depend highly on the underlying index's path. Monte Carlo Analysis is an advanced method to see how your strategy will perform on average across 10000 different price paths that the underlying could take until expiry. You can access this feature by clicking on "Monte Carlo Analysis" as shown in the image below.
#### In the Scenario Analysis Section
Scenario Analysis allows you to evaluate how your strategy performs under **specific market conditions** by simulating predefined scenarios such as **price increase, price decrease, time decay, or volatility change**. Instead of relying on random paths, this analysis helps you understand the **impact of individual factors** on your PnL and risk exposure. It is especially useful for checking how your strategy behaves during sharp moves, sideways markets, or near expiry—giving you greater clarity and control before deploying the strategy.
### Executing your strategy
- Now Assuming that we want to execute our Iron Fly then we have two options if we want to paper trade our strategy or want to execute on broker. To execute your strategy for live trade your broker should have logged into your[ AlgoTest account](https://algotest.in/login). To learn how to set up a broker [:Click
Here.](https://docs.algotest.in/category/broker-setup/)
- To Execute your strategy for live trading, click on the "Live Trade with" button as shown in the image below. Learn more about live trading here.
- It will ask to select Broker. Select a broker (if not already connected, you can set up a broker as shown in the image below) and save the strategy with a random name.
- Now, click on "Place All Orders" to execute our strategy. We also have the option to choose if we want to set the order type as limit or market.
- You can manage your position on the "positions" tab. Here you get options to add another trade or squareoff existing positions as shown in the image below.
- You can check the status of orders in the order window as shown in the image below :
- You can track your positions by various information provided in the analysis tab as shown in the image below :
## Tips for Success
- Know what you want to achieve before building your strategy.
- Use the tools to test your strategy in different scenarios and improve it.
- Stay updated on market conditions to adapt your strategies.
- Regularly review and update your strategies as markets change.
### Disclaimer
This guide is a simplified explanation and only for demonstration purposes. Exploring the [AlgoTest Platform](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) and resources is always a good idea to learn more.
---
// File: clicktrade/strategy-builder/additional-information/accessing-past-strategies
# Accessing Past Strategies
Throughout your options trading journey, you'll likely develop and experiment with numerous strategies. Here's why archiving your past strategies within the builder is beneficial:
## How to Archive Strategies
[AlgoTest Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) offers archive functionality. This allows you to save your constructed options strategies for future reference.
You can archive a strategy by visiting the strategy builder in Algotest and clicking on the "strategies" button, as shown in the image below.
Click on the archive button as shown in the image below to archive your desired strategy.
## Accessing Archived and Past Strategies
To access archived strategy follow some simple steps:-
- To access the archived strategy, go to the strategy builder on AlgoTest and click on the "strategies" button as indicated in the image below.
- Click on the Show Archived button to view the archived strategy.
- To unarchive, click on the unarchive button as shown in the image below.
A well-organized archive of your past strategies provides several advantages:
- **Review and Refinement**: You can revisit past strategies, analyze their performance, and identify areas for improvement. This can be particularly helpful when encountering similar market conditions in the future.
- **Adapting to Market Changes**: Options strategies need to adapt to changing market dynamics. By having a record of your past approaches, you can identify elements that worked well in specific scenarios and adapt them to the current market environment.
- **Developing a Trading Journal**: Your archived strategies, along with their performance analysis, can form the foundation of a comprehensive trading journal. This journal serves as a valuable learning tool, allowing you to track your progress, identify recurring mistakes, and develop your overall options trading expertise.
By leveraging the archive functionality of strategy builder, you can transform your options trading into a continuous learning process. Consistently analyzing and refining your strategies based on past experiences is a vital step toward becoming a successful options trader.
Lastly, AlgoTest strategy builder is a powerful tool that can equip you to navigate the exciting yet complex world of options trading. By understanding these concepts, utilizing the features offered by strategy builders, and continuously analyzing and improving your strategies, you can increase your chances of success in this dynamic market.
---
// File: clicktrade/strategy-builder/additional-information/margin-estimate
## Margin Estimation
Options trading often involves margin requirements. Margin is a deposit you must hold with your broker to cover a portion of the potential risk associated with your options positions. Understanding margin requirements is crucial for effective options trading.
Here's how [AlgoTest Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) can assist you with margin estimation:
## Using the Margin Calculator API
- **Estimated Margin Display**: With the integrated API, the builder can display the estimated margin requirement for your constructed strategy before you execute the trade. This helps you understand the upfront capital commitment needed for your options position.
## Benefits of Using Margin Estimation Tools
| Benefit | Description |
| ---------------------- | -------------------------------------------------------------------------------------------------------------------------------- |
| Improved Planning | Allows you to plan your trades by considering the margin requirement upfront |
| Risk Management | Helps you manage your risk by ensuring you have sufficient capital to cover the margin requirement |
| Avoiding Capital Calls | By knowing the estimated margin, you can avoid potential margin calls from your broker if the market moves against your position |
Understanding margin requirements is essential for responsible options trading. By utilizing the margin estimation tools offered by AlgoTest strategy builders, you can make informed decisions about your options positions and effectively manage your trading capital.
---
// File: clicktrade/strategy-builder/additional-information/multi-broker-connect
## Connection with Multiple Brokers
[AlgoTest Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) offers the ability to connect with multiple brokers. This functionality can be highly advantageous for options traders.
You can login multiple brokers on the broker setup page in [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) as shown in the image below.
To know how to login your broker in AlgoTest [:click
here.](https://docs.algotest.in/category/broker-setup/)
### Advantages of Multi-broker Connectivity
- **Order Execution Flexibility**: With multiple brokers connected, you can potentially execute your options strategy directly from the builder's interface in any broker, streamlining the trading process.
- **Account Management**: Strategy builders allow you to view your positions across different brokerage accounts, providing a consolidated view of your options portfolio.
- **Click Management**: Traders can manage different positions on different brokers with a single click.
### Reducing Operational Risk
Connecting multiple brokers can also help mitigate operational risks. If one broker experiences technical difficulties or has limited option offerings, you can still execute your strategy through another connected broker.
Carefully evaluate the pros and cons before deciding if this feature aligns with your trading needs.
---
// File: clicktrade/strategy-builder/additional-information/loss-limiter
# Loss Limiter for Options Trading
It's not just **Red Bull** and **KFC** that give you wings! [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) gives you wings as well.
:::info
We are excited to announce our new feature **Loss Limiter** which can save you from unlimited losses.
***
A loss limiter is a way to identify and automate the process of finding and adding suitable hedges(wings) to your options strategies.
:::
## Why Loss Limiter?
Sometimes during heavy market movements the Stop Losses on your Straddles or Strangles might get skipped. This could potentially lead to heavy losses for your running strategies.
***
To make sure this doesn't happen, you can define the risk by hedging your strategy using wings.
**The loss limiter helps you to find the hedge legs to save you from unlimited losses with just one click.**
:::note
This feature is available for both the [:Simulator
](https://docs.algotest.in/simulator/) and [:Strategy
Builder](https://docs.algotest.in/strategy-builder/).
:::
## On the **Strategy Builder**
- First go to the [Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) page and create a position with unlimited loss.
- Here we have sold a strangle that has unlimited loss, but we can limit the loss by adding hedge legs (wings) to it by using the **Loss Limiter** feature. We just have to click on the loss limiter button which can be found on just below of unlimited loss.
- After clicking on the **Loss Limiter** button it will show you an option to enter the max loss value that we want for this position. After adding the value it will find the wings for our position which reduces our unlimited loss close (but not the same) to the value we entered.
For eg. - Let's say here we want our maximum loss for this position to be Rs. 7000 so we will enter Rs. 7000 value and, will click on **"Find Wings"**.
- After clicking on add wings it will find the wings which will make our maximum loss close to Rs. 7000.
### What if you want to change your Loss Limiter Value?
- If you want to try a different maximum loss value in the loss limiter you'll first you have to remove the current wings from the position tab. Click on the delete icon which can be found in front of your wings position to do so.
- After deleting the wings from your position you can now check your position with different maximum loss values.
- Let's say you now want the maximum loss to be Rs. 5820. You just have to enter Rs. 5800 in the Loss limiter and click on "Find Wings".
- The Loss Limiter will find the wings for your position in a way that makes your position's Max Loss close to Rs. 5800.
### Error State in Loss Limiter
- If your entered loss value is too low or too high the Loss Limiter will not be able to find wings for your position and it will show you an error.
To solve this error you just have to adjust your loss value.
## On the **Simulator**
- Similarly, the Loss Limiter can be used on the [Simulator](https://algotest.in/feature/simulator?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=simulator). You just have to click on the Loss Limiter which can be found just below the max loss in the Simulator page.
- After clicking on the Loss limiter add the maximum loss value that you want for your position and then click on "Find Wings" it will find the wings for your position in a way that will make your maximum loss close to the value which you entered in the Loss limiter.
---
// File: clicktrade/strategy-builder/additional-information/scenario-analysis
# Scenario Analysis | Strategy Builder
We are excited to announce our new feature Scenario Analysis which allows you to check various possible future scenarios of your strategies on Algotest's Strategy Builder. This feature can help you optimise your strategies in different market conditions such as any change in IV Offset, Spot, and Date(DTE).
For instance, if you believe the market is going to be trending or range bound, you can change the values of the three parameters (IV Offset, Spot, DTE) to see how this will affect your strategy.
The Scenario Analysis feature alongside Monte Carlo Analysis is one of the many features AlgoTest provides to help you assess the future performance of your strategies.
## [How to use Scenario Analysis On the Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder)
In the Scenario Analysis, There are three things on which you can change and check possible scenarios.
1. IV Offset
2. Spot
3. Date
Let's go through these parameters one by one
### IV OFFSET PARAMETER
:::info
AlgoTest calculates the IV of your current positions. You can change the IV of your positions by entering the value by which you want to change the IV. Or you can use the + and - arrows to do so.
:::
For example, if the IV is 15 for your current position and you want to see what happens when you offset the IV by 1. Click ‘+’ once. Now you will see how your POP, PnL, and other metrics will look like if the IV moves from 15 to 16.
The same applies if you want to see what happens when the IV is offset negatively.
- First go to the [Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) page and create a position of which you want to check the scenarios. For example we have created an Iron Condor with a defined risk and reward. a position of which you want to check the scenarios.
- Click on the Scenario Analysis on the strategy builder page.
- After clicking on the Scenario Analysis button it will show you a side panel like this.
- In the Scenario Analysis side panel, you can see an IV offset button on the top.
Let's understand with the help of an example how you can change the parameter and see the affected results.
For example, it is expected that there will be a surge in IV during Budget day or Election day. So you can check sustainability of your strategies and optimise it accordingly.
- Let's say there is an expected increase of 6-7 points in IV on an event day, So you can check the performance of your strategy by changing the value in IV offset parameter.
For the current example, IV for a particular strike is 11.64 and if we increase the IV by 5 points then you can see modified IV under the Greeks Section on Strategy Builder Page.
- You can also see the change in Total MTM. This shows how your Total MTM will be affected if there is an increase in IV Offset.
- You can always reset the parameter you changed, to see your original positions by clicking the reset button.
### SPOT PARAMETER
- By using Spot in the Scenario Analysis feature you can check how your strategy will perform if the Spot price of the index increases or decreases.
Let's say you sold a straddle when Finnnifty was trading at 26258 For using our Spot Parameter you can click on the Scenario Analysis button it will show you a side panel In the Scenario Analysis side panel, you can see the Spot Parameter in the middle of the side panel.
There is also a slider to move left and right if you want to change the value of the spot parameter.
Let's understand with the help of an example how you can change the Spot parameter according to your analysis and see the affected results.
For example, if you are expecting that spot price of finnifty will fall. So you can check how it will affect your positions by using our Scenario Analysis feature. Lets see how your positions will change if there is a fall of 2% from your current position and finnifty is trading at 26667.
- You can observe the change in Total MTM, which reflects how your Total MTM would be impacted by a 2% decline in Finnifty from its current price.
- Additionally, you can explore Scenario Analysis under various market conditions based on your analysis.
- If needed, you can revert to your original positions by clicking the reset button to undo any changes.
### Date/DTE
- You can also perform scenario analysis based on the number of days or the days till expiry. By adjusting the date, you can observe how your positions will be impacted after the specified number of days.
You can also see how your deployed strategy will perform as days till expiry reduces. To use the Date Parameter, click on the Scenario Analysis button, which will open a side panel. In the Scenario Analysis side panel, you'll find the Date Parameter located in the bottom.
There is a slider to the right if you want to change the Date.
Let's understand with the help of an example how you can change the date according to your analysis and see the affected results.
For example, if you want to do analysis based on the number of days and want to see how my strategy will perform after a particular number of days. Let's see how your positions will change if you change the values three days later.
- You can observe the change in Total MTM, which reflects how your Total MTM would be impacted after three days if the market remains around the same point.
- If needed, you can revert to your original positions by clicking the reset button to undo any changes.
Similarly, you can explore the Scenario Analysis Feature for various market conditions.
---
// File: clicktrade/strategy-builder/additional-information/stop-loss
## Stop Loss Feature on AlgoTest's Strategy Builder
The Strategy Builder on AlgoTest now enables you to directly place stop-loss orders for your open positions, providing improved risk management and streamlined trading. Follow this step-by-step guide to learn how to add a stop-loss order to your trades.
## How to set Stop Loss
### Step 1
- Login to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) and click on the Strategy Builder button.
### Step 2
- You need to navigate to the Position tab, which will display all of your positions according to the respective strategy.
### Step 3
- Click on the "stop loss" button for the position on which you want to add a stop loss.
- We have the option to choose the type of order - whether it's a Stop Loss Limit, Limit, or Market Order. Since we want to set a stop loss, we'll select a SL-L order. In this type of order, we can choose the trigger price and limit price as displayed in the image below. After providing the required inputs, we can click on "place order" to have it advanced placed on the broker end. If we want to set a stop loss to trigger at 8 and within a 1-point limit, we can put the trigger price as 8 and the limit price as 7.
- A Stop-Limit (SL-L) order with a trigger price of 8 and a limit price of 7 will be sent to your broker. It will be placed on your broker's pending orders list, and you will be able to view it in the [:order
window section](https://docs.algotest.in/strategy-builder/live-execution-trade-management/managing-positions/#using-the-view-positions-feature) in the Strategy Builder interface.
### Step 4
- Further, we can modify this order according to our requirements by clicking on the modify button.
- We can also cancel it by clicking the delete button.
- You can find your cancelled orders in the order window section.
:::info
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
:::
---
// File: clicktrade/strategy-builder/additional-information/stock-options
## Stock Options on Strategy Builder and Simulator
We are excited to announce the addition of Stock Options to our [Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) and [Options Simulator](https://algotest.in/feature/simulator?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=simulator). These powerful features allow traders to create, test, and execute Stock options strategies with ease. Whether you're backtesting using historical market data or placing long-term positional trades, the Strategy Builder offers a seamless experience across multiple brokers.
Starting with Reliance stock options, you can now access a robust platform for building and optimising your trading strategies.
## What Is a Stock Option?
Stock options (also known as equity options), are financial derivatives that allow traders to speculate on the price movements of an underlying stock without actually owning it.
## Using the AlgoTest Strategy Builder for Stock Options Trading
The Strategy Builder now enables users to efficiently place and manage orders for stock options. This powerful tool offers several key features designed to enhance your trading experience:
- **Monthly Positional Trades**: The Strategy Builder empowers you to place long-term trades specifically in both Monthly and Next-month Expiries, allowing you to create and deploy strategies that align with your investment goals. This feature is perfect for traders looking to capitalise on market trends over extended periods, offering greater flexibility and precision in timing your positions.
- **Earnings Trades**: Execute trades based on company earnings reports using the Strategy Builder. This functionality helps you capitalise on potential volatility around earnings announcements, allowing for strategic entry and exit points.
- **Broker Support**: The Strategy Builder is compatible with over 30 brokers, providing you with a seamless trading experience. This wide integration ensures that you can execute trades through your preferred brokerage platform without hassle.
### Current Stock Options List:
#### [RELIANCE (NSE)](https://algotest.in/nse-option-chain/reliance)
#### [AXIS BANK (NSE)](https://algotest.in/nse-option-chain/axis-bank)
#### [BAJAJ AUTO NSE](https://algotest.in/nse-option-chain/bajaj-auto)
#### [BAJAJ FINANCE NSE](https://algotest.in/nse-option-chain/infosys)
#### [HCL Technologies NSE](https://algotest.in/nse-option-chain/hcl-tech)
#### [HDFC Bank](https://algotest.in/nse-option-chain/hdfc-bank)
#### [Infosys](https://algotest.in/nse-option-chain/infosys)
#### [Polycab India](https://algotest.in/nse-option-chain/polycab)
#### [TCS](https://algotest.in/nse-option-chain/tcs)
#### [Tech Mahindra Limited](https://algotest.in/nse-option-chain/tech-mahindra)
#### [UltraTech Cement](https://algotest.in/nse-option-chain/ultratech-cement)
## How to Trade Stock Options On the Strategy Builder
This guide will help you use the Strategy Builder to trade stock options effectively. Learn to create trading using AlgoTest strategy builder.
### Step 1
- Login to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) and click on the Strategy Builder button as shown in the image below.
### Step 2
Click on the Option Chain bar to go to Option Chain.
### Step 3
Use the Underlying Selection dropdown menu to find and choose stock options for your strategy. This dropdown lists available underlying assets, allowing you to quickly navigate through and select the specific stock option you want to trade or analyse.
### Step 4
Choose the stock option you want to trade from the dropdown menu. For instance, you can select the Reliance stock option.
### Step 5
You can now view the option chain for the selected stock option. Additionally, you can choose between the current or upcoming expiry dates from the expiry date bar, as shown in the highlighted section below.
### Step 6
To createy our strategy, go to the Option Chain section, where you can view available options for different underlying assets. Select your desired positions to set up your strategy legs and you can also see strategy's payoff graph and other various parameters:
## How to Backtest Stock Options on the Simulator
Utilise the Options Simulator to backtest your strategies before executing them in the market. This feature allows you to analyse historical data and assess the performance of your strategies under various market conditions, helping you make informed decisions. Follow this step-by-step guide to learn How to use backtest Stock Options On the Simulator
### Step 1
To simulate the Stock Options using AlgoTest Simulator visit [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest)
### Step 2
Use the Underlying Selection dropdown menu to find and choose stock options for your strategy. This dropdown lists available underlying assets, allowing you to quickly navigate through and select the specific stock option you want to simulate.
### Step 3
Choose the stock option you want to trade from the dropdown menu. For instance, you can select the Reliance stock option.
### Step 4
When setting up a simulation for your strategy, you can select a specific date and time as the starting point. This allows you to replay market conditions from that exact moment, helping you analyse how your strategy would have performed in real-time scenarios. It's useful for testing and refining strategies based on past data.
### Step 5
To simulate your strategy, go to the Option Chain section, where you can view available options for different underlying assets. Select your desired positions to set up your simulation and evaluate your strategy's performance under various market conditions.
### Step 6
You can now simulate your strategy in the simulator using various timeframes. Additionally, you have the option to enable autoplay, allowing you to set a specific duration per second to control the playback speed.
You can manually simulate your strategy by moving in 1/3/5/30-minute,1-hour or 1-day increments with each click.
## Stock Option Chain on AlgoTest
AlgoTest provides access to free Stock Option Chain and Historical Stock Data for the following stocks in the Nifty50.
**FREE Stock Option Chain on AlgoTest**
### Free Stock Option Chain
#### [RELIANCE (NSE)](https://algotest.in/nse-option-chain/reliance)
#### [AXIS BANK (NSE)](https://algotest.in/nse-option-chain/axis-bank)
#### [BAJAJ AUTO NSE](https://algotest.in/nse-option-chain/bajaj-auto)
#### [BAJAJ FINANCE NSE](https://algotest.in/nse-option-chain/infosys)
#### [HCL Technologies NSE](https://algotest.in/nse-option-chain/hcl-tech)
#### [HDFC Bank](https://algotest.in/nse-option-chain/hdfc-bank)
#### [Infosys](https://algotest.in/nse-option-chain/infosys)
#### [Polycab India](https://algotest.in/nse-option-chain/polycab)
#### [TCS](https://algotest.in/nse-option-chain/tcs)
#### [Tech Mahindra Limited](https://algotest.in/nse-option-chain/tech-mahindra)
#### [UltraTech Cement](https://algotest.in/nse-option-chain/ultratech-cement)
---
// File: clicktrade/strategy-builder/additional-information/india-vix
# India Vix on Strategy Builder and Simulator
We are excited to introduce the newly integrated India VIX (Volatility Index) data within the AlgoTest [Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) and [Simulator](https://algotest.in/feature/simulator?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=simulator) tools.
India VIX, often referred to as the "fear gauge," measures market volatility and investor sentiment in the Indian stock market. By incorporating this critical index, traders and analysts can now enhance their strategies with volatility insights, allowing for more informed decision-making, risk management, and scenario testing.
> **You don't need to go to Tradingview or your broker to check India VIX**
## **What is India VIX? What does it have to do with market volatility?**
India VIX' full form stands for **India Volatility Index**.
The India VIX is a volatility index calculated by the NSE from the order book of NIFTY options. The best bid-ask quotes of near and next-month NIFTY options contracts traded on the NSE's F\&O segment are used for this. India VIX reflects investors' perceptions of market volatility in the near term, i.e. it portrays market volatility over the next 30 calendar days. The higher the India VIX number, the greater the predicted volatility, and vice versa. For instance, the current India VIX is 13.56 it indicates the market can be volatile within the same range either side, over the next 30 calendar days.
***
## Checking India Vix on AlgoTest
### Check India VIX On the Strategy Builder
#### Step 1
- Login to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) and click on the Strategy Builder button as shown in the image below.
#### Step 2
Click on the Option Chain bar to go to Option Chain.
#### Step 3
Now you can see the India VIX above the Option Chain as highlighted in the below image, you can analyse it and make your decisions accordingly.
### On the Simulator
#### Step 1
- Login to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) and click on the Simulator button as shown in the image below.
- Or you can directly visit our simulator page by visiting the [AlgoTest Simulator](https://algotest.in/feature/simulator?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=simulator)
#### Step 2
Here you can see the India VIX above the option chain, you can also see the change in the current day
#### Step 3
You can also check and analyse VIX past data by changing the date and time in the simulator using various timeframes. Additionally, you have the option to enable autoplay, allowing you to set a specific duration per second to control the playback speed.
## What does India VIX measure?
India VIX, also known as the India Volatility Index, measures the expected volatility in the Indian stock market over the next 30 days. It is derived from the prices of Nifty 50 index options and reflects the market's expectations of near-term volatility.
### Explanation
- India VIX represents the market's anticipation of future market movements, particularly uncertainty. A higher VIX indicates that market participants expect larger price swings (higher volatility), while a lower VIX suggests more stable market conditions.
- It is often referred to as the "fear gauge," as higher values can signal increased fear or uncertainty among investors.
## How India VIX is used in the stock market
1. **Sentiment Indicator:** Traders use India VIX as a gauge of market sentiment. High VIX levels may signal a turbulent or bearish market, while low VIX levels suggest stability or bullishness.
2. **Volatility-based Strategies:** Many traders create strategies based on the VIX levels. For example, during high volatility (high VIX), options sellers may demand higher premiums for writing options, while during low volatility (low VIX), premiums are lower.
3. **Hedging:** A rising VIX often correlates with falling stock prices. Traders may use it to hedge positions in anticipation of market drops, by buying put options or other instruments that benefit from increased volatility.
4. **Timing the Market:** Some investors might time their entry and exit in the stock market based on VIX trends. A very high VIX might be seen as a sign of panic selling, offering a buying opportunity, while a low VIX might indicate complacency and a potential correction.
Understanding the India VIX allows traders to better assess risk and potential opportunities in the market.
---
// File: clicktrade/strategy-builder/additional-information/skew
# Option Smile and Skew Viewer
AlgoTest's [Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) now supports a **dual view of the option volatility surface** directly inside the Strategy Builder. This includes:
- **Fixed Strike IV Curve**
- **Floating Strike IV Curve (Delta-based moneyness)**
These views help you visualize **volatility smiles** and **skews** for optionable stocks and indices in real-time.
## What Is the Volatility Smile/Skew?
Options across different strikes do not have the same implied volatility (IV). The plot of IV vs strike often forms a **curve**, commonly referred to as a **smile** or **skew**.
- A **smile** occurs when both OTM puts and calls have higher IV than ATM.
- A **skew** refers to asymmetry, e.g., puts having more IV than calls or vice versa.
AlgoTest helps you visualize this curve in two ways.
## 1. Fixed Strike View
Plots **implied volatility against absolute strike prices**.
### Key Use Case:
- Helps in understanding how IV behaves across strikes for the same expiry.
- Useful for identifying cheap/expensive strikes before placing spreads or wings.
## 2. Floating Strike View
Plots **IV against delta-based moneyness** (e.g. using 0.25Δ Put, ATM, 0.25Δ Call etc.).
### Key Use Case:
- Normalizes skew for changing spot prices.
- Better for comparing skews across stocks or time periods.
## Where to Find It
1. Go to **Strategy Builder**
2. Choose any **optionable symbol**
1. Navigate to the **IV Graph / Skew section**
2. Toggle between:
- **Fixed Strike**
- **Floating Strike (Delta view)**
> Available for **all optionable stocks and indices**
## Use Cases
| Scenario | View to Use | Why |
| ------------------------------- | --------------- | ----------------------------------------- |
| Selecting wings for Iron Condor | Fixed Strike | Helps detect cheapest OTM strikes |
| Comparing skew between stocks | Floating Strike | Delta-normalization makes comparison fair |
| Building volatility spreads | Both | Combine insights to find edge |
We’d love to hear your feedback at [support@algotest.in](mailto\:support@algotest.in) or in our [Telegram community](https://t.me/AlgoTest_Discretionary).
---
// File: clicktrade/strategy-builder/additional-information/illiquid
# Trading Illiquid Options Using IV as Reference
During earnings season or event-heavy periods, options traders often face the challenge of dealing with **illiquid contracts**, those with no bid/ask, no LTP (last traded price), no open interest, and no volume.
To help advanced traders navigate these gaps, **AlgoTest's [Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) now allows order placement in illiquid options using IV (Implied Volatility) as a reference point**.
> ⚠️ This feature is intended for **experienced traders only**. Beginners, proceed with caution.
## What’s the Problem with Illiquid Options?
Illiquid options often:
- Have **no bid or ask**
- Show **no last traded price (LTP)**
- Have **zero open interest (OI)** and **zero volume**
Yet, you may still want to trade them if:
- You're anticipating a **volatility spike** (e.g., earnings announcement)
- You're building a **custom spread** or **hedging far OTM risk**
But without price discovery, placing orders becomes guesswork.
## The AlgoTest’s Solution
AlgoTest now lets you **estimate a theoretical option price** using IV as a reference, so you can:
- Evaluate a fair value for illiquid strikes
- Place **limit orders** on contracts with no quotes
- Build complex structures with confidence
This estimation uses:
- The symbol’s **ATM IV**
- Strike moneyness
- Time to expiry
- A pricing model (e.g., Black-Scholes)
You get a **starting reference price** based on current implied volatility, even if the strike has no market depth.
## How to Use It
1. Open **Strategy Builder**
2. Select your symbol and expiry
3. Add a leg for a strike with no bid/ask
4. Enable **"Use IV to estimate price"** toggle (UI label may vary)
5. AlgoTest will compute a reference price using the IV curve
6. You can adjust and submit a **limit order** using this price
> The platform will **not place market orders** for such illiquid options to protect you from bad fills.
## Important Notes
- The computed price is **indicative**, not a live quote.
- This tool works best when **IV surfaces are relatively stable**.
- Always verify estimated prices and use conservative position sizing.
## Example Use Case
You’re preparing for earnings and want to:
- Sell a far OTM call with no live quotes
- IV is elevated and you expect it to crush post-event
- You toggle **IV-based pricing**
- AlgoTest calculates a fair value of ₹5.30
- You place a **limit order** at ₹5.30
This allows you to act with more confidence, despite zero liquidity on the screen.
***
## Who Should Use This?
| Experience Level | Recommended? |
| ---------------- | ------------------------- |
| Beginner | Not recommended |
| Intermediate | Use small quantities only |
| Advanced | Fully supported |
This is an **advanced tool** meant for traders who understand:
- IV surfaces
- Model-based pricing
- Risk in illiquid instruments
## Feedback
We built this feature for advanced traders who operate during earnings and event-driven trades.
Share feedback: [support@algotest.in](mailto\:support@algotest.in)\
Join the discussion: [Telegram Community](https://t.me/AlgoTest_Discretionary)
---
// File: clicktrade/strategy-builder/additional-information/OI-data
# Open Interest (OI) Data in Strategy Builder
AlgoTest's [Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) now integrates **NSE Open Interest (OI) data** directly into the **Strategy Builder**.\
This gives traders a clearer picture of market positioning and helps make more informed decisions while creating or analyzing strategies.
## What is Open Interest (OI)?
Open Interest represents the **total number of outstanding contracts (Calls or Puts)** that are not yet settled.
- Rising OI indicates **fresh positions being added** (long or short build-up).
- Falling OI indicates **positions are being closed** (long unwinding or short covering).
## Why OI Data is Important in Options Trading?
- **Market Sentiment**: OI combined with price movement helps identify whether positions are being built on the long or short side.
- **Support & Resistance Zones**: Strikes with **highest OI** often act as strong support (PUT OI) or resistance (CALL OI).
- **Identifying Traps**: Sudden shifts in OI can signal short covering rallies or long unwinding corrections.
- **Better Strategy Building**: Using OI data, traders can align option strategies with the broader market trend.
## How to View OI Data in Strategy Builder
When you open the **Option Chain** in Strategy Builder, you can view OI data alongside price and Greeks.
1. Select your instrument (Index or Stock F\&O).
The option chain shows **Call OI and Put OI** for each strike, helping identify where the market participants are concentrated.
1. Under the **Option Chain**, toggle between:
- **Spot / Synthetic FUT** as ATM reference.
- Display choices such as **LTP, OI, Greeks**.
1. Enable **Delta & IV, Open Interest, Illiquid Strikes, Near Strikes** for detailed analysis.
1. This is how it is shown in the strategy builder.
Large OI build-up at certain strikes signals **important support or resistance zones**. Traders can use this data to refine entry/exit points for strategies.
***
## Key Takeaways
- **Use OI with Price Action**: OI alone is not enough. Always analyze OI in conjunction with price movement.
- **High OI ≠ Always Reversal**: A strike with high OI might still break if fresh positions continue to build.
- **Dynamic Strategy Building**: With AlgoTest Strategy Builder, you can instantly visualize how OI positioning impacts your payoff, Greeks, and probability of profit.
By integrating **NSE OI Data** into Strategy Builder, AlgoTest enables traders to **bridge the gap between data and execution**, improving both analysis and strategy performance.
---
// File: clicktrade/strategy-builder/additional-information/index
# Additional Features and Tools
Beyond the core functionalities of building and analyzing options strategies, [Algotest Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) offers additional features and tools to enhance your options trading experience. Let's delve into these features.
## List of Topics
### [Accessing Past Strategies](https://docs.algotest.in/clicktrade/strategy-builder/additional-information/accessing-archiving-past-strategies/)
### [Margin Estimate](https://docs.algotest.in/clicktrade/strategy-builder/additional-information/margin-estimate/)
### [Multi-Broker Connection](https://docs.algotest.in/clicktrade/strategy-builder/additional-information/multi-broker-connect/)
---
// File: clicktrade/strategy-builder/creating-managing-strategies/basic-strategy-creation
# Basic Strategy Creation
Let's dive into the exciting world of building your first options strategy on [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
## Steps invovled in making a strategy
### Selecting the Underlying Asset
Recall from the previous section, you'll first need to choose the index you want to trade option on. This selection populates the strategy builder with the relevant option chain.
### Picking Your Options Type
Decide whether you want to buy call options (bullish outlook) or put options (bearish outlook) based on your market expectations.
### Strike Price Selection
Choose the strike price at which you want the right to buy or sell the underlying asset. This selection significantly impacts the cost and potential returns of your strategy.
### Expiry Date Selection
Select the expiration date for your options contracts, considering the factors discussed in section 2.2.2 (short-term for quick movements, long-term for more time).
### Quantity Input
Specify the number of option contracts you want to include in your strategy. This determines your overall exposure and potential profit/loss.
By following these steps and utilizing the visual representation of the option chain provided by the builder, you can easily construct basic options strategies, such as buying a single call option (bullish) or put option (bearish).
## How to create an Iron Fly in the Strategy Builder
Follow the steps below to create your first strategy:
### Step 1
Go to the [Algotеst](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) website, sign up for a free account, and log in to your account.
### Step 2
Now click on ["Strategy Builder"](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) as shown in the image below
### Step 3
You will get an interface as shown in the image below.
### Step 4
Now add the legs from the option chain according to the strategy that you want to build. Assume if we want to build an iron fly we will sell ATM CE and ATM PE and buy OTM CE and OTM PE from the option chain as shown in the image below
### Step 5
You can analyze your strategy using the different tools provided by AlgoTest.
#### Analysis Section
In the Analysis section, Strategy Builder provides you tools like Payoff graph, Maximum Profit, Maximum Loss, Risk Reward, Break Even Point, etc to analyze your strategy. A payoff graph is a very useful tool that helps you to determine how your position is going to end till expiry concerning the underlying move.
#### Greeks Section
In the Greeks section, Strategy Builder provides you with information about Option Greeks like Delta, Theta, Gamma, IV, Vega, etc. for your positions as shown in the image below.
#### Monte Carlo Analysis Section
In the Monte Carlo Analysis Section:- Your PnL will depend highly on the underlying index's path. Monte Carlo Analysis is an advanced method to see how your strategy will perform on average across 10000 different price paths that the underlying could take until expiry. You can access this feature by clicking on "Monte Carlo Analysis" as shown in the image below.
---
// File: clicktrade/strategy-builder/creating-managing-strategies/prebuilt-strategies
## Prebuilt Strategy Template
[AlgoTest Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) offers you some prebuilt strategy templates that you can use.
### Straddle
This strategy involves buying or selling options contracts with the same strike price and expiration date of the underlying asset.
In a **long straddle**, a trader buys both a call and a put option. This strategy is used when the trader expects a significant price movement in either direction.
On the other hand, in a **short straddle**, a trader sells both a call and a put option. This strategy is implemented when the trader expects the market to remain within a narrow range and not move significantly in either direction.
### Strangle
This strategy involves buying or selling options contracts with different strike prices but the same expiration date of the underlying.
***
In a **long strangle**, a trader buys a call and a put option. A trader implements a long strangle strategy when they expect a large price movement in either direction.
***
In a **short strangle**, a trader sells a call and a put option. A trader implements a short strangle strategy when they expect the market to be within the range of the strikes they sell.
### Bull Call Spread
A bull call spread is a trading strategy that entails purchasing a call option with a lower strike price and at the same time selling a call option with a higher strike price, both with the same expiration date.
***
Typically, this involves **buying an at-the-money (ATM) call option** and **selling an out-of-the-money (OTM) call option**. The difference in strike prices depends on the level of aggressiveness you want for the trade. This strategy is suitable when you have a moderately bullish outlook on the underlying asset.
### Bear Put Spread
A bear put spread is a trading strategy that involves purchasing a put option with a higher strike price and simultaneously selling a put option with a lower strike price, both with the same expiration date.
***
Typically, this involves **buying an At-The-Money (ATM) Put Option** and **selling an Out-of-The-Money (OTM) Put Option**. The difference in strike prices depends on how aggressive you want the trade to be. This strategy is suitable when you have a moderate bearish outlook on the financial instrument.
### Iron Fly
The Iron Fly strategy is a multi-leg options strategy that includes selling at-the-money (ATM) call and put options while simultaneously buying out-of-the-money (OTM) call and put options with the same expiration date.
***
This strategy is suitable when you expect the underlying asset to remain within a narrow price range. Traders realize the maximum profit when the market stays near the ATM strike sold by the traders.
### Iron Condor
The Iron Condor is a multi-leg options strategy that includes selling out-of-the-money (OTM) call and put options while also buying even further OTM call and put options with the same expiration date.
***
This strategy aims to be **delta-neutral**, meaning that traders can potentially profit more when the market remains stable and doesn't move significantly in either direction. The maximum profit is achieved when the market stays within the range of the sold call and put strike prices.
## Pre-Built Strategies : Steps to access
- Click on the Strategy Builder button on [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
- Click on the position button as shown in the image below.
- Select the strategy you want to apply in Strategy Builder.
- You will be able to see that the strategy is applied, and you can directly execute it in a forward test and live trade with just one click.
---
// File: clicktrade/strategy-builder/creating-managing-strategies/advanced-strategy-options
## [Advanced Strategy Options](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest)
Once you're comfortable with basic strategy creation, you can venture into the world of advanced options strategies. These strategies involve combining multiple option contracts to achieve specific goals, such as limiting risk, generating income, or profiting from a range-bound or directional market.
Here's an overview of some popular advanced strategies you can explore within [AlgoTest's strategy builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder):
### Calendar Spread
This strategy involves buying and selling options contracts with the same strike price but different expiration dates. It allows you to capitalize on time decay (Theta) and potentially profit even if the underlying asset price doesn't move significantly.
### Bull Put Spread
A bull put spread involves buying a put option with a lower strike price and simultaneously selling a put option with a higher strike price, both having the same expiration date. Normally, it involves buying an out-of-the-money (OTM) put option and selling an in-the-money (ITM) put option.
***
The difference in strike depends on the aggressiveness of the trade you want to take. You can implement this strategy when you are moderately bullish on the instrument.
### Bear Call Spread
A bear call spread involves buying a call option with a higher strike and selling a call option with a lower strike, both expiring on the same date. Normally, it involves buying an out-of-the-money (OTM) call option and selling an in-the-money (ITM) call option.
***
The difference in strike depends on the aggressiveness of the trade you want to take. You can implement this strategy when you are moderately bearish on the instrument.
### Ratio Spread
A ratio spread is an advanced options strategy in which a trader holds a different number of long and short options. As the name suggests, the buy and sell options are held in a specific ratio, such as 2:1, where 2 quantities can be short options and 1 quantity can be a long option.
***
This strategy involves buying an at-the-money (ATM) call or put option and selling more than one quantity of the same option. It is typically implemented when the market is expected to remain relatively stable.
***
However, there are different variations of the ratio spread that can be used if you are slightly bullish or bearish in the market.
### Diagonal Call/Put Strategy
This strategy is an advanced version of the Calendar Spread. It involves buying or selling options with different strike prices and expiration dates. It is created by selling or buying an in-the-money (ITM) call or put option for the current week and selling or buying an out-of-the-money (OTM) option for the same underlying asset for the following week.
***
This strategy is used when traders have neutral to bearish or bullish views.
### Futures + Options Combined Strategy
[AlgoTest's Strategy builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) allows you to incorporate futures contracts into your options strategies.
***
Futures contracts represent an agreement to buy or sell an underlying asset at a specific price by a certain date. By including futures in your strategy, you can create more advanced structures that cater to diverse market outlooks.
For instance, you might combine an ATM long call option (bullish) with a short future contract (completely bearish) of the same underlying to create a strategy that profits if the underlying asset price decreases but limits your potential losses if it skyrockets.
Experimenting with different futures combinations within the strategy builder allows you to explore a wider range of options strategies and tailor them to your specific market views.
---
// File: clicktrade/strategy-builder/creating-managing-strategies/analysing-strategy
## Analysing the Strategy
[AlgoTest's Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) gives you the flexibility to analyze your strategy in such a way that a trader can create an advanced strategy easily as per his risk profile.
### Analyzing Payoff Graphs
[AlgoTest Strategy Builder](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) display a payoff graph alongside your chosen options. This graph is a powerful tool that visually represents the potential profit or loss you can expect at different underlying asset prices on the expiration date.
Here's how to interpret the payoff graph:
- **X-axis**: Represents the price of the underlying asset on the expiration date.
- **Y-axis**: Represents your potential profit or loss.
- **Line**: The line on the graph depicts your strategy's current payoff at different underlying asset prices.
- **Blue Line**: The line represents your potential profit and loss at different underlying prices on the expiry date.
By analyzing the payoff graph, you can assess the potential risk-reward profile of your strategy before committing to real capital. It allows you to visualize how much you could potentially gain under various market scenarios and identify your maximum potential loss.
### Total MTM
It shows the current total profit or loss (realized + unrealized) of your strategy.
### Maximum Profit
It shows you the maximum profit your strategy can achieve by expiration if the market moves in your favor. You can use this information to fine-tune your strategy based on the maximum reward you desire.
### Risk/Reward
The risk-reward ratio displays the relationship between the risk and the potential reward in your strategy. It is calculated by dividing the amount of risk by the potential reward. Considering your risk profile, you can use this information to develop a strategy that offers a favorable reward for the level of risk you are comfortable taking.
### Maximum Loss
It shows the maximum potential loss your strategy may incur if the market moves against your prediction. This information can help you develop a strategy that aligns with your risk tolerance.
### Margin Approx
It shows you approximately how much margin is required to execute this strategy with the broker. This way, you will know in advance how much margin is needed to avoid margin calls from the broker.
### Breakeven
This indicates the price at which, if your position expires, you will break even.
***
For instance, in the image below, the breakeven range is between 22553 and 22847. If the underlying asset closes around 22553 or 22847, you will break even.
***
However, if it falls below 22553 or rises above 22847, you will start to incur losses.
---
// File: clicktrade/strategy-builder/creating-managing-strategies/replay-trades
## Replay Trades on Strategy Builder
We're thrilled to introduce our new feature - Replay Trades, a powerful new feature on Algotest's Strategy Builder and on Live Trade/Algo Trade page. With Replay Trades, you can revisit and replay your trading strategies, starting from your very first trade. This feature enables you to thoroughly analyse and refine your strategies for better insights and performance.
## How to use Replay Trades On the Strategy Builder
Replay Trades on the Strategy Builder lets you simulate and review your past manual trades with a detailed payoff graph. This visual representation helps you analyse trade outcomes, refine strategies, and improve future decision-making. Follow this step-by-step guide to learn how to use Replay Trades feature on the Strategy Builder.
### Step 1: Open Strategy Builder
Login to [AlgoTest.in](https://www.algotest.in/) and click on the **Strategy Builder** button from the top navigation bar.
1. Select **"Strategy Builder"** from the dropdown.
> This opens the **Strategy Builder**, showing prebuilt strategies, you can select from there or make your own strategy, for this demonstration, we will select strangle:
1. After selecting strategy, click on the **"Live Trade With"** button.
1. A **broker selection popup** will appear.
#### What You’ll See:
- All broker accounts connected and logged in/off via your AlgoTest account
- A field to set **quantity multipliers** per broker
#### What You Can Do:
- Select **one or more brokers** to deploy the strategy simultaneously, you can only select the brokers that you have logged in.
- Set **different lot sizes** for broker using the quantity multiplier field
**Example:**
| Broker | Quantity Multiplier |
| ---------- | ------------------- |
| 5paisa | 1 |
| flat trade | 1 |
1. Click **"Done"**
Your strategy is now live across all selected brokers with respective quantity settings.
---
// File: clicktrade/strategy-builder/creating-managing-strategies/index
## [Creating and Managing Strategies](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest)
Now that you've grasped the fundamentals of option chains and [strategy builders](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder), it's time to unleash your creativity and build your own options strategies! This section will guide you through the process, from basic strategy creation to exploring advanced techniques.
## List of Topics
### [Basic Strategy Creation](https://docs.algotest.in/strategy-builder/creating-managing-strategies/basic-strategy-creation/)
### [Pre-Built Strategies](https://docs.algotest.in/strategy-builder/creating-managing-strategies/prebuilt-strategies/)
### [Advanced Strategy Options](https://docs.algotest.in/strategy-builder/creating-managing-strategies/advanced-strategy-options/)
### [Analysing Strategies](https://docs.algotest.in/strategy-builder/creating-managing-strategies/analysing-strategy/)
---
// File: clicktrade/strategy-builder/edge-calculator
# Position Size Calculator (Edge Calculator)
AlgoTest’s [**Position Size Calculator**](https://algotest.in/edge-calculator?utm_source=docs) helps you quantify whether a trading system has **positive expected value (edge)**, and then explore **capital survivability** and **position sizing** via simulations and **Kelly / Fractional Kelly**. The goal is to learn how to **estimate trading edge**, understand why **positive edge ≠ win every trade**, and size positions so you can **capture trading edge over the long run**.
## What Is “Trading Edge”?
**Trading Edge** is the **average profit per trade over time** (probability-weighted average).\
A system with **edge > 0** is expected to make money in the long run **on average**.
> If you trade without an estimate of edge, you’re **trading blind**, it could be zero or negative.\
> Many retail systems lose not because they’re “negative edge,” but because they’re **zero edge**, and **costs** (brokerage, slippage, taxes) push them below zero.
**In the position calculator:** you input **Win %**, **Avg Win**, **Loss %**, **Avg Loss** and click **Calculate** to see **edge per trade** (you can hover to see the formula description).
**Example:**
- Win%: **21%**
- Avg Win: **₹6,300**
- Loss%: **79%**
- Avg Loss: **₹1,500**
Trading Edge shown: **₹138** (positive)
## Significance
- **Positive trading edge ≠ win every trade.** In the example, you only win \~**21%** of the time.
- Without an **edge estimate**, you might be running **zero edge** and paying costs on top.
- Even with positive trading edge, **how you size** your trades determines whether you can actually **stay in the game** to realize that edge.
## Accessing the Feature
1. Open [Position Calculator](https://algotest.in/edge-calculator)
1. Enter **Win %**, **Avg Win**, **Loss %**, **Avg Loss**
1. Click **Calculate** to view **Edge per trade**
1. Now we will move to **Trade Simulations**
## Trade Simulations
Simulations help you see how a positive trading edge system behaves in practice:
**Parameters shown in the lesson**
- **Starting capital** (e.g., ₹50,000)
- **# of trades** (e.g., 500 or 1,000)
- **Minimum margin required** per trade (your **minimum bet size**)
**Outputs**
- **Max drawdown** (e.g., \~₹16,500 in one run)
- **Max losing streak** (e.g., 11 consecutive losses in one run)
- **Halting condition:** if capital falls **below the minimum margin**, you **cannot place the next trade**
> Key learning from the runs: even with **positive trading edge**, long **losing streaks** can push capital **below margin**, stopping you from trading further.\
> **Trading Edge alone isn’t enough**, you need **appropriate position sizing** and **adequate capital**.
## Kelly Sizing
### What the lesson shows Kelly does
- Takes your **edge** and returns a **fraction of capital to bet** each trade that **maximizes CAGR** (geometric mean).
- **Full Kelly** is **aggressive**, it focuses on CAGR, **not** on reducing variance.
- With a **minimum required bet size (margin)**, **full Kelly** can be **too aggressive** in practice.
### Fractional Kelly (Half Kelly / 10% Kelly)
- Use **fractional Kelly** to reduce aggressiveness
> **Full Kelly guarantees you won’t go bankrupt**, but with a **minimum required bet size**, it can be **too aggressive**.\
> Therefore, use **fractional Kelly** in real-world systems.
### Skew (Risk Shape)
- **Positive skew**:
- Low win%
- Many small losses
- Occasional big wins
- Still positive trading edge
- **Negative skew**:
- High win%
- Small frequent gains
- Rare large losses
- Risk hides in the **tails**
> A backtest may look like a **smooth 45° line**, but a **tail event** can **erase profits** or **damage capital**.\
> High accuracy often comes with **negative skew** (tail risk).
> Negative skew is **not inherently bad**, just be **aware** that the risk exists and plan sizing accordingly.
## Why This View Matters
- **Know your trading edge** before trading; don’t trade blind
- **Positive trading edge ≠ consistent profits**
- **Aggressive betting can lead to loss**, even with edge
- **Use fractional Kelly** to capture trading edge **without getting stopped**
- Backtest edge is an **estimate**, future may vary; stay conservative
- Understand **skew** to manage expectations:
- Positive skew = losing streaks
- Negative skew = rare blow-ups
If you’d like to explore the Position Size Calculator and volatility trading in more detail, we’ve got a course just for you. For more details, check out [Volatility course](https://algotest.in/courses/raghav-vol-course?utm_source=docs) by [Raghav Malik](https://x.com/rogue_hft).
Or, contact us on:
Email: [support@algotest.in](mailto\:support@algotest.in) Join: [Telegram ClickTrade Channel](https://t.me/AlgoTest_Discretionary)
---
// File: clicktrade/strategy-builder/introducing-strategy-builder/understanding-option-chain
## Overview of the Option Chain
Option Chain may be defined as a list of all option contracts. It covers both calls and puts of a certain security. It is also known as an Option Matrix.
Skilled users can utilize the [AlgoTest Option Chain](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) to determine the direction of price fluctuations. It also aids in identifying the instances at which a high or low amount of liquidity arises. Typically, it allows traders to assess the depth and liquidity of individual strikes.
It displays all available calls and puts options contracts for a particular underlying security (like a stock or ETF) on an exchange. Each contract represents the right, but not the obligation, to buy or sell the underlying security at a specific price (strike price) by a specific date (expiration date).
The option chain organizes this information in a way that's easy to understand. Here are some key elements you'll typically find:
### [Strike Prices](https://docs.algotest.in/features/leg-builder/#StrikeType)
A range of prices at which you can buy or sell the underlying security.
### Call Contracts
A call is an option contract that grants the owner the right, but not an obligation, to buy underlying securities at a certain price within a given timeframe.
### Put Contracts
Put options offer the option holder the right, but not the responsibility, to sell an underlying security at a given price within a given timeframe.
### Expiration Dates
The date by which you must exercise your option to buy or sell. An option's expiration is the specific date and time when the option contract becomes invalid.
### Option Greeks:
The Greeks are letters that represent important measurements of an options contract. They help assess how the price of an options contract may be affected by
- changes in the underlying security's price (Delta),
- volatility (Vega),
- rate of change of the option's delta(Gamma),
- and time decay (Theta).
Understanding the Greeks can help you make better decisions about which options to trade and when to trade them.
### Bid-Ask Spread
The difference between the highest price a buyer is willing to pay (bid) and the lowest price a seller is willing to accept (ask) for an option contract.
By analyzing the option chain, you can gain valuable insights into market sentiment, potential price movements, and the cost of different options strategies.
---
// File: clicktrade/strategy-builder/introducing-strategy-builder/algotest-strategy-builder-interface
## [Understanding the AlgoTest Strategy Builder Interface](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder)
Think of [AlgoTest's](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) option strategy builder as your personal options lab. It's a user-friendly interface that allows you to experiment with different option variations to create customized strategies. These strategies can be designed to achieve various goals, such as profiting from a bullish or bearish market outlook, limiting risk, or generating income.
**Here's a breakdown of what you typically find in our strategy builder interface:**
### Underlying Security Selection
Choose the index in the strategy builder you want to trade options on.
### Expiry Date Selection
Choose the expiration date for your option contracts.
### Strike Price Selection
Select the strike price at which you want to buy or sell the underlying security.
### Option Type Selection
Pick between calls or put options based on your market outlook.
### Position Type Selection
Pick buy or sell based on your market outlook.
### Quantity Input
Specify the number of option contracts you want to include in your strategy.
### Strategy Analysis
The builder will often visually represent your chosen options strategy, including a payoff chart that shows potential profits and losses at different underlying security prices. This chart displays your potential maximum profit (how much you could gain if the market moves exactly as you predict) and maximum loss (the most you could lose in case the market goes against your view) and much more information about your strategy that can help you to fine-tune your strategy.
### Greeks Analysis
Strategy builders give an analysis of the option Greeks for your chosen strategy, helping you determine which options to pick to meet your risk management needs.
By playing around with these features, you can explore various option combinations and see how they perform under different market scenarios. This experimentation is crucial for developing your options trading skills and making sound decisions.
---
// File: clicktrade/strategy-builder/introducing-strategy-builder/benefits-strategy-builder
## [Benefits of Using AlgoTest's Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder)
Here are some of the key advantages of using [AlgoTest's](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) strategy builder:
### Simplified Option Exploration
Strategy builders eliminate the need for manual calculations, allowing you to easily explore different combinations of trades and visualize their potential outcomes. It's like having a test kitchen for your trading ideas.
### Reduced Risk
By experimenting with various strategies in a simulated environment, you can identify potential risks before committing to real capital. This allows you to refine your approach and minimize the chances of unexpected losses.
### Boosted Confidence while trading
Building and testing strategies in a safe space helps you develop your understanding of options and gain confidence in your trading decisions.
### Improved Strategy Development
Strategy builders can help you fine-tune your options strategies by allowing you to adjust factors like strike prices and expiration dates to optimize your potential returns.
### Enhanced Learning
Visualizing strategies and analyzing option Greeks provided by some builders can significantly enhance your options trading knowledge.
### Paper Trading
Practice makes perfect, and paper trading functionality within a strategy builder allows you to test your strategies with live market data before risking real capital. It's like having a dress rehearsal for your trades.
### Live Execution
Certain strategy builders allow you to seamlessly transition from strategy creation to live execution, streamlining your trading process. Imagine having a direct pipeline from your strategic planning to real-world action.
Overall, strategy builders are invaluable tools that can help you navigate the options market with greater confidence and potentially realize new trading opportunities.
---
// File: clicktrade/strategy-builder/introducing-strategy-builder/index
## [Introduction to Option Chain and AlgoTest's Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder)
Options trading offers a vast landscape of possibilities, but it can also feel daunting for newcomers. The good news is that [AlgoTest's Strategy Builder](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) is here to bridge the gap between theory and practice. This guide will introduce you to two fundamental concepts: option chains and strategy builders.
By understanding these elements, you'll be well-equipped to navigate the options market with confidence and explore the potential for significant returns using AlgoTest's powerful tools.
## List of Topics
### [Understanding the Option Chain](https://docs.algotest.in/clicktrade/strategy-builder/introducing-strategy-builder/understanding-option-chain/)
### [Strategy Builder Interface](https://docs.algotest.in/clicktrade/strategy-builder/introducing-strategy-builder/interface/)
### [Benefits of Strategy Builder](https://docs.algotest.in/clicktrade/strategy-builder/introducing-strategy-builder/benefits/)
---
// File: clicktrade/strategy-builder/live-execution-trade-management/live-trading-strategy-builder
# Live Trading in Strategy Builder
You can start [live trading](https://algotest.in/feature/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=live) with the[AlgoTest Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) by following these simple steps:
## Broker Setup
First, you need to add your broker in [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) to enable live trading via the strategy builder. To connect your broker, please [:click
here](https://docs.algotest.in/category/broker-setup/) and set up your broker.
## Creating a strategy in Strategy Builder
To create a strategy in Strategy Builder follow some simple steps as shown below
- Click on the Strategy Builder button on [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
- Select the underlying and expiration date of the contract you want to trade as shown in the image below.
- Imagine we want to execute an Iron Fly strategy, so we will sell ATM call and put option and buy OTM call and put optionas shown in the image below. You can also select different strikes as per your risk profile.
- You will find the payoff graph and all the important information in the analysis tab. You can analyze your strategy using the provided information.
## Executing Strategy Live
- Click on the Live Trade With button as shown in the image below
- Select the broker as shown in the image below.
- Save the strategy with the desired name by clicking on the confirm button.
- Select the order type from MIS & NRML to execute a market or limit order, then click "Place all orders" to execute the strategy in one click.
- You will be able to view and manage your positions under the "positions" tab as shown in the image below.
- You can square off any individual or all positions by clicking on the square-off button as shown.
- You can also temporarily disable/enable a position in strategy by clicking on toggle/untoggle button as shown in the image below.
- You will be able to status of orders under the order book as shown in the image below.
- Now you can also select [Market Price Protection order ](https://docs.algotest.in/clicktrade/strategy-builder/live-execution-trade-management/types-of-orders/#market-price-protection-order)- MPP is designed to combine the speed of a market order with the control of a limit order. When you place an MPP order, AlgoTest automatically calculates a limit price using a predefined protection range based on live market data.
***
### Broker MIS Exit Times
| Broker Name | MIS Exit Time |
| ---------------------- | ------------- |
| Forward Test | 3:29 PM |
| Nuvama Wealth | 3:19 PM |
| IIFL | 3:19 PM |
| A.C. Agrawal Shares | 3:24 PM |
| Unlisted Broker | 3:24 PM |
| Shoonya (Finvasia) | 3:24 PM |
| 5Paisa | 3:19 PM |
| 5Paisa XStream | 3:19 PM |
| Findoc XTS | 3:19 PM |
| Kotak Neo | 3:19 PM |
| Dhan | 3:18 PM |
| Fyers | 3:09 PM |
| Jainam (Duck) | 3:19 PM |
| FlatTrade | 3:14 PM |
| Alice Blue | 3:14 PM |
| Mastertrust | 3:14 PM |
| Breeze API | 3:14 PM |
| Motilal Oswal | 3:14 PM |
| Angel One Limited | 3:14 PM |
| Upstox Client | 3:19 PM |
| Upstox | 3:19 PM |
| Wisdom Capital | 3:09 PM |
| Firstock | 3:24 PM |
| Jainam Dealer Server A | 3:09 PM |
| Jainam (XTS Retail) | 3:09 PM |
| Zebu | 3:24 PM |
| Paytm Money | 3:15 PM |
| Choice | 3:14 PM |
| Tradejini | 3:14 PM |
| Bigul | 3:09 PM |
| Motilal XTS | 3:09 PM |
| Symphony (Open XTS) | 3:14 PM |
| Swastika | 3:09 PM |
| Moneysukh | 3:14 PM |
| SMC | 3:10 PM |
| Stoxkart | 3:10 PM |
| Trade Smart Client | 3:19 PM |
| Trade Smart | 3:19 PM |
| Enrich | 3:15 PM |
| Axis Direct | 3:19 PM |
| Indira Securities | 3:19 PM |
| Jainam Lite | 3:19 PM |
| IIFL Markets | 3:19 PM |
| DB International | 3:19 PM |
| Delta Exchange | 11:36 PM |
| Findoc | 3:19 PM |
| Arham Wealth | 3:14 PM |
| MStocks | 3:10 PM |
| Bhansali | 3:19 PM |
| Groww | 3:20 PM |
| Prudent | 3:20 PM |
| Infinn | 3:20 PM |
| Infinn (Dealer) | 3:20 PM |
### Order Type:
Order types determine how long a position can be held, whether it will be squared off automatically, and how much margin is required. Selecting the correct order type ensures the position behaves as intended.
#### MIS (Margin Intraday Square-off)
**Purpose:** Intraday trading\
**Holding Period:** Same trading day only\
**Margin Requirement:** Lower margin due to intraday leverage\
**Square-off:** Auto square-off before market close
**When to use:**
- Intraday strategies in equities, futures, or options (where supported)
- Trades not intended to be carried overnight
#### NRML (Normal)
**Purpose:** Carry-forward F\&O trading\
**Holding Period:** Allowed to hold overnight and until expiry\
**Margin Requirement:** Requires full overnight margin; no intraday leverage\
**Square-off:** No auto square-off (except on expiry as per exchange rules)
**When to use:**
- Futures and options positions intended for multi-day or overnight holding
- Positional strategies, spreads, and hedged trades
---
// File: clicktrade/strategy-builder/live-execution-trade-management/types-of-orders
## Types of Orders and Execution
Once you've constructed your options strategy within the builder, you'll need to decide how to execute the trade. Here's an overview of some common order types and functionalities offered by [AlgoTest Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder):
## Basket Orders
**Streamlined Execution**: Basket orders enable you to execute your entire options strategy with a single click. This eliminates the need to place individual orders for each option contract, saving time and potentially reducing execution risk. You can simply add the strike you want to execute in the option chain, click on 'live trade', and then click on 'place all order' to execute all the strikes you selected in one click.
By utilizing basket orders, you can efficiently execute your multi-leg options strategies and potentially capture fleeting market opportunities.
## Market vs Limit Order
[AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) Strategy builder allows you to specify different order types within your basket order such as limit orders to define a specific price range for your trade or Market Price Protection (MPP) orders, which offer market-like execution with built-in safeguards against unfavourable price movements.
## Market Price Protection Order
### What is MPP Order Type?
**[AlgoTest ](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest)introduces the Market Price Protection (MPP) order type** to help traders execute faster while staying protected from adverse price movements.
MPP is designed to combine the speed of a market order with the control of a limit order. When you place an MPP order, AlgoTest automatically calculates a limit price using a predefined protection range based on live market data. MPP order simulates the market order behavior and works just like market orders.
This ensures your order executes at the best available price within a safe range. If the order cannot be fully executed within this range, the remaining quantity continues as a limit order at the calculated price, giving you both execution efficiency and price protection.
### Market Price Protection Range
The protection range is determined at the time of order placement using the current market data:
- For **Buy orders** → Calculated above the current **Bid price**
- For **Sell orders** → Calculated below the current **Ask price**
This range is defined as a percentage and varies based on the instrument type and price range.
### Key Behavior
- Your order will get executed instantly
- Ensures execution within a controlled price band
- Prevents unfavourable fills during volatile conditions
- Converts to a limit order if immediate execution is not possible
### How MPP Order Works
### Buy Order Example
**Scenario:**
- Option LTP: ₹101
- Bid Price: ₹100
- Protection: 3%
**Calculation:**
- Limit Price = ₹100 + 3% = ₹103
**Order Placement:**
- A **Limit Buy Order** is placed at ₹103
**Execution:**
- Executes immediately at best available price ≤ ₹103
- If not fully executed → remains as a pending limit order at ₹103
### Sell Order Example
**Scenario:**
- Option LTP: ₹99
- Ask Price: ₹100
- Protection: 3%
**Calculation:**
- Limit Price = ₹100 − 3% = ₹97
**Order Placement:**
- A **Limit Sell Order** is placed at ₹97
**Execution:**
- Executes immediately at best available price ≥ ₹97
- If not fully executed → remains as a pending limit order at ₹97
### Order Price Rules
- The calculated MPP price is always aligned to the **nearest tick size** of the contract
- Minimum sell price cannot be below **₹0.05 (5 paisa)**
- If calculated sell price is lower, it will default to ₹0.05
| Security Type | Price Range (₹) | Percentage of LTP |
| ------------- | ------------------- | ----------------- |
| EQ and FUT | Less than 100 | 2% |
| EQ and FUT | Between 100 and 500 | 1% |
| EQ and FUT | More than 500 | 0.5% |
| OPT | Less than 10 | 5% |
| OPT | Between 10 and 100 | 3% |
| OPT | Between 100 and 500 | 2% |
| OPT | More than 500 | 1% |
## Where You Can Use MPP Orders{#where-you-can-use-mpp-orders}
### 1. [ClickTrade ](https://algotest.in/strategy-builder)Order Window{#1-clicktrade-order-window}
- Select **MPP** under Order Type
- Price field is disabled (auto-calculated)
- Only **lot size input** is required
### 2. Apply to All Orders
- Available under **“Apply to All”** section
- Selecting MPP applies it to all orders in the strategy
The MPP order type is now expanded to **920 Straddle and Signals** under Setup Execution for Equity, Equity FnO, and Index FnO (NSE/BSE).
### Key Benefits & Automation
\
If the order is not filled immediately, the system automatically triggers an Auto-Chase Mechanism, adjusting the price every few seconds using the protection buffer. Chasing continues safely for up to 30 seconds to complete your trade seamlessly!
## Why Use MPP Orders?
- **Faster execution** similar to market orders
- **Price protection** against slippage
- **Better control** in volatile markets
- **Reduced risk** of unfavorable fills
[Learn step by step Live Trading in Strategy Builder here.](https://docs.algotest.in/clicktrade/strategy-builder/live-execution-trade-management/live-trading/)
---
// File: clicktrade/strategy-builder/live-execution-trade-management/managing-positions
# Viewing and Managing Positions
Keeping track of your options positions is crucial for effective risk management. Here's how [AlgoTest's Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) can assist you in this area:
## Using the 'View Positions' Feature
[AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) Strategy Builder enables you to view and manage your position as per your requirements.
Within the Positions tab you will be able to use the following features:
- **Square off**: This feature allows you to square off any individual running leg in strategy.
- **Squareoff All**: This feature allows you to squander off all the running legs in strategy.
- **View Trades**: This feature allows you to view the complete info of your trade like price, quantity, entry/exit time, etc.
- **Total**: This feature enables you to see the total running profit/loss of your strategy.
By regularly monitoring your positions through this feature, you can stay informed about your portfolio's performance and make informed decisions about adjustments or exits.
## Adding External Trades
AlgoTest Strategy Builder allows you to add an external trade in your strategy at your desired price. It means you can add a trade with your choice of price and positions will be analysed as per that. You can find this position under the positions tab in the strategy builder
It helps you when you have manually traded on your broker end and want to add that trade to your strategy. You can select the instrument type, strike, quantity and enter the price at which you want to add the trade, and click on the add trade button.
The trade will be added to your strategy and you will be able to view this under the position tab and you will be able to squareoff the trade by clicking on squareoff button. It will squareoff your manual position.
\
You can also delete this external trade from the strategy by clicking on the delete button.
Important Note: Adding or deleting trades within the builder typically doesn't directly affect your actual broker account positions. It's solely for tracking and management purposes within the builder's interface.
## Understanding Forward Test vs. Live Trade
Here's a breakdown of the key differences between forward testing and live trading options strategies:
| Feature | Forward Test | Live Trade |
| --------------- | --------------------------------------------------------- | ------------------------------------------------------------- |
| Order Execution | Simulated orders based on live market data | Actual orders placed in the real market |
| Risk | No real capital is at risk | Your real capital is used for trade |
| Purpose | Evaluate strategy performance under various scenarios | Execute your chosen options strategy |
| Benefits | Identify potential strengths and weaknesses of strategies | Potentially profit from the market if the trade is successful |
| Drawbacks | Past performance doesn't guarantee future results | Markets are dynamic and can be unpredictable |
Forward testing within the strategy builder allows you to experiment with different options strategies in a risk-free environment. This is a crucial step before deploying your strategies with real capital. Live trading involves executing your strategies in the real market, with the associated risks and potential rewards.
## Handling Illiquid Strikes in the Strategy Builder
While building your strategies, you might encounter issues with illiquid strikes. These are strike prices for options contracts that have low trading volume or limited interest from other market participants. So it is advised to be cautious while trading them, as your position can be stuck there in case you want to exit. Here's how to navigate them within your strategy builder:
### Identification of Illiquid Strikes
AlgoTest Strategy builder will show you a caution sign on the strikes which are not much liquid as shown in the image below. So you can be careful while trading these strikes which has a caution sign.
### Price Fetching for Illiquid Instruments
Even if you identify an illiquid strike, the strategy builder can show you the last traded price of the strike.
To get the last traded price of an illiquid strike, click on the strike and then click on the fetch button as shown below.
Now you will be able to view the last traded price of the illiquid strike as shown in the image below.
It's crucial to set realistic expectations when dealing with illiquid options. Even though they may seem appealing at first because of their pricing, the difficulties in entering and exiting positions can greatly affect the performance of the strategy.
By understanding how to recognize and manage illiquid options within a strategy builder can help you make better decisions and construct stronger options strategies. Remember, it's wise to avoid using real capital with illiquid options until you feel comfortable, as this is an excellent way to reduce risk.
## Access Past Live Strategies
To effectively analyze their past trades and identify any mistakes made, traders can utilize the AlgoTest Strategy Builder to access their previously saved strategies. To access past strategies during live trading, simply follow the steps outlined in the image below:
- Go to Strategy builder by clicking on the Strategy Builder button.
- Click on the Strategies button on the top left corner.
- It will display live and forward test strategies. Click on the strategy you want to access, as shown in the image below.
- Now you will be able to view and analyse your past strategy as shown in the image below.
---
// File: clicktrade/strategy-builder/live-execution-trade-management/index
# Live Execution and Trade Management
Now that you've honed your skills in crafting options strategies using the builder, it's time to explore how to execute and manage your trades. This section will dig into live trading, order types and execution, trade execution features and position management tools.
## List of Topics
### [Live Trading in Strategy Builder](https://docs.algotest.in/clicktrade/strategy-builder/live-execution-trade-management/live-trading/)
### [Types of Orders](https://docs.algotest.in/clicktrade/strategy-builder/live-execution-trade-management/types-of-orders/)
### [Viewing and Managing Positions](https://docs.algotest.in/clicktrade/strategy-builder/live-execution-trade-management/managing-positions/)
---
// File: clicktrade/strategy-builder/paper-trading-analysing/index
# Paper Trading & Analyzing Strategy
Having crafted and executed options strategies, the next step is to analyze their performance and identify areas for improvement. This section will delve into strategy testing and performance analysis.
## Strategy Testing
Before risking real capital, using the forward testing capabilities of your strategy builder is paramount. Here's how to grasp this feature and interpret the results:
### How to Forward Test Using Strategy Builder
Follow the below steps to Forward Test using Strategy Builder:-
Step 1- Sign up for a free account on [Algotest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest)'s website, then log in.
Step 2. As shown in the image below, click on "Strategy Builder"
Step 3. An interface similar to the one below will appear.
Step 4. Next, add the legs from the option chain that you want to use for the strategy you want to create. For example, if we want to build an iron fly, we would sell ATM CE and ATM PE and buy OTM CE and OTM PE from the option chain, like in the image below.
Step 5. Analyze your strategy using the different tools provided by AlgoTest.
- The Strategy Builder lets you analyze your investment plan by showing you how much money you could win or lose, what the best and worst outcomes are, and where you might break even. A payoff graph is especially helpful because it visually shows how your investment will perform based on price movements up to the expiry date.
- In the **Greeks section**, beyond the basic analysis tools, our Strategy Builder gets even more specific for options trading. It gives you advanced info about things like Delta, Theta, and Gamma (shown in the image below). This info helps you understand how your options will react to different market changes. Think of it as getting an inside look at how your options might behave!
- In the **Monte Carlo Analysis Section**, you will learn that your PnL is heavily influenced by the course of the underlying index. Monte Carlo Analysis is a sophisticated tool for determining how your strategy will perform on average across 10000 possible price pathways that the underlying might follow till expiry. You may access this functionality by selecting "Monte Carlo Analysis" as indicated in the image below.
- Assuming we wish to implement our Iron Fly strategy, we have two options: paper trade it ( Forward-test) or execute on a broker. To test your forward testing approach, click the forward test button in the image below.
- You will be able to see your positions under the "Position" tab.
- You can square off your position by clicking on squareoff button as shown in the image below.
- You can also temporary disable/enable the positions in the strategy by clicking on toggle/untoggle button as shown in the image below.
By running multiple forward tests with different live periods and market conditions, you can gain valuable insights into the potential effectiveness and robustness of your strategy.
### Modify Positions in Forward Test
You have the option to modify your strategy positions during the forward test, providing users with added flexibility to adapt their strategy to current market conditions. Follow the steps to make adjustments to your strategy.
- Click on the View Trades button under the position tab as shown in the image below.
- You have the option to edit the price, quantity, and position according to your preferences and save the settings, as demonstrated in the image below. This feature allows you to customize your strategy to suit your comfort level. Click the "save changes" button to apply the updated strategy
## Access Past Forward Test Strategies
Traders need to analyze their past trades and identify any mistakes they made. The AlgoTest Strategy Builder allows you to access your previously saved strategies. To access past strategies in the forward test, simply follow the steps shown in the image below.
- Go to Strategy Builder by clicking on the Strategy Builder button.
- Click on the Strategies button on the top left corner.
- It will show you live and forward test strategies. Click on the strategy that you want to access as shown in the image below.
- Now you will be able to view and manage your strategy as shown in the image below.
## Comparing Forward Test and Live Trade Outcomes
Remember, forward testing is a simulation, and past performance doesn't guarantee future results. Here's how forward test results should be interpreted:
- **Positive Outcomes**: If your strategy performs well in forward tests across various historical periods, it indicates potential promise. However, this doesn't guarantee success in live markets.
- **Negative Outcomes**: Poor forward test results suggest the strategy might be flawed or overly risky. It's crucial to refine the strategy or consider alternative approaches before risking real capital.
It's essential to understand the limitations of forward testing and use it as a stepping stone before live trading. Real-world market dynamics can be unpredictable, and factors like liquidity and execution costs can impact your actual results.
## Key Differences Between Forward Testing and Live Trading
| Feature | Forward Test | Live Trade |
| --------------- | ------------------------------------------------------------------------ | ----------------------------------------------------------------------------- |
| Order Execution | Simulated orders assuming you got the best price available at that time. | Actual orders placed in the real market |
| Risk | No real capital is at risk | Your real capital is used for trade |
| Purpose | Evaluate strategy performance under various scenarios | Execute trades based on current market conditions, aiming to generate profits |
| Benefits | Identify potential strengths and weaknesses of strategies | Potentially profit from the market if the trade is successful |
| Drawbacks | Past performance doesn't guarantee future results | Markets are dynamic and can be unpredictable |
With this comparison between forward test and live trade, you can gain a deeper understanding of these features.
## Performance Analysis
Once you've executed your options strategies in the real market, it's crucial to analyze their past performance. This analysis will help you identify areas for improvement and potentially develop a more robust trading approach.
Here's an example to illustrate performance analysis:
### Short Straddle Performance During and Post-COVID Crash
Let's consider a short straddle strategy (selling a call and a put option at the same strike price) implemented before the COVID-19 market crash. While this strategy might have profited from the initial increase in volatility during the crash, it could have suffered significant losses if the market continued to decline sharply.
This example highlights the importance of considering various market scenarios when analyzing your options strategies. Strategies that perform well in volatile markets might struggle during periods of low volatility.
By continuously analyzing the performance of your options strategies, you can learn from your successes and failures, ultimately leading to better trading decisions.
---
// File: clicktrade/strategy-builder/playground/index
# Strategy Builder Playground
The ["Playground"](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder) is a simulated trading environment offered by [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
***
It allows you to experiment with options strategies and test their performance in a risk-free setting before deploying real capital.
## How to Use Playground
To use Playground in the AlgoTest Strategy Builder, follow these steps :
- Go to [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) Log in to your account and click on the Strategy Builder button as shown in the image below.
- Select the underlying and expiration date of the contract you want to trade as shown in the image below.
- Imagine we want to execute a straddle, so we will sell an ATM Call and ATM Put option as shown in the image below.
- Click on the View in Playground button as shown in the image below.
- Now you will be able to view your straddle position running in a real-time environment. You will be able to manage and analyze your position here.
- You will be able to change the price, lot size, strike, expiry, and position directly from the position tab with a single click, as shown in the image below. This feature will quickly modify your positions based on your input. You can use this to analyze your manual position. For instance, if you took a manual position with the broker in the morning, you simply need to enter the prices and strike here, and it will generate a strategy analysis based on that.
- You can also toggle and untoggle the position by clicking on the button as shown in the image below. This will temporarily remove the position from the strategy. You can add it back by using the toggle button.
Here's a breakdown of the purpose and benefits of the Playground:
## Purpose and Benefits of the Playground
- **Risk-Free Experimentation**: The Playground allows you to test different options strategies, including complex multi-leg ones, without risking real capital. This provides a safe space to refine your approach and gain confidence before venturing into live markets.
- **Market Simulation**: Using AlgoTest Strategy Builder Playground you can fine-tune your strategy under real market conditions. You can change the prices of your position to fine-tune your strategy as per the market conditions.
- **Developing a Trading Plan**: You can utilize the Playground to develop and refine your trading plan. This plan should outline your entry and exit strategies, risk management parameters, and overall trading discipline.
- **Experimenting with Different Strategies**: The Playground is an excellent platform to explore various options strategies you might have learned about but haven't had the opportunity to test. This experimentation can broaden your trading knowledge and potentially uncover new approaches that align with your risk tolerance and market outlook.
By effectively utilizing the Playground features, you can significantly enhance your options trading skills and decision-making processes.
## Features and Functionalities
Some important features and functionalities of AlgoTest Strategy Builder Playground are as below:
- **Virtual Capital**: The Playground typically allocates you a virtual starting capital to use for your simulated trades.
- **Parameter Adjustments**: You can adjust the parameters such as price, strike, expiry, and option type in just a single click in real market conditions to fine-tune your strategy as per your needs.
- **Instant Execution**: The Playground enables you to instantly simulate your strategy positions based on the given input and provides a seamless, real-time execution experience without delays..
- **Live Market Analysis**: AgloTest Strategy Builder allows you to analyze your playground positions in the live market using various insights various tools like payoff graphs, greeks, strategy analytics, etc.
By leveraging these features, you can gain valuable insights into the potential performance of your options strategies under various market conditions, all within a risk-free environment.
---
// File: clicktrade/strategy-builder/setting-up/index
Now that you're familiar with option chains and [AlgoTest's Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder), let's have a piece of deeper information regarding the setup process.
Gearing up your builder for optimal use involves selecting the underlying asset, customizing interface settings, and potentially connecting with multiple brokers.
## Setting Up Option Chain View
[AlgoTest's](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) Strategy builder gives you settings to customize your option chain as per your desired needs.
### Option Chain Settings
To change the settings click on the settings button as shown in the image below.
### ATM Based on
The "ATM Based on" feature allows you to select if you want to view an ATM strike on the option chain based on Implied future or Spot.
### Show Feature
The Show feature allows you to enable or disable the view of some insights in the option chain like LTP, Greeks, Delta & IV, Near Strikes, and Illiquid Strike. Using the disable feature you can block the view of these values.
## Selecting the Underlying Asset (e.g., NIFTY, BANK NIFTY)
The first step is choosing the underlying security you want to trade options on. This can be an index like the NIFTY or BANK NIFTY. Your selection will determine the available option chains displayed in the builder.
Here are some factors to consider when choosing your underlying asset:
### Market Volatility
Options are typically more attractive for volatile assets, as they offer the potential for larger gains (and losses).
### Liquidity
Opt for assets with high option trading volume to ensure you can easily enter and exit your positions.
### Understanding
Choose an underlying asset you're comfortable with and whose price movements you can anticipate.
Once you've selected your underlying asset, the strategy builder will populate the interface with the corresponding option chain, displaying various call and put contracts with different strike prices and expiration dates.
## Exploring Different Expiries
The expiration date is a crucial factor in options trading, significantly impacting the option contract's price. Options with longer expiration dates are generally more expensive than those expiring sooner. This is because they offer more time for the underlying asset's price to move in your favor.
The strategy builder typically allows you to choose from various expiration dates for your options contracts. Here's how expiration selection can influence your strategy:
### Short-Term Expiries
Ideal for capturing quick price movements, but they carry higher risk due to time decay (Theta) if you are a buyer. Options sellers may prefer short-term expiries to gain theta decay.
### Long-Term Expiries
Provide more time for the underlying asset's price to reach your target but are generally more expensive. Option buyers may prefer Long-Term Expiries as they are less affected by theta decay.
By adjusting the expiration date within the strategy builder, you can fine-tune your options strategy to match your risk tolerance and investment timeframe.
By utilizing the various settings and customization options strategy builders offer, you can create a personalized trading environment that caters to your specific goals and risk tolerance. In the next section, we'll search into the exciting world of building your own options strategies!
---
// File: crypto-trading/backtest
# Backtest Crypto Strategies
You can backtest your crypto trading strategies on AlgoTest. Backtesting helps you analyze how your strategy would have performed in the past, allowing you to refine your approach before going live.
To learn how to create and run backtests on AlgoTest, refer to our main [Backtesting Guide](https://docs.algotest.in/Time-Based-Algo-Trading/how-to-backtest/delta-exchange/).
Head over to [AlgoTest](https://algotest.in/feature/backtest?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=backtest) to begin backtesting your crypto algo-trading strategies!
---
// File: crypto-trading/forward-test
# Forward Test Crypto Strategies
Forward testing allows you to monitor your crypto strategy in real-time using simulated trades. It’s the best way to validate your logic before live deployment.
You can forward test any strategy using Delta Exchange’s real-time market data.
> Tip: Use forward testing to ensure your strategy behaves as expected with live data before enabling Algo Trading.
## How to Forward Test Crypto Strategies
#### Navigate to Forward Test
From the top navigation bar, go to:\
**`Algo Trade → Forward Test`**
It will show you the reason behind the error. As you can see in the below image the reason is margin error.
Similarly, there will be other errors that can be identified by AlgoTest.
### Error Strategy Trade Info
On the Error Page, you will be able to see further information about the strategy.
#### Running Legs
Your running positions will be displayed under Running Legs. These are legs on your strategy that are running without error.
#### Open Orders
Pending orders can be viewed under "Open Orders". These are orders open on the broker end for a strategy in error.
## **Handling "Error to Resume Mode" Strategy**
We have all the info about reasons for an error and trade information.
AlgoTest now offers you three features to handle the error :
1. Resume feature
2. Square off feature
3. Switch to Manual feature
### Resume Feature
This feature enables the user to retry the legs for execution that have not been executed due to error.
After that, [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) will start monitoring the strategy again as per the conditions defined in the strategy.
If the Resume button is clicked after strategy exit time, it will work as a square-off button.
Note : After 03:25 or as per the broker MIS time, the resume button will be disabled.
#### Time Based Entry/Re ASAP
It will select the strike and try to enter immediately for entry/re entry at the time you click on resume button at whatever price available.
#### Momentum/Re Cost/Range Breakout
If the current recost/momentum/range breakout price is above your reference price and you click on resume button, it will enter immediately at current price.
If you know the reason behind the error you can try to resolve it and then attempt to resume.
For instance, In the case of a margin shortfall if you added margin and now want to resume the same strategy, then you can use this feature.
#### Squareoff Complete
- If any leg exits while 1 or more legs are in error, it will cancel all entry leg orders. No orders will be fired for any of the error legs.
- If the leg re entry is enabled, then error legs can take entry as per the condition defined for re entry in strategy except for re-cost re-entry.
- It will take re-entry cost based on the last price attempted (error leg price).
To resume, click on the resume button as shown in the image below :
### Square Off Feature
It enables the user to squareoff all error strategy positions and pending orders from AlgoTest. It simply squares all the open positions and cancels pending orders for leg entry in your error strategy.
After 03:25 or as per your broker MIS time the Square Off button will disabled (only if the execution settings has order type: MIS).
You can squareoff a strategy by clicking on the "Square Off" button and then "Confirm Square Off" button as shown in the image below.
### Switch to Manual Feature
It enables the user to handle the strategy manually on the broker end including all the running positions and pending orders.
AlgoTest will not fire any further orders after you change the mode of strategy to manual.
All strategies going into error after 3:25, will automatically turn into "Switch to manual" mode.
**Switching to manual doesn't need re-login.**
:::warning
In most cases we are able to keep track of the strategy orders that went into error. But in some cases we can't track the orders.
[AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) will show you most error states, but in case it isn't clear we will point you to handle the strategy manually on the broker end.
Since you can access the info of running positions and pending orders you can easily manage your strategy on the broker terminal.
:::
## **Error(s) that can now be handled on AlgoTest**
1. Margin Error
2. Session Expired/Invalid Session Error
3. Illiquidity/Insufficient Volume Error
4. Convert to Market Order Blocker Error
### Margin Error
Margin error comes when your broker rejects your orders due to margin shortfall. In this case as per execution settings the system will try to square-off the strategy. But if the positions are not squared off due to any reason, the system will move the strategy into halt state.
#### Solution for a Margin Error
You can add the required margin and can use any of the following features.
**Resume** :- By using this feature, the system will try to execute the legs which are not executed and will monitor the strategy condition as per the defined strategy.
**Squareoff** :- By using this feature, the system will try to squareoff the leg(s) which are running and cancel the pending order(s) if any is placed.
**Switch to Manual** :- By using this feature, the system will put the strategy into manual mode and no further orders will be fired by the system. After that you need to manage the pending orders and execute positions manually on the broker end.
:::info
Switching to manual doesn't need re-login.
:::
### Session Expired/Invalid Session Error
A Session Expire/Invalid Session error comes when your broker expires your session.
One of the reasons for this error could be that your broker doesn't allow you to use the API simultaneously on more than one platform and you might be logged into multiple platforms simultaneously.
#### Solution for Session Expire/Invalid Session Error
You need to re-login to your broker on the broker setup page on [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
Visit the broker setup page on AlgoTest and click on the re-login button. Re-login and use any of the following features:
**Resume** :- By using this feature, the system will try to execute the legs which are not executed and will monitor the strategy condition as per the defined strategy.
**Squareoff** :- By using this feature, the system will try to squareoff the leg(s) which are running and cancel the pending order(s) if any is placed.
**Switch to Manual** :- By using this feature, the system will put the strategy into manual mode and no further orders will be fired by system. Now you need to manage the pending orders and execute positions manually on the broker end.
:::info
Switching to manual doesn't need re-login.
:::
### Illiquidity/Insufficient Volume error
Illiquidity/Insufficient Volume error comes when the given strike doesn't have enough liquidity or volume and so it cannot be traded.
#### Solution for Illiquidity/Insufficient Volume Error
It is possible that at the time you decide to take a trade (or your strategy attempts to take a trade based on predefined conditions) a specific strike doesn't have enough liquidity.
But maybe after a certain amount of time it has enough volume to get traded. You can try any of the following features :
**Resume** :- By using this feature, the system will try to execute the legs which are not executed and will monitor the strategy condition as per the defined strategy.
**Squareoff** :- By using this feature, the system will try to squareoff the leg(s) which are running and cancel the pending order(s) if any is placed.
**Switch to Manual** :- By using this feature, the system will put the strategy into manual mode and no further orders will be fired by system. Now you need to manage the pending orders and execute positions manually on the broker end.
### Convert to Market Order Blocked Error
Some brokers don't allow market orders for BSE segments. So in case your limit order is rejected and we try to execute via market order, your broker can reject the order saying market orders are blocked for BSE.
#### Solution for Market Order Blocked Error
You can try any of the following features to remove your strategy from error
**Resume** :- By using this feature, the system will try to execute the legs which are not executed and will monitor the strategy condition as per the defined strategy.
**Squareoff** :- By using this feature, the system will try to squareoff the leg(s) which are running and cancel the pending order(s) if any is placed.
**Switch to Manual** :- By using this feature, the system will put the strategy into manual mode and no further orders will be fired by system. Now you need to manage the pending orders and execute positions manually on the broker end.
## How AlgoTest Works in Case your Strategy goes into "View Error to Resume" Mode
- No Legs will be fired by the system if strategy is in error mode.
- If you are using limit orders and a ORB/Momentum/re entry limit order triggers and entry happens when strategy was in error mode, a SL limit order will be placed by system on your broker end. Further no monitoring will be done unless you click on resume button.
- If you click on the resume button after exit time then error legs will not enter and will be squared off immediately.
- Signal strategy in error will get squaredoff if signal comes from tradingview/chartink.
- For Broker Level Settings, it will only consider closed legs MTM. It will not consider MTM of running legs until you resume the strategy.
- "Strategies deployed" count will remain blocked, till you click the "Square-off" or "Switch to manual" button.
---
// File: execution-settings/quantity-multiplier
## Quantity Multiplier
On [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) we have a feature called **Quantity Multiplier**.
***
As the name suggests, the Quantity Multiplier multiplies the number of lots in each leg.
***
If your Overall settings e.g. Overall SL, Overall Profit, and Overall Trailing, are based on [:MTM
](https://docs.algotest.in/algo-trade/strategy-deployment-features/#mtm-graph), then they are also multiplied.
For Example, If I have entered 2 lots in my strategy and 2000 as the overall stop loss in my strategy and I set Quantity Multiplier as 2. Now my strategy will be multiplied by 2. So it will enter with 2 \* 2 = 4 lots and my Overall SL will be 4000.
---
// File: execution-settings/trade-monitoring
As [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) does backtesting on 1 minute [:OHLC
](https://docs.algotest.in/product-blogs/options-trading-terms/#103OHLC) data. So In the backtest, some features like Individual Legwise SL/Target/TSL, etc. are calculated based on a High-Low of 1 minute. It aligns with LTP logic. Some features like RE-ASAP, RE-Momentum, Overall Settings, etc. are checked on [:1-minute candle close](https://docs.algotest.in/product-blogs/algotest-candle-defintion/).
To align with backtest logic we have given AlgoTest users the option to monitor their trades either on LTP or 1 minute Candle Close.
## LTP
LTP means **Last Traded Price**. Enabling this option means as soon as your strategy entry/exit condition is met, your trade will be executed. Selecting this feature allows the algorithm to execute all conditions in strategy on LTP.
## Candle Close
Here, Candle Close means **1-minute candle close i.e. 59th second of every 1 minute**. Selecting this feature allows the algorithm to execute some conditions on candle close and some on LTP. You can read all the features below on which Candle Close is implemented.
- The strategy will check the overall setting conditions on Candle Close.
- This includes validations related to Recost and Lazy Leg, wherever applicable.
- The strategy will evaluate and act on Underlying Stop Loss (SL), Target (Tgt), Momentum, and Lazy Leg conditions on Candle Close to determine execution or adjustments.
- The strategy will execute leg-wise Re-ASAP, Re-Momentum, Recost, and Lazy Leg logic on Candle Close based on the configured rules.
- For strategies with Square Off Complete enabled, the system will square off all legs except the trigger leg on Candle Close.
**Implemented Features on Candle Close in Detail**
| **Features** | **LTP** | **Candle Close** |
| ----------------------------------- | -------------------------------------------- | ---------------- |
| **Re-Entry ASAP & Re-ASAP Reverse** | Say the SL/Tgt for a leg is hit at 10:02:25. | |
***
Under the LTP feature, the Algo will immediately initiate your Re-ASAP condition.
***
It will determine the strike based on your Strike selection criteria and take the new trade.| Say the SL/Tgt for a leg is hit at 10:02:25.
***
Under the Candle Close feature, the Algo will wait till 10:02:59 to initiate your Re-ASAP condition.
***
At 10:02:59, it shall determine the strike based on your Strike selection criteria and take the new trade.| |**Re-Momentum & Re-Momentum Reverse**|Say the SL/Tgt for a leg is hit at 10:02:25. Under the LTP feature, the Algo will immediately initiate the Re-momentum condition.
***
It will determine the strike based on your Strike selection criteria and the Reference Price based on your Simple Momentum condition.|Say the SL/Tgt for a leg is hit at 10:02:25. Under the Candle Close feature, the Algo will wait till 10:02:59 to initiate your Re-Momentum condition. At 10:02:59, it shall determine the strike based on your Strike selection criteria and the Reference Price based on your Simple Momentum condition. In the Candle Close column, which says the strike will start monitoring on Candle Close, after strike selection it will take entry immediately whenever the momentum condition is met and will not check the Candle Close condition again.|
|**Re-Entry at Cost**|Assume the 20 % SL (or Target) for a PE leg sold at Rs 100 is hit at 10:15:15.
***
Under the LTP feature, the Algo will immediately initiate the Re-cost condition and place an advance order (Limit execution) to sell again at Rs 100.|Assume the 20% SL (or Target) for a PE leg sold at Rs. 100 is hit at 10:15:15 AM.
***
Under the Candle Close feature, the Algo will wait until 10:15:59, after which it will start monitoring your Re-Cost condition and place an advance order (Limit execution) to sell again at Rs. 100.|
| **Overall Settings** | **LTP** | **Candle Close** |
| --------------------------------------------- | ------------------------------------------------------------------------------------- | ---------------- |
| **Strategy Level Overall SL, Overall Target** | Strategy level Overall SL/Target conditions are checked continuously on an LTP basis. | |
***
*For example* assume the overall SL for your strategy is MTM = Rs 5000.
***
The strategy level loss reaches Rs 5000 at 12:20:10. The Algo will monitor your Overall conditions and square off your strategy immediately at 12:20:10.|Strategy level Overall SL/Target conditions are checked only on Candle Close.
***
Assume the overall SL for your strategy is MTM = Rs 5000. At 12:20:10 the loss reaches Rs 5000 but reduces to Rs 4500 at 12:20:59.
***
Under the candle close setting the Algo will check your overall SL condition on the 59th second of every minute/candle close.
***
Since the loss at 12:20:59 was Rs 4500 which is less than your strategy level overall SL, it will not exit the strategy.
***
**This is how the backtest engine checks the Overall strategy condition.**| |**Overall TSL**|Strategy Level Overall TSL conditions are updated and checked continuously on an LTP basis.
***
*For example* assume the overall SL for your strategy is MTM = Rs 5000 and the associated TSL is Rs 100- Rs 100.
***
The strategy initially made a profit of Rs 500 resulting in the overall TSL being updated to Rs 4500. Now the market reversed and the strategy went into a loss and at 12:20:10 the loss breached Rs 4500.
***
The Algo will monitor your Overall conditions and square off your strategy immediately at 12:20:10.|Strategy level Overall TSL value is updated continuously but the TSL condition is checked on candle close.
***
*For example* assume the overall SL for your strategy is MTM = Rs 5000 and the associated TSL is Rs 100- Rs 100.
***
The strategy initially made a profit of Rs 500 resulting in the overall TSL being updated to Rs 4500. Now the market reversed and the strategy went into a loss. At 12:20:10 the loss breached Rs 4500 but was reduced to Rs 3500 at 12:20:59.
***
Under the candle the close setting, the Algo will check your overall TSL condition on the 59th second of every minute/candle close. Since the loss at 12:20:59 was Rs 3500 which is less than your strategy level overall TSL, it will not exit the strategy.
***
**This is how the backtest engine checks the Overall strategy condition.**| |**Lock and Trail**|Lock profit/Lock & Trail condition is checked continuously on an LTP basis and the exit trade is taken immediately.
***
Assume your Lock Profit/ Lock and Trail value of Rs 3000 is breached at 12:20:05, the Algo will trigger the lock profit condition and square off all trades immediately at 12:20:05.|Lock profit/Lock and Trail condition is checked at candle close.
***
Assume your Lock Profit/Lock and Trail value of Rs 3000 is breached at 12:20:05 but the profit increases to Rs 3500 by 12:20:59. Under the candle close setting, the Algo will check your Lock profit/Lock & Trail condition on the 59th second of every minute/candle close.
***
Since the profit at 12:20:59 was Rs 3500 which is greater than your strategy level Lock profit value, it will not exit the strategy.|
| **SL/Target/Momentum Based on Underlying** | **LTP** | **Candle Close** |
| ------------------------------------------ | ------------------------------------------------------------------------------ | ----------------------------------------------------------------------------- |
| **Legwise SL on Underlying** | Underlying SL is triggered and trade is taken as soon as the condition is met. | Underlying SL condition is checked on LTP but trade is taken at CANDLE CLOSE. |
***
For eg. the SL might be triggered at 9:30:35 but the trade will happen at 9:30:59.| |**Legwise Target on Underlying**|Underlying Target is triggered and trade is taken as soon as the condition is met.|Underlying Target condition is checked on LTP but trade is taken at CANDLE CLOSE.
***
For eg. the Target might be triggered at 9:30:35 but the trade will happen at 9:30:59.| |**Simple momentum on Underlying**|Simple Momentum Underlying condition triggered and traded as soon as the condition is met.|Simple Momentum condition is checked on LTP but trade is taken at CANDLE CLOSE.
***
For eg. the Momentum condition might be triggered at 9:30:35 but the trade will happen at 9:30:59.| |**Re-Entry (All Kind) with SL/Target on Underlying**|Re-entry trade is taken as soon as the Underlying SL/Target is triggered.|The underlying SL/Target condition is checked on LTP but exit trade is taken at CANDLE CLOSE.
***
For eg. the SL/Target might be triggered at 9:30:35, but the trade will happen at 9:30:59. The Re-entry trade is entered immediately after the SL/Target trade has been taken.| |**Iron Fly: 2 legs SL/Target based on Underlying, 2 Legs SL/Target based on points WITH SQUARE OFF COMPLETE**|All the legs of the strategy are squared off as soon as any of the SL/Target conditions are triggered.|**Condition 1**: Underlying SL/Target for a leg is triggered: All the 4 legs will be executed on candle close.For eg. the underlying SL/Target for a leg might be triggered at 9:30:35 but all the legs will be squared off at 9:30:59.
***
**Condition 2**: Leg with SL/Target based on points is triggered: Trigger leg will be exited instantly on LTP, while all the other legs (3 legs) in strategy will be executed on candle close.|
[:To
know more about how AlgoTest defines a candle, click here.](https://docs.algotest.in/product-blogs/algotest-candle-defintion/)
:::warning
It is important to note that selecting Candle Close as monitoring doesn't mean all features will be on Candle Close. We have implemented Candle Close only for the features that are on Candle Close in backtesting.
:::
---
// File: execution-settings/strategy-execution-time
This [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) feature allows you to advance your entry by up to 59 Secs BEFORE your actual Strategy Entry Time.
***
**For example**, if your Strategy entry time is 9:20 AM, then you can advance the entry to 9:19:01 AM.
**For example** - If my strategy entry timing is 09:50 and I want to enter at 09:49:20, then I will enter 09:49:20 in Strategy Execution Time.
:::note
In case your Strategy Entry Time is 9:16 AM, the earliest you can have your Strategy Execution Time is 9:15:15 AM (or 45 secs in advance).
:::
---
// File: execution-settings/nrml-mis
[AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) allows you to setup your [Execution Settings](https://docs.algotest.in/execution-settings/) for [algo trading](https://algotest.in/feature/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=live) the way you want. One of the settings you can set is whether you want to trade on MIS or NRML.
**MIS** (Margin Intraday Square Off) and **NRML** (Normal) are two types of orders that traders can use in the stock market.
## MIS
Each broker has its own intraday squareoff time. You have to plan your strategy exit before that intraday squareoff time. If you don't exit your position before that time, the broker will automatically exit your position at that time.
You can use this feature by selecting MIS from the MIS/NRML drop-down in execution settings as shown in the image below.
## NRML
NRML orders are meant for traders who prefer to hold their positions for more than a day or prefer more control when they want to square off a trade. It allows you to exit your position even after broker MIS time.
You can use this feature by selecting NRML from the MIS/NRML drop-down in execution settings as shown in the image below.
## Broker Intraday Squareoff Time
| S.No. | **Broker** | **Square off Timing Intraday Cash** | **Square off Timing Intraday Equity Derivates** | **Square off Timing Intraday Currency Derivates** | **Order Type** | **NSE** | **BSE** |
| ----- | --------------------------------------------------------------------- | ----------------------------------- | ----------------------------------------------- | ------------------------------------------------- | -------------- | ------- | ------- |
| 1. | [5Paisa](https://docs.algotest.in/broker/5paisa/) | 3.20pm | 3.20pm | | | Yes | Yes |
| 2. | [A.C. Agrawal Shares](https://docs.algotest.in/broker/acagarwal/) | 3:20pm | 3:25pm | | | Yes | Yes |
| 3. | [Alice Blue](https://docs.algotest.in/broker/aliceblue/) | 3:15pm | 3:15pm | | | Yes | Yes |
| 4. | [Angel One Limited](https://docs.algotest.in/broker/angelonelimited/) | 3:15pm | 3:15pm | | Limit | Yes | Yes |
| 5. | [Bigul ](https://docs.algotest.in/broker/bigul/) | 3:09pm | 3:09pm | | | Yes | Yes |
| 6. | [Choice ](https://docs.algotest.in/broker/choice/) | 3:15pm | 3:15pm | | | Yes | No |
| 7. | [Dhan ](https://docs.algotest.in/broker/dhan/) | 3:20pm | 3:20pm | 4:45pm | | Yes | Yes |
| 8. | [Finvasia](https://docs.algotest.in/broker/finvasia/) | 3:15pm | 3:15pm | | | Yes | Yes |
| 9. | [Firstock](https://docs.algotest.in/broker/firstock/) | 3:25pm | 3:25pm | | | Yes | Yes |
| 10. | [ Fyers](https://docs.algotest.in/broker/fyers/) | 3:15pm | 3:15pm | 4:45pm | | Yes | Yes |
| 11. | [ FlatTrade](https://docs.algotest.in/broker/flattrade/) | 3:20pm | 3:20pm | | | Yes | Yes |
| 12. | [IIFL](https://docs.algotest.in/broker/iifl/) | 3:15pm | 3:15pm | 4:30pm | Market | Yes | Yes |
| 13. | [Jainam (Duck)](https://docs.algotest.in/broker/jainamduck/) | 3:19pm | 3:19pm | | | Yes | Yes |
| 14. | [Jainam (XTS Dealer)](https://docs.algotest.in/broker/jainamxts/) | 3:09pm | 3:09pm | | | Yes | Yes |
| 15. | [JM Financial](https://docs.algotest.in/broker/jmfinancials/) | 3:14pm | 3:14pm | | | Yes | Yes |
| 16. | [Kotak Neo](https://docs.algotest.in/broker/kotakneo/) | 3:20pm | 3:20pm | | | Yes | Yes |
| 17. | [Mastertrust](https://docs.algotest.in/broker/mastertrust/) | 3:15pm | 3:15pm | 4:45pm | | Yes | No |
| 18. | [Motilal Oswal](https://docs.algotest.in/broker/motilaloswal/) | 3:15pm | 3:15pm | | | Yes | No |
| 19. | [Nuvama Wealth](https://docs.algotest.in/broker/nuvama/) | 3:00pm | 3:00 pm | | | Yes | No |
| 20. | [Paytm Money](https://docs.algotest.in/broker/paytm/) | 3:15pm | 3:15pm | | | Yes | No |
| 21. | [Tradejini](https://docs.algotest.in/broker/tradejini/) | 3:14pm | 3:14pm | | | Yes | Yes |
| 22. | [Upstox](https://docs.algotest.in/broker/upstox/) | 3:15pm | 3:15pm | 4:45pm | | Yes | Yes |
| 23. | [Wisdom Capital](https://docs.algotest.in/broker/wisdom/) | 3:15pm | 3:15pm | | | Yes | Yes |
| 24. | [Zebu](https://docs.algotest.in/broker/zebu/) | 3:20pm | 3:20pm | 4:45pm | | Yes | Yes |
| 25. | [Generic Broker](https://docs.algotest.in/broker/genericbroker/) | 3:20pm | 3:25pm | 4:45pm | | Yes | Yes |
To know more in detail you can read [https://algotest.in/blog/mis-vs-nrml/](https://algotest.in/blog/mis-vs-nrml/)
---
// File: execution-settings/target-stoploss
This feature on [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) allows you to set your Stop-Loss/Target based on the traded price. The traded price is the price at which your order is executed.
Let me explain with a simple example how this feature affects your SL/Target if you select Traded.
**Entry**:- 09:20\
**Buy**:- ₹100 CE\
**SL** :- 20 Points\
**Target** - 20 Points
Let's assume at 09:20:00 our order got triggered at ₹100. But due to slippage, our trade got executed at 101.
If we select "Traded" in TGT/SL Ref. Price, our SL is:- 101 - 20 = at 81 and our Target is 101 + 20 = at 121.
## Traded
You can select this option from the drop-down on SL/TGT Ref. The Price is shown in the image below.
---
// File: execution-settings/delay-entry
This feature on [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) allows you to delay entry of any of your legs by 0-50 seconds. You can use this setting to delay your sell legs entry by a few seconds to get a margin benefit. Delay applies only to the initial legs, not to re-entries.
**For example**, if your strategy entry timing is 09:20:00 and you enter 10 seconds in "Delay Entry by," your leg will enter at 09:20:10.
---
// File: execution-settings/entry-order-type
This feature on [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) allows you to execute your entry orders via **Market** or **Limit Order**.
## **Market Order**
It is a type of order that allows the order to be executed at the best available price in the market at that time. Market orders lead to high slippage as compared to limit orders. In this feature, no order is sent to your broker in advance. The system fires a market order as soon as your entry condition is met.
You can select market order by selecting from the drop-down on Entry Order Type as shown in the image below.
The order will not be placed on the broker's end. It will be on the AlgoTest end. As soon as the entry condition is met, Algo will send the order to the broker to execute it.
## **Limit Order**
A limit order is a type of order that allows the order to be executed within a specified limit price only. They can help you to reduce slippage. In this feature, a Limit/SL-L order, with the defined trigger & limit price, will be sent to your broker and shall be placed in the order book of your broker either in advance or at the time of the condition being met.
***
You can select Limit Order from the drop-down on Entry Order Type as shown in the image below.
### Trigger and Limit Buffer
A SL-L order needs to define its trigger and the limit price. Trigger price is the price at which your buy or sell order becomes active for execution. Once the price of the option hits the trigger price set by you, a limit order, with the price set by you, becomes active for execution on the exchange servers. You can enter the Trigger/Limit buffer in both points or percentages.
Let us understand this with a simple example
- Nifty ATM Price at 09:20 is 100
- Entry on Momentum Up = 10 Points
- Entry Order Buy Price = 110
- Buffer Typer = Points
- Trigger buffer = 2 pts
- Limit Buffer = 3 pts
In this case, a SL-L order will be placed in your broker's order book as follows: Trigger price = 110 - 2 = ₹ 108 & Limit Price = 110 + 3 = Rs 113. This means that as soon as the LTP breaches trigger a price of Rs 108 a Limit order of Rs 113 becomes active for execution on the exchange servers.
## **Entry Order**
### Entry Limit/SL-L orders (How they work)
Positions can be entered using Limit/SL-L orders. The order settings will be as follows:
**Time-Based Entry**: A Limit order based on the LTP along with the limit buffer is sent at the time of entry. The Limit Buffer is added in case of a Buy order while the Limit Buffer is subtracted in case of a Sell order.
**Simple Momentum**: Based on your condition a Limit or a SL-L order is sent in advance to your broker
**Simple Momentum up (instrument) + BUY** = SL-L order is placed in advance based on the Trigger and Limit buffer
**Simple Momentum down (instrument) + SELL** = SL-L order is placed in advance based on Trigger and Limit buffer
**Simple Momentum up (instrument) + SELL** = Limit order is placed in advance without any buffer
**Simple Momentum Down (instrument) + BUY** = Limit order is placed in advance without any buffer
:::info
All Simple Momentum strategies based on underlying points are entered via Limit order with a limit buffer as soon as the entry condition is met.
:::
**Re-Entry on Tgt/SL**: All Re-entry orders are either placed in advance or a Limit order is sent at the time of the condition being met.
**Re-Cost**: Limit/SL-L order sent in advance to your broker.
**Re-ASAP**: A limit order with a limit buffer is sent as soon as the previous leg exits.
**Re-Momentum on Instrument**: Limit/SL-L order sent in advance to your broker based on the set momentum as soon as the previous leg exits.
:::info
Strategies that are based on the underlying are entered via a Limit order as soon as the Re-entry condition is met.
:::
**Range Breakout**: All Range Breakout strategies that are based on the instrument have a Limit/SL-L order sent to your broker as soon as the range time ends. For strategies that are based on the underlying a Limit order is sent as soon as the break condition is met.
**General Points:**
- Make sure that your limit and trigger buffer does not lead to a NEGATIVE limit or Trigger price. In such a case the limit order will be rejected and we will enter the position via Market order.
### Convert to Market After
You can enter 0 to 20 seconds to convert to the market after time. This timer is used for converting to the market order when your Limit order skips or your Limit order is partially filled. It operates as follows:
- Entry Limit Order Skipped:
- Price at 09:20 is 100, Momentum Up = 10 Points
- Buy Price = 110
- Trigger buffer = 0 pts, Trigger Price = Rs 110
- Limit Buffer = 3 pts, Limit Price = Rs 113
- Convert to market = 5 secs
If the Limit order of Rs 113 skips, AlgoTest will modify the order incrementally by Rs 3 till the end of the Convert to market time. So the limit order will be modified from Rs 113 to Rs 116 to execute and if again skipped it will modify from Rs 116 to 119. It will keep on doing this for 5 seconds. If your order is not executed within 5 seconds, it will be converted to a market order.
**Limit Order Partially Filled:**
- Price at 09:20 is 100, Momentum Down = 10 Points
- Sell Price = 90
- Trigger buffer = 0 pts, Trigger Price = Rs 90
- Limit Buffer = 3 pts, Limit Price = Rs 87
- Convert to market = 5 secs
If the Limit order of Rs 87 is partially filled (let's say 3 lots filled), AlgoTest will modify the order incrementally by Rs 3 till the end of the conversion to market time for the remaining quantity of 7 lots. So the limit order will be modified from Rs 87 to 84. And if this skip it again modify that from 84 to 81. It will keep on doing this for 5 seconds. If your order is not executed within 5 seconds, it will be converted to a market order. This allows the market to cool down during a spike and revert close to its original price.
## **Exit Order**
### Exit Limit/SL-L orders (How they work)
Positions can be exited using Limit/SL-L orders. The order settings will be as follows:
- Stop Loss defined on Instrument: An SL-L order is sent in advance to your broker.
- Target: If the leg does NOT have an SL defined on the instrument, then a Limit order without any buffer is sent to your broker in advance for the target profit price.
- If the leg has an SL defined on the instrument and an SL-L order already is placed in advance, at the time the target condition is met this SL-L order is modified to a limit order with the Limit buffer.
- Time-Based Exit: A Limit order based on the LTP along with the limit buffer is sent at the time of exit. The Limit Buffer is added in case of a Buy order while the Limit Buffer is subtracted in case of a Sell order. If a Limit/SL order is already placed for exit, then the existing order is modified with LTP and limit buffer.
- Trail Stop Loss: Your placed SL-L order is modified periodically based on your strategies trail condition, and monitoring type.
### Convert to Market After
You can enter **0 to 40 seconds** to convert to the market after time. **The system will chase the LTP till the convert to market after time, whereafter if not filled, the order will be converted to market.**
This timer is used for converting to the market order when your Stop Loss Limit order skips or your Limit order is partially filled. It operates as follows:
**Stop Loss Order Skipped:**
- A sell order with Entry = ₹80 and SL = ₹100
- Trigger buffer = 0 pts, Trigger Price = ₹100
- Limit Buffer = 3 pts, Limit Price = ₹103
- Convert to market = 5 secs
If the Limit order of Rs 103 skips, AlgoTest will modify the order incrementally by Rs 3 till the end of the convert-to-market time. So the limit order will be modified from Rs 103 to Rs106 to execute and if again skipped it will modify from Rs 106 to 109. It will keep on doing this for 5 seconds. If your order is not executed within 5 seconds, it will be converted to a market order.
**Limit Order Partially Filled:**
- A buy order with Entry Price = ₹80 and SL = ₹60
- Qty = 10 lots
- Trigger buffer = 0 pts, Trigger Price = ₹ 60
- Limit Buffer = 3 pts, Limit Price = ₹57
- Convert to market = 5 secs
If the Limit order of ₹57 is partially filled (let's say 3 lots filled), AlgoTest will modify the order incrementally by ₹3 till the end of the conversion to market time for the remaining quantity of 7 lots. So the limit order will be modified from ₹57 to 54. And if this skip it again modify that from ₹54 to 51. It will keep on doing this for 5 seconds. If your order is not executed in limit within 5 seconds, it will be converted to a market order. This allows the market to cool down during a spike and revert close to its original price.
### Monitoring
This feature enables you to monitor your trailing stop-loss on continuous or delayed frequency. This applies only to trailing stop-loss.
#### Continuous Frequency
Under continuous monitoring, your trail SL shall be monitored continuously BUT shall be modified at the broker terminal at the defined trail Frequency.
- Case 1: Eg. A strategy Buys a CE at Rs 100 @ 9: 20 AM with an SL of 20% (Rs 80), trail SL 1-1, monitoring = continuous & trail Frequency = 10 Secs. At time = 9:20:05 AM, the price goes up to Rs 110 and settles at Rs 108 at 9:20:10 AM. In this case, our SL-L order will be modified from Rs 80 to Rs 90 based on the high the CE made at 9:20:05.
- Case 2: Continuing with our above example, at time = 9:20:05 AM, the price goes up to Rs 110 and falls drastically to Rs 90 at 9:20:07 AM and Rs 85 at 9:20:10 AM. In this case, since the Trail SL is being continuously monitored, at 9:20:07 AM when the LTP breaches Rs 90, your SL-L order deployed at Rs 80 will be converted into a market order to close your CE position. This action will be taken in the middle of the trial frequency.
#### Delayed Frequency
Under Delayed monitoring, your trail SL shall be monitored & modified at a Delay of the set trail frequency. Eg. A strategy Buys a CE at ₹ 100 @ 9: 20 AM with an SL of 20% (₹ 80 ), trail SL 1-1, monitoring = Delayed, & trail Frequency = 10 Secs. At time = 9:20:05 AM, the price goes up to Rs 110 and settles at ₹ 108 at 9:20:10 AM. Under Delayed monitoring, our SL-L order will be modified from ₹ 80 to ₹ 88 based on the current LTP at 9:20:10 AM.
---
// File: execution-settings/days
On [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) you can now tag your strategies with the Day of the week. Based on this, you can filter your strategies on the Live Deployment/Paper Deployment Page.
:::warning
This feature can only be used to filter out your strategy on the live trade page in a group of strategies based on the day. It doesn't mean that they will be auto-activated according to the day you select. You need to activate your strategy daily except Signal Strategy.
:::
---
// File: execution-settings/auto-squareoff
## Auto Squareoff
Have you ever thought about what would happen if your algorithm encountered an error because of a margin issue? Will your position remain open, or will you need to handle it manually through your broker?
With [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest), you don't have to worry. Our "Auto Squareoff on Margin Error" feature enables your algorithm to automatically square off positions if your strategy encounters a margin error due to insufficient funds in your broker account.
Stay confident and focused on your trading, knowing that AlgoTest has got you covered!
## How to Enable Auto Squareoff Feature
Here are the steps to enable the auto squareoff feature for your strategy:
- Visit the Live Trade page on[AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) website.
- Scroll down and click on "Setup/Edit Execution Settings" for the strategy you want to use for auto square-off.
- Please enable the auto squareoff feature, as demonstrated in the image below.
Please note: This feature is only applicable to errors caused by margin insufficiency in your account. In the event of a margin error, we will instruct the broker to close the positions. However, there is a slim possibility that your broker may reject this instruction. In such cases, it is recommended to also check with your broker after the strategy has been closed due to a margin error.
## Reasons for Margin Error & Solution
There could be several reasons why a broker might reject your order due to insufficient funds.
### Insufficient Funds
Your broker may reject orders if you don't have sufficient funds in your account to execute the strategy. Make sure to know beforehand how much margin is required to execute the strategy.
To determine this, you can use the "Estimate Margin" feature in AlgoTest. Backtest your strategy in AlgoTest and click on the "Calculate Margin" button to calculate the required margin for running this strategy.
### Hedges
It's important to remember that some traders use hedges or buy legs to obtain margin benefits in an Option Selling/Futures strategy. If you're not familiar with using hedges properly, your broker may reject your orders.
To get margin benefits, for entry, you first need to execute hedges or buy legs, and then you can execute sell legs. For exit, you first need to execute sell legs, and then hedges or buy legs. AlgoTest provides a "[:delay
entry](https://docs.algotest.in/execution-settings/delay-entry/)" feature in execution settings, allowing you to delay entry of sell legs to obtain margin benefit. During exit, AlgoTest will send buy orders after sell orders by default.
---
// File: execution-settings/index
# List of Execution Setting Features
🔧 Execution Setting Features
- [**Quantity Multiplier**](https://docs.algotest.in/execution-settings/quantity-multiplier/)
- [**Trade Monitoring**](https://docs.algotest.in/execution-settings/trade-monitoring/)
- [**Strategy Execution Time**](https://docs.algotest.in/execution-settings/strategy-execution-time/)
- [**NRML/MIS**](https://docs.algotest.in/execution-settings/nrml-mis/)
- [**Target (Tgt) / Stoploss (SL) Ref Price**](https://docs.algotest.in/execution-settings/tgt-sl-ref-price/)
- [**Delay Entry By**](https://docs.algotest.in/execution-settings/delay-entry/)
- [**Entry and Exit Order Type**](https://docs.algotest.in/execution-settings/entry-and-exit-order-type/)
- [**Trading Days Feature**](https://docs.algotest.in/execution-settings/days-feature/)
- [**Auto-SquareOff**](https://docs.algotest.in/execution-settings/auto-squareoff/)
# What are the Execution Settings in AlgoTest?
[Execution Settings](https://algotest.in/feature/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=live) give [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) users more control by allowing them to customise their order executions as per their wishes. Think of it as more power in your hands!
You need to set these settings for each strategy before deploying it for live trading. It is a one-time process and you don't need to do it daily.
## How to do Execution Settings in AlgoTest?
Please follow the below steps to do Execution Settings in AlgoTest.
- Go to the Live Trade page in your AlgoTest account
- Scroll down and it will show you the setup execution/edit execution button for each strategy. Click on Edit Execution/Setup Execution Settings as shown in the image below.
- It will show you a list of features available to customize your order execution as shown below. You can simply click on Setup Execution Settings to save them.
---
// File: financial-education/index
# 📚 Financial Education
Welcome to the **Financial Education Hub**! Dive into comprehensive resources on **Futures** and **Options Trading**. Click on the sections below to explore topics and enhance your trading strategies with AlgoTest tools.
***
## 🔮 Futures Education
🌟 Key Topics (Click to expand)
- [Overview of Futures](https://docs.algotest.in/financial-education/futures/)
- [📖 Background on Futures](https://docs.algotest.in/financial-education/futures/futures-background/)
- [📝 Futures Contracts](https://docs.algotest.in/financial-education/futures/futures-contracts/)
- [🛡️ Hedging with Futures](https://docs.algotest.in/financial-education/futures/futures-hedging/)
- [📈 Futures Pricing](https://docs.algotest.in/financial-education/futures/futures-pricing/)
- [⚙️ Executing Futures Trades](https://docs.algotest.in/financial-education/futures/futures-trade/)
📊 Advanced Concepts (Click to expand)
- [⚖️ Leverage and Payoff](https://docs.algotest.in/financial-education/futures/leverage-payoff/)
- [🧮 Margin Calculator](https://docs.algotest.in/financial-education/futures/margin-calculator/)
- [💸 Margins and M2M (Mark-to-Market)](https://docs.algotest.in/financial-education/futures/margin-m2m/)
- [🏦 Nifty Futures](https://docs.algotest.in/financial-education/futures/nifty-futures/)
- [📊 Open Interest](https://docs.algotest.in/financial-education/futures/open-interest/)
- [📦 Physical Settlement of Futures](https://docs.algotest.in/financial-education/futures/physical-settlement/)
- [📉 Shorting in Futures](https://docs.algotest.in/financial-education/futures/shorting/)
***
## 💡 Options Education
🌟 Key Topics (Click to expand)
- [Overview of Options](https://docs.algotest.in/financial-education/options/)
- [📈 Buying Call Options](https://docs.algotest.in/financial-education/options/buying-call-options/)
- [📉 Buying Put Options](https://docs.algotest.in/financial-education/options/buying-put-option/)
- [⚡ Delta: Price Sensitivity](https://docs.algotest.in/financial-education/options/delta/)
- [⚙️ Gamma: Rate of Delta Change](https://docs.algotest.in/financial-education/options/gamma/)
📊 Advanced Concepts (Click to expand)
- [🧮 Greek Calculator](https://docs.algotest.in/financial-education/options/greek-calculator/)
- [🔗 Interactions Between Greeks](https://docs.algotest.in/financial-education/options/greek-interactions/)
- [🎯 Mastering Call and Put Options](https://docs.algotest.in/financial-education/options/mastering-call-put/)
- [📌 Understanding Moneyness](https://docs.algotest.in/financial-education/options/moneyness/)
- [📜 Basics of Options Trading](https://docs.algotest.in/financial-education/options/options-trading-basics/)
- [📝 Key Options Trading Terms](https://docs.algotest.in/financial-education/options/options-trading-terms/)
🔀 Trading Strategies (Click to expand)
- [💵 Selling a Put Option](https://docs.algotest.in/financial-education/options/selling-a-put-option/)
- [📈 Selling/Writing Call Options](https://docs.algotest.in/financial-education/options/selling-writing-call-option/)
- [📖 Summarising Call and Put Options](https://docs.algotest.in/financial-education/options/summarising-call-and-put-option/)
- [⏳ Theta: Time Decay](https://docs.algotest.in/financial-education/options/theta/)
- [📊 Understanding Volatility](https://docs.algotest.in/financial-education/options/understanding-volatility/)
- [🌪️ Vega: Sensitivity to Volatility](https://docs.algotest.in/financial-education/options/vega/)
🌈 Volatility Insights (Click to expand)
- [🚀 Volatility Applications in Trading](https://docs.algotest.in/financial-education/options/volatility-applications/)
- [📐 Volatility and Normal Distribution](https://docs.algotest.in/financial-education/options/volatility-normal-distribution/)
🔗 Explore Options Strategies
- [Options Strategies Overview](https://docs.algotest.in/financial-education/options-strategies/)
- [Bear Call Ladder](https://docs.algotest.in/financial-education/options-strategies/bear-call-ladder/)
- [Bear Call Spread](https://docs.algotest.in/financial-education/options-strategies/bear-call-spread/)
- [Bear Put Spread](https://docs.algotest.in/financial-education/options-strategies/bear-put-spread/)
- [Bull Call Spread](https://docs.algotest.in/financial-education/options-strategies/bull-call-spread/)
- [Bull Put Spread](https://docs.algotest.in/financial-education/options-strategies/bull-put-spread/)
- [Call Ratio Back Spread](https://docs.algotest.in/financial-education/options-strategies/call-ratio-back-spread/)
- [Iron Condor](https://docs.algotest.in/financial-education/options-strategies/iron-condor/)
- [Long and Short Strangle](https://docs.algotest.in/financial-education/options-strategies/long-short-strangle/)
- [Long Straddle](https://docs.algotest.in/financial-education/options-strategies/long-straddle/)
- [Max Pain & Put-Call Ratio](https://docs.algotest.in/financial-education/options-strategies/max-pain-put-call-ratio/)
- [Put Ratio Back Spread](https://docs.algotest.in/financial-education/options-strategies/put-ratio-back-spread/)
- [Short Straddle](https://docs.algotest.in/financial-education/options-strategies/short-straddle/)
***
## 🔍 Explore More
Discover actionable insights and advanced tools to take your trading strategies to the next level:
- 💡 Use AlgoTest’s [**Strategy Builder**](https://www.algotest.in/feature/strategy-builder/) and [**Simulator**](https://www.algotest.in/feature/signals/) to backtest and execute these concepts with confidence.
---
// File: financial-education/futures/index
## 📚 Futures Education Navigation
🔗 Explore Futures Topics
- [Futures Background](https://docs.algotest.in/financial-education/futures/futures-background/)
- [Futures Contracts](https://docs.algotest.in/financial-education/futures/futures-contracts/)
- [Futures Hedging](https://docs.algotest.in/financial-education/futures/futures-hedging/)
- [Futures Pricing](https://docs.algotest.in/financial-education/futures/futures-pricing/)
- [Futures Trade](https://docs.algotest.in/financial-education/futures/futures-trade/)
- [Leverage and Payoff](https://docs.algotest.in/financial-education/futures/leverage-payoff/)
- [Margin Calculator](https://docs.algotest.in/financial-education/futures/margin-calculator/)
- [Margin and M2M](https://docs.algotest.in/financial-education/futures/margin-m2m/)
- [Nifty Futures](https://docs.algotest.in/financial-education/futures/nifty-futures/)
- [Open Interest](https://docs.algotest.in/financial-education/futures/open-interest/)
- [Physical Settlement](https://docs.algotest.in/financial-education/futures/physical-settlement/)
- [Shorting Futures](https://docs.algotest.in/financial-education/futures/shorting/)
## What Are Futures?
Futures are financial contracts obligating the buyer to purchase or the seller to sell an asset at a predetermined price on a specified future date. These contracts are standardised and traded on regulated exchanges, making them accessible and transparent for traders.
### Key Features of Futures
- **Standardisation**: Futures contracts specify the quantity, quality, and settlement terms of the underlying asset, ensuring uniformity across trades.
- **Underlying Assets**: These can include stocks, indices, commodities, or currencies.
- **Leverage**: Futures allow traders to control a large position with a fraction of the contract value as margin.
- **Mark-to-Market (M2M)**: Profits and losses are settled daily based on the change in the contract's value.
### How Futures Work
When entering a futures contract, the buyer agrees to purchase, and the seller agrees to deliver, the underlying asset at the contract's expiry. Traders can close their positions before expiry or hold them for physical or cash settlement.
**Example**:\
If you buy a Nifty Futures contract at ₹17,500 and the index rises to ₹18,000, you gain ₹500 multiplied by the lot size of the contract.
### Why Trade Futures?
1. **Speculation**: Profit from price movements without owning the underlying asset.
2. **Hedging**: Protect portfolios from adverse market movements.
3. **Liquidity**: High trading volumes ensure ease of entry and exit.
4. **Diversification**: Futures offer exposure to multiple asset classes.
### Risks of Futures
- **Leverage Risk**: While leverage amplifies profits, it also increases potential losses.
- **Market Volatility**: Sudden price swings can lead to significant losses.
- **Margin Requirements**: Traders must maintain adequate margins, which may increase near contract expiry.
### Applications for AlgoTest Traders
Using tools like the **Strategy Builder** and **Simulator**, AlgoTest traders can create, backtest, and refine strategies involving futures contracts. This ensures they understand potential outcomes and manage risk effectively.
In summary, futures are versatile instruments for speculation and risk management, providing opportunities for traders to profit in both rising and falling markets.
---
// File: financial-education/futures/01-futures-background
## Background - Forwards Market
The forwards market is a foundational concept in the world of financial markets. It involves contracts where two parties agree to buy or sell an asset at a predetermined price on a specific future date. These contracts are not standardised and are typically traded over-the-counter (OTC), meaning they are customised to meet the specific needs of the buyer and seller. Forwards are widely used for hedging, speculation, and risk management in various markets, including commodities, currencies, and securities.
### How Forwards Work
Imagine a coffee producer who fears a drop in coffee prices in six months. To mitigate the risk, they enter into a forward contract with a buyer (say, a coffee distributor). They agree on a fixed price today for the coffee to be delivered in six months. The producer benefits if prices drop because they have secured a higher rate, while the buyer benefits if prices rise, as they’ve locked in a lower price.
Forwards are often the first step toward understanding more complex trading instruments like futures and options, which are central to AlgoTest’s platform.
### Key Characteristics of Forwards
1. **Customization**: Forwards are private contracts and are highly customizable. This is different from futures, which are standardised and traded on exchanges.
2. **Risk of Default**: Since forwards are not regulated by an exchange, there is a risk that one party may default on the contract. This is known as counterparty risk.
3. **No Daily Settlement**: Unlike futures, forwards don’t have a daily settlement process. This means gains and losses are realised at the end of the contract.
### Forwards and AlgoTest
At AlgoTest, traders engage with sophisticated instruments like options and futures, but understanding forwards can sharpen risk management skills. Although forwards are not directly used in options trading, they help illustrate fundamental hedging techniques. When you use our Strategy Builder to create option strategies or run simulations, the concept of securing a future price (like a forward contract) can influence decisions like buying puts or calls to protect against price movements.
### Fun Example with a Chart
Let’s say you’re a trader on AlgoTest, and you want to hedge a position on AXIS BANK stock. You believe the stock price will drop in the next three months, so you enter into a forward contract to sell it at today’s price of ₹800 per share. If the price drops to ₹700, you’ve saved ₹100 per share, effectively reducing your risk. However, if the price rises to ₹900, you lose out on the ₹100 gain. This is the risk-reward dynamic that makes forwards a valuable hedging tool.
Here’s a simple chart to help visualize this concept:
| Price (in ₹) | Scenario |
| ------------- | ------------------------------- |
| 900 | Loss of ₹100 per share |
| 850 | Loss of ₹50 per share |
| 800 (Forward) | No profit, no loss (Break-even) |
| 750 | Gain of ₹50 per share |
| 700 | Gain of ₹100 per share |
---
// File: financial-education/futures/02-futures-contracts
## Introducing Futures Contracts
Futures contracts are an essential part of financial markets, offering traders a way to buy or sell an asset at a predetermined price on a future date. These contracts are standardised, meaning they are traded on regulated exchanges like the National Stock Exchange (NSE), making them accessible and secure for both retail and institutional traders.
For AlgoTest users, understanding futures contracts is key to managing risk, leveraging market exposure, and speculating on price movements. Futures allow traders to benefit from both upward and downward price movements of the underlying asset, such as stocks, commodities, or indices like Nifty 50 and BankNifty. At AlgoTest, our Strategy Builder and Simulator enable traders to experiment with different futures trading strategies and run backtests using historical data.
### How Futures Work
A futures contract is essentially an agreement between two parties to buy or sell an asset at a predetermined price on a specific future date. Unlike forward contracts, which are customised and traded privately, futures are standardised and traded on exchanges. This standardisation includes details like contract size, expiration date, and settlement procedures.
Let’s break down a typical futures contract scenario: Suppose you’re bullish on Infosys and expect the stock price to rise. Instead of buying the stock outright, you enter into an Infosys futures contract at a price of ₹1,400 per share. Each futures contract represents a specific quantity of shares, typically 100. If Infosys stock rises to ₹1,450 by the contract’s expiration date, your futures position will increase by ₹50 per share, translating to a profit of ₹5,000 (₹50 x 100 shares).
Here’s a chart to visualise the price movements:
| Price (in ₹) | Profit/Loss per Share |
| ------------- | --------------------- |
| 1,450 | +₹50 |
| 1,400 (Entry) | ₹0 |
| 1,350 | -₹50 |
### Why Use Futures?
1. **Leverage**: Futures allow you to control a large position with a relatively small margin, amplifying your potential returns. However, leverage can also magnify losses, making risk management critical. AlgoTest’s Simulator can help you understand how leverage impacts your strategy, especially during volatile market conditions.
2. **Hedging**: Futures are an excellent tool for hedging against adverse price movements. For example, if you’re holding Infosys shares and fear a market downturn, you can enter into a short futures position to offset potential losses.
3. **Speculation**: Many traders use futures to speculate on the price direction of an asset. Whether you’re bullish or bearish, you can take advantage of futures contracts to profit from price movements without owning the underlying asset.
### Futures vs. Forwards
Although similar, forwards and futures have key differences. Forwards are private contracts and can be customised, while futures are standardised and traded on exchanges. This makes futures more liquid and secure, as they are backed by clearinghouses, reducing the risk of default. Additionally, futures are subject to mark-to-market (M2M), meaning gains and losses are settled daily, rather than at the end of the contract as with forwards.
### Using AlgoTest for Futures Trading
With AlgoTest’s Strategy Builder, you can create complex strategies involving futures and options. For example, you can combine futures contracts with put or call options to build a comprehensive risk management strategy. The Simulator allows you to test these strategies using real historical data, ensuring you understand their performance before deploying capital in live markets.
### Example Strategy
Suppose you believe the market is heading for a correction. You could enter into a short position on Nifty futures while simultaneously buying a call option as insurance in case the market rebounds. This strategy helps you hedge against significant losses while giving you a profit opportunity if the market falls.
Futures contracts offer AlgoTest users the ability to enhance their trading strategies with leveraged exposure, risk management tools, and the potential to profit in both rising and falling markets. By combining futures with options in the Strategy Builder, traders can create versatile approaches suited to their risk tolerance and market outlook.
---
// File: financial-education/futures/03-futures-trade
## The Futures Trade
Futures trading offers a powerful way for traders to speculate on the price movement of assets like stocks, indices, or commodities. A futures contract is a standardised agreement to buy or sell an asset at a specific price on a future date, making it a highly liquid and regulated financial instrument. In this chapter, we’ll explore the practical aspects of executing a futures trade and how traders at AlgoTest can leverage these contracts.
### How Does a Futures Trade Work?
Let’s break it down with an example. Imagine it’s December 15th, 2014, and Tata Consultancy Services (TCS) announces cautious revenue growth, causing the stock price to drop by 3.6%. As a trader, you believe the market overreacted and the price will bounce back. Instead of buying TCS shares in the spot market, you decide to enter into a futures contract. You purchase 1 lot of TCS futures (125 shares) at ₹2,374.9 per share.
The minimum number of shares you must buy in a futures contract is known as a lot size, and in this case, it’s 125. The value of your futures contract is the lot size multiplied by the price, which equals ₹296,862.5 (₹2,374.9 x 125).
### The Trade Process
1. **Margin Requirement**: To buy a futures contract, you don’t pay the entire contract value upfront. Instead, you deposit a margin, a percentage of the total value, as a sort of token advance. At AlgoTest, you can calculate the margin using our margin calculator in the Strategy Builder.
2. **Counterparty Match**: Once you’ve placed the order, the exchange’s system finds a seller who has the opposite view, i.e., someone who believes TCS’s price will fall further. The contract is digitally signed, binding both parties to the agreement.
3. **Daily Settlement (M2M)**: Futures contracts are marked-to-market, meaning your profit or loss is settled daily based on the change in the futures price. If TCS futures rise to ₹2,450 the next day, you gain ₹75.1 per share, resulting in an overall profit of ₹9,387.5 (₹75.1 x 125).
### Example Scenarios
**Scenario 1 – Price Increase**:\
Suppose by the contract’s expiry (December 24th, 2014), TCS futures rise to ₹2,450. Your profit would be ₹75.1 per share or ₹9,387.5 in total.
**Scenario 2 – Price Decrease**:\
If TCS futures drop to ₹2,300, you would incur a loss of ₹74.9 per share or ₹9,375 in total.
**Scenario 3 – Price Remains Unchanged**:\
If the price stays the same, neither party benefits, and the contract closes without profit or loss.
### Exiting a Futures Trade
You’re not required to hold a futures contract until the expiry date. You can exit (or “square off”) your position by selling your futures contract at any time before expiration. For example, if you bought 1 lot of TCS futures at ₹2,374.9 and sold it at ₹2,460 the next day, you lock in a profit of ₹10,637.5. This is known as risk transfer—passing the price risk to another trader.
### Conclusion
Futures trading offers AlgoTest users flexibility and leverage, but it also requires careful risk management. By utilising our Strategy Builder and Simulator, you can test your futures trading strategies with real historical data before risking your capital.
---
// File: financial-education/futures/04-leverage-payoff
## Leverage & Payoff
Leverage is one of the most important aspects of futures trading. It allows traders to control a large position with a relatively small amount of capital, amplifying both potential profits and risks. For AlgoTest users, understanding leverage is critical for building effective strategies in our Strategy Builder and testing them in the Simulator with historical data.
### What is Leverage?
Leverage enables you to take a larger position in the market than your available capital would normally allow. It works by requiring only a fraction of the total contract value, called margin, to initiate a futures trade. While this can greatly magnify profits, it also exposes you to higher risks since even small changes in the underlying asset’s price can have a significant impact on your position.
### Example: Real Estate Leverage
Let’s take an example from real estate to understand leverage better. Suppose you buy a property worth ₹1 crore, but you only need to pay 10% upfront, i.e., ₹10 lakh. A year later, if the property’s value rises to ₹1.25 crore, your profit would be ₹25 lakh. That’s a 250% return on your initial investment of ₹10 lakh, not the property’s full value. This is how leverage multiplies returns with a smaller cash outlay.
### How Leverage Works in Futures Trading
In futures trading, leverage works similarly. Let’s say you want to trade TCS futures. The contract value is ₹2,95,250 (for 125 shares at ₹2,362 per share). Instead of paying the full amount, you only need to pay the margin, which is typically around 14% of the contract value. In this case, the margin would be ₹41,335.
Now, if the price of TCS rises to ₹2,519 per share, the contract’s value increases to ₹3,14,875, generating a profit of ₹19,625 (the difference between ₹3,14,875 and ₹2,95,250). This profit is a 47% return on the margin you paid (₹41,335), even though the stock price only increased by about 6.6%.
Here’s a simple chart illustrating this:
| Leverage (Contract Value) | Price Change | Profit |
| ------------------------- | ------------ | -------- |
| ₹2,95,250 | +₹157 | ₹19,625 |
| ₹2,95,250 | -₹157 | -₹19,625 |
### Risks of Leverage
Leverage can be a double-edged sword. If the price moves against your position, you could incur significant losses. In our TCS example, if the stock price had dropped by ₹157 per share, you would have lost ₹19,625, which is nearly half of your margin.
Managing risk is essential when using leverage. AlgoTest’s Strategy Builder allows you to create strategies with built-in risk management tools like stop losses, while the Simulator lets you test how your leveraged positions would perform under real market conditions using historical data.
### Futures Payoff
The payoff from a futures trade is linear. If you’re long on TCS futures and the price rises, you profit for every upward movement. If the price falls, you lose the same amount per downward movement. This direct proportionality makes futures a “linear payoff” instrument.
Understanding how to use leverage responsibly can help AlgoTest traders maximise their gains while mitigating potential losses in volatile markets.
---
// File: financial-education/futures/05-margin-m2m
## Margin & M2M
Margins and Mark-to-Market (M2M) are crucial concepts in futures trading, acting as safeguards to ensure smooth transactions and manage risk effectively. AlgoTest users can leverage these concepts in the Strategy Builder and Simulator to understand how trades evolve daily.
### What is Margin?
When you initiate a futures trade, you don’t pay the full contract value. Instead, a fraction called the initial margin is blocked in your trading account. This margin consists of two parts:
1. **SPAN Margin**: The minimum margin required by the exchange.
2. **Exposure Margin**: An additional cushion imposed by the broker to manage risk.
The margin enables traders to control a large position with limited capital, offering leverage. For example, if you trade TCS futures with a contract value of ₹3,00,000, the required margin may be ₹40,000, allowing you to control the entire ₹3,00,000 contract with just ₹40,000.
### What is Mark-to-Market (M2M)?
M2M is a daily accounting procedure where profits or losses are settled based on the day’s closing futures price. This ensures that both parties—buyer and seller—are “fair and square” at the end of each trading day. The day’s profits are credited, and losses are debited from the trader’s account.
Let’s look at a simplified example.
**Example: TCS Futures Trade**
- On December 1st, you buy 1 lot of TCS futures at ₹2,000. The lot size is 100, so your contract value is ₹2,00,000.
- The next day, the futures price increases to ₹2,050. Your profit for the day would be ₹5,000 (₹50 gain per share x 100 shares). This amount is credited to your account through the M2M process.
Here’s a day-to-day breakdown:
| Day | Closing Price | Profit/Loss |
| ----- | ------------- | ----------- |
| Dec 1 | ₹2,000 | Entry |
| Dec 2 | ₹2,050 | +₹5,000 |
| Dec 3 | ₹2,025 | -₹2,500 |
| Dec 4 | ₹2,075 | +₹5,000 |
Your daily profit or loss is calculated based on the previous day’s closing price, ensuring transparency and limiting counterparty risk.
### Margins and AlgoTest
On AlgoTest, you can calculate margins for your trades using our Margin Calculator. Margins allow you to take larger positions with less capital, but they also amplify risks. A small change in price can result in significant profits or losses, especially when trading with leverage.
Using AlgoTest’s Simulator, you can backtest these concepts to see how your margin and M2M work in real-world scenarios. This helps you prepare for market volatility and manage risk effectively.
### Final Thoughts
Understanding margin and M2M is essential for successful futures trading. Margins provide the leverage needed for larger trades, while M2M ensures fair settlement and reduces default risk. AlgoTest’s tools can help you apply these principles, ensuring that you navigate leveraged trades with confidence.
---
// File: financial-education/futures/06-margin-calculator
## Margin Calculator
A margin calculator is a vital tool in futures trading, allowing traders to determine the margin required to open a position. At AlgoTest, we make use of margin calculators to help traders manage their capital effectively, especially when using our Strategy Builder and Simulator for futures and options trades.
### What is a Margin Calculator?
A margin calculator calculates the initial margin needed for a trade based on the SPAN (Standard Portfolio Analysis of Risk) and exposure margins. This gives traders the ability to understand how much capital they need to allocate for futures contracts, which can differ depending on market volatility and the underlying asset.
**Example**: If you’re planning to trade TCS futures with a contract value of ₹3,00,000, a margin calculator will determine the margin required—say ₹40,000—based on the SPAN and exposure margins applicable.
### How to Use a Margin Calculator
Let’s take an example where you want to buy a futures contract for AXIS BANK. Using a margin calculator involves the following steps:
1. **Select the Contract**: Choose the exchange (NSE), the product (futures), and the stock (AXIS BANK) that you wish to trade.
2. **Lot Size and Expiry Date**: The margin calculator will automatically populate the lot size and the expiry date for the selected contract.
3. **Calculate Margins**: Based on market conditions, the calculator will display the SPAN margin, exposure margin, and total initial margin required to execute the trade. For instance, the SPAN margin for AXIS BANK futures might be ₹20,000, and the exposure margin ₹15,000, resulting in a total initial margin of ₹35,000.
### The Role of SPAN and Exposure Margins
- **SPAN Margin**: This is the minimum margin set by the exchange to manage risk.
- **Exposure Margin**: This acts as a buffer to account for sudden market volatility, reducing counterparty risk.
Here’s a simple chart that shows how margin breaks down for a futures contract:
| Futures Contract | SPAN Margin | Exposure Margin | Total Margin |
| ---------------- | ----------- | --------------- | ------------ |
| AXIS BANK | ₹20,000 | ₹15,000 | ₹35,000 |
| TCS | ₹25,000 | ₹17,000 | ₹42,000 |
### Expiry Dates and Rolling Over Contracts
Futures contracts have an expiry date, and it’s important to know how long your position will remain open. If you believe the market direction will continue after your contract’s expiry, you can choose to “roll over” to a further contract.
**Example**: If you hold a January contract that expires on the 29th and the market outlook is still favorable, you can roll over into a February contract, extending your position. A margin calculator will adjust for the new margin requirements based on the new contract.
### Benefits for AlgoTest Traders
AlgoTest’s Strategy Builder incorporates margin calculators to help traders determine margin requirements for their strategies. With our Simulator, you can backtest strategies and see how margin requirements fluctuate based on historical data, helping you optimize your capital allocation.
Understanding how margin works allows you to trade confidently, ensuring that you have sufficient funds to maintain your positions, even in volatile market conditions.
***
In this section, we dive deeper into how margins are calculated and the role of Risk Management Systems (RMS). AlgoTest users, when creating strategies in our Strategy Builder, can use margin calculators to understand how much margin is required based on different trading scenarios.
### Understanding Margins and RMS
The Risk Management System (RMS) at a brokerage oversees the margin requirements. When you place a trade, the RMS evaluates your order based on several key factors, including the contract type, trade size, and price, to determine whether you have enough margin to cover potential losses.
However, there’s often more to consider than just the contract value. You might want to specify additional details like the trade duration or set a stop-loss to manage your risk. The more information you provide about your trade, the better the RMS system can assess the risk and adjust your margin requirement accordingly.
**Example**: Let’s say you’re trading BPCL futures. If you hold the position overnight, you’re exposed to risks beyond just daily price fluctuations. For instance, if international crude oil prices surge overnight, BPCL stock could drop when the market opens. This additional risk, known as overnight risk, is a critical factor in how margins are calculated. The longer you hold a trade, the higher the potential risk, and consequently, the higher the margin required.
In contrast, if you plan to trade intraday—meaning you’ll close the position before the end of the trading day—the risk is limited to just that day’s market volatility. In such cases, the margin required would be lower than for an overnight position.
### Types of Product Orders
Understanding how different product types affect margin requirements is crucial. Here are a few product types commonly used in futures trading:
1. **NRML (Normal)**: This product type is used when you intend to hold your position overnight or over several days. NRML requires the full SPAN + Exposure margin because the RMS system has no information about your exit plan or stop-loss.
2. **MIS (Margin Intraday Square-Off)**: For intraday trading, where all positions are closed within the day, the margin requirement is lower than NRML since the risk exposure is limited to one day.
3. **CO (Cover Order)**: This is an intraday product where you specify a stop-loss, giving the RMS system more clarity about the risk. Since the maximum loss is predefined, the margin requirement is even lower than MIS.
4. **BO (Bracket Order)**: Similar to CO, but with the added feature of setting both a stop-loss and a target price. This helps traders manage risk and reward simultaneously, and like CO, it reduces the margin requirement.
### Practical Use for AlgoTest Traders
AlgoTest’s Margin Calculator lets traders test different scenarios based on their trade plans. If you’re unsure about how much margin is required for your strategy, our Simulator allows you to backtest trades and adjust your strategies accordingly. For instance, if you know you’ll be using a cover order, you can input the trade details and the system will calculate the margin, factoring in the specified stop-loss.
### Conclusion
By understanding how margins are calculated and the role of RMS, traders can better manage their capital and risk exposure. AlgoTest’s tools make this easier by allowing users to simulate different scenarios and optimise their trading strategies based on margin requirements.
---
// File: financial-education/futures/07-shorting
## Shorting
Shorting, also known as short selling, is a strategy where traders sell a stock or futures contract first with the intention of buying it back later at a lower price. This approach allows traders to profit from declining prices. Unlike traditional “buy low, sell high” strategies, shorting flips the sequence to “sell high, buy low.”
For AlgoTest users, understanding shorting is essential for taking advantage of both upward and downward price movements in the market, particularly when using the Strategy Builder to develop hedging strategies or testing them with the Simulator.
### How Shorting Works
Let’s imagine you expect HCL Technologies stock to decline. You short-sell 50 shares at ₹1,990 per share. Your goal is to buy the stock back at a lower price—let’s say ₹1,950. If your prediction is correct, you’ll profit from the ₹40 per share difference (₹1,990 - ₹1,950), resulting in a total gain of ₹2,000 (₹40 x 50 shares).
**Shorting Example:**
Here’s a simple table that outlines the possible outcomes of your short trade:
| Price Movement | Action | Profit/Loss |
| -------------- | ------------------ | -------------- |
| ₹1,950 | Buy back at lower | +₹40 per share |
| ₹2,000 | Buy back at higher | -₹10 per share |
In this scenario, you profit when the stock declines but incur a loss if it rises.
### Risks of Shorting
Shorting comes with significant risks because the potential losses are theoretically unlimited. If a stock price continues to rise, you’ll have to buy it back at a much higher price than your selling point, leading to a loss. For example, if HCL Technologies rises to ₹2,100, you’d face a loss of ₹110 per share (₹2,100 - ₹1,990), or ₹5,500 on your 50 shares.
### Shorting in the Spot vs. Futures Market
1. **Spot Market**: In the spot market, shorting must be done on an intraday basis, meaning you must close your position (buy back the stock) by the end of the trading day. Failure to do so may result in penalties due to delivery obligations, also known as short delivery. This restriction makes shorting less flexible in the spot market.
2. **Futures Market**: Shorting in the futures market, on the other hand, allows you to carry positions overnight. This flexibility is one reason why futures trading is popular among AlgoTest traders. Futures shorting also requires margin, just like going long, and follows the same mark-to-market (M2M) process for daily profit and loss settlements.
### Using AlgoTest for Shorting Strategies
With AlgoTest’s Strategy Builder, you can create complex shorting strategies, combining them with options to hedge against risk. Our Simulator allows you to test these strategies using real historical data, providing insights into how short positions would perform under different market conditions.
### Conclusion
Shorting is a powerful tool for traders, allowing them to profit in bearish markets. However, it carries significant risks and should be used with caution. By utilising AlgoTest’s tools, traders can refine their shorting strategies, ensuring they’re prepared for market fluctuations.
---
// File: financial-education/futures/08-nifty-futures
## The Nifty Futures
Nifty Futures are among the most widely traded futures contracts in India. These contracts derive their value from the Nifty 50 Index, making them a vital tool for traders on platforms like AlgoTest. Nifty futures offer traders a way to speculate on or hedge against movements in the broader Indian market.
### Basics of Nifty Futures
Nifty Futures contracts are standardised agreements that allow traders to buy or sell the Nifty Index at a predetermined price on a future date. Because they derive their value from the Nifty Index, their prices closely follow the index’s movements. If the Nifty 50 Index rises, so does the value of Nifty Futures, and vice versa.
Each Nifty Futures contract represents 75 units of the Nifty Index, and contracts are available in three variants—current month, mid-month, and far month.
**Example**:\
Let’s assume the Nifty Index is currently trading at 17,500, and you buy one lot of Nifty Futures at the current price. The value of the contract is ₹17,500 x 75 = ₹13,12,500. If the Nifty Index rises to 18,000, the new value of your futures contract will be ₹18,000 x 75 = ₹13,50,000, giving you a profit of ₹37,500.
Here’s how the payoff is calculated:
| Nifty Price | Contract Value | Profit/Loss |
| ----------- | -------------- | ----------- |
| 17,500 | ₹13,12,500 | Entry Point |
| 18,000 | ₹13,50,000 | +₹37,500 |
| 17,200 | ₹12,90,000 | -₹22,500 |
### Margin Requirements
Trading Nifty Futures requires traders to pay a margin, which is a fraction of the contract value. The margin ensures that both buyers and sellers have enough capital to cover potential losses.
For instance, the margin for Nifty Futures might be ₹70,000 for NRML orders and lower for intraday orders. This means that by depositing ₹70,000, a trader can control a contract worth ₹13,12,500, offering significant leverage.
At AlgoTest, the Margin Calculator in the Strategy Builder helps traders understand their margin requirements and manage risk accordingly.
### Advantages of Trading Nifty Futures
1. **Diversification**: Since the Nifty 50 Index represents a basket of 50 leading companies across various sectors, trading Nifty Futures is less risky than trading individual stock futures.
2. **Liquidity**: Nifty Futures are highly liquid, meaning you can easily enter or exit trades without worrying about large price movements (slippage).
3. **Leverage**: Nifty Futures allow traders to control a large position with a relatively small margin, increasing potential profits (but also risks).
4. **Low Impact Cost**: Nifty Futures have a very low impact cost (the cost of executing large orders), making them ideal for large-volume traders.
### Application for AlgoTest Users
With AlgoTest’s tools like the Strategy Builder, users can create advanced trading strategies using Nifty Futures and simulate their performance in real market conditions using the Simulator. For instance, traders can hedge against market downturns by shorting Nifty Futures while holding long positions in individual stocks.
### Conclusion
Nifty Futures are one of the most popular futures contracts in India due to their liquidity, low margin requirements, and ability to provide exposure to the broader market. For AlgoTest traders, these contracts offer ample opportunities for hedging and speculation.
---
// File: financial-education/futures/09-futures-pricing
## Futures Pricing
Futures pricing is influenced by several factors, including the spot price of the underlying asset, interest rates, dividends, and the time remaining until contract expiry. For AlgoTest traders, understanding how futures contracts are priced can help in building accurate strategies using the Strategy Builder and testing them in the Simulator.
### The Futures Pricing Formula
The basic formula used to calculate the price of a futures contract is:
**Futures Price = Spot Price \* \[1 + (Rf \* (x / 365))] – d**
Where:
- **Rf** is the risk-free interest rate (often the RBI’s Treasury Bill rate).
- **x** is the number of days to expiry.
- **d** represents any dividends expected during the contract period.
This formula ensures that futures contracts are priced based on the current spot price, adjusted for the cost of carrying the position over time. The risk-free rate compensates the trader for holding the futures contract rather than the asset itself, while dividends lower the futures price since they are paid to the holder of the underlying asset.
### Practical Example
Suppose Infosys stock is trading at ₹2,300, and there are 30 days remaining until the futures contract expires. The risk-free rate is 6%, and no dividend is expected during this period. The futures price can be calculated as:
**Futures Price = ₹2,300 \* \[1 + (6% \* 30/365)]**
Solving this gives the futures price as approximately ₹2,304.5, which would be considered the fair value of the futures contract. In practice, however, the actual price may vary due to market dynamics such as demand and supply, transaction costs, or tax considerations.
### Basis and Spread
The difference between the spot price and the futures price is known as the basis or spread. A positive basis (futures price higher than spot) indicates the futures are trading at a premium, while a negative basis (futures price lower than spot) means they are at a discount. This is important for traders who look to profit from arbitrage opportunities by exploiting price discrepancies between the spot and futures markets.
### Real-World Application
AlgoTest users can utilize the Strategy Builder to create strategies that take advantage of futures pricing principles. For instance, if a stock’s futures are trading at a significant premium due to market imbalances, a trader might short the futures while going long on the underlying asset (a strategy known as cash-and-carry arbitrage).
### Conclusion
Futures pricing is a vital concept in trading, as it helps align the future price of an asset with its current value, adjusting for interest rates and time to expiry. Understanding this can provide AlgoTest traders with insights into building better strategies and identifying arbitrage opportunities.
---
// File: financial-education/futures/10-hedging-futures
## Hedging with Futures
Hedging is a strategy used to protect your trading positions from adverse market movements. It involves taking an opposite position in the futures market to offset potential losses in your portfolio. For AlgoTest users, this concept is critical for building balanced strategies in the Strategy Builder or testing how a hedged position would perform using the Simulator.
### What is Hedging?
Imagine you’ve built a portfolio of stocks that you believe will grow over time. However, you anticipate short-term market volatility that could temporarily reduce the value of your holdings. Rather than selling your stocks, you can use futures contracts to hedge against these potential losses.
### Example of Hedging
Let’s say you own 250 shares of Infosys at ₹2,284 per share, worth ₹571,000 in total. You expect Infosys’ quarterly results to be unfavorable, which may lead to a drop in the stock price. Instead of selling your shares, you enter a short position in Infosys futures. By shorting 250 Infosys futures at ₹2,285, you create a hedged position.
Now, regardless of whether Infosys rises or falls, the gains and losses from your long position in the stock and your short position in the futures contract will offset each other. If Infosys’ stock price drops to ₹2,200, you’ll incur a loss on the stock but gain from your short futures position.
### Systematic and Unsystematic Risk
Hedging protects against **systematic risk**, which is the risk associated with overall market movements (like economic downturns, interest rate hikes, etc.). However, it does not protect against **unsystematic risk**, which is company-specific (such as poor earnings reports or management scandals).
### How to Hedge with Futures on AlgoTest
In the Strategy Builder, you can create strategies that hedge your stock portfolio using Nifty Futures or individual stock futures. For example, if you have a diversified stock portfolio worth ₹8,00,000, you can calculate the beta (sensitivity to market movements) of your portfolio. If your portfolio beta is 1.2, you can hedge the portfolio by shorting Nifty futures to offset market risk.
### Calculating the Hedge Value
1. **Calculate the Portfolio Beta** by summing the weighted beta of each stock.
2. **Determine the Hedge Value** by multiplying the Portfolio Beta by the total portfolio value.
3. **Calculate the Required Futures Lots** using the Nifty Futures contract value.
**Example**:\
If your hedge value is ₹9,78,400, and one Nifty futures contract is worth ₹2,25,625, you’d need to short about 4.33 lots of Nifty futures to fully hedge your portfolio. Since fractional lots are not available, you can short either 4 or 5 lots, knowing that you’ll be slightly under or over-hedged.
### Conclusion
Hedging with futures provides a way to protect your portfolio from market downturns, making it a valuable tool for AlgoTest users looking to manage risk. By using the Simulator, you can test different hedging strategies and fine-tune your approach based on real historical data.
---
// File: financial-education/futures/11-open-interest
## Open Interest (OI)
Open Interest (OI) is a measure of how many futures or options contracts are currently outstanding in the market. It tells traders how many contracts remain “open” or unclosed. Unlike volume, which counts all trades executed during a day, OI shows the number of contracts still in play. OI increases when new contracts are created and decreases when contracts are settled or squared off.
For AlgoTest traders, understanding OI can offer insights into market liquidity and the strength of current trends when creating strategies using the Strategy Builder.
### How Open Interest Works
OI is counted when new contracts are created. For example, if Arjun buys 5 contracts and Neha sells 5 contracts, the OI will be 5 because these are new contracts entering the market. However, if John buys Neha’s 5 contracts, the OI doesn’t change since no new contracts are added—just a transfer of existing ones.
Here’s a breakdown of a simple scenario:
- **Monday**: Arjun buys 6 futures contracts, Varun buys 4, and Neha sells all 10. The OI is 10.
- **Tuesday**: Neha sells 8 contracts to John, but no new contracts are created. OI remains 10.
- **Wednesday**: Arjun and Varun increase their positions, and John adds 7 contracts, bringing the OI to 15.
### OI and Market Sentiment
1. **Increasing OI with rising prices**: This indicates new long positions, which is a bullish sign.
2. **Increasing OI with falling prices**: This suggests new short positions, signaling bearish sentiment.
3. **Decreasing OI with rising prices**: This often indicates short-covering, where traders are closing their short positions.
4. **Decreasing OI with falling prices**: Known as long unwinding, where long traders are closing positions, often marking the end of a bullish trend.
### Why OI Matters
High OI typically indicates a liquid market, meaning traders can enter and exit positions easily. This liquidity reduces the risk of slippage (the difference between expected and actual execution prices) and allows for tighter bid-ask spreads.
For AlgoTest users, OI can be used to gauge market sentiment and identify trends, particularly when developing futures or options strategies. For example, if you see a significant rise in OI accompanied by a price increase, it might suggest the beginning of a strong uptrend.
### Using OI on AlgoTest
In the Simulator, traders can backtest strategies that involve monitoring OI to confirm trends or predict potential reversals. For instance, a rising OI during a price decline might indicate bearish strength, allowing traders to short the market using futures contracts.
### Conclusion
Open Interest provides valuable insights into the strength of market trends and liquidity. By incorporating OI data into your AlgoTest strategies, you can make more informed trading decisions and better manage your market positions.
---
// File: financial-education/futures/12-physical-settlement
## Physical Settlement
Physical settlement refers to the process where, at the expiry of stock futures and options contracts, the underlying assets are either delivered or received. This change from cash settlement was introduced by SEBI in April 2018 and made mandatory by October 2019 for all stock F\&O contracts. The shift was intended to curb excessive speculation and prevent price manipulation.
### How Physical Settlement Works
In the past, futures contracts were cash-settled, meaning that, at expiration, the difference between the contract price and the spot price was settled in cash. However, with physical settlement, if you hold a long futures contract until expiry, you must take delivery of the underlying stock, while holding a short futures contract requires you to deliver the stock. Similarly, ITM (In-the-Money) options require delivery of stocks.
**Example**:\
Suppose you hold a long position in SBI futures, and you don’t close the position before expiry. With physical settlement, you would be required to pay the full contract value and receive the shares in your Demat account.
### Why Physical Settlement?
The primary reason SEBI enforced physical settlement was to avoid excessive short-selling that could manipulate prices. Under cash settlement, traders only needed to maintain margins and could drive prices down with aggressive short positions near expiration. Now, with physical settlement, short sellers must have access to the underlying stock to deliver, either by buying in the spot market or borrowing from the Securities Lending and Borrowing (SLB) market. This balances the market by limiting manipulation.
### Settlement Scenarios
- **Long Futures**: You are obligated to take delivery of the stock.
- **Short Futures**: You must deliver the stock.
- **Long ITM Call / Short ITM Put**: You take delivery of the stock.
- **Short ITM Call / Long ITM Put**: You deliver the stock.
Options that expire **OTM (Out of the Money)** do not result in delivery obligations and expire worthless.
### Netted Off Positions
If you hold offsetting positions (like a long futures contract and a long ITM put option), the delivery obligation is netted off, meaning no actual delivery takes place. This reduces complexity and makes it easier for traders to manage their positions.
### Margins for Physical Settlement
As contracts near expiry, brokers often increase margins to ensure that traders can meet their delivery obligations. This means that if you plan to hold your positions to expiry, you’ll need to have the full contract value in your account for delivery or have the required stocks to deliver.
### Conclusion
Physical settlement adds a layer of complexity to futures and options trading, but it also brings balance and reduces manipulation in the market. AlgoTest traders must be aware of these rules, especially when building strategies in the Strategy Builder and running tests in the Simulator.
---
// File: financial-education/options/index
# 🧭 Options Trading Navigation
Navigate through our **Options Education** resources to master the art of trading options. Each section covers essential topics to help you build a solid foundation and advance your knowledge.
***
📘 **Options Basics**
- [Options Trading Basics](https://docs.algotest.in/financial-education/options/options-trading-basics/)
- [Options Trading Terms](https://docs.algotest.in/financial-education/options/options-trading-terms/)
- [Mastering Call & Put](https://docs.algotest.in/financial-education/options/mastering-call-put/)
- [Summarising Call and Put Options](https://docs.algotest.in/financial-education/options/summarising-call-and-put-option/)
- [Understanding Moneyness](https://docs.algotest.in/financial-education/options/moneyness/)
***
📈 **Buying and Selling Options**
- [Buying Call Options](https://docs.algotest.in/financial-education/options/buying-call-options/)
- [Buying Put Options](https://docs.algotest.in/financial-education/options/buying-put-option/)
- [Selling a Put Option](https://docs.algotest.in/financial-education/options/selling-a-put-option/)
- [Selling/Writing Call Options](https://docs.algotest.in/financial-education/options/selling-writing-call-option/)
***
⚙️ **Options Greeks**
- [Understanding Delta](https://docs.algotest.in/financial-education/options/delta/)
- [Understanding Gamma](https://docs.algotest.in/financial-education/options/gamma/)
- [Theta](https://docs.algotest.in/financial-education/options/theta/)
- [Vega](https://docs.algotest.in/financial-education/options/vega/)
- [Greek Interactions](https://docs.algotest.in/financial-education/options/greek-interactions/)
- [Options Greek Calculator](https://docs.algotest.in/financial-education/options/greek-calculator/)
***
📊 **Volatility and Its Applications**
- [Understanding Volatility](https://docs.algotest.in/financial-education/options/understanding-volatility/)
- [Volatility and Normal Distribution](https://docs.algotest.in/financial-education/options/volatility-normal-distribution/)
- [Volatility Applications](https://docs.algotest.in/financial-education/options/volatility-applications/)
***
📚 **Explore All Options Topics**
- [Options Education Overview](https://docs.algotest.in/financial-education/options/)
- [Options Strategies](https://docs.algotest.in/financial-education/options-strategies/)
***
**Start exploring now and level up your options trading skills! 🚀**
# Summary: Understanding Options for AlgoTest Strategies
**Options Overview**:\
Options are versatile financial instruments that allow traders to profit from market movements with defined risk.
- **Call Options**: Provide the right to buy an asset at a set price. Profitable when the asset price rises above the strike price.
- **Put Options**: Provide the right to sell an asset at a set price. Profitable when the asset price drops below the strike price.
## Payoff Diagrams
- **Call Option Payoff**: Gains increase as the price rises above the strike price plus the premium. Loss is limited to the premium paid.
- **Put Option Payoff**: Gains increase as the price drops below the strike price minus the premium. Loss is capped at the premium paid.
### Key Insights:
- **Option Buyers**: Have limited risk (premium) but unlimited profit potential.
- **Option Sellers**: Earn limited profit (premium) but face significant risk if the market moves against their position.
## Strategic Applications
1. **Speculation**:
- Use calls for expected price increases or puts for declines.
- Provides high reward potential with lower capital investment.
2. **Hedging**:
- Use options as insurance to protect against adverse market movements.
- Example: A put option shields a long stock position from downside risk.
3. **Income Generation**:
- Selling options earns premiums but involves the risk of large losses.
## Example Trade
- Buy a call for ₹10 with a strike price of ₹100.
- If the price rises to ₹120, profit = ₹10 (₹120 - ₹100 - ₹10 premium).
- If the price stays below ₹100, the maximum loss is ₹10.
## The Role of the Greek Calculator
The **Greek Calculator** simplifies complex options analysis by providing key metrics to assess price sensitivity and manage risk:
- **Delta**: Sensitivity to price changes in the underlying asset.
- **Gamma**: Rate of change of Delta, crucial for short-term trading.
- **Theta**: Measures time decay, highlighting the impact of time on options value.
- **Vega**: Sensitivity to volatility changes, important in dynamic markets.
- **Rho**: Sensitivity to interest rate changes, relevant for long-term options.
## Risk Management on AlgoTest
AlgoTest’s tools help traders:
- Analyze and adjust positions based on Greek values.
- Backtest strategies to align with risk tolerance and market conditions.
- Manage challenges like time decay (Theta) and volatility sensitivity (Vega).
## Conclusion
Options trading is a powerful way to profit from market movements while managing risk. With a clear understanding of call and put options, payoff structures, and the Greeks, traders can optimize their strategies on AlgoTest. Leveraging tools like the Greek Calculator ensures informed, data-driven decisions in a dynamic market environment.
---
// File: financial-education/options/01-call-options-basics
## Call Option Basics
A call option is a financial contract that gives the buyer the right, but not the obligation, to buy an asset at a predetermined price (called the strike price) before the option expires. For AlgoTest users, call options are useful tools for speculating on price increases or hedging against potential losses.
### Real-Life Example of a Call Option
Imagine you’re interested in buying a plot of land worth ₹5,00,000 today, but you’re unsure if it will increase in value. You pay the owner ₹1,00,000 upfront, giving you the right to purchase the land in six months for ₹5,00,000. If the land price rises to ₹10,00,000, you exercise your right and buy it at ₹5,00,000, making a substantial profit. If the price drops or stays the same, you simply walk away, losing only the ₹1,00,000 you paid for the option.
This setup mirrors how call options work in the stock market, where the buyer has the right to purchase shares at a fixed price before the contract expires.
### Example in Stock Market
Suppose a stock is trading at ₹70. You pay ₹5 as a premium for a call option with a strike price of ₹75, expiring in one month. There are three possible scenarios at expiry:
1. **Stock rises to ₹85**: You exercise the option, buy the stock at ₹75, and profit ₹5 per share after accounting for the premium.
2. **Stock falls to ₹65**: You don’t exercise the option and lose only the ₹5 premium.
3. **Stock remains at ₹75**: You break even on the option, losing just the premium.
### Benefits of Call Options
1. **Leverage**: Call options allow you to control a large amount of stock with relatively low capital. This amplifies potential profits while limiting the downside to the premium paid.
2. **Limited Risk**: Unlike buying stocks outright, where losses can be substantial, the maximum loss in a call option is the premium paid upfront.
3. **Profit from Upward Movements**: Call options are ideal when you anticipate that a stock’s price will rise but want to limit your downside risk.
### Payoff Structure
The payoff for a call option is directly related to the stock price at expiry. If the stock price exceeds the strike price, the buyer profits, while if it stays below, the buyer only loses the premium. Here’s a basic visualization:
| Stock Price | Action | Profit/Loss |
| ----------- | --------------------- | ------------- |
| ₹85 | Exercise option | +₹5/share |
| ₹75 | No action, break even | -₹5 (premium) |
| ₹65 | No action | -₹5 (premium) |
### Conclusion
Call options provide flexibility for traders looking to capitalise on price increases while limiting risk. AlgoTest users can create and test various call option strategies using the **Strategy Builder** and **Simulator**, ensuring they make informed
---
// File: financial-education/options/02-options-jargons
## Basic Option Terms
Understanding basic option jargons is essential for anyone entering the world of options trading. Here are key terms every AlgoTest user should know when building strategies or simulating trades.
### 1. Strike Price
The strike price is the predetermined price at which the buyer can exercise the right to buy (in the case of a call) or sell (in the case of a put) the underlying asset.\
**Example**: If you buy an Infosys call option with a strike price of ₹2,500, you can purchase the stock at ₹2,500 upon expiry if the market price is higher.
### 2. Underlying Price
This is the current price of the asset in the spot market.\
**Example**: If Infosys is trading at ₹2,400, that’s the underlying price. The relationship between the underlying price and strike price determines the value of an option.
### 3. Exercising an Option
This refers to the action of using your right to buy or sell the asset at the strike price before the expiry date. For a call option, you’d exercise it when the underlying price exceeds the strike price.\
In Indian markets, exercising usually happens at expiry.
### 4. Expiry
Options contracts have a fixed expiration date, usually on the last Thursday of the month in India. After this date, the contract is settled, and any value is realized.\
You can choose between current, mid-month, or far-month expiry contracts, depending on your trading horizon.
### 5. Premium
The premium is the price you pay for the option. It is determined by various factors, including the time left to expiry, volatility, and the difference between the underlying and strike price.\
**Example**: If you buy an Infosys call option with a premium of ₹100, this is the cost of having the right to buy Infosys at the strike price.
### 6. Settlement
In India, options are cash-settled. If you exercise a call option, instead of physically receiving the shares, you get the cash equivalent of the difference between the strike price and the underlying price at expiry.\
**Example**:\
Suppose you buy a TCS call option with a strike price of ₹3,000 at a premium of ₹100. On the expiry day, TCS is trading at ₹3,100. You exercise the option, earning ₹100 per share (₹3,100 – ₹3,000), minus the premium paid.
- **Net profit**: ₹0 (₹100 – ₹100).\
If TCS had traded at ₹3,200, your profit would be ₹100 per share.
### Conclusion
These jargons form the backbone of options trading. AlgoTest users can leverage the **Strategy Builder** and **Simulator** to experiment with these concepts, improving their understanding of market dynamics before engaging in live trades.
---
// File: financial-education/options/03-buying-call-option
## Buying a Call Option
Buying a call option gives traders the right to purchase an asset at a specific strike price before the option expires. It is an effective strategy when you expect the asset’s price to rise but want to limit your risk to the premium paid for the option.
### When to Buy a Call Option
You should consider buying a call option when:
1. You expect the underlying asset’s price to increase significantly.
2. You want to limit your downside risk (maximum loss is the premium paid).
3. You prefer to control a larger position without the need to invest the full capital required to buy the underlying asset.
### Example
Suppose Bajaj Auto is trading at ₹2,026, and you believe its price will rise over the next 15 days. Instead of purchasing the stock outright, you buy a 2050 call option by paying a premium of ₹6.35. There are three potential outcomes at expiry:
- **Scenario 1:** If Bajaj Auto rises above ₹2,050 (e.g., ₹2,080), you can exercise the option and make a profit.
- **Scenario 2:** If Bajaj Auto stays at or below ₹2,050, you can let the option expire, and your loss is limited to the premium paid.
### Intrinsic Value and Break-even Point
The intrinsic value of a call option is the difference between the spot price and the strike price, but it is always a non-negative value.\
**Example:** If Bajaj Auto is trading at ₹2,068 at expiry, the intrinsic value of the 2050 call option is ₹18.
However, the break-even point accounts for the premium paid. In this case:\
**Break-even Point** = ₹2,056.35 (strike price + premium).
You will only start making a profit once the stock price exceeds the break-even point.
### Payoff Structure
The payoff for a call option is unlimited on the upside, while the maximum loss is limited to the premium.
Here’s an example of the payoff for the 2050 Bajaj Auto call option:
| **Price Movement** | **Intrinsic Value** | **Profit/Loss** |
| ------------------ | ------------------- | ---------------------- |
| ₹2,030 | 0 | -₹6.35 (premium loss) |
| ₹2,060 | ₹10 | ₹3.65 (after premium) |
| ₹2,080 | ₹30 | ₹23.65 (after premium) |
### Conclusion
Buying a call option is a powerful tool for traders who anticipate upward price movement but wish to limit risk. AlgoTest users can apply this strategy using the **Strategy Builder** to test different call option setups and evaluate outcomes with the **Simulator** based on real historical data.
---
// File: financial-education/options/04-selling-writing-call-option
## Selling/Writing a Call Option
When you sell (or write) a call option, you agree to sell an asset at a predetermined strike price if the buyer exercises the option. In exchange, you receive a premium upfront. Unlike a call option buyer, the seller has unlimited risk but limited profit, as they only keep the premium.
### Example
Let’s say you write a Bajaj Auto 2050 call option and receive a premium of ₹6.35. If Bajaj Auto’s stock price remains below ₹2,050 at expiry, you keep the premium as your profit. However, if the stock price rises above ₹2,050, your potential losses are unlimited.
Here’s a simple example to illustrate the seller’s P\&L:
| **Price Movement** | **Premium Received** | **Loss/Profit** |
| ------------------ | -------------------- | --------------- |
| ₹2,030 | ₹6.35 | +₹6.35 (Profit) |
| ₹2,060 | ₹6.35 | -₹3.65 (Loss) |
| ₹2,080 | ₹6.35 | -₹23.65 (Loss) |
### Risk and Reward
- **Profit**: The maximum profit for a call option seller is the premium received. As long as the stock remains at or below the strike price, the seller profits.
- **Loss**: If the stock price exceeds the strike price, the seller incurs a loss. The higher the price moves above the strike, the greater the loss.
### Margin Requirements
Since the risk for the seller is theoretically unlimited, margins are required. The margin acts as a buffer to ensure the seller can meet potential losses. AlgoTest users can calculate the required margin using the **Margin Calculator** in the Strategy Builder.
### Conclusion
Selling a call option is ideal for traders who expect the stock price to remain flat or decrease. However, due to the unlimited risk, it’s crucial to use hedging strategies or tools like AlgoTest’s **Simulator** to evaluate potential outcomes.
---
// File: financial-education/options/05-buying-a-put-option
## Buying a Put Option
Buying a put option gives traders the right, but not the obligation, to sell an underlying asset at a predetermined strike price before the option expires. A put option is typically used when you expect the price of the underlying asset to decline.
### Example
Let’s say Reliance Industries is trading at ₹850. You buy a put option with a strike price of ₹850 by paying a premium of ₹20. There are two potential outcomes at expiry:
- **Price Falls**: If the price drops to ₹820, you exercise your option, selling Reliance at ₹850 while it’s trading lower, profiting from the difference (₹30 - ₹20 = ₹10 net profit).
- **Price Rises**: If the price stays at or above ₹850, you don’t exercise the option, and your loss is limited to the premium paid.
### Why Buy a Put Option?
1. **Bearish Market Outlook**: Put options are best suited when you expect a decline in stock prices.
2. **Limited Risk**: The maximum loss you incur is the premium paid, but the profit potential is substantial if the stock drops significantly.
3. **Leverage**: Similar to call options, buying a put option lets you control a larger position with a small premium.
### Intrinsic Value and Breakeven
The intrinsic value of a put option is the difference between the strike price and the spot price (but only if the spot price is lower than the strike).\
**Example**: If Reliance is trading at ₹820 at expiry, the intrinsic value is ₹30 (₹850 - ₹820).
To calculate your breakeven point, subtract the premium from the strike price. In this case:\
**Breakeven Point** = ₹830 (₹850 - ₹20).
You’ll only start making a profit once the price falls below ₹830.
### Payoff Structure
Here’s an example of the payoff structure for the Reliance put option:
| **Price Movement** | **Intrinsic Value** | **Profit/Loss** |
| ------------------ | ------------------- | ------------------- |
| ₹820 | ₹30 | +₹10/share |
| ₹830 | ₹20 | 0 (breakeven) |
| ₹850 | ₹0 | -₹20 (premium loss) |
### Conclusion
Buying a put option is a strategic way to profit from falling markets with limited risk. AlgoTest users can leverage the **Strategy Builder** and **Simulator** to develop and test put option strategies before executing them in live markets.
---
// File: financial-education/options/06-selling-a-put-option
## Selling a Put Option
Selling (or writing) a put option gives the seller the obligation to buy an asset at the predetermined strike price if the buyer exercises the option. In exchange, the seller receives a premium. This strategy is best used when the seller expects the underlying asset to remain flat or rise.
### Example
Imagine Bank Nifty is trading at 18,400, and you sell a put option with a strike price of 18,400 for a premium of ₹315. If Bank Nifty stays above 18,400, the seller keeps the premium. However, if Bank Nifty falls, the seller is obligated to buy the asset at the strike price, potentially incurring losses.
Here’s a breakdown of possible scenarios:
| **Price Movement** | **Premium Received** | **Profit/Loss** |
| ------------------ | -------------------- | ---------------- |
| ₹18,400 | ₹315 | Break-even |
| ₹18,085 | ₹315 | Zero profit/loss |
| Below ₹18,085 | ₹315 | Loss begins |
### Risks and Rewards
- **Maximum Profit**: The profit is limited to the premium received, regardless of how high the underlying asset rises.
- **Unlimited Loss**: If the asset’s price falls significantly below the strike price, the seller could face substantial losses, as they are obligated to buy the asset at the strike price, even if its value plummets.
### Application for AlgoTest Users
In the **Strategy Builder**, AlgoTest users can create short put option strategies and test them using the **Simulator** to evaluate risk exposure before live trading. For instance, if the trader is confident that a stock or index will not fall below a certain level, writing a put option can be a way to generate premium income.
---
// File: financial-education/options/07-summarising-call-and-put-options
## Summarising Call & Put Options
Call and put options form the foundation of options trading. There are four key variants:
1. **Buying a Call Option**: You profit when the market moves above the strike price. Risk is limited to the premium paid, and profit potential is unlimited.
2. **Selling a Call Option**: You collect the premium, but risk unlimited losses if the market rises.
3. **Buying a Put Option**: Profits are realised when the market moves below the strike price. Losses are limited to the premium paid.
4. **Selling a Put Option**: You collect the premium but risk unlimited losses if the market drops below the strike price.
### Payoff Diagrams
- **Buying a Call/Put Option**: Offers unlimited profit potential with limited downside risk.
- **Selling a Call/Put Option**: Limited profit (premium collected) with unlimited loss potential.
### Market Conditions and Strategies
When trading options, you’ll encounter different market conditions:
- **Bullish Market**: Buying a call or selling a put is suitable.
- **Bearish Market**: Selling a call or buying a put is ideal.
Traders often combine these four variants to create complex strategies that manage risk and optimise potential returns.
### Key Takeaways
1. **Call Buyers**: Expect the market to rise and benefit from an upward price movement. Risk is limited to the premium, and potential profit is unlimited.
2. **Put Buyers**: Profit from a declining market. Risk is limited to the premium paid, with significant profit potential if the market falls sharply.
3. **Call Sellers**: Expect the market to remain flat or fall. Profit is capped at the premium received, while the risk is theoretically unlimited.
4. **Put Sellers**: Profit when the market remains flat or rises. Risk is substantial if the market drops significantly, while profits are limited to the premium.
### Understanding Premiums
Option premiums fluctuate based on several factors, including the underlying asset’s price, time to expiry, and market volatility. Premiums are influenced by a set of variables called **Option Greeks**, which affect the price in real-time.
AlgoTest traders can use the **Strategy Builder** to construct various option strategies and the **Simulator** to test them using historical data.
---
// File: financial-education/options/08-moneyness
## Moneyness of an Option Contract
Moneyness refers to the classification of an option based on its intrinsic value, which determines how much a trader would make if they exercised the option today. Options are classified as **In the Money (ITM)**, **At the Money (ATM)**, or **Out of the Money (OTM)**.
### Intrinsic Value and Moneyness
1. **Intrinsic Value**: The value an option has if exercised today.
- **Call Option**: Intrinsic Value = Spot Price - Strike Price
- **Put Option**: Intrinsic Value = Strike Price - Spot Price
Options with positive intrinsic values are **ITM**, and those without intrinsic value are **OTM**. **ATM** options are closest to the spot price.
### ITM, ATM, OTM Explained
1. **In the Money (ITM)**: An option that would make money if exercised today.
- **Call Option**: Strike price is below the spot price.
- **Put Option**: Strike price is above the spot price.
2. **At the Money (ATM)**: The strike price is closest to the spot price.
3. **Out of the Money (OTM)**: An option that has no intrinsic value and wouldn’t make money if exercised today.
- **Call Option**: Strike price is above the spot price.
- **Put Option**: Strike price is below the spot price.
### Example of Moneyness for Call Options
- **Spot Price**: ₹8,060
- **Strike Prices**: ₹7,100, ₹7,500, ₹8,050, ₹8,100, ₹8,300
**Calculating Moneyness**:
- **₹7,100 Strike**: ITM (Intrinsic Value = ₹960)
- **₹8,050 Strike**: ATM (Closest to the spot price)
- **₹8,300 Strike**: OTM (Intrinsic Value = 0)
### Moneyness for Put Options
For put options, **ITM** strikes are higher than the spot price, and **OTM** strikes are lower.\
**Example**: If the spot price is ₹8,202:
- A ₹8,500 strike put option is **ITM**.
- A ₹7,500 strike put option is **OTM**.
### The Option Chain
An **option chain** lists all strike prices and their corresponding premiums for call and put options. It provides insights into the moneyness of options, helping traders identify ITM, ATM, and OTM options for better decision-making.
### Conclusion
Understanding moneyness is crucial in options trading, as it influences the premium, risk, and potential payoff of options. AlgoTest users can leverage this knowledge when creating and backtesting strategies using the **Strategy Builder** and **Simulator**.
---
// File: financial-education/options/09-delta
## Understanding Delta: The Option Greek
Delta is a fundamental option Greek that measures the sensitivity of an option’s premium to changes in the price of the underlying asset. It indicates how much the option’s price will change for every 1-point movement in the underlying asset. Delta values range from **0 to 1** for call options and **0 to -1** for put options.
### Key Characteristics of Delta
1. **Delta and Moneyness**:
- **Out of the Money (OTM)**: Delta is closer to 0.
- **At the Money (ATM)**: Delta is approximately 0.5.
- **In the Money (ITM)**: Delta approaches 1 for calls and -1 for puts.
Example:
- If Nifty is trading at ₹8,400 and an 8,500 call option is OTM, its delta might be 0.4.
- As Nifty rises to ₹8,500 (ATM), delta increases to 0.5.
- At ₹8,600 (ITM), delta approaches 1.
2. **Dynamic Nature**: Delta changes based on the option’s moneyness. As options move from OTM to ITM, delta increases rapidly, reflecting greater sensitivity to price changes.
3. **Delta as a Probability Indicator**: Delta can estimate the probability of an option expiring In the Money (ITM). For instance, a delta of 0.6 implies a 60% chance of a call option expiring ITM.
### Delta in Action
- **Example**: Let’s assume a Nifty call option has:
- **Delta**: 0.55
- **Premium**: ₹133
- **Nifty Movement**: +22 points
**Premium Calculation**:\
The change in premium is calculated as:\
( 22 \times 0.55 = ₹12.1 )
**New Premium**:\
Original Premium + Change in Premium = ₹133 + ₹12.1 = **₹145.1**
Thus, if Nifty rises by 22 points, the option’s premium increases to ₹145.1.
### Portfolio Delta
When managing multiple positions, the deltas of individual options are aggregated to determine the overall sensitivity of the portfolio to changes in the underlying asset’s price.
**Example**:
- **Position 1**: Long 1 call option with a delta of **0.5**.
- **Position 2**: Long 1 put option with a delta of **-0.3**.
**Portfolio Delta Calculation**:\
\[ 0.5 + (-0.3) = +0.2 ]
**Interpretation**:\
A portfolio delta of **+0.2** means the portfolio will gain **₹0.20** for every ₹1 increase in the underlying asset’s price.
### Delta and Hedging
Delta plays a critical role in managing risk through strategies like delta hedging. A **delta-neutral portfolio** (combined delta close to 0) minimizes sensitivity to small market movements, offering protection against price fluctuations.
**Example of Delta Hedging:**
- If a portfolio has a delta of +0.6, selling call options or buying put options with a delta of -0.6 neutralizes the exposure.
### Importance of Delta
1. **Selecting Strike Prices**: Delta helps traders choose the most effective strike prices for their strategies.
2. **Predicting Premium Changes**: By understanding delta, traders can estimate how market movements affect option premiums.
3. **Portfolio Management**: Adjusting delta ensures alignment with market conditions and trading objectives.
### Conclusion
Delta is a dynamic and versatile tool that helps traders assess risk, predict option behavior, and manage their portfolios effectively. With tools like AlgoTest’s **Strategy Builder** and **Simulator**, traders can design and test delta-based strategies using real historical data, improving decision-making and market performance.
---
// File: financial-education/options/10-gamma
## Understanding Gamma: The Rate of Change in Delta
Gamma is a vital option Greek that measures the rate of change in an option’s Delta in response to movements in the underlying asset’s price. While Delta reflects how much an option’s premium moves with changes in the underlying price, Gamma quantifies how quickly Delta itself changes. If Delta is the speed, Gamma is the acceleration. Understanding Gamma allows traders to predict and adjust for price movements more effectively.
### Key Characteristics of Gamma
- **Gamma and Delta Interaction**: Gamma indicates how much Delta will shift as the underlying asset’s price changes. This helps traders maintain control over their positions and anticipate changes in exposure.
- **Peak Gamma**: Gamma is highest for At the Money (ATM) options and decreases as options move In the Money (ITM) or Out of the Money (OTM). ATM options are more sensitive to price movements, requiring closer monitoring and frequent adjustments.
### Example: How Gamma Impacts Delta
Let’s say Nifty is trading at ₹8,400, and you hold an ATM call option with:
- **Strike Price**: ₹8,400
- **Delta**: 0.5
- **Gamma**: 0.003
If Nifty moves by 50 points, the change in Delta is calculated as:
**Change in Delta** = Gamma × Change in Spot Price\
\= 0.003 × 50\
\= 0.15
The new Delta becomes:
**New Delta** = Old Delta + Change in Delta\
\= 0.5 + 0.15\
\= 0.65
This example demonstrates how Gamma increases Delta, making the option more sensitive to further price movements.
### Gamma’s Role in Risk Management
Gamma plays a crucial role in managing risk, especially for traders using Delta-neutral strategies. Since Gamma impacts Delta, positions must be adjusted frequently to maintain neutrality, particularly in volatile markets or when trading ATM options. High Gamma means Delta changes rapidly, increasing the sensitivity of a portfolio to price movements.
#### Key Points for Risk Management:
1. **ATM Options**: These have the highest Gamma, making them more prone to rapid Delta changes.
2. **Short Option Strategies**: Traders should monitor Gamma risk, as adverse market movements can lead to significant Delta shifts and potential losses.
3. **Volatile Markets**: High Gamma values in volatile conditions require frequent rebalancing to mitigate risk.
### Practical Application for AlgoTest Users
AlgoTest’s **Strategy Builder** and **Simulator** provide tools to incorporate Gamma into strategy development. By simulating scenarios, traders can assess how Gamma affects their positions and refine their approach to managing risk effectively.
### Conclusion
Gamma is a critical Greek for understanding and managing the sensitivity of Delta to market changes. It is especially important when trading ATM options or navigating volatile markets. By integrating Gamma into their strategies, traders can better predict exposure, adjust positions, and make informed decisions to minimize risk and maximize returns.
---
// File: financial-education/options/11-theta
## Theta – Understanding Time Decay
Theta is a crucial option Greek that measures the rate at which an option’s value declines as time progresses, also known as **time decay**. In simple terms, Theta represents how much the option’s premium will reduce each day, assuming all other factors remain constant. This time decay occurs because, as options near expiration, the likelihood of them becoming profitable decreases.
### Understanding Theta
- **For Option Buyers**: Theta is expressed as a negative number because time works against buyers.\
Example: If a call option has a Theta of **-0.05**, the option will lose ₹0.05 in value each day due to time decay. The closer the option is to expiration, the faster the rate of decay.
- **For Option Sellers**: Theta benefits sellers. Since sellers receive the premium upfront, they gain as the value of the option decreases with time.
### Example
Let’s say Nifty **8500 CE** is trading at a premium of ₹100, and the Theta is **-0.10**. This means, all else being equal, the option’s premium will reduce by ₹0.10 each day.
After one day, the new premium would be ₹99.90, and after two days, it would be ₹99.80, provided the spot price, volatility, and other factors remain unchanged.
**Representation of Theta’s Effect**:
| **Days to Expiry** | **Premium Value** | **Daily Decay (Theta)** |
| ------------------ | ----------------- | ----------------------- |
| 5 Days | ₹100.00 | -₹0.10/day |
| 4 Days | ₹99.90 | -₹0.10/day |
| 3 Days | ₹99.80 | -₹0.10/day |
### The Role of Time in Options Pricing
Options are **depreciating assets**, meaning their value erodes as the expiration date approaches. This decay is **non-linear**, accelerating as the expiration date nears.
- **Early Stage**: Theta’s effect is relatively small.
- **Closer to Expiry**: Time decay accelerates rapidly, especially for **At the Money (ATM)** options.
### Impact of Theta on Option Strategies
- **Option Buyers**:
- Theta is a challenge because the option loses value with each passing day.
- Buyers typically prefer shorter time frames to minimize the impact of time decay.
- **Option Sellers**:
- Theta is advantageous, as sellers benefit from the erosion of time value.
- Sellers often sell options closer to expiration to maximize gains from rapid time decay.
### Conclusion
Theta is a vital concept for managing time decay in options trading. While it erodes premiums for buyers, it favors sellers who gain as the expiration date approaches. **AlgoTest users** can simulate and test strategies to account for Theta’s effects using the **Strategy Builder** and **Simulator**.
---
// File: financial-education/options/12-understanding-volatility
## Understanding Volatility
Volatility measures the degree of variation in an asset's price over time, representing the uncertainty or risk of price changes. High volatility indicates larger price swings, while low volatility reflects steadier price movements. Traders use volatility to assess risk and identify potential rewards in trading.
### The "Moneyball" Analogy
Imagine two players: Billy and Mike.
- Billy scores consistently between 19 and 23 runs in each game, while Mike’s scores fluctuate between 10 and 33 runs.
- Despite similar averages, Billy’s lower volatility makes him a safer choice.
This principle applies to stock markets—low-volatility assets are less risky compared to highly volatile ones.
### Measuring Volatility: Standard Deviation
Volatility is quantified using **standard deviation**, which measures how much an asset’s price deviates from its average.
- **Example**: If Nifty has a volatility of 16.5%, the index is expected to trade within ±16.5% of its current value over a given period.\
Volatility is typically represented as a percentage, showing the expected price range for the asset.
### Historical Volatility
**Historical Volatility** analyzes past price movements to gauge risk. Here's how it’s calculated:
1. **Daily Returns**: Logarithmic returns account for compounding.
2. **Average Return**: Calculate the mean daily return over a period.
3. **Standard Deviation**: Measure the dispersion of returns to find daily volatility.
4. **Annualizing Volatility**: Multiply the daily standard deviation by the square root of 252 (trading days in a year).
**Example**:
- If the daily standard deviation is 1.47%, the annualized volatility is:\
\[ 1.47% \times \sqrt{252} \approx 23.33% ]\
This means the stock is expected to fluctuate by approximately 23.33% annually.
Historical volatility is vital for options trading, impacting option pricing models like Black-Scholes. However, it doesn’t predict future price movements and is often combined with implied volatility for better analysis.
### Normal Distribution and Volatility
In trading, price movements often follow a **normal distribution**, represented by a bell curve:
- **68%** of price changes fall within ±1 standard deviation (σ) of the mean.
- **95%** fall within ±2σ.
- **99.7%** fall within ±3σ.
**Example**:\
If a stock is trading at ₹100 with an annual volatility of 20%, traders expect the price to stay within ₹80–₹120 for 68% of the time, assuming a normal distribution. This helps estimate potential risk and reward.
### Volatility in Options Pricing
Volatility is integral to options pricing:
- **Low Volatility**: Leads to lower premiums, as price movements are expected to be small.
- **High Volatility**: Results in higher premiums, as larger price swings increase the likelihood of options expiring in the money.
The **Black-Scholes Model** relies on normal distribution and standard deviation (volatility) to calculate option prices accurately.
### Conclusion
Volatility is central to understanding market risk and pricing options. Whether through historical analysis or normal distribution, volatility helps traders predict price ranges, manage risk, and refine their strategies. Using tools like **AlgoTest’s Strategy Builder** and **Simulator**, traders can incorporate volatility into their trading decisions to enhance performance.
---
// File: financial-education/options/13-historical-volatility
## Volatility and Normal Distribution in Trading
Volatility and normal distribution are foundational concepts in financial markets, particularly in options trading. Asset price movements often follow a statistical pattern resembling a normal distribution curve. This bell-shaped and symmetrical curve shows most price movements clustering around the mean (average price), while extreme price movements are less frequent.
### Understanding Normal Distribution
In statistics, a normal distribution is a probability distribution where data points are symmetrically distributed around the mean. The majority of values fall within specific standard deviations (σ) from the mean. In financial terms, this distribution helps traders estimate how much an asset's price is likely to fluctuate in a given period.
**Key Characteristics of Normal Distribution**:
- **68%** of values fall within ±1σ of the mean.
- **95%** of values fall within ±2σ.
- **99.7%** of values fall within ±3σ.
This implies that extreme price movements are rare, while smaller, more frequent price changes are the norm.
### Volatility and Its Relation to Normal Distribution
Volatility measures an asset’s price fluctuation over time and is represented as the standard deviation in a normally distributed dataset.
- **Higher Volatility**: Indicates larger price movements.
- **Lower Volatility**: Suggests smaller, steadier price fluctuations.
This relationship helps traders predict the range within which an asset’s price will move.
**Example**:\
If a stock is trading at ₹100 with an annual volatility of 20%, traders expect the price to stay within ₹80 to ₹120 (±20%) for about **68% of the time**, assuming a normal distribution. This helps traders estimate the potential risk and reward of holding or trading the asset.
### Volatility in Options Pricing
Normal distribution plays a critical role in pricing options. The **Black-Scholes Model**, a widely used options pricing model, assumes that stock prices follow a normal distribution of returns.
**Impact of Volatility on Option Pricing**:
- **Low Volatility**: Results in lower option premiums due to the reduced likelihood of significant price movements.
- **High Volatility**: Leads to higher option premiums, as larger price swings increase the chance of options expiring in the money.
### The Significance of Fat Tails
While normal distribution provides a framework for predicting price movements, financial markets often experience events that deviate from this model. These rare, extreme events are known as **fat tails**.
In a perfect normal distribution, the probability of price movements beyond ±3σ is extremely low. However, real markets frequently encounter extreme events, such as crashes or surges, more often than the model predicts. Traders must account for these fat-tail events when assessing market risk.
### Applications for Traders
Understanding the relationship between volatility and normal distribution helps traders in various ways:
- **Risk Assessment**: Predicting the likelihood of price movements within a range to gauge potential risks.
- **Options Pricing**: Using volatility to estimate how far an asset’s price might move, affecting option premiums.
- **Portfolio Management**: Evaluating an asset’s price stability to balance risk and reward.
However, traders should remember that markets do not always follow perfect statistical models. Outliers, or fat-tail events, occur more frequently than expected, making it essential to remain cautious about unexpected market swings.
### Conclusion
Volatility and normal distribution are vital tools for traders, especially in options trading. These concepts allow traders to predict price movements, price options accurately, and manage risk effectively. However, the market’s tendency to produce fat-tail events means that traders must always be prepared for extreme outcomes beyond normal distribution predictions.
---
// File: financial-education/options/14-volatility-applications
## Volatility Applications in Trading
Volatility is a critical factor in trading, especially in options markets, as it directly influences options pricing, risk management, and strategy formation. This chapter explores key ways traders can apply volatility to improve their trading decisions, including strategies that capitalize on market swings and those designed for more stable environments.
### 1. Implied Volatility (IV) and Its Importance
Implied volatility is a forward-looking measure that reflects the market’s expectations of future price fluctuations. Unlike historical volatility, which is based on past price movements, IV provides insights into the market’s sentiment about upcoming price changes.
- **High IV**: Indicates greater market uncertainty and higher options premiums.
- **Low IV**: Suggests a stable market with lower premiums.
**Example**:\
If a stock has an implied volatility of 25%, it suggests that the market expects the stock price to move by 25% (up or down) over the next year. Traders use this information to assess whether options are overpriced or underpriced, helping them make better trading decisions.
### 2. Volatility Trading Strategies
Some strategies aim to exploit volatility rather than predict price direction.
- **Straddle**:\
Buy a call and a put option with the same strike price and expiration date. Used when significant price movement is expected but the direction is uncertain. Profits arise if the asset price swings significantly either way.
- **Strangle**:\
Similar to the straddle but involves buying a call and a put with different (usually out-of-the-money) strike prices. Cheaper than a straddle but requires a larger price move to become profitable.
- **Volatility Arbitrage**:\
Exploits discrepancies between implied and actual volatility. Traders combine options with the underlying asset to profit from mispricings while hedging against unwanted risks.
### 3. Using Volatility for Risk Management
Volatility helps traders assess and manage risk effectively.
- **High Volatility**: Increases potential reward but comes with greater risk.
- **Risk Management Example**:\
A trader holding a highly volatile stock might buy protective put options to limit downside losses. If the stock drops sharply, the put option increases in value, offsetting losses in the stock position.
### 4. Volatility Index (VIX)
The **VIX**, often called the “fear gauge,” measures the market’s expectation of volatility over the next 30 days.
- **Rising VIX**: Indicates increased fear and uncertainty in the market.
- **Declining VIX**: Reflects calm and stability.
Traders use the VIX as a barometer of market sentiment to inform trade decisions.
### 5. Theta and Volatility
Theta measures time decay in options trading, and volatility has a direct impact on it.
- **High Volatility**: Leads to higher option premiums and greater profit potential.
- **Time Decay**: As options near expiration, time decay accelerates, eroding their value. Traders must account for theta when implementing volatility-based strategies, especially in high-volatility markets.
### Conclusion
Volatility is a vital tool for traders. Whether assessing risk, pricing options, or developing trading strategies, understanding both implied and historical volatility is essential. Traders can benefit from strategies like **straddles**, **strangles**, and **volatility arbitrage**, while using implied volatility to gauge market sentiment. Combining these strategies with an understanding of time decay (theta) and other options Greeks can give traders a significant edge.
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// File: financial-education/options/15-vega
## Vega: Sensitivity to Volatility in Options
Vega is a key option Greek that measures the sensitivity of an option’s price to changes in implied volatility. It indicates how much an option’s premium will change for every 1% change in implied volatility.
**Example**:\
If an option has a Vega of **0.10**, a 1% increase in volatility will increase the option’s price by ₹0.10, and vice versa.
### Impact of Vega
- **Positive Vega**: Both call and put options have positive Vega, meaning their premiums increase as implied volatility rises.
- **Highest at ATM**: Vega is highest for **At-The-Money (ATM)** options and decreases for **In-The-Money (ITM)** or **Out-of-The-Money (OTM)** options.
- **Longer-Term Options**: Options with more time until expiration have higher Vega because they are more sensitive to changes in implied volatility than shorter-term options.
Vega becomes particularly important in environments where volatility is expected to rise or fall significantly, such as:
- Before earnings announcements.
- During major economic reports.
- Amid geopolitical events.
An increase in implied volatility raises the prices of both calls and puts, while a decrease in volatility lowers them.
### Practical Example
Suppose a stock is trading at ₹500, and you are considering a call option with:
- **Strike Price**: ₹500 (ATM).
- **Current Option Price**: ₹20.
- **Vega**: 0.15.
- **Time to Expiry**: 30 days.
If implied volatility increases by **5%**, the option price will rise by:
**Price Increase** = 0.15 × 5 = ₹0.75
The new option price becomes:
₹20 + ₹0.75 = ₹20.75
If implied volatility decreases by **5%**, the option price will drop by ₹0.75, making the new price ₹19.25.
### Vega and Risk Management
Vega is crucial for traders, especially those using volatility-based strategies:
- **If volatility is expected to rise**: Buy options to profit from increased premiums.
- **If volatility is expected to fall**: Sell options to capitalize on decreasing premiums by buying them back at lower prices.
### Vega and Expiry Time
Vega has a stronger influence on options with longer time until expiry because there is more time for volatility to impact the option’s price. As the expiration date approaches:
- Vega decreases due to reduced time for significant price movements.
- Short-term options are less impacted by volatility changes.
### Conclusion
Vega measures how sensitive an option’s price is to changes in implied volatility, providing traders with critical insights into market conditions. Understanding Vega enables traders to make informed decisions when volatility is expected to change, whether buying options to profit from increased premiums or selling them to capitalize on decreased volatility. In high-volatility scenarios, options become more expensive due to increased uncertainty, offering opportunities for profit or risk mitigation.
---
// File: financial-education/options/16-greek-interactions
## Greek Interactions in Options Trading
In options trading, understanding how the option Greeks interact is essential for managing risk and making informed decisions. The key Greeks—**Delta**, **Gamma**, **Theta**, and **Vega**—each measure different aspects of an option’s price sensitivity to market variables. However, their interactions provide a more comprehensive view of how options behave in various market conditions.
### 1. Delta and Gamma Interaction
- **Delta** measures the sensitivity of an option’s price to changes in the underlying asset’s price. For example, a Delta of **0.5** means that for every 1-point increase in the stock’s price, the option price will increase by **0.5 points**.
- **Gamma** measures how much Delta changes when the price of the underlying asset moves. It indicates the rate of acceleration in Delta, making it crucial when options are close to expiration or near their strike prices. As the option approaches expiry, Gamma tends to increase, especially for **At-The-Money (ATM)** options. This causes the Delta to change rapidly as the underlying price moves.
**Example**:\
Imagine you hold an ATM call option with a Delta of **0.5** and Gamma of **0.10**. If the stock price increases by ₹1, the Delta will increase by **0.10**, making the new Delta **0.60**. This change shows how sensitive the option’s price becomes to further movements in the underlying asset.
### 2. Theta and Gamma Interaction
- **Theta** represents the time decay of an option, or how much its price decreases as time passes. As options near expiration, Theta increases, meaning the value of the option erodes faster.
- **Gamma** also tends to spike near expiration for ATM options. The interaction between Theta and Gamma creates a risk for option sellers, as the option’s value decays rapidly (Theta) but becomes highly sensitive to price movements (Gamma).
For option sellers, managing this risk becomes critical, as slight movements in the stock price can significantly change Delta due to Gamma, while time decay (Theta) continues to erode the option’s value.
### 3. Vega and Implied Volatility
- **Vega** measures the sensitivity of an option’s price to changes in implied volatility. Options with high Vega will see larger price movements when implied volatility changes.
- Vega is higher for long-dated options and decreases as expiration approaches.
In volatile markets, Vega plays a crucial role in determining whether an option is priced correctly:
- When implied volatility rises, the price of both calls and puts increases.
- When implied volatility falls, option prices drop.
**Gamma and Vega Interaction**:\
High Gamma means the option’s Delta changes rapidly, while high Vega indicates that volatility could lead to significant price swings. This interaction is especially important for ATM options.
### 4. Volatility Smile and Volatility Cone
- The **Volatility Smile** is a pattern where options with strike prices far from the current market price (deep **In-The-Money (ITM)** and **Out-of-The-Money (OTM)**) have higher implied volatility than those near the current price.
- The **Volatility Cone** shows how historical volatility evolves over time, helping traders assess whether an option is cheap or expensive relative to its historical norms.
### Conclusion
Understanding how Greeks interact provides traders with deeper insights into the dynamics of option pricing. By analyzing **Delta**, **Gamma**, **Theta**, and **Vega** together, traders can better manage risk and optimize their strategies. Whether hedging a position or capitalizing on market volatility, the interaction between these Greeks is vital for making informed decisions in the complex world of options trading.
---
// File: financial-education/options/17-greek-calculator
## Greek Calculator: A Comprehensive Guide
In options trading, the Greek Calculator is a vital tool that provides traders with theoretical option prices and the sensitivities of these prices to various factors, known as the option Greeks. Using the Black-Scholes model, this calculator enables traders to make informed decisions and manage risk effectively. Below is an in-depth look at how the calculator works, the inputs required, and the significance of the option Greeks it generates.
### Key Components of the Greek Calculator
The Greek Calculator relies on the **Black-Scholes (B\&S) model**, developed to estimate the fair price of options. This model considers factors like the underlying asset’s price, time to expiration, volatility, interest rates, and dividends. While the math behind the model is complex, the Greek Calculator simplifies the process, providing actionable outputs for traders.
### 1. Inputs for the Calculator
The following inputs are required:
- **Spot Price**: The current market price of the underlying asset. For equities, this is the stock’s trading price. For commodities or currencies, it may be the futures price.
- **Strike Price**: The price at which the option can be exercised.
- **Interest Rate**: The risk-free rate, typically based on the RBI’s 91-day Treasury bill yield.
- **Implied Volatility**: The market’s expectation of future volatility, which significantly affects option pricing.
- **Dividends**: The expected dividend amount per share, which impacts stock option pricing, especially if the stock goes ex-dividend during the option’s life.
- **Days to Expiry**: The number of calendar days remaining until the option expires.
*When analysing SENSEX options, you can use the [Live SENSEX Option Chain](https://algotest.in/sensex-option-chain) to select an expiry and compare strike prices, LTP, implied volatility, Open Interest and trading volume. You can then use the relevant values in the Greek Calculator to estimate the option’s theoretical price and understand its sensitivity to price, volatility and time.*
### 2. Outputs from the Calculator
The Greek Calculator provides several critical outputs:
- **Theoretical Option Price**: The fair value of the option based on the Black-Scholes model. This helps traders determine if an option is underpriced or overpriced compared to the market price.
- **Delta**: Measures how much the option price will change with a ₹1 change in the underlying asset’s price.
- **Range**: 0 to 1 for call options, -1 to 0 for put options.
- **Example**: If a call option has a Delta of **0.6**, the option price will increase by ₹0.6 for every ₹1 increase in the stock price.
- **Gamma**: Represents the rate of change in Delta as the underlying asset’s price changes. High Gamma indicates Delta will change rapidly, especially for **At-The-Money (ATM)** options near expiration.
- **Theta**: Known as time decay, Theta measures how much the option’s price decreases with each passing day, assuming all other factors remain constant.
- **Impact**: Options lose value over time, and Theta quantifies this loss, which is beneficial for option sellers.
- **Vega**: Shows how much the option price will change with a 1% change in implied volatility.
- **High Vega**: Indicates greater sensitivity to volatility changes, making this critical in volatile markets.
- **Rho**: Measures the sensitivity of the option price to changes in the risk-free interest rate. While less impactful than other Greeks, Rho becomes important during significant interest rate changes.
### Put-Call Parity (PCP)
The Greek Calculator also incorporates the concept of **Put-Call Parity (PCP)**, which establishes a relationship between the prices of call and put options, the spot price of the underlying asset, and the present value of the strike price.
**Put-Call Parity Equation**:
Call Price + Present Value of Strike Price = Put Price + Spot Price
Where:
- **Call Price (C)**: The price of the call option.
- **Put Price (P)**: The price of the put option.
- **Spot Price (S)**: The current market price of the underlying asset.
- **Present Value of Strike Price (PV(K))**: The discounted value of the strike price, considering the risk-free interest rate.
PCP ensures that options are priced to prevent arbitrage opportunities, where traders could profit from price discrepancies.
### Practical Example
Consider options on **ICICI Bank**:
- Spot Price: ₹750
- Strike Price: ₹760
- Risk-Free Interest Rate: 6%
- Implied Volatility: 20%
- Dividend: ₹2 per share
- Days to Expiry: 30
By inputting these values into the Greek Calculator, traders receive the option’s theoretical price and corresponding Greeks. These insights help analyze the sensitivity of the option to market changes, enabling informed trading decisions.
### Using the Calculator for Risk Management
The Greek Calculator is indispensable for managing risk:
- **High Vega**: Indicates vulnerability to volatility changes.
- **High Theta**: Highlights time decay impact, especially for long option positions.
- **Gamma and Delta**: Help adjust positions in response to rapid price movements.
By understanding how each Greek affects an option’s price, traders can better manage risk and optimize their strategies.
### Conclusion
The Greek Calculator simplifies the complexities of options trading, offering insights into the fair value of options and their sensitivity to price movements, volatility, and time decay. By using the calculator, traders can make more strategic decisions, improving their performance in the options market. While the calculator provides valuable insights, traders should also consider market conditions and other factors that may impact their trades.
---
// File: financial-education/options/18-mastering-call-and-put
# Mastering Call and Put Options for AlgoTest Strategies
**Call and Put Options** are essential tools for options traders, offering flexibility to profit from market movements.
- A **call option** gives the right to buy an asset at a set price within a timeframe, with potential for significant gains if the price rises, but limited risk capped at the premium paid.
- A **put option** allows selling at a set price, profitable when the asset’s price drops, again with limited risk.
## Payoff Diagrams for Clear Insights
Visual payoff diagrams help traders grasp potential outcomes:
- **Call Option Payoff**: Gains increase as the asset’s price rises beyond the strike price plus the premium, but losses are limited to the premium.
- **Put Option Payoff**: Profits grow as the asset’s price falls below the strike price minus the premium, with maximum loss limited to the premium paid.
These diagrams illustrate the asymmetry between option buyers and sellers:
- **Option Buyers**: Face limited risk but have significant profit potential.
- **Option Sellers**: Receive limited profit (the premium) but face substantial risk if the market moves unfavorably.
## Strategic Applications
1. **Speculation**:
- Traders buy calls to profit from expected price increases or puts for anticipated declines.
- These strategies can be highly lucrative with lower initial investment compared to directly buying or shorting the asset.
2. **Hedging**:
- Options can act as insurance.
- Example: Buying a put protects a long stock position from downside risk.
3. **Income Generation**:
- Selling options generates income from premiums, but it carries the risk of large losses if the market moves against the position.
## Example for AlgoTest Traders
Imagine using AlgoTest to execute a call option strategy:
- Buy a call for ₹10 with a ₹100 strike price.
- If the underlying asset rises to ₹120, your profit is ₹10 (₹120 - ₹100 - ₹10 premium).
- If the asset doesn’t rise above ₹100, your loss is limited to ₹10.
This illustrates the risk-reward balance of options trading.
## Leveraging the Greek Calculator
The **Greek Calculator** is a powerful tool for analyzing options. It simplifies complex calculations and helps manage risk by breaking down how price, volatility, and time affect options.
### Critical Greeks:
1. **Delta**:
- Measures how much the option’s price will change with a ₹1 movement in the underlying asset.
- Higher Delta indicates greater price sensitivity.
2. **Gamma**:
- Indicates how Delta changes as the underlying price moves.
- High Gamma suggests Delta will change rapidly, making it essential for short-term traders.
3. **Theta**:
- Represents the impact of time decay.
- Options lose value over time, especially near expiration, so Theta is crucial for options buyers to consider.
4. **Vega**:
- Reflects sensitivity to volatility changes.
- High Vega means the option price will change significantly if market volatility increases or decreases.
5. **Rho**:
- Shows how the option price reacts to changes in interest rates.
- It’s generally less impactful but still relevant, especially for long-term options.
## Risk Management on AlgoTest
AlgoTest’s Greek Calculator helps you understand how each Greek impacts your options positions, allowing you to strategize effectively:
- **If Vega is high**: Your options position is sensitive to volatility changes, so you may want to adjust based on market conditions.
- **If Theta is high**: Be aware of time decay, especially if holding long positions near expiration.
By using AlgoTest, you can automate these strategies and backtest them to ensure they align with your risk tolerance and market outlook.
## Conclusion
Mastering call and put options is essential for successful trading on AlgoTest. With a solid understanding of payoff diagrams, strategic applications, and the impact of the Greeks, you can optimise your trading strategies and manage risk more effectively. Options trading is about making calculated decisions and leveraging tools like the Greek Calculator to stay ahead in dynamic market conditions.
---
// File: financial-education/options-strategies/index
## 📈 Options Strategies Navigation
🔗 Explore Options Strategies
- [Options Strategies Overview](https://docs.algotest.in/financial-education/options-strategies/)
- [Bear Call Ladder](https://docs.algotest.in/financial-education/options-strategies/bear-call-ladder/)
- [Bear Call Spread](https://docs.algotest.in/financial-education/options-strategies/bear-call-spread/)
- [Bear Put Spread](https://docs.algotest.in/financial-education/options-strategies/bear-put-spread/)
- [Bull Call Spread](https://docs.algotest.in/financial-education/options-strategies/bull-call-spread/)
- [Bull Put Spread](https://docs.algotest.in/financial-education/options-strategies/bull-put-spread/)
- [Call Ratio Back Spread](https://docs.algotest.in/financial-education/options-strategies/call-ratio-back-spread/)
- [Iron Condor](https://docs.algotest.in/financial-education/options-strategies/iron-condor/)
- [Long and Short Strangle](https://docs.algotest.in/financial-education/options-strategies/long-short-strangle/)
- [Long Straddle](https://docs.algotest.in/financial-education/options-strategies/long-straddle/)
- [Max Pain & Put-Call Ratio](https://docs.algotest.in/financial-education/options-strategies/max-pain-put-call-ratio/)
- [Put Ratio Back Spread](https://docs.algotest.in/financial-education/options-strategies/put-ratio-back-spread/)
- [Short Straddle](https://docs.algotest.in/financial-education/options-strategies/short-straddle/)
# 📊 Overview of Options Strategies
The **Options Strategies** section serves as a comprehensive guide to mastering options trading techniques. Whether you are a beginner looking to understand basic strategies or an experienced trader seeking advanced methods, this section covers it all.
Options strategies help traders capitalize on market movements, hedge risks, and generate income under varying market conditions. These strategies can be **bullish**, **bearish**, or **neutral**, catering to diverse market outlooks and risk profiles.
***
## 💡 What You'll Learn:
1. **Directional Strategies**:
- Bullish strategies like *Bull Call Spread* and *Bull Put Spread* to profit from upward trends.
- Bearish strategies like *Bear Call Spread* and *Bear Put Spread* for markets expected to decline.
2. **Volatility-Based Strategies**:
- Learn to trade when volatility is high or low:
- *Long Straddle* and *Long Strangle* for significant price movements.
- *Short Straddle* and *Short Strangle* for range-bound markets.
3. **Advanced Strategies**:
- Complex strategies like *Iron Condor*, *Bear Call Ladder*, and *Call/Put Ratio Back Spread* for experienced traders aiming to manage risk and optimize rewards.
4. **Sentiment Analysis**:
- Tools like the *Max Pain Theory* and *Put-Call Ratio (PCR)* to gauge market sentiment and plan strategies accordingly.
***
## 🛠️ Why Learn Options Strategies?
- **Risk Management**: Options strategies provide a structured approach to limiting risk.
- **Profit Potential**: Strategically combine calls and puts to profit from various market conditions.
- **Flexibility**: Options allow you to profit from upward, downward, or even sideways markets.
- **Income Generation**: Use premium-collecting strategies like *Short Straddle* and *Iron Condor* for consistent income.
***
## 📈 How AlgoTest Enhances Your Options Trading
AlgoTest simplifies and enhances your learning and execution of options strategies:
- **Automate Strategies**: Seamlessly execute complex strategies with AlgoTest automation tools.
- **Backtesting**: Test your strategies on historical data to evaluate their performance.
- **Real-Time Monitoring**: Track your strategies live and make quick adjustments when needed.
***
Explore this section to gain confidence in options trading, understand strategy nuances, and maximize your returns under different market scenarios.
---
// File: financial-education/options-strategies/01-bull-call-spread
# Bull Call Spread
The **Bull Call Spread** strategy is ideal for traders with a **moderately bullish outlook** on an asset. It involves **buying a call option** at a lower strike price while **simultaneously selling another call option** at a higher strike price, both expiring on the **same date**. The premium collected from selling the higher strike call reduces the cost of purchasing the lower strike call, creating a cost-effective strategy. While this approach caps the **maximum profit** at the higher strike, it also limits the **maximum loss** to the net premium paid, balancing risk and reward.
***
## How It Works
1. **Buy Call Option**: You buy a call option at a lower strike price, expecting the underlying asset to rise. This costs a premium.
2. **Sell Call Option**: You sell a call option at a higher strike price. The premium received helps offset the initial cost.
3. **Net Premium Paid**: The total cost of the strategy is the difference between the premium paid and the premium received.
## Bull Call Spread on AlgoTest
Go to AlgoTest’s Strategy Builder by clicking on [this link](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals). You will get an interface as shown in the image below.
***
Go to **Settings** and select **Spot** to run the strategy.
***
From the **Option Chain**, we just have to:
- **Buy 1 ATM call option**
- **Sell 1 OTM call option**
Click the **Buy/Sell** button as shown in the image below.
***
After that, you can deploy it on your broker in one click by clicking the **Live Trade With** button as shown in the image below. Alternatively, you can **forward test (paper trade)** it on AlgoTest if you don’t want to deploy it with real money.
***
## Example
Suppose a stock is trading at **₹100**. You believe the stock will rise but not significantly.
- You **buy a call option** at a ₹100 strike for a premium of **₹5**.
- You **sell a call option** at a ₹110 strike for a premium of **₹2**.
- The **net premium paid** is **₹3** (₹5 - ₹2).
### Outcomes:
- If the stock rises to **₹110 or higher**:
- Your maximum profit is **₹7** (the difference between strike prices minus the net premium paid).
- If the stock doesn’t rise above **₹100**:
- Your maximum loss is the **₹3 premium paid**.
***
## When to Use
- **Market Outlook**: Use this strategy when you expect a **moderate price increase**.
- **Risk Management**: The strategy limits your downside risk to the **net premium paid**.
***
## Advantages and Disadvantages
### Advantages
- Reduces the cost of being bullish compared to buying a single call option.
- Relatively simple to execute.
### Disadvantages
- Profit potential is **capped** at the higher strike price.
- If the underlying price doesn’t move as expected, you could lose the entire premium.
***
## Practical Application with AlgoTest
AlgoTest traders can **automate** and **backtest** the Bull Call Spread strategy to evaluate performance under different market conditions. By simulating trades, you can:
- Better understand potential outcomes.
- Refine your trading approach.
***
This strategy is a great starting point for those looking to **profit from a rising market with defined risks** and is easily integrated into a broader options trading plan.
---
// File: financial-education/options-strategies/02-bull-put-spread
# Bull Put Spread
The **Bull Put Spread** is a conservative options strategy used when traders have a **moderately bullish outlook** on an asset. It involves **selling a put option** at a higher strike price and **buying another put option** at a lower strike price, both with the **same expiration date**. The goal is to collect a **net credit** while limiting potential losses. The premium received from selling the higher strike put is partially offset by the cost of the lower strike put, capping both the profit and the risk.
***
## How It Works
1. **Sell a Put Option**:\
You sell a put option at a higher strike price, collecting a premium. This exposes you to risk if the asset’s price drops below the strike price.
2. **Buy a Put Option**:\
Simultaneously, you buy a put option at a lower strike price. This acts as a **hedge**, limiting your downside risk.
3. **Net Credit**:\
The difference between the premium received from selling the higher strike put and the premium paid for the lower strike put is your **net credit** and maximum profit potential.
## Bull Put Spread on AlgoTest
Go to AlgoTest’s Strategy Builder by clicking on [this link](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals). You will get an interface as shown in the image below.
***
Go to **Settings** and select **Spot** to run the strategy.
***
From the **Option Chain**, we just have to:
- **Buy 1 OTM put option**
- **Sell 1 ITM put option**
Click the **Buy/Sell** button as shown in the image below.
***
After that, you can deploy it on your broker in one click by clicking the **Live Trade With** button as shown in the image below. Alternatively, you can **forward test (paper trade)** it on AlgoTest if you don’t want to deploy it with real money.
***
## Example
Imagine a stock is trading at **₹100**. You believe the stock will stay above **₹95** until expiration.
- You **sell a put option** with a **₹100 strike** for **₹5**.
- You **buy a put option** with a **₹95 strike** for **₹2**.
- The **net credit** is **₹3**, which is your **maximum profit**.
### Outcomes:
- If the stock stays **above ₹100**:
- Both options expire worthless, and you keep the **₹3** net credit.
- If the stock falls **below ₹95**:
- Your **maximum loss** is limited to **₹2** (the difference between the strike prices minus the net credit).
***
## When to Use the Bull Put Spread
- **Market Outlook**: Employ this strategy when you expect the asset’s price to remain **stable** or **increase moderately**.
- **Risk Management**: It’s a great way to **generate income** with limited risk, especially in markets that are not highly volatile.
***
## Advantages and Disadvantages
### Advantages:
- The strategy **generates income** from the net credit.
- **Losses are limited**, providing a defined risk profile.
- It requires **less margin** compared to selling a naked put.
### Disadvantages:
- **Profit is capped** at the net credit, meaning you cannot take full advantage of a significant upward move.
- If the underlying asset drops below the lower strike, you still face a loss, although limited.
***
## Practical Application on AlgoTest
Using **AlgoTest**, traders can:
- **Automate** and **backtest** the Bull Put Spread to assess its performance under various market conditions.
- Automation ensures trades are executed with **precision**, and backtesting provides insights into how the strategy would have performed **historically**.
***
This strategy is perfect for traders looking to **earn premium income** with a **controlled risk profile**, making it a reliable choice for those seeking a consistent, lower-risk approach to **bullish markets**.
---
// File: financial-education/options-strategies/03-call-ratio-back-spread
# Call Ratio Back Spread
The **Call Ratio Back Spread** is a bullish options strategy used when a trader expects a **significant upward move** in the underlying asset. It involves **selling one in-the-money (ITM)** or **near-the-money (ATM)** call option and **buying two out-of-the-money (OTM)** call options. This strategy offers **unlimited profit** potential if the asset price rises sharply, while losses remain **limited** if the price stays flat or decreases.
***
## How It Works
1. **Sell One Call Option**:
- Collect premium by selling an **in-the-money** or **at-the-money** call option.
2. **Buy Two Call Options**:
- Use the collected premium to buy **two out-of-the-money** call options.
- This creates a **net debit** or, in some cases, a small **net credit**.
3. **Profit Potential**:
- The strategy benefits from a **strong upward move** in the underlying asset, as the value of the long calls increases significantly.
4. **Loss Potential**:
- Losses are capped if the asset price ends up **near the strike price** of the sold call.
- The maximum loss is **limited to the net debit paid** (if applicable).
## Call Ratio Back Spread on AlgoTest
- Go to AlgoTest's Strategy Builder by clicking on [this link](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder). You will get an interface as shown in the image below.
- Go to settings and select Spot to run the strategy.
- From the option chain, we have to buy two OTM call options and sell one ITM Call option as shown in the image below by clicking the buy/sell button.
- After that, you can simply deploy it on your broker in one click by just clicking on the live trade with button as shown in the image below. Otherwise, you can also forward test (paper trade) it on AlgoTest if you don't want to deploy it with real money.
***
## Example
Let’s say a stock is trading at **₹100**:
- You **sell a ₹100 call option** for **₹5**.
- You use the proceeds to **buy two ₹110 call options** for **₹2 each**.
### Net Cost:
- The net debit is **₹1** (₹5 - ₹4).
### Outcomes:
1. **If the stock price surges well above ₹110**:
- The profits from the **two long calls** could be substantial, creating **unlimited profit potential**.
2. **If the stock price remains around ₹100 or decreases**:
- The maximum loss is **₹1**, the **net debit** paid.
3. **If the stock price hovers near ₹110**:
- Gains may not materialize fully due to the strike price positioning.
***
## When to Use It
- **Market Outlook**: Use this strategy when you anticipate a **strong upward move** in the asset price.
- **Volatile Market Conditions**: Works well when **significant volatility** is expected, such as before **major announcements** or **economic events**.
***
## Advantages and Disadvantages
### Advantages:
- **Unlimited profit potential** if the asset’s price rises significantly.
- **Limited risk**, making it a safer strategy for speculating on large price movements.
### Disadvantages:
- **Complex to execute** compared to basic strategies.
- May result in a **small net debit**.
- Moderate price increases near the strike price of the **sold call** can lead to **suboptimal outcomes**.
***
## Using AlgoTest for the Call Ratio Back Spread
**AlgoTest** simplifies the execution of this strategy with tools to:
- **Automate** the setup and trading of the Call Ratio Back Spread.
- **Backtest** the strategy using historical data to evaluate its performance under various market conditions.
- Set parameters to adjust **strike prices**, **expiration dates**, and evaluate your expected **risk and reward** before going live.
By understanding and practising the Call Ratio Back Spread, **AlgoTest traders** can capitalise on sharp market moves while keeping their **downside risk manageable**.
---
// File: financial-education/options-strategies/04-bear-call-ladder
# Bear Call Ladder
The **Bear Call Ladder** is an options strategy designed for traders who expect **significant price volatility** but are unsure of the direction. It involves three steps: **selling one in-the-money (or near-the-money) call option** and **buying two out-of-the-money call options**, generating an **initial net credit**. This strategy profits from a sharp price move upward while capping potential losses if the price remains within a certain range.
***
## How It Works
1. **Sell One Call Option**:
- An **in-the-money** or **near-the-money** call is sold, generating a premium.
- This creates the obligation to sell the underlying asset if the price rises above this strike price.
2. **Buy Two Out-of-the-Money Call Options**:
- Two **higher strike** call options are purchased using part of the premium collected from the sold call.
- This sets up the opportunity for **unlimited gains** if the price skyrockets.
3. **Net Credit**:
- The strategy typically results in a **net credit** (or small net cost) due to the premium received from the sold call exceeding the cost of the two long calls.
***
## Example
Assume a stock is trading at **₹100**:
- **Sell** a **₹95 call** for **₹8**.
- **Buy two** **₹105 calls** for **₹3 each**.
### Net Credit:
- Total premium received = ₹8
- Total premium paid = ₹6
- **Net credit = ₹2**
### Outcomes:
1. **If the stock stays between ₹95 and ₹105**:
- Losses are minimal as the price remains in a neutral range.
2. **If the stock price rises significantly above ₹105**:
- The **long calls generate substantial profits**, leading to **unlimited gains**.
3. **If the stock price falls below ₹95**:
- You **keep the net credit (₹2)** as profit.
***
## When to Use
- **Market Outlook**: Ideal for markets expected to show **strong volatility** but with **unclear direction**.
- **Events**: Useful before earnings announcements or macroeconomic data releases where price swings are expected.
- **Risk Management**: Caps maximum loss while providing unlimited profit potential if the price surges.
***
## Advantages and Disadvantages
### Advantages:
- **Unlimited profit potential** if the asset price rises significantly.
- **Limited and manageable loss** if the price moves moderately.
- Generates an **initial credit**, providing upfront income.
### Disadvantages:
- Underperforms if the price stays within a specific range, resulting in **maximum loss**.
- Requires a good understanding of **strike selection** and options mechanics.
***
## Using AlgoTest to Optimise the Strategy
AlgoTest simplifies the **Bear Call Ladder** by:
- Allowing traders to **automate** and **backtest** the strategy under historical market conditions.
- Providing **real-time monitoring tools** to keep track of trades and react quickly to price changes.
- Helping traders **refine their approach** through simulations and insights.
***
## Conclusion
The **Bear Call Ladder** is an advanced options strategy ideal for traders expecting **high volatility**. With capped risk and **unlimited upside**, it is well-suited for markets prone to significant price swings. Using platforms like **AlgoTest** to backtest and automate the strategy enhances execution, risk management, and overall performance.
***
# Synthetic Long Arbitrage
The **Synthetic Long Arbitrage** strategy is an advanced options technique that **creates a synthetic long position** to exploit **arbitrage opportunities** for potential **risk-free gains**. It combines a **long call** and a **short put** on the **same underlying asset** with identical **strike prices** and **expiration dates**.
***
## How It Works
1. **Synthetic Long Position**:
- Buy a **call option** and sell a **put option** at the same strike price.
- This replicates the payoff of holding the **underlying asset**:
- If the price rises, the **call gains value**.
- If the price drops, the **short put** loses value.
2. **Arbitrage Opportunity**:
- When the synthetic position is **cheaper** than buying the underlying asset outright:
- Traders purchase the synthetic position.
- Simultaneously **short the underlying asset**, locking in a **risk-free profit** from the price discrepancy.
***
## Example
Assume a stock is trading at **₹100**:
- A **call option** with a strike price of ₹100 costs **₹3**.
- A **put option** with the same strike price costs **₹2**.
### Net Cost:
- **Buy the call** for ₹3 and **sell the put** for ₹2.
- Net cost = ₹1.
If you **short the stock** at ₹100 and use the synthetic long position to cover your obligation, you lock in a **risk-free profit** of ₹1.
***
## When to Use
- **Arbitrage Opportunities**: Best suited for markets with **pricing inefficiencies**.
- **Market Conditions**: Works in stable markets where discrepancies between synthetic and actual positions occur temporarily.
***
## Advantages and Disadvantages
### Advantages:
- Potential for **risk-free profits** when executed correctly.
- Utilizes options to **replicate** the payoff of holding the underlying asset.
### Disadvantages:
- Requires **timely execution** and precision to exploit arbitrage.
- **Transaction costs** can impact profitability.
- Arbitrage opportunities are **rare and short-lived**.
***
## Practical Application for AlgoTest Traders
AlgoTest enhances the **Synthetic Long Arbitrage** strategy by:
- **Monitoring** arbitrage opportunities in real-time.
- Allowing traders to **automate execution**, ensuring precision and speed.
- Providing tools to **backtest** the strategy to evaluate its performance under historical conditions.
***
## Conclusion
The **Synthetic Long Arbitrage** is a powerful strategy for advanced traders to capitalize on market inefficiencies. While offering **risk-free gains**, it demands a deep understanding of options pricing and market conditions. By leveraging **AlgoTest**, traders can efficiently **identify, automate, and optimize** the strategy, improving their chances of capturing fleeting arbitrage opportunities.
---
// File: financial-education/options-strategies/05-bear-put-spread
# Bear Put Spread
The **Bear Put Spread** is a straightforward bearish options strategy for traders anticipating a **moderate decline** in the price of an underlying asset. It involves two key actions: **buying a put option** at a higher strike price and **selling a put option** at a lower strike price. Both options share the **same expiration date**, resulting in a **cost-effective approach** compared to buying a single put option.
***
## How It Works
1. **Buy a Higher Strike Put**:
- Gives you the right to **sell** the underlying asset at a higher price.
- Profits if the price drops below this strike.
2. **Sell a Lower Strike Put**:
- Obligates you to **buy** the underlying asset at a lower price if exercised.
- The **premium received** from selling this put helps offset the cost of the higher strike put.
3. **Net Debit**:
- The strategy generally results in a **net debit (cost)**, as the premium paid for the higher strike put exceeds the premium received from selling the lower strike put.
## Bear Put Spread on AlgoTest
Go to AlgoTest’s Strategy Builder by clicking on [this link](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals). You will get an interface as shown in the image below.
***
Go to **Settings** and select **Spot** to run the strategy.
***
From the **Option Chain**, we just have to:
- **Buy an ITM put option**
- **Sell an OTM put option**
Click the **Buy/Sell** button as shown in the image below.
***
After that, you can deploy it on your broker in one click by clicking the **Live Trade With** button as shown in the image below. Alternatively, you can **forward test (paper trade)** it on AlgoTest if you don’t want to deploy it with real money.
***
## Example
Assume a stock is trading at **₹100**. You expect the price to drop but not drastically:
- **Buy** a **₹100 put option** for **₹5**.
- **Sell** a **₹90 put option** for **₹2**.
### Net Cost:
- ₹5 (premium paid) - ₹2 (premium received) = **₹3 net cost**.
### Outcomes:
1. **If the stock drops below ₹90**:
- Maximum profit = **₹7** (the difference between strike prices **₹100 - ₹90** minus the net cost ₹3).
2. **If the stock stays above ₹100**:
- Maximum loss = **₹3**, which is the premium paid.
3. **If the stock closes between ₹90 and ₹100**:
- Partial loss or break-even, depending on the stock's exact price.
***
## When to Use It
- **Market Outlook**: Ideal for **moderately bearish markets** where a significant price drop is not expected.
- **Risk Management**: A great way to define risk and ensure losses are capped.
***
## Advantages and Disadvantages
### Advantages:
- **Lower cost** compared to buying a standalone put option.
- **Defined risk and reward**, making it a safer bearish strategy.
### Disadvantages:
- **Capped profit potential** even if the asset drops significantly.
- The strategy loses money if the asset doesn’t drop below the higher strike put by expiration.
***
## Practical Application for AlgoTest Users
Using **AlgoTest**, you can:
- **Automate** the Bear Put Spread strategy for seamless execution.
- **Backtest** the strategy to evaluate historical performance and fine-tune strike prices.
- **Monitor and adjust** the strategy in real-time, allowing you to respond efficiently to market movements.
AlgoTest's tools help you analyze the **risk-to-reward ratio** and optimize your approach for better outcomes.
***
## Conclusion
The **Bear Put Spread** is a **cost-effective** strategy for traders with a moderately bearish outlook. While it **limits both risk and reward**, it offers a strategic way to profit from expected price declines. By leveraging **AlgoTest’s automation and backtesting tools**, traders can optimize their setups and confidently prepare for various market scenarios.
---
// File: financial-education/options-strategies/06-bear-call-spread
# Bear Call Spread
The **Bear Call Spread** is a bearish options strategy used when a trader expects a **moderate decline** or **limited upward movement** in the underlying asset’s price. It involves **selling a call option** at a lower strike price and **buying another call option** at a higher strike price, both with the **same expiration date**. This setup generates a **net credit**, which is the maximum profit potential. The strategy limits both profit and loss, making it a **relatively safe choice** for bearish market conditions.
***
## How It Works
1. **Sell a Lower Strike Call**:
- Generates a premium but exposes you to risk if the asset price rises above this strike.
2. **Buy a Higher Strike Call**:
- The premium paid for this option acts as **insurance**, capping potential losses.
3. **Net Credit**:
- The difference between the premium **collected** from selling the lower strike call and the premium **paid** for the higher strike call is your **maximum profit**.
# Bear Call Spread
Go to AlgoTest’s Strategy Builder by clicking on [this link](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals). You will get an interface as shown in the image below.
***
Go to **Settings** and select **Spot** to run the strategy.
***
From the **Option Chain**, we just have to:
- **Buy 1 OTM call option**
- **Sell 1 ITM call option**
Click the **Buy/Sell** button as shown in the image below.
***
After that, you can deploy it on your broker in one click by clicking the **Live Trade With** button as shown in the image below. Alternatively, you can **forward test (paper trade)** it on AlgoTest if you don’t want to deploy it with real money.
***
## Example
Assume a stock is trading at **₹100**. You expect the price to remain below **₹105**:
- **Sell** a **₹100 strike call option** for **₹5**.
- **Buy** a **₹110 strike call option** for **₹2**.
### Net Credit:
- ₹5 (premium collected) - ₹2 (premium paid) = **₹3 net credit**.
### Outcomes:
1. **If the stock stays below ₹100**:
- Both options expire worthless.
- You keep the **₹3 net credit** as your profit.
2. **If the stock rises above ₹110**:
- Your **maximum loss** is capped at **₹7** (difference between the strike prices **₹110 - ₹100** minus the net credit ₹3).
3. **If the stock price closes between ₹100 and ₹110**:
- Partial loss occurs depending on where the stock price lands.
***
## When to Use It
- **Market Outlook**: Best suited for **moderately bearish markets** where you don’t expect significant price increases.
- **Risk Management**: Provides a **defined risk-reward profile**, making it a safer choice for bearish trading strategies.
***
## Advantages and Disadvantages
### Advantages:
- **Generates income** through the net credit received.
- **Risk is capped**, providing a known maximum loss.
### Disadvantages:
- **Limited profit potential**, even if the market moves in your favor.
- The strategy can still incur losses if the asset price **rises significantly**.
***
## Practical Application for AlgoTest Users
AlgoTest allows you to:
- **Automate** the Bear Call Spread strategy for efficient execution.
- **Backtest** the strategy to evaluate its performance under various historical scenarios.
- Refine your **strike price selection** and ensure your risk exposure is manageable.
- **Monitor in real-time** to make **data-driven adjustments** as market conditions change.
AlgoTest’s platform simplifies the execution and optimization of the Bear Call Spread, helping traders improve consistency and performance.
***
## Conclusion
The **Bear Call Spread** is a conservative bearish strategy that offers a **good balance between risk and reward**. It’s particularly effective in markets where you expect **limited upside movement**. By leveraging **AlgoTest’s automation and backtesting tools**, traders can:
- **Optimize** the strategy,
- **Ensure consistent execution**,
- **Maximize efficiency** and profitability.
This makes the Bear Call Spread an excellent choice for bearish traders seeking controlled risk and reliable returns.
---
// File: financial-education/options-strategies/07-put-ratio-back-spread
# Put Ratio Back Spread
The **Put Ratio Back Spread** is a strategic options play used when you expect **significant downward movement** in the underlying asset but want to **limit potential losses** if the asset price increases. This strategy involves selling a **lower number of put options** at a higher strike price and buying a **greater number of put options** at a lower strike price. The result is often a **net credit** or minimal cost and offers the potential for **substantial profit** if the asset declines sharply, while limiting losses on an upward price move.
***
## How It Works
1. **Sell Higher Strike Put**:
- Collect a premium by selling fewer **in-the-money** or **near-the-money** put options.
2. **Buy More Lower Strike Puts**:
- Use the premium to buy a **greater number** of **out-of-the-money** put options.
- This position profits significantly if the asset price drops below the lower strike price.
3. **Net Credit or Minimal Cost**:
- The strategy often results in a **net credit**, but sometimes a small **debit** depending on the strike prices and premiums.
# Put Ratio Back Spread on AlgoTest
Go to AlgoTest’s Strategy Builder by clicking on [this link](#). You will get an interface as shown in the image below.
***
Go to **Settings** and select **Spot** to run the strategy.
***
From the **Option Chain**, we have to:
- **Buy two OTM Put options**
- **Sell one ITM Put option**
Click the **Buy/Sell** button as shown in the image below.
***
After that, you can deploy it on your broker in one click by clicking the **Live Trade With** button as shown in the image below. Alternatively, you can **forward test (paper trade)** it on AlgoTest if you don’t want to deploy it with real money.
***
## Example
Consider a stock trading at **₹100**:
- **Sell 1 Put Option** with a **₹100 strike** for **₹5**.
- **Buy 2 Put Options** with a **₹90 strike** for **₹2.5** each.
### Net Cost:
- ₹5 (collected) - ₹5 (paid) = **₹0 (no cost)**.
### Outcomes:
1. **If the stock drops well below ₹90**:
- The **₹90 puts** gain significant value, leading to **large profits**.
2. **If the stock remains above ₹100**:
- All options expire worthless, and no profit or loss occurs.
3. **If the stock drops only slightly**:
- You incur a limited loss as the value of the sold put offsets part of the gain on the purchased puts.
***
## When to Use It
- **Market Outlook**:
- Ideal when you expect **significant volatility** and are **highly bearish** on the asset.
- Provides protection if the decline is moderate or the price increases.
- **Volatile Conditions**:
- Best used before major announcements, earnings releases, or events that could trigger sharp price movements.
***
## Advantages and Disadvantages
### Advantages:
- **Unlimited profit potential** if the underlying asset declines sharply.
- **Minimal or no cost** to initiate the strategy, often generating a **net credit**.
- **Limited loss** if the price moves against you.
### Disadvantages:
- Loses money if the asset price drops **only slightly** and stays **between the strike prices**.
- Requires a **strong directional view**; profits are limited if the asset remains range-bound.
***
## Practical Application for AlgoTest Users
Using **AlgoTest**, traders can:
1. **Automate the Put Ratio Back Spread** for efficient execution.
2. **Backtest** the strategy to analyze historical performance and refine strike price parameters.
3. Use **real-time monitoring** to make adjustments and respond swiftly to market changes.
AlgoTest’s platform simplifies managing this complex strategy, allowing traders to optimize risk and performance.
***
## Conclusion
The **Put Ratio Back Spread** is an advanced options strategy suitable for traders expecting **high volatility** and a **significant price drop**. With the potential for **large profits** if the market declines sharply, it is a powerful tool for bearish scenarios. By leveraging **AlgoTest**, traders can automate, backtest, and optimize this strategy, gaining confidence in execution and improving risk management.
---
// File: financial-education/options-strategies/08-long-straddle
# The Long Straddle
The **Long Straddle** is a market-neutral options strategy used when a trader expects **significant price movement** in either direction but is unsure about the direction itself. It involves buying both a **call option** and a **put option** on the same underlying asset, with identical strike prices and expiration dates. The strategy profits from **large price swings** in either direction, while the **maximum loss** is limited to the total premium paid if the asset remains range-bound.
***
## How It Works
1. **Buy a Call Option**:
- Provides the right to **buy** the asset if the price rises.
2. **Buy a Put Option**:
- Provides the right to **sell** the asset if the price falls.
3. **Net Cost**:
- The strategy incurs a **net debit**, equal to the combined cost of both options.
## Long Straddle on AlgoTest
***
Go to [AlgoTest’s Strategy Builder](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals) to get started. You will see an interface like the one shown above.
***
Go to **Settings** and select **Spot** to run the strategy.
***
From the **Option Chain**, we just have to:
- **Buy 1 lot of ATM call options**
- **Buy 1 lot of ATM put options**
Click the **Buy/Sell** button as shown in the image below.
***
After that, you can deploy it on your broker in one click by clicking the **Live Trade With** button as shown in the image below. Alternatively, you can **forward test (paper trade)** it on AlgoTest if you don’t want to deploy it with real money.
***
## Example
Assume a stock is trading at **₹100**:
- **Buy a Call Option** with a **₹100 strike** for **₹5**.
- **Buy a Put Option** with a **₹100 strike** for **₹5**.
### Total Cost:
- ₹5 (call) + ₹5 (put) = **₹10 premium paid**.
### Profit Scenarios:
- If the stock price moves **above ₹110** or **below ₹90**, you start making a profit.
- If the price remains close to **₹100**, your maximum loss is limited to **₹10** (the total premium paid).
***
## When to Use It
- **Market Outlook**:
- Ideal for scenarios where you expect **high volatility** but are unsure about the direction.
- Commonly used before **earnings announcements** or major economic releases.
- **High Volatility Conditions**:
- Best employed when there is a strong expectation of movement but **no directional bias**.
***
## Advantages and Disadvantages
### Advantages
- **Unlimited Profit Potential**:
- If the asset moves significantly in either direction, profits are **unlimited**.
- **Limited Risk**:
- The maximum loss is **capped** at the total premium paid for the options.
### Disadvantages
- **Break-Even Requires a Large Move**:
- Significant price movement is needed to cover the total premium paid.
- **Time Decay (Theta)**:
- Works against you, as both options lose value over time if the asset price remains stagnant.
***
## Practical Application for AlgoTest Users
**AlgoTest** users can:
- **Automate** the Long Straddle strategy for efficient execution.
- **Backtest** the strategy against historical data to identify **optimal setups**.
- Monitor **implied volatility** and dynamically adjust positions to capitalize on anticipated market movements.
AlgoTest’s platform provides tools to analyze and refine this strategy, helping traders optimize their risk-to-reward ratios.
***
## Conclusion
The **Long Straddle** is a powerful strategy for betting on volatility without needing to predict the market’s direction. While the potential for **unlimited gains** is attractive, traders must be mindful of **time decay** and ensure they have a solid plan for managing risk.
By leveraging **AlgoTest’s automation and analysis tools**, traders can enhance the effectiveness of the Long Straddle, enabling precise execution and improved performance.
---
// File: financial-education/options-strategies/09-short-straddle
# The Short Straddle
The **Short Straddle** is a neutral options strategy designed to profit from **minimal price movement** in the underlying asset. It involves selling both a **call option** and a **put option** at the same strike price and expiration date. The goal is to collect premiums and profit if the asset remains near the strike price. However, the risk becomes **unlimited** if the asset makes a significant move in either direction.
***
## How It Works
1. **Sell a Call Option**:
- Collect a premium but risk **unlimited loss** if the price rises sharply.
2. **Sell a Put Option**:
- Collect another premium but risk **significant loss** if the price drops sharply.
3. **Net Credit**:
- The total premium received represents the **maximum profit** if the asset stays close to the strike price.
## Short Straddle on AlgoTest
Go to [AlgoTest’s Strategy Builder](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals) to get started. You will see an interface as shown in the image below.
***
Go to **Settings** and select **Spot** to run the strategy.
***
From the **Option Chain**, we just have to:
- **Sell 1 lot of ATM call options**
- **Sell 1 lot of ATM put options**
Click the **Buy/Sell** button as shown in the image below.
***
After that, you can deploy it on your broker in one click by clicking the **Live Trade With** button as shown in the image below. Alternatively, you can **forward test (paper trade)** it on AlgoTest if you don’t want to deploy it with real money.
***
## Example
Suppose a stock is trading at **₹100**:
- Sell a **₹100 strike call** for **₹5**.
- Sell a **₹100 strike put** for **₹5**.
### Total Premium Collected:
- ₹5 (call) + ₹5 (put) = **₹10**.
### Profit Scenarios:
- If the stock price remains **near ₹100** at expiration, you keep the ₹10 premium as profit.
### Loss Scenarios:
- If the stock price moves **significantly** above or below ₹100, losses can become **substantial** because there is no cap on risk.
***
## When to Use It
- **Market Outlook**:
- Best suited for periods of **low volatility** where you expect the asset price to remain stable.
- **Range-Bound Conditions**:
- Effective when the asset is trading within a **narrow range**.
***
## Advantages and Disadvantages
### Advantages
- **Income Generation**:
- Collect **premiums** from selling both options.
- **High Profit Potential**:
- Maximum profit is achieved when the asset stays close to the strike price.
### Disadvantages
- **Unlimited Risk**:
- Large price movements in either direction can result in **significant losses**.
- **Capital-Intensive**:
- High **margin requirements**, making the strategy **capital-intensive**.
***
## Practical Application for AlgoTest Users
**AlgoTest** simplifies executing and managing the **Short Straddle** strategy:
- **Automation**: Automate the execution of the strategy and monitor positions in real-time.
- **Risk Management**: Set up alerts to quickly adjust positions if volatility spikes unexpectedly.
- **Backtesting**: Analyze historical performance to understand how the strategy behaves under various market conditions.
With AlgoTest, traders can ensure better control, timely adjustments, and improved decision-making when deploying the Short Straddle.
***
## Conclusion
The **Short Straddle** is a premium-collecting strategy that can be highly profitable in stable, low-volatility markets. However, the **unlimited risk** makes it essential for traders to remain vigilant and have a clear plan for managing losses if market volatility increases.
By leveraging **AlgoTest** to automate, monitor, and backtest the strategy, traders can manage risks more effectively and improve their overall trading efficiency.
---
// File: financial-education/options-strategies/10-long-short-strangle
# The Long and Short Strangle
The **Long Strangle** and **Short Strangle** strategies are options techniques used for trading based on expectations of significant price movement or stability.
***
## Long Strangle
This strategy involves buying a **call** and a **put option** at **different out-of-the-money strike prices**, anticipating **high volatility**.
- **Profit Potential**: Unlimited if the asset moves sharply in either direction.
- **Maximum Loss**: Limited to the premiums paid if the asset remains stable.
***
## Short Strangle
This strategy involves selling a **call** and a **put option** at **different out-of-the-money strike prices**, collecting premiums with the expectation of **low volatility**.
- **Profit Potential**: Limited to the premiums collected.
- **Risk**: Unlimited if the asset moves significantly outside the strike prices.
***
## How It Works
1. **Long Strangle Setup**:
- Buy an out-of-the-money **call** and an out-of-the-money **put**.
- Profit is achieved if the asset moves **significantly** in either direction.
2. **Short Strangle Setup**:
- Sell an out-of-the-money **call** and an out-of-the-money **put**.
- Profit is achieved if the asset remains **range-bound**.
## Long Strangle on AlgoTest
Go to AlgoTest’s Strategy Builder by clicking on [this link](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals). You will get an interface as shown in the image below.
***
Go to **Settings** and select **Spot** to run the strategy.
***
From the **Option Chain**, we just have to:
- **Buy 1 lot of OTM call options**
- **Buy 1 lot of OTM put options**
Click the **Buy/Sell** button as shown in the image below.
***
After that, you can deploy it on your broker in one click by clicking the **Live Trade With** button as shown in the image below. Alternatively, you can **forward test (paper trade)** it on AlgoTest if you don’t want to deploy it with real money.
## Short Strangle on AlgoTest
Go to AlgoTest’s Strategy Builder by clicking on [this link](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals). You will get an interface as shown in the image below.
***
Go to **Settings** and select **Spot** to run the strategy.
***
From the **Option Chain**, we just have to:
- **Sell 1 lot of OTM call options**
- **Sell 1 lot of OTM put options**
Click the **Buy/Sell** button as shown in the image below.
***
After that, you can deploy it on your broker in one click by clicking the **Live Trade With** button as shown in the image below. Alternatively, you can **forward test (paper trade)** it on AlgoTest if you don’t want to deploy it with real money.
***
## Examples
### Long Strangle Example
Suppose a stock is trading at **₹100**:
- **Buy** a ₹110 strike **call** for **₹2**.
- **Buy** a ₹90 strike **put** for **₹2**.
- **Total Cost**: ₹4.
### Outcomes:
- If the stock price **rises above ₹114** or **falls below ₹86**, you start making a profit.
- If the stock remains between **₹90 and ₹110**, your **maximum loss** is the **₹4 premium paid**.
***
### Short Strangle Example
Using the same stock at **₹100**:
- **Sell** a ₹110 strike **call** for **₹2**.
- **Sell** a ₹90 strike **put** for **₹2**.
- **Total Premium Collected**: ₹4.
### Outcomes:
- If the stock price stays between **₹90 and ₹110**, you keep the **₹4 premium** as profit.
- If the price moves **outside this range**, losses can become significant.
***
## When to Use These Strategies
- **Long Strangle**:
- Use when expecting **significant volatility** but unsure of the direction.
- Ideal before events like **earnings announcements** or major economic news.
- **Short Strangle**:
- Apply when expecting **stability** and minimal price movement.
- Suitable for **low-volatility markets** or range-bound conditions.
***
## Advantages and Disadvantages
### Long Strangle
**Advantages**:
- Unlimited **profit potential** if the market moves sharply.
- Risk is **limited** to the premiums paid.
**Disadvantages**:
- Losses occur if the market remains **stable**.
- Can be **expensive** due to time decay (Theta).
### Short Strangle
**Advantages**:
- Generates **income** from premiums.
- Effective in **stable markets**.
**Disadvantages**:
- Risk of **unlimited losses** if the market moves sharply.
- Requires **significant margin** due to potential risks.
***
## Practical Application for AlgoTest Users
AlgoTest simplifies executing and managing both **Long** and **Short Strangle** strategies:
- **Automation**: Automate the setup, execution, and monitoring of these strategies.
- **Backtesting**: Analyze historical performance to fine-tune strike prices and expirations.
- **Volatility Indicators**:
- For **Long Strangle**: Use volatility indicators to time entries effectively.
- For **Short Strangle**: Monitor **market conditions** and **implied volatility** to manage risk.
- **Real-Time Monitoring**: AlgoTest helps track performance dynamically, allowing for quick adjustments.
***
## Conclusion
The **Long and Short Strangle** are powerful options strategies for different market conditions:
- **Long Strangle**: Ideal for betting on **volatility**.
- **Short Strangle**: Effective in **stable markets**.
Using **AlgoTest**, traders can **automate**, **backtest**, and **optimize** these strategies, ensuring better execution and risk management. By leveraging tools like AlgoTest, traders can enhance their performance and capitalize on market opportunities with confidence.
---
// File: financial-education/options-strategies/11-max-pain-put-call-ratio
# Max Pain Theory and the Put-Call Ratio (PCR)
This chapter explains two essential tools for options trading analysis: **Max Pain Theory** and the **Put-Call Ratio (PCR)**.
***
## Max Pain Theory
The **Max Pain Theory** suggests that the price of the underlying asset will gravitate toward a point where the total pain (losses) for option holders is **minimized**, and for option writers is **maximized** at expiration. This point is called the **"Max Pain" price** and is often used to anticipate price movement near expiry.
***
## Put-Call Ratio (PCR)
The **Put-Call Ratio (PCR)** is a **sentiment indicator** calculated by dividing the number of traded put options by call options.
- A **high PCR** indicates **bearish sentiment**.
- A **low PCR** suggests **bullish sentiment**.
***
## How It Works
1. **Max Pain Calculation**:
- Aggregate the total loss for all outstanding call and put options at each price level.
- Identify the price where the least amount of loss occurs (the "Max Pain" price).
2. **PCR Analysis**:
- Evaluate the ratio of puts to calls over time to gauge **market sentiment shifts**.
***
## Examples
### Example for Max Pain
Imagine a stock trading at **₹100**. By calculating Max Pain, you may find that the **maximum loss for option holders** is minimized at **₹95**. This could imply that the stock will drift toward **₹95** as expiration approaches.
### Example for PCR
- If the **PCR value** is **1.5**, it suggests that **more puts** are being traded than calls, indicating a **bearish outlook**.
- If the **PCR value** is **0.5**, it means **more calls** than puts are being traded, suggesting a **bullish sentiment**.
***
## When to Use These Tools
- **Max Pain**: Best used around **options expiration** to anticipate potential price moves.
- **PCR**: Useful for assessing **overall market sentiment** and identifying potential **reversals**.
***
## Advantages and Disadvantages
### Max Pain
**Advantages**:
- Helps predict **price behavior** near expiration.
**Disadvantages**:
- Not always reliable due to market **manipulation** or unexpected events.
### PCR
**Advantages**:
- Provides a **quick gauge** of market sentiment.
**Disadvantages**:
- Can be **misleading** in highly volatile markets.
***
## Practical Application for AlgoTest Users
With **AlgoTest**, you can incorporate **Max Pain** and **PCR** into your trading strategies:
- **Automated Alerts**: Set alerts for specific PCR values to identify sentiment shifts quickly.
- **Expiry Strategies**: Integrate **Max Pain analysis** into options expiry strategies.
- **Data Analytics**: Use AlgoTest’s powerful analytics tools to refine these indicators for **more accurate insights**.
***
## Conclusion
Understanding **Max Pain** and **PCR** can add depth to your options trading strategies:
- **Max Pain** provides clues about potential price movements near expiry.
- **PCR** helps gauge **market sentiment** and possible reversals.
With **AlgoTest**, traders can **automate**, **backtest**, and **refine** these tools to make **data-driven decisions** that **maximize returns** and **minimize risk**.
---
// File: financial-education/options-strategies/12-iron-condor
# Iron Condor
The **Iron Condor** is an advanced, market-neutral options strategy that profits from **low volatility**. It involves four options: selling an out-of-the-money **call** and an out-of-the-money **put** while simultaneously buying a further out-of-the-money **call** and **put** to limit potential losses. The strategy earns **maximum profit** if the underlying asset remains **between the two middle strike prices** at expiration. However, if the price moves outside this range, **losses are capped**.
***
## How It Works
1. **Sell an Out-of-the-Money Call and Put**:\
Collect premiums, profiting if the price stays within a defined range.
2. **Buy Further Out-of-the-Money Call and Put**:\
Limit potential losses if the price breaks out significantly in either direction.
3. **Net Credit**:\
The strategy results in a net credit, which is the **maximum profit** if the underlying asset stays stable.
# Iron Condor
Go to AlgoTest’s Strategy Builder by clicking on [this link](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder). You will get an interface as shown in the image below.
***
Go to **Settings** and select **Spot** to run the strategy.
***
From the **Option Chain**, set up a short strangle by:
- Selling a slightly OTM Call and Put option
- Buying a further OTM Call
- Buying a further OTM Put
Click the **Buy/Sell** button as shown in the image below.
***
After that, you can deploy it on your broker in one click by clicking the **Live Trade With** button as shown in the image below. Alternatively, you can **forward test (paper trade)** it on AlgoTest if you don’t want to deploy it with real money.
***
## Example
Assume a stock is trading at **₹100**:
- You **sell** a **₹90 put** for ₹2 and a **₹110 call** for ₹2.
- You **buy** a **₹80 put** for ₹1 and a **₹120 call** for ₹1.
This results in a **net credit of ₹2**.
- If the stock stays between **₹90 and ₹110**, you **keep the ₹2 premium**.
- If the price moves **beyond ₹80 or ₹120**, your **maximum loss** is capped at **₹8** (the difference between the strikes minus the credit received).
***
## When to Use It
- **Market Outlook**: Best used in **stable markets** with low expected volatility.
- **Low Volatility**: Profits from minimal price movement over the strategy’s duration.
***
## Advantages and Disadvantages
### Advantages
- **Generates income** from premiums.
- **Limited risk**, making it safer than selling naked options.
### Disadvantages
- Profits are **capped**, and the strategy underperforms in **highly volatile markets**.
- Requires **careful monitoring** as expiration approaches.
***
## Practical Application for AlgoTest Users
AlgoTest makes it easy to **automate** the **Iron Condor** strategy and analyze market conditions for **optimal execution**.
- **Backtesting Tools**: Simulate historical performance to evaluate the strategy.
- **Real-Time Monitoring**: Adjust positions dynamically if volatility unexpectedly increases.
By automating and fine-tuning the Iron Condor, AlgoTest ensures your strategy remains **efficient** and **well-managed**.
***
## Conclusion
The **Iron Condor** is a versatile strategy for generating **income in low-volatility markets**. By using **AlgoTest**, you can:
- Set up the strategy seamlessly.
- Automate execution and management.
- Refine your approach through backtesting and real-time adjustments.
This allows you to capitalize on **stable market conditions** while effectively managing risk.
---
// File: getting-started/join-telegram
# Join AlgoTest's Algo Trading Telegram Channels
:::tip
Aftеr logging in, join thе **AlgoTеst Tеlеgram customer support group and channеl**.
***
This is optional, but highly recommended, as you can gеt updatеs, support, and fееdback from thе AlgoTеst tеam and community of **16K+ algo traders (and counting).**
:::
## AlgoTest Telegram Channels
AlgoTest has *three Telegram channels* with over **16K+ Active Traders** in the community. We highly recommend joining these channels as the insights and support will make your trading journey smooth and hassle-free.
### [1. AlgoTest - Realtime Execution Helpline](https://telegram.me/AlgoTest_In)
If you need support regarding AlgoTest or any of its features then join our **Telegram channel**.
***
[**Click here to join.**](https://telegram.me/AlgoTest_In)
### 2. [AlgoTest - Realtime Updates](https://t.me/AlgoTestUpdate)
For real-time market and AlgoTest updates, we highly recommend you sign up for this channel.
***
If something goes wrong, you will find the answers here first!
***
[**Click here to join.**](https://telegram.me/AlgoTestUpdate)
### 3. [AlgoTest - Signal Support](https://t.me/algotest_signals)
If you wish to automate your TradingView strategies, then here is where you should start.
***
Get active support on how to use [AlgoTest's Signals.](https://algotest.in/signals)
***
[**Click here to join.**](https://telegram.me/algotest_signals)
### 4. [AlgoTest - ClickTrade Support](https://t.me/AlgoTest_Discretionary)
If you need support to learn about ClickTrade (Manual) Trading on AlgoTest, this is where you should start. Get support for using [Strategy Builder](https://algotest.in/strategy-builder) and [Simulator.](https://algotest.in/simulator)
***
[**Click here to join.**](https://t.me/AlgoTest_Discretionary)
### [ 5. AlgoTest - Crypto Support](https://t.me/Algotest_crypto)
If you need support to learn about crypto trading on AlgoTest, this is where you should start.
[**Click here to join**](https://t.me/Algotest_crypto)
**Join the AlgoTеst Tеlеgram channels to gеt regular Feature updatеs, Rеlеasе Notеs, Livе markеt Notifications and othеr important announcеmеnts. Get answers to any trading related quеriеs.**
---
// File: getting-started/index
## Signing up to AlgoTest
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
:::tip
Visit the [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) website and enter your name, mobile number, password, and if you have a referral code (not required for signup).
:::
Next, click on **Get 25 Free Backtests**. It will send an **OTP** to your mobile number. Enter the **OTP** that’s been sent to your mobile.
**This will complete the sign-up process.**
---
// File: getting-started/verify-email
# Verify Email
#### Aftеr crеating an account, you nееd to add your еmail addrеss.
- Click on the **user icon** in the top right corner and then click on the **profile** button.
- Click on **Add Email** and enter your email address. Then click on send link.
- You will get a **verification email in your mail**.
***
Click on verify. Your Email is now verified on the AlgoTest account.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
---
// File: getting-started/buy-plan
# Buy a plan
[AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) has a wallet system for purchases. First you need to buy AlgoTest credits and then you can use the credits to purchase different plans like [Backtest](https://algotest.in/feature/backtest?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=backtest), [Forward Test](https://algotest.in/feature/forward-test?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=forward-test) and [Live Execution](https://algotest.in/feature/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=live) etc.
***
**For example**, if you wanted to deploy a strategy live on AlgoTest:
***
**I Step**
***
Purchase credits on AlgoTest.
***
**II Step**
***
Then use the credits to buy a live execution plan.
## Understand AlgoTest Pricing
1. [Detailed breakdown of Pricing on AlgoTest](https://algotest.in/blog/detailed-pricing-information-for-algotest/)
2. [Basic overview of Pricing on AlgoTest](https://algotest.in/blog/pricing)
:::tip
**You can game the AlgoTest pricing system if you understand it well!**
***
Read the fineprint about how our **Pro-rata system** works to learn more!
:::
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
To purchase credits click on the pricing button on top right corner in AlgoTest. [Or click here.](https://algotest.in/billing?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product\&utm_term=billing)
## AlgoTest Offers FIVE Credit Plans
:::info
### Starter Plan
**Cost** : ₹499
***
**Credits**: 500
***
**Cost per credit**: ₹1
***
Thе Startеr plan costs ₹499 and givеs you accеss to 500 crеdits.
### Explorer Plan
**Cost**: ₹999
***
**Credits**: 1100
**Cost per credit**: ₹0.91
***
Thе Explorеr plan costs ₹999 and givеs you accеss to 1100 crеdits.
### Pro Plan
**Cost**: ₹2499
***
**Credits**: 3000
***
**Cost per credit**: ₹0.83
***
Thе Pro plan costs ₹2499 and givеs you accеss to 3000 crеdits.
### Advanced Plan
**Cost**: ₹5999
***
**Credits**: 7500
***
**Cost per credit**: ₹0.8
***
Thе Prеmiеr plan costs ₹5999 and givеs you accеss to 7500 crеdits.
Click on the Buy Plan button to purchase the plan of your choice and choose a payment method. Then click on pay now.
## Ultimate Plan - Best Value
- **Cost:** ₹14,999
- **Credits:** 20,000
- **Cost per credit:** ₹0.75
The **Ultimate Plan** costs **₹14,999** and gives you access to **20,000 credits** at just **₹0.75 per credit**—our lowest credit price.
Since live strategy execution requires **100 credits per strategy per month**, you pay just **₹75 per strategy per month** instead of the standard **₹100 per strategy per month**. This helps you reduce your execution costs while scaling your trading.
## **Your AlgoTest Credits never expire.**
***
You can use them anytime in your lifetime. You can check them in the profile page by clicking on the profile button. You can also check your credit transaction history and payment history there.
:::
Credits will begin reflecting in your account after a successful purchase.
Now you have credits in your account. You can use them to get the [backtesting](https://algotest.in/feature/backtest), [forward testing](https://algotest.in/feature/forward-test), live execution, or signal bridge plan. To purchase any plan, just go to your profile, then click on buy backtest or buy plans.
After buying a plan your credits will be debited from your account. The given plan will be activated on your account.
***
If there are any remaining credits, you can use them anytime in the future to buy a plan.
You can also check your purchase history (both payments made and credits spent) at any time through the **Payment History** and **Credit Transactions** links on the Profile Page.
In case you have any questions regarding pricing, please reach out to us on our [Telegram Helpline](https://t.me/AlgoTest_In).
---
// File: getting-started/pricing-breakdown/backtest-plan
# [BackTesting Plans](https://algotest.in/feature/backtest?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=backtest)
AlgoTest offers its users 25 free backtests every week on Monday. If you want to upgrade this limit you can [buy a backtesting plan.](https://algotest.in/billing?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product\&utm_term=billing)
***
You can buy a backesting plan in the profile section by clicking on **Backtest** in the **Plans and Pricing section**.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
## Limited Backtest Plan
:::info
**You get 100 backtests for 100 credits.**
:::
This plan gives you access to do 100 backtests on your strategies for a cost of 100 credits.
***
**This plan has no expiry so you can use these 100 backtests whenever you want.**
You can also buy backtests in multiples of 100. For example, if you want **500 backtests** then it will cost you **500 credits**.
### How to buy the Limited Backtest Plan
- Click on **Add More Backtests** under Backtesting Plan in the profile section.
***
- Then select Limited and click on buy 100 backtests for 100 credits.
It will deduct **100 credits** from your account and you will get 100 backtests to backtest your strategies.
## 7 Day Unlimited Backtest Plan
:::info
You get **unlimited backtesting for 7 days** under this plan for **599 credits**.
***
This plan will **expire in 7 days**.
:::
### How to buy a 7 Day Unlimited Backtest Plan
- Click on Add More Backtests under Backtesting Plan in the profile section.
- Then select Unlimited and click on Buy for 599 credits.
It will deduct **599 credits** from your account, and you will get unlimited backtesting for 7 days.
## 30 Days Unlimited Backtesting Plan
:::info
You get **unlimited backtesting for 30 days** under this plan for **1599 credits**.
***
This plan will **expire in 30 days**.
:::
### To buy a 30-day Unlimited backtest plan
- Click on Add More Backtests under Backtesting Plan in the profile section.
- Then Select Unlimited and click on buy for 1499 credits.
***
It will deduct **1499 credits** from your account and you will get unlimited backtesting for 30 days.
---
// File: getting-started/pricing-breakdown/execution-plan
# [Execution Plans](https://algotest.in/feature/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=live) on AlgoTest
[AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) gives you the ability to automate your trading strategies using algorithmic trading.
You can [forward test](https://algotest.in/feature/forward-test?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=forward-test) your strategy, or you can [deploy it live](https://algotest.in/feature/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=live).
To deploy your strategy live or paper trade, you need to [buy an execution plan](https://algotest.in/billing?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product\&utm_term=billing).
You can buy an Execution plan in the profile section by clicking on Buy Plan under the Algo Trading Plan.
[: For any queries, reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
## **Live Execution Plan**
:::info
You can deploy your strategy live on AlgoTest using this Live Execution Plan.
***
It will cost **100 credits to deploy ANY ONE of your strategies live for 28 days**.
:::
You can also upgrade it. It will cost **100 credits per strategy for 28 days.**
*For example*, if you want to deploy 5 strategies, it will cost you 500 credits to deploy your 5 strategies for 28 days.
### How to buy a Live Execution Plan
- Click on **Buy Plan** under **Execution Plan** in the profile section.
- Then enter the number of [Algo Execution](https://algotest.in/feature/live) you want under Add Limit in the Algo Execution (Live) and click on Get Limit.
It will deduct credits from your account and activate your live execution plan.
## **Forward Test Plan**
:::info
You can also deploy your strategy on Algotest for paper trading using the Forward Test Plan.
It will cost **50 credits to deploy any one of your strategies for paper trading for 28 days**.
:::
You can also upgrade it. It will cost **50 credits per strategy for 28 days**.
*For example*, if you want to deploy 5 strategies for forward testing, it will cost you 250 credits to deploy those 5 strategies for 28 days.
### How to buy a Forward Testing plan
- Click on Buy Plan under the Execution Plan in the profile section.
- Then enter the number of Forward Test you want under Add Limit, and then click on Get Limit.
It will deduct credits from your account and activate your Forward Testing plan.
### Conclusion
AlgoTest’s Execution Plans give you the flexibility to move seamlessly from strategy creation to real-world validation and deployment. Whether you want to **paper trade strategies through forward testing** or **execute them live in the market**, you can choose a plan based on your trading needs and scale it as your strategy portfolio grows.
---
// File: getting-started/pricing-breakdown/signals-plan
# [Signals](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals) Plan on AlgoTest
## Signals Plans
We have two kinds of plans for our product Signals.
***
Each plan of Signals offers :
- **UNLIMITED Algo Trade\***
- **UNLIMITED FORWARD TESTS\*!**
> *\* means 100 concurrent executions allowed on Forward Test and 50 Algo Trade on Signals.*
### **₹1599 for 1 Month (30 Days)**
For ₹1599, you will be able to use Signals for 30 Days and you will also receive **UNLIMITED Algo Trades\* and Forward Tests\* INCLUDED WITH THE PLAN!**
> *\* means 50 concurrent executions allowed on Forward Test and 50 Algo Trade Signals.*
### **₹6999 for 6 Months (180 Days)**
For ₹6999, you will be able to use Signals for 180 Days (6 Months) and you will also receive **UNLIMITED Algo Trade\* and Forward Tests\* INCLUDED WITH THE PLAN!**
> *\* means 50 concurrent executions allowed on Forward Test and 100 Algo Trade on Signals.*
### Backtesting is included on both plans
- **1 Month Plan:** **5 Signals backtests every week**, resetting every Monday.
- **6 Month Plan:** **Unlimited** Signals backtesting.
This quota is separate from the free weekly backtests every AlgoTest account gets for time-based strategies, and there's no way to buy extra Signals backtests separately - the only way past 5/week is to upgrade to the 6 Month plan. See the full breakdown in [Signals AI Pricing & Plans](https://docs.algotest.in/Signals-AI/Pricing/).
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
---
// File: getting-started/pricing-breakdown/ClickTrade-plan
# [ClickTrade Pricing](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder)
## ClickTrade Plans
We offer three types of plans for ClickTrade (formerly known as Discretionary) Trading on AlgoTest.
### 1 Month Plan (30 Days)
- Credits Required: 499
- Discount: None
### 6 Month Plan (180 Days)
- Credits Required: 2499
- Discount: 20%
### 12 Month Plan (365 Days)
- Credits Required: 3999
- Discount: 30%
---
// File: getting-started/pricing-breakdown/index
import Iframe from "../../../src/components/Iframe";
# Pricing Breakdown (Buy A Plan)
AlgoTest Offers its users a big range of trading tools to advance their trading skills to advance level. From backtesting a strategy to deploying their strategy on live, traders can do everything on AlgoTest. Lets understand pricing structure of all the features AlgoTest provides.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
## AlgoTest provides FIVE types of plans
- [: Backtesting Plan](https://docs.algotest.in/getting-started/pricing-breakdown/backtest-pricing/)
- [: Execution Plan](https://docs.algotest.in/getting-started/pricing-breakdown/execution-plans-algotest/)
- [: Signal Bridge Plan](https://docs.algotest.in/getting-started/pricing-breakdown/signals-pricing/)
- [: ClickTrade Plan](https://docs.algotest.in/getting-started/pricing-breakdown/ClickTrade-pricing/)
### **What does Live Dеploymеnt mеan?**
This option allows you to deploy your trading strategy in the live market. Whеn you choosе this option, AlgoTеst monitors thе strategy entry and exit conditions in real-time and will execute the order in your broker terminal.
### **What does Forward Test (Paper Trade) mean?**
Forward tеsting or paper trading mеans trading with virtual money using slightly delayed LIVE markеt data. You can see your trades and PnL in AlgoTest, but you will not need any broker for forward testing.
---
// File: mcp/index
# AlgoTest MCP Overview
The AlgoTest MCP lets you pull AlgoTest market data - historical candles, option Greeks, and instrument lists directly into an AI assistant like Claude, so you can analyse it in plain English instead of writing code.
## What is MCP?
MCP (Model Context Protocol) is an open standard that lets AI assistants connect to external data sources. Once you connect the AlgoTest MCP to Claude, you can ask questions like *"Get me 5-minute candles for the NIFTY weekly ATM call for last week"* and Claude fetches the data from AlgoTest and analyses it for you. You never write an API call yourself.
## When to use this
Use the AlgoTest MCP when you want to explore market data conversationally - checking how a premium behaved on a given day, comparing Greeks across strikes, or testing an idea before you build it as a strategy. It is a data and research tool. It does not place orders, deploy strategies, or touch your broker account.
## What you can ask for
The MCP provides seven tools. You don't call these directly - Claude picks the right one based on your question. Knowing what exists helps you ask better questions.
| Tool | What it gives you |
| ----------------------------- | ------------------------------------------------------------------------------------------------------------ |
| `get_underlyings` | The list of all underlyings you can query (NIFTY, BANKNIFTY, stocks, and more). |
| `get_underlyings_info` | The same list, with details on which underlyings have futures and options. |
| `search_symbols` | Instrument tokens for a given underlying, filtered by type (cash, futures, options). |
| `get_ohlc_by_data_source` | Historical OHLC candles for cash, futures, or options. |
| `fetch_greeks_by_data_source` | Candle by candle Greeks for options: delta, theta, gamma, vega, rho, implied volatility, and implied future. |
| `list_skills` | Built in guides that teach the AI how to use the data tools correctly. |
| `get_skill` | The full content of any of those guides. |
### Data coverage
- **Timeframes:** 1 minute up to 1 month (`1m`, `5m`, `15m`, `30m`, `1h`, `2h`, `4h`, `6h`, `8h`, `12h`, `1d`, `3d`, `1w`, `1M`).
- **Instrument types:** cash, futures, and options.
- **Option selection:** by exact strike, strike type (ATM, OTM5, ITM3, and so on), premium, delta, straddle price, and more — the same selection logic you know from the AlgoTest backtester.
- **Strike resolution:** rolling (the strike re-resolves every candle) or fixed (the strike is pinned at a time you choose, such as 09:20, for the rest of the day).
:::warning History limit
Historical data is available for the **last 3 months only**. Requests with an older start date are rejected. If your analysis needs more history, please contact us on [support@algotest.in](mailto\:support@algotest.in) .
:::
## Example questions to try
Once connected, ask Claude things like:
- "List the underlyings available on AlgoTest MCP that have weekly options."
- "Fetch 5-minute OHLC for the BANKNIFTY monthly future for the last two weeks and summarise the trend."
- "Get the Greeks for the NIFTY weekly ATM straddle for yesterday and tell me how theta decayed through the day."
- "Compare the premium of the ATM call vs the OTM5 call on expiry day."
:::tip
Be specific about the underlying, instrument, timeframe, and date range in your question. Broad questions (for example, "show me all option symbols for NIFTY") return very large results that the AI may not handle well.
:::
## Next steps
- [Connect the AlgoTest MCP to Claude Desktop](./connect-claude-desktop)
---
// File: mcp/connect-claude-desktop
# Connect AlgoTest MCP to Claude Desktop
Connect the AlgoTest MCP to the Claude Desktop app once, and every new chat can pull AlgoTest market data on request.
## When to use this
Follow this page if you use Claude Desktop (Windows or Mac) and want AlgoTest data available inside your chats. If you are new to the MCP, read the [AlgoTest MCP Overview](index.mdx) first to see what data it provides.
## Before you start
- Download and install the [Claude Desktop app](https://claude.ai/download) and sign in.
- Keep your AlgoTest login details handy - you will sign in to your AlgoTest account (or create one) during the connection.
:::info It's free
The AlgoTest MCP is free - it does not need any paid AlgoTest plan. On the Claude side, custom connectors work on the free Claude plan too.
:::
## Add the connector
1. Open Claude Desktop and click the **Settings** icon.
2. Go to the **Connectors** section.
3. Click **Add custom connector**.
4. In **Name**, type `AlgoTest`.
5. In **Remote MCP server URL**, paste:
```
https://api.algotest.in/mcp
```
6. Click **Add**. You are redirected to the AlgoTest login page.
7. **Log in** to your AlgoTest account, or **sign up** if you don't have one yet.
8. On the authorization screen, approve the request to share your market data with Claude.
9. You are returned to Claude. In the Connectors list, confirm **AlgoTest** shows as connected.\
:::note
Approving the authorization only shares market data (candles, Greeks, instrument lists) with Claude. It does not share your broker credentials, positions, or strategies, and Claude cannot place orders or make changes in your AlgoTest account.
:::
## Test the connection
Start a new chat and ask:
> List the underlyings available on AlgoTest.
Claude should ask for permission to use the AlgoTest tool the first time. Click **Allow**, and you should get back a list of underlyings. If you do, you are set.
## Troubleshooting
| Problem | Fix |
| ---------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------ |
| Claude says it has no AlgoTest tools in a chat | Check that the AlgoTest connector is toggled **on** for that chat (click the tools icon in the chat input to see active connectors). |
| The connector stops responding mid-conversation | The connection can drop silently. Go to **Settings → Connectors**, toggle AlgoTest **off** and back **on**, then retry your question in the same chat. |
| "start\_date must be within the last 3 months" error | The MCP only serves the last 3 months of data. Move your date range forward, or use the backtester for older data. |
| A broad question fails or gets cut off | Narrow it. Ask for one underlying, one instrument type, and a specific date range rather than "all symbols". |
| The AlgoTest login or authorization step fails | Remove the connector from **Settings → Connectors**, add it again, and complete the login and authorization in one go. |
---
// File: platform-updates/index
Our team at AlgoTest is constantly innovating and trying to give you the best trading experience. In order to do so we take feedback, research, design, and develop products and updates as quickly as possible.
**New Regime Related Changes on AlgoTest**
## **Platform Updates**
### Important changes between 14 Nov - 20 Nov, 2024
As you know, post **20 Nov, 2024** weekly expiries for ***Banknifty, Finnifty, Bankex and Midcp*** are going to be discontinued.
Starting **14 Nov, 2024** we shall be making changes to the AlgoTest platform to help facilitate the new trading experience.
### Timeline :
> **14th November** - Changes begin on AlgoTest
***
> **20th November** - New Regime Rollout, Final AlgoTest changes
### List of Changes
#### Banknifty Algo Strategy Changes
**Last Weekly Expiry:** 13 Nov, 2024
***
**Weekly Expiry** - Will take trades in the Monthly Contract (27 Nov, 2024 for this month)
***
**Next weekly Expiry** - Cannot be activated
***
**Monthly Expiry** - No change
***
**Calendar Spreads** - DO NOT ACTIVATE!!
#### Finnifty Algo Strategy Changes
- No change till the last FINNIFTY expiry on **19 Nov, 2024**
#### Midcap & Bankex Algo Strategy Changes (Updated)
- You will be able to activate your strategies from **21st November, 2024.**
- Monthly Expiry Trading will start from **21 Nov, 2024**
:::note
1. **You do not need to make any changes to your strategies and portfolios yet.**
***
2\. **Changes to the backtester will be made on 20 Nov, 2024.**
***
3\. **There is NO CHANGE in the Nifty & Sensex indices.**
***
4\. **All changes on the website will be incorporated and communicated on 20 Nov, 2024.**
:::
**October 15, 2024**
> ## 10 More Stock Options on AlgoTest
AlgoTest can now be used to trade in Stock Options. Here's a list.
***
For more details [:click
here.](https://docs.algotest.in/#StockOptions)
### Current Stock Options List:
- RELIANCE (NSE)
- AXIS BANK (NSE)
- BAJAJ AUTO NSE
- BAJAJ FINANCE NSE
- HCL Technologies NSE
- HDFC Bank
- Infosys
- Polycab India
- TCS
- Tech Mahindra Limited
- UltraTech Cement
**September 26, 2024**
> ## Reliance Stock Options on Strategy Builder and Simulator
AlgoTest can now be used to trade in Stock Options - starting with Reliance Stock Options.
***
More to come in the future!
**September 25, 2024**
> ## Heatmaps on AlgoTest
We’re excited to announce the launch of our HeatMap feature, now live for Nifty, Finnifty, Banknifty, and Midcapnifty Short Straddles!
With 60 days of data at your fingertips, you can effortlessly visualise P\&L trends across various time slots throughout the trading day.
Customise your analysis with :
- Different Time Periods
- Stop-loss Settings
- 3 Modes for Heatmaps - Time vs SL, Date vs Time, & Date vs SL
- CE/PE split to see directional trends
[:Learn
more by clicking here.](https://docs.algotest.in/features/heatmap/)
> ## India VIX now available in Strategy Builder and Simulator
> ## Moneysukh Broker Integration
> ## Drawdown Bars on MTM Graph
> ## Replay Algo-Trades on Simulator
**Previous Updates**
> ## Stop Loss Available on Strategy Builder
You can now place stop-loss orders directly from the Strategy Builder for your open positions. No need to switch between platforms or worry about manual tracking—manage your risk directly within the Strategy Builder.
***
[:Find
out more here.](https://docs.algotest.in/strategy-builder/additional-information/stop-loss/)
> ## Multi API on AlgoTest
You can now link multiple APIs of your Broking account to the same account on AlgoTest!
***
[:Find
out more here.](https://docs.algotest.in/broker/multi-api/)
---
// File: platform-updates/Groww-is-Free
# Groww is Free | Algo Trading
\
[ For any queries, reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)\\
## Groww is FREE on AlgoTest
Algo execution is now free for all Groww users with AlgoTest.
- Execute Time-based / 920 strategies without credit
- No AlgoTest credits needed for execution
- Brokerage charges apply on Groww (₹20 per order)
- No 50% cash margin requirement
- Easy portfolio transfer — if you don’t have a Groww account yet, open one with(link), and you can move your holdings smoothly and hassle-free.
## What You’ll Need For Algo Trading with Groww
### AlgoTest Account
You need to have an AlgoTest account. If you don’t have an AlgoTest account, you can create it by clicking on this [link](https://algotest.in/).
### Groww Account
You need to have a Demat account with Groww. If you don't have an account, you can create one on[ Groww here](https://groww.in/?shortlink=ALGOTEST\&c=Groww_Algo_Algotest\&pid=Groww_Algo\&af_xp=custom\&source_caller=ui). Make sure to activate F\&O on your account.
## Connecting Groww with AlgoTest
Go to AlgoTest, log in to your account. Click on the Broker Setup at the top right.
You’ll see a dashboard as shown below. Put "Groww” in the search bar.
You will see the option to set up “Groww” as shown in the image. Click on the setup.
Follow the on-screen steps to complete the broker connection.
You have successfully added the Groww broker to your AlgoTest Account.
\
Multi-API is supported.\
## What’s FREE (and What’s Not)
### What’s Free
- Algo execution is free for Groww users on AlgoTest
- No AlgoTest credits are required to run strategies
- You can run unlimited Time-based / 920 strategies
### What’s Not Included
- RA Algos
- Forward Testing
- Signals-based Algo Trading
- ClickTrade Tools like Simulator & Strategy Builder \
\
AlgoTest provides free execution access; however, broker-side charges are always applicable.\
## FAQs
**1. Is Groww free on AlgoTest?**\
Yes. Algo execution is free for all Groww users on AlgoTest, and no AlgoTest credits are required.
**2. Do I still pay brokerage on Groww?**\
Yes. Groww brokerage is ₹20 per order, along with statutory charges.
**3. Can I run 920 / Time-based strategies on Groww?**\
Yes. Once your Groww account is connected, you can execute 920 / time-based strategies using AlgoTest.
**4. Do I need to buy AlgoTest credits for Groww execution?**\
No. No AlgoTest credits are needed for Groww execution.
**5. Do I need to create a new AlgoTest account and log in via Groww, or is my existing AlgoTest account enough?**\
Your existing AlgoTest account is enough. You simply need to connect Groww inside AlgoTest (via Broker Setup), and then you can execute strategies. No new AlgoTest account is required.
---
// File: platform-updates/Market Orders Banned
# **Market Orders Banned / Limit Order Execution Update (API Changes)**
Market orders have been disabled via API. Going forward, only limit orders will be allowed from API and[ AlgoTest.](algotest.in)
**What do you need to do?**
All users are required to **update their execution settings** for both **920 strategies** and **Signal strategies**.
Entry & Exit order type needs to be LIMIT.
After 31 March 2026, you will NOT be able to see Market order as an Entry or Exit order Type on AlgoTest.
If on 1 April, 2026, a strategy is activated with Market order in its execution settings, the strategy will go directly into error mode. So, it is better to make this change now.
Read carefully below on the appropriate execution settings.
## **Frequently Asked Questions (FAQs)**
## **1. What will happen after 1st April, 2026?**
**Answer:**\
In execution settings, only the **Limit Order** option will be available.\
The **Market Order option will be removed** from the dashboard, and users will no longer be able to select it.
### **2. What is the right way to set a limit order?**
**Answer:**\
Users must define an appropriate Limit **buffer** while placing limit orders. A low buffer may result in your limit order being skipped.
**Recommended buffer:**
- **Options:** Minimum **8–10%**
- **Cash & Futures:** Around **1%**
This helps ensure better execution.
### **3. How much time will the system chase the price if a Limit order is skipped?**
**Answer:**\
The system will chase the price for up to **50 seconds** to fill the order.
### **4. How does the chasing mechanism work and what will happen in the 50 secs?**
**Answer:**\
The chasing works as follows:
- Instrument: 25000 CE
- Order Type: Buy
- Trigger Buffer: 0 pts
- Limit buffer: 3 Pts
- LTP: Rs 100
Chasing during Entry:
- We will place a Limit order to buy at LTP + Limit Buffer = Rs 100 + 3 = Rs 103
- As soon as the system placed the order, the price jumped and reached Rs 110, and our Limit order was not filled.
- The system will check with the broker that the Limit order is not completed and will increase the price by the limit buffer or Current Limit Price + Limit buffer = Rs 103 + 3 = Rs 106. The system will keep modifying the order and increasing the limit price by the limit buffer for 45 secs till the order is filled.
- Chasing mechanism in our EXAMPLE will be Rs 103 -> 106 -> 109 -> 112 ->115 -> 118 and so on
- Limit Price modification happens every time your broker responds that the order is open so, it can happen many times within one sec
Chasing During Exit
- We have a Stop Loss Limit (SLL order) with Trigger price Rs 100 and Limit Price Rs 103
- As soon as the trigger price of Rs 100 was reached, the price jumped and reached Rs 110 and our Limit order was not filled.
- The system will check with the broker that the Limit order is not completed and will increase the price by the limit buffer or Current Limit Price + Limit buffer = Rs 103 + 3 = Rs 106. The system will keep modifying the order and increasing the limit price by the limit buffer for 45 secs till the order is filled.
- Chasing mechanism in our EXAMPLE will be Rs 103 -> 106 -> 109 -> 112 ->115 -> 118 and so on
- Limit Price modification happens every time
**IMPORTANT:** This is just an example of how chasing works on AlgoTest. Your price modification depends on your limit buffer and will be different from the Rs 3 price modification used in the example.
### **5. What will happen if the limit order is not filled within 50 seconds?**
**Answer:**\
If the order is not filled within **50 seconds of chasing**, the strategy will **throw an error** AND we shall CANCEL your pending Limit order. So there will be NO open limit order left in your broker’s order book.
**Example:** Let us say you wish to Buy a 25000 CE currently trading at Rs 100. As soon as you place the Limit order to buy, with a Limit price of Rs 105, the price spikes and reaches Rs 200. We will chase the price as per the chasing mechanism (Mentioned in Point 4). If after 50 secs, the order is not filled, this LIMIT order will be cancelled and the strategy will be put in ERROR state.
### **6. How will orders execute in Strategy Builder?**
**Answer:**\
In **Strategy Builder**, users must place orders using **Limit Order only**.\
**Market orders will not work**.
### **7. Will this affect my crypto strategies?**
**Answer:**\
Currently all the changes are being applied **platform WIDE** and users will only be able to use **LIMIT order**. Soon, we shall provide exchange-wise execution settings **where MARKET order will be allowed for Crypto.**
### **8. How does Exit by TARGET work?**
**Answer:**\
We will modify your Stop Loss Limit order into a Limit order and close the position.
**Example:** You have a Sell position on 25000 PE
- Entry Price: Rs 200
- Stop Loss: Rs 300
- Target: Rs 100
- Trigger Buffer: 0 Pts
- Limit Buffer: 3 Pts
- Stop Loss Limit Order: Trigger Price Rs 200, Limit Price Rs 203
- Once the LTP comes to Rs 100, we will convert this SLL order to a limit order to buy at a price = LTP + Limit Buffer = Rs 100 + 3 = Rs 103
- This is how it happens currently as well. **Even today, we DO NOT exit with a market order and cancel the SLL order.**
### **9. How does Time Based Entry work with Limit Orders?**
**Answer:** At the time of Entry, we place a limit order with the Limit price being determined based on the LTP and the Limit Buffer.
**Example 1:** Time based entry Option BUYING
- **Entry time:** 9:20 am
- **Instrument:** 25000 CE
- **Order Type:** Buy
- **LTP:** Rs 150
- **Trigger Buffer:** 0 Pts
- **Limit Buffer:** 3 Pts
- **Limit Price Sent @ 9:20 am:** LTP + Limit Buffer = Rs 150 + 3 = Rs 153
**Example 2:** Time Based entry Option SELLING
- **Entry time:** 9:20 am
- **Instrument:** 25000 CE
- **Order Type:** Sell
- **LTP:** Rs 150
- **Trigger Buffer:** 0 Pts
- **Limit Buffer:** 3 Pts
- **Limit Price Sent @ 9:20 am:** LTP - Limit Buffer = Rs 150 - 3 = Rs 147
### **10. How do OVERALL Settings like Overall SL/Target/Lock profit/Lock & Trail/Trail SL work?**
**Answer:** At the time when the Overall conditions are met, all the leg Stop Loss Limit (SLL) orders are converted to Limit orders to exit all the positions
**Example:** Straddle Sell with Rs 1300 Overall SL
- **Instrument:** 25000 CE & PE
- **Entry Price CE:** Rs 100
- **Entry Price PE:** Rs 90
- **Legwise SL:** 50%
- **Exit Trigger Buffer:** 0 Pts
- **Exit Limit Buffer**: 3 Pts
- **Stop Loss CE**: Trigger Price = 150, Limit Price = 153
- **Stop Loss PE:** Trigger Price = 135, Limit Price = 138
- **Overall SL:** Rs 1300 or 20 premium points
- **Once the Overall SL condition is met:** CE Price = 130 & PE price = 80
- **MTM Loss:** (100 + 90) - (130 + 80) = - 20 pts or Rs 1300
- **Convert SLL order to Limit Order: **
- **CE Limit Price:** Rs 130 + 3 = Rs 133
- **PE Limit Price:** Rs 80 + 3 = Rs 83
If the limit order is not filled, chasing takes place.
### **11. Does using Limit order increase slippages?**
**Answer: NOT AT ALL!** On the contrary, in most cases it leads to reduced slippages. Let us look at it case by case:
- **Time based Entry:** If you use an appropriate Limit buffer, your limit order will get filled and the prices you receive will be the best bid/ask price available, similar to a market order.
- **Momentum/range breakout/Re-cost based entry:** Using limit orders lead to reduced slippages. If you place a Stop Loss Limit order in advance on your broker terminal **(Which goes directly to the exchange NSE/BSE)** with your desired entry price, your slippages will reduce compared to if you use a market order. Market order is placed by AlgoTest after we receive the price from your broker on the pricefeed. This process is slower than if an advance order is already placed in the broker terminal **(Which goes directly to the exchange NSE/BSE)**.
- **Stop Loss based Exit:** Using limit orders lead to reduced slippages. Legwise SL places a limit order in advance in the broker terminal **(Which goes directly to the exchange NSE/BSE),** which leads to lower slippages compared to sending an exit order via market order when the price comes on the pricefeed.
- **Exit based on Target/Overall settings:** Your SLL orders in the broker terminal **(Which goes directly to the exchange NSE/BSE)** are modified into Limit orders and your exit happens. If you were always using Limit order as Exit order type, this was the mechanism even today.
In reality, most users are already using Limit orders to enter and exit even today. The slippages shall remain unaffected as long as the proper limit buffer is maintained.
### **12. Can I resume my strategy if the price is not filled and the strategy goes into error?**
**Answer:** Yes, you can resume your strategy. If your strategy goes into error after chasing the price for 45 secs, your limit order is cancelled. If you resume your strategy, we shall again start chasing the price from the CURRENT LTP at the time of resuming the strategy.
**Example:** The chasing works as follows:
- Instrument: 25000 CE
- Order Type: Buy
- Trigger Buffer: 0 pts
- Limit buffer: 5 Pts
- LTP: Rs 100
- Let us say you wish to Buy a 25000 CE currently trading at Rs 100. As soon as you place the Limit order to buy, with a Limit price of Rs 105, the price spikes and reaches Rs 200. We will chase the price as per the chasing mechanism (Mentioned in Point 4). If after 45 secs, the order is not filled, this LIMIT order will be cancelled and the strategy will be put in ERROR state.
- **Strategy Resumed**
- Current LTP = Rs 210
- Chasing now will start as per the new LTP. We shall place a Limit order to Buy at New LTP + Limit Buffer = 210 + 5 = Rs 215.
- If this order is not filled, chasing will start again
---
// File: platform-updates/Upstox is Free
[ For any queries reach out to us!](https://telegram.me/AlgoTest_In)
Enjoy premium execution features absolutely free when trading via Upstox with AlgoTest.
- Execute 920 Strategies & Portfolios on AlgoTrade
- Free live algo execution on AlgoTrade (no AlgoTest credits needed)
- ₹10 per order brokerage charges apply on Upstox
- Smooth & hassle-free portfolio transfer
:::note
Algo execution is free on AlgoTest for Upstox users.
:::
## **What You’ll Need For Algo Trading with Upstox**
### **AlgoTest Account**
You need to have an [AlgoTest account](https://algotest.in/). If you don’t have an AlgoTest account, you can create it by clicking on this link.
### **Upstox Account**
You need to have a Demat account with Upstox. If you don't have an account, you can create one on [Upstox here. ](https://upstox.com/open-demat-account/?f=7WAA3B)Make sure to activate F\&O on your account.
## **Connecting Upstox with AlgoTest**
Go to[ AlgoTest,](https://algotest.in/) log in to your account. Click on the Broker Setup at the top right.
You’ll see a dashboard as shown below. Put "Upstox” in the search bar.
You will see the option to set up “Upstox” as shown in the image. Click on the setup.
Follow the on-screen steps to complete the broker connection.
You have successfully added Upstox broker to your AlgoTest Account.
For more information: [https://docs.algotest.in/broker/upstox/#connecting-upstox-with-algotest](https://docs.algotest.in/broker/upstox/#connecting-upstox-with-algotest)
:::info
Multi-API is supported.
:::
## **What’s FREE (and What’s Not)**
### **What’s Free**
- Live algo execution on AlgoTrade is free
- No AlgoTest credits are required to run strategies
- You can execute 920 strategies and portfolios via AlgoTrade
### **What’s Not Included**
- Forward Testing
- Signals-based Algo Trading
- ClickTrade Tools like Simulator & Strategy Builder
- RA Algos
:::note
AlgoTest provides free execution access; however, broker-side charges are always applicable.
:::
## **FAQs**
**1. Is Upstox free on AlgoTest?**
Yes. Live algo execution on AlgoTrade is free for Upstox users on AlgoTest, and no AlgoTest credits are required.
**2. Do I still pay brokerage on Upstox?**
Yes. Upstox brokerage is ₹10 per order, along with statutory charges.
**3. Can I run 920 / Time-based strategies on Upstox?**
Yes. Once your Upstox account is connected, you can execute 920 strategies and portfolios using AlgoTrade.
**4. Do I need to buy AlgoTest credits for Upstox execution?**
No. Execution is free on AlgoTrade, and no AlgoTest credits are needed.
**5. Do I need to create a new AlgoTest account and log in via Upstox, or is my existing AlgoTest account enough?**
Your existing AlgoTest account is enough. You simply need to connect your Upstox broker inside AlgoTest (via Broker Setup), and then you can execute strategies through AlgoTrade. No new AlgoTest account is required.
---
// File: product-blogs/candle-close
# Candle Close Implementation on AlgoTest
## Candle Close on Re-entries
Now you have the feature to INITIATE: Re-entry conditions on [Candle Close](https://docs.algotest.in/product-blogs/options-trading-terms/#104CandlestickChartsCandles). They shall work as follows:
### Re-ASAP on SL/Tgt
Let's assume the SL/Tgt for a leg is hit at 10:02:25. Under the Candle Close feature, the Algo will wait till 10:02:59 to initiate your [Re-ASAP](https://docs.algotest.in/product-blogs/options-trading-terms/#104CandlestickChartsCandles) condition.
At 10:02:59, it shall determine the strike based on your [Strike selection](https://docs.algotest.in/features/leg-builder/#StrikeSelection) criteria and take the new trade.
### Re-Momentum on SL/Tgt
Let's assume the SL/Tgt for a leg is hit at 10:02:25. Under the Candle Close feature, the Algo will wait till 10:02:59 to initiate your Re-Momentum condition.
At 10:02:59, it shall determine the strike based on your Strike selection criteria and the Reference Price based on your [:Simple
Momentum](https://docs.algotest.in/features/leg/#SimpleMomentum) condition.
:::tip
You can find this option under **Advance Execution Settings.**
:::
## Implemented Features in Detail
:::warning
Candle close time (HH\:mm:59) will be decided after trade reporting to the backend.
***
That means it will be based on the Report Time of Leg Exit (not trigger time).
:::
| **Feature** | **LTP** | **Candle Close** |
| :---------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| [**:Re-Entry
ASAP & Re-ASAP Reverse**](https://docs.algotest.in/features/re-entry/#REASAPImmediateReEntry) | Say the SL/Tgt for a leg is hit at 10:02:25. Under the LTP feature, the Algo will immediately initiate your Re-ASAP condition. It will determine the strike based on your Strike selection criteria and take the new trade. | Say the SL/Tgt for a leg is hit at 10:02:25. Under the Candle Close feature, the Algo will wait till 10:02:59 to initiate your Re-ASAP condition. At 10:02:59, it shall determine the strike based on your Strike selection criteria and take the new trade. |
| [**:Re-Momentum
& Re-Momentum Reverse**](https://docs.algotest.in/features/re-entry/#REMOMENTUMReEntryOnMomentum) | Say the SL/Tgt for a leg is hit at 10:02:25. Under the LTP feature, the Algo will immediately initiate the Re-momentum condition. It will determine the strike based on your Strike selection criteria and the Reference Price based on your Simple Momentum condition. | Say the SL/Tgt for a leg is hit at 10:02:25. Under the Candle Close feature, the Algo will wait till 10:02:59 to initiate your Re-Momentum condition. At 10:02:59, it shall determine the strike based on your Strike selection criteria and the Reference Price based on your Simple Momentum condition. Strike will start monitoring on candle close. After strike selection, it will take entry immediately whenever the momentum condition is met and will not check for the candle close condition again. |
| [**:Re-Entry
at Cost**](https://docs.algotest.in/features/re-entry/#RECOSTReEntryAtCost) | Assume the 20 % SL (or Target) for a PE leg sold at Rs 100 is hit at 10:15:15. Under the LTP feature, the Algo will immediately initiate the Re-cost condition and place an advance order (Limit execution) to sell again at Rs 100. | Assume the 20% SL (or Target) for a PE leg sold at Rs. 100 is hit at 10:15:15 AM. Under the Candle Close feature, the Algo will wait until 10:15:59, after which it will start monitoring your Re-Cost condition and place an advance order (Limit execution) to sell again at Rs. 100. |
***
| **Overall Settings** | **LTP** | **Candle Close** |
| :---------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| [**: Strategy Level Overall SL, Overall Target**](https://docs.algotest.in/features/overall-strategy-settings/#OverallReEntryonSL) | Strategy level Overall SL/Target conditions are checked continuously on a LTP basis. For example, assume the overall SL for your strategy is MTM = Rs 5000. The strategy level loss reaches Rs 5000 at 12:20:10. The Algo will monitor your Overall conditions and square off your strategy immediately at 12:20:10. | Strategy level Overall SL/Target conditions are checked only on Candle Close. Assume the overall SL for your strategy is MTM = Rs 5000. At 12:20:10 the loss reaches Rs 5000 but reduces to Rs 4500 at 12:20:59. Under the candle close setting the Algo will check your overall SL condition on 59th second of every minute/candle close. Since the loss at 12:20:59 was Rs 4500 which is less than your strategy level overall SL, it will not exit the strategy. |
***
This is how the backtest engine checks the Overall strategy condition.| |[**:Overall
TSL**](https://docs.algotest.in/features/overall-strategy-settings/#OverallTrailSL)| Strategy level Overall TSL conditions are updated and checked continuously on a LTP basis. For example, assume the overall SL for your strategy is MTM = Rs 5000 and the associated TSL is Rs 100- Rs 100. The strategy initially made a profit of Rs 500 resulting in the overall TSL being updated to Rs 4500. Now the market reversed and the strategy went into a loss and at 12:20:10 the loss breached Rs 4500. The Algo will monitor your Overall conditions and square off your strategy immediately at 12:20:10.| Strategy level Overall TSL value is updated continuously but the TSL condition is checked on candle close. For example, assume the overall SL for your strategy is MTM = Rs 5000 and the associated TSL is Rs 100- Rs 100. The strategy initially made a profit of Rs 500 resulting in the overall TSL being updated to Rs 4500. Now the market reversed and the strategy went into a loss. At 12:20:10 the loss breached Rs 4500 but reduced to Rs 3500 at 12:20:59. Under the candle close setting, the Algo will check your overall TSL condition on 59th second of every minute/candle close. Since the loss at 12:20:59 was Rs 3500 which is less than your strategy level overall TSL, it will not exit the strategy. This is how the backtest engine checks the Overall strategy condition.| |[**:Lock
and Trail**](https://docs.algotest.in/features/overall-strategy-settings/#LockandTrail)|Lock profit/Lock & Trail condition is checked continuously on LTP basis and the exit trade is taken immediately. Assume your Lock Profit/ Lock and Trail value of Rs 3000 is breached at 12:20:05, the Algo will trigger the lock profit condition and square off all trades immediately at 12:20:05.|Lock profit/Lock and Trail condition is checked at candle close. Assume your Lock Profit/Lock and Trail value of Rs 3000 is breached at 12:20:05 but the profit increases to Rs 3500 by 12:20:59. Under the candle close setting, the Algo will check your Lock profit/Lock & Trail condition on the 59th second of every minute/candle close. Since the profit at 12:20:59 was Rs 3500 which is greater than your strategy level Lock profit value, it will not exit the strategy.|
***
### Stoploss Based on Premium % and Points:
- **LTP:** The stoploss is triggered in real-time, and the trade is executed immediately.
- **Candle Close:** Stoploss based on premium points or percentage does not work on a candle-close basis. However, if candle-close is selected, the execution behaves the same as LTP-based stoploss.
***
| **SL/Target/Momentum Based on Underlying** | **LTP** | **Candle Close** |
| :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| [**:Legwise
SL on Underlying**](https://docs.algotest.in/features/legwise-settings/#TrailSLtoBreakevenPrice) | Underlying SL is triggered and trade is taken as soon as the condition is met. | Underlying SL condition is checked on LTP but trade is taken at CANDLE CLOSE. For eg. the SL might be triggered at 9:30:35 but the trade will happen at 9:30:59. |
| [**:Legwise
Target on Underlying**](https://docs.algotest.in/features/leg/#Target) | Underlying Target is triggered and trade is taken as soon as the condition is met. | Underlying Target condition is checked on LTP but trade is taken at CANDLE CLOSE. For eg. the Target might be triggered at 9:30:35 but the trade will happen at 9:30:59. |
| [**:Simple
momentum on Underlying**](https://docs.algotest.in/features/leg/#SimpleMomentum) | Simple Momentum Underlying condition triggered and traded as soon as the condition is met. | Simple Momentum condition is checked on LTP but trade is taken at CANDLE CLOSE. For eg. the Momentum condition might be triggered at 9:30:35 but the trade will happen at 9:30:59. |
| [**:Re
Entry (All Kind) with SL/Target on Underlying**](https://docs.algotest.in/features/re-entry/#ReEntrytriggeredbySLorTarget) | Re-entry trade is taken as soon as the Underlying SL/Target is triggered. | Underlying SL/Target condition is checked on LTP but exit trade is taken at CANDLE CLOSE. For eg. the SL/Target might be triggered at 9:30:35 but the trade will happen at 9:30:59. The Re-entry trade is entered immediately after the SL/Target trade has been taken. |
| **[:Iron
Fly](https://docs.algotest.in/product-blogs/options-trading-terms/#62IronButterfly): 2 legs SL/Target based on Underlying, 2 Legs SL/Target based on points WITH SQUARE OFF COMPLETE** | All the legs of the strategy are squared off as soon as any of the SL/Target conditions are triggered. | **Condition 1**: Underlying SL/Target for a leg is triggered: All the other legs (3 legs) will exit on Candle Close (except the leg whose SL or Target has been hit). |
***
For eg. the underlying SL/Target for a leg might be triggered at 9:30:35 but all the legs will be squared off at 9:30:59.Condition 2: Leg with SL/Target based on points is triggered: All the 4 legs of this strategy will be exited on LTP or as soon as the point based SL/Target is triggered.|
## Update
In backtest if a candle includes both stop loss and target, then we chall consider it as follows
- If the open price is closer to the high then high is given the priority.
- If the open price is closer to the low, then low is given the priority.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
---
// File: product-blogs/how-does-algotest-define-candle
We often get queries from users about how we define the [:candle
](https://docs.algotest.in/product-blogs/options-trading-terms/#104CandlestickChartsCandles) at AlgoTest.
***"On Friday ( 24th Feb 2022) Enter Straddle at 9.20 with 40% SL and Re-Enter ASAP 2 times"***
As you can see in the above picture, the CE stop loss is hit at 9:54am, and the CE leg is re-entered with a new [:strike
](https://docs.algotest.in/product-blogs/options-trading-terms/#9StrikePrice) at 9:54am (since the user has selected [:Re-enter
ASAP](https://docs.algotest.in/features/re-entry/#REASAPImmediateReEntry)) with a new strike price. The new entry price is Rs 617.95.
Now when the user checked the same 9:54am candle on [:Generic
Broker](https://docs.algotest.in/broker/genericbroker/), they saw
***"But if I look at the Close Price of 36500 CE at 9.54 , its 586.45. Generic Broker Close Price -- 586.45 Algotest Close Price -- 617.95"***
## So why the difference?
In Generic Broker, the 9.15am candle refers to the time covering 9:15:00-9:15:59.
**How does AlgoTest define this candle?** In AlgoTest, this timespan refers to the 9.16 candle. So when we say 9:54am, the price you see on AlgoTest was Rs. 617.95, which corresponds to the close price of the 9:53 candle on Generic Broker, which was Rs. 620, **a lot closer to the price you see on AlgoTest!**
Here is the screenshot of the Generic Broker candle :
**Q\:Now
that we know that the 9:19 candle in Generic Broker corresponds to the 9:20 candle in AlgoTest.What does that mean for my 9:20 straddle entry?**
**Answer**: *Entry at 9:20am on AlgoTest will correspond to 9:19am candle close price on Generic Broker.*
**Q: Does this 1-second difference matter?**
**Answer**: *If you are trading manually, or using broker API to trade, it doesn't.*
Hopefully, this gives you an idea of how data is represented on AlgoTest. Do check out our [**website**](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) to learn more about options trading in India and how we can improve our trading by backtesting!
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
---
// File: product-blogs/backtest-sl-mismatch
Since we have started [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest), we've received countless messages from users asking how its possible that their backtest loss is higher than stop loss value?
Specifically, the questions take this form:
1. **"How is it possible to have a loss greater than the SL that I put in my strategy?"**
2. **"If the leg-wise SL I put is 20 points, how is it possible to have a loss of 100 points??"**
3. **"My overall MTM SL was Rs. 5500, how can your platform show loss of Rs. 9000? Is there a bug in your platform?"**
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
The answer is the same for backtests and the real world -- **yes it is possible! And no, it's not a bug!**
We would even go a step further and say, not only is it possible, **but it is inevitable**, in the fictional world of backtests, and in the world of actual trading. If any backtesting software or system tells you otherwise, either they're misinformed, or they're lying.
## [Backtests](https://algotest.in/feature/backtest?utm_source=webflow\&utm_medium=internal\&utm_campaign=documentation\&utm_content=manual)
In the world of backtests, we represent a constant flow of market data that your broker API receives as [:candles
.](https://docs.algotest.in/product-blogs/options-trading-terms/#104CandlestickChartsCandles) A candle has the wonderful property of compressing all market activity over any period into 5 distinct data points -- [:**Open**, **High**, **Low**, **Close**](https://docs.algotest.in/product-blogs/options-trading-terms/#103OHLC), and **Volume** (OHLCV). With the benefit of this compression, however, comes a cost. The cost is loss of data. Once you go from 1-second granular LTP data to a 1-min candle, you've essentially distilled 60 price data points into 4.
This data loss can seem magnified during particularly volatile period, as it can introduce large discontinuities between the price of two candles. A cursory look at [:Generic
Broker](https://docs.algotest.in/broker/genericbroker/) chart shows an intra-day gap down discontinuity we found:
On 22 Feb'22 14:41, the close price of the candle was Rs 198.20, the open price of the next candle was Rs 196. If your Stop Loss was set between these prices, our platform assumes your SL got hit at the open price of the next candle. Here, the gap in the two candles isn't much, only \~2 rupees. BUT, it can be much larger during periods of volatility.
### Backtest loss never higher than stop loss? Beware!
We actually came across a user who showed us a backtesting report from some other service that showed **an overall loss exactly equal to their MTM SL EVERY TIME the SL was hit**. BUT, when we totalled the PnL manually at the individual leg level, we noticed that **the actual loss was 2.5 times the reported MTM SL loss for some of the trades**!
So if you ever see a backtest report where your loss reported on a trade is always less than or equal to the SL level you set, **BE WARY! If you see such a backtest report,**
### Real world
In the real world as well, this is an inevitability. To keep it simple, [**here's a tweet that shows an extreme scenario**](https://twitter.com/rogue_hft/status/1433792275423776769) of what can happen in the market.
> [#freaktrade](https://twitter.com/hashtag/freaktrade?src=hash\&ref_src=twsrc%5Etfw) [#37100PE](https://twitter.com/hashtag/37100PE?src=hash\&ref_src=twsrc%5Etfw) a story in charts. y-axis represents the ltp, x-axis the time. These are all the trades in that one second. Someone shouted "FIRE" in a crowded theater with a narrow exit. Instead of an orderly evacuation, we had a stampede. [pic.twitter.com/VJ65ghaGgo](https://t.co/VJ65ghaGgo)--- Raghav (@rogue\_hft) September 3, 2021
---
// File: product-blogs/margin-calculator
# Introducing AlgoTest's Margin Calculator
AlgoTest is thrilled to introduce our latest feature: the Margin Calculator. In the ever-evolving landscape of trading, having precise knowledge of your margin requirements is paramount. Our margin calculator is designed to empower traders by providing instant and accurate margin computations, ensuring you always maintain optimal capital allocation. This significant update is a testament to AlgoTest's commitment to offering tools that streamline the trading process, reinforcing our goal to keep traders one step ahead in the competitive market environment.
[NSE & BSE F\&O Margin Calculator](https://algotest.in/margin-calculator?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product\&utm_term=margin-calculator)
Margins play a dual role as both a safeguard for brokers and a requisite for traders. But what exactly encompasses a margin, and how does it intersect with the trader's journey? Let's discuss this.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
## Margin and Pledging
#### **The Mathematical Precision of Margin**
In trading, Margin is not just a term; it's a calculated value, representing the capital required to open a specific trading position. It's computed as a percentage of the total contract value of the positions. This mechanism provides the leverage every trader seeks.
Let's dissect the mechanism with Nifty:
Nifty is currently trading at : 19500
NIFTY lot size = 50
Buy 1 lot of Nifty
Current Margin Requirement: Precisely 1.1L
[The Notional Exposure](https://algotest.in/blog/leverage-in-trading-short-options/) : A calculated 9.7L
By fronting about 10% of the total value (1.1L), traders are granted authority over a 9.7L position, reflecting the essence of margins.
Bear in mind, margin values aren't static. They adapt to the market's volatility and are re-evaluated three times daily to align with the current market trends and risks.
#### **The Dual Components: SPAN & Exposure**
i. **SPAN Margin**: SPAN, an acronym for Standard Portfolio Analysis of Risk, is the industry's adopted risk metric. It quantifies the worst potential loss that a trader's portfolio might face within a trading day, based on a collection of risk variables. While SPAN seems like a protective mechanism, its real intent is to shield the broker, and the ecosystem itself from unforeseen market downturns.
ii. **Exposure Margin**: This is like your tax surcharge, extra on top of your SPAN margin.
It ensures that the broker remains insulated from losses that might exceed the SPAN projections, typically factoring in about 2-3.5% of the contract value.
#### **Pledging: The Alchemy of Trading**
Pledging is the strategic manoeuvre where traders can use their securities as collateral, pledging them with their broker in exchange for margin. However, this margin incurs a certain deduction known as a 'haircut'. And while pledging offers an opportunity, a rule remains: at least half the margin should stem from cash or its equivalents.
To understand this issue a little better, [you can read this interesting piece](https://tradingqna.com/t/the-crude-episode-the-risk-of-running-a-brokerage-business/75479) or [this one](https://finshots.in/archive/why-did-oil-prices-fall-below-zero/) to understand how the crude episode affected brokerage businesses in India.
## How does it affect the trader?
Armed with the knowledge of margins and pledges, traders are empowered to:
\-- Amplify their trading positions with calculated risks.
\-- Formulate strategies grounded in technical precision.
\-- Optimise their assets with the art of pledging.
\-- Still lose money while trading hehe (unless you're trading on AlgoTest double hehe)
While the mathematical intricacies of margins and pledges may seem daunting, tools like AlgoTest's Margin Calculator bridge the gap, granting traders clarity and confidence in their endeavours.
### The Fluidity of Margins: Why Do They Change Intraday?
The trading world, much like our own, is in a constant state of flux. Prices of securities oscillate, market sentiments shift, and global news can instigate sudden spikes or drops in prices and volatility. Margins are tethered to these variables, acting as a reflection of the prevailing market conditions.
#### a) The Role of Volatility:
Volatility, a measure of price fluctuations, plays a central role in margin adjustments. High volatility translates to increased price unpredictability, prompting exchanges to hike margin requirements. This acts as a safety net, cushioning against potential losses due to erratic price movements.
#### b) External Influences:
Global events, such as geopolitical tensions, major economic announcements, or unexpected financial results, can influence trading environments significantly. Exchanges might adjust margins in anticipation of or in reaction to such events to protect the market's integrity.
#### c) Volume & Open Interest:
An abrupt surge in trading volume or a change in open interest -- the total number of outstanding contracts -- can signal potential price movements. Exchanges often use these indicators as a barometer to tweak margin requirements.
#### d) Routine Monitoring:
Exchanges actively monitor trading activities. Margin requirements are recalibrated thrice daily based on market data and risk assessment metrics. These evaluations are in place to ensure that traders and brokers operate within a protective framework, mitigating default risks.
### Margin on Expiry Day
Expiry days are fundamentally different from regular trading sessions, and margin requirements reflect this heightened risk. As contracts approach expiry, volatility can spike sharply due to rapid position unwinding, rollovers, and sudden price discovery. To manage this risk, exchanges and brokers **significantly increase margin requirements on expiry day**, especially for short options and near-the-money strikes.
On expiry day:
- **SPAN margins typically increase** as the risk of sharp intraday moves rises.
- **Calendar spread benefits reduce or vanish**, since one leg is nearing expiration.
- **Short option positions require higher margins**, even if they appeared well-hedged earlier.
- **Intraday margin benefits are often withdrawn**, forcing traders to maintain full overnight margins.
In many cases, brokers may **block new short positions** in far OTM options or enforce **100% margin collection** closer to market close. Traders relying on leverage or pledged collateral can face sudden margin shortfalls if they’re not prepared.
This is where proactive margin planning becomes critical. Using AlgoTest’s Margin Calculator before expiry allows traders to **simulate margin requirements in advance**, adjust position sizing, and avoid forced square-offs due to last-minute margin spikes.
### SPAN Margin -- A Closer Look
SPA, or Standard Portfolio Analysis of Risk, is a pivotal concept in the trading world. Used by exchanges and brokers alike, it serves a vital function:
Purpose: To calculate the total risk associated with a specific portfolio.
But how does it accomplish this? SPAN takes into consideration a range of parameters to ensure a comprehensive risk assessment. Here's a breakdown:
\-- Strike Prices: These are predetermined prices at which a trader can buy or sell a security.
\-- Risk-free Interest Rates: This represents the return on a theoretically risk-free investment, like a government bond.
\-- Changes in Prices of the Underlying Securities: As securities' prices fluctuate, the inherent risk associated with them can shift.
\-- Volatility Shifts: Market or security-specific volatility can alter the potential for unexpected price movements.
\-- Time Decay: The decrease in an option's value as it approaches its expiration date.
Armed with insights from these parameters and more, SPAN meticulously calculates potential risks, preparing traders and brokers for various market scenarios.
### Exposure Margin -- Decoding the Safety Net
Beyond SPAN lies another layer of calculated protection: the **Exposure Margin**. While SPAN handles the risk assessment, Exposure Margin steps in as an additional protective buffer.
**Purpose**: To shield against potential losses that might exceed what SPAN has identified and quantified.
But what exactly dictates the parameters of this buffer? Let's break it down:
\-- Nature of Calculation: The system meticulously predicts the gravest one-day loss an account might face by considering a spectrum of potential market scenarios. Out of these projections, the largest conceivable loss becomes the mandated margin requirement.
\-- Additional Safety: This margin is essentially an extra amount that brokers require, over and above the SPAN margin.
\-- Typical Rates: Generally, the Exposure Margin is set at about 2% of the contract value, pertinent to futures trades and short option trades. But, why precisely 2%?This is a number determined by the exchanges after considering a multitude of reasons like risk management, liquidity considerations, regulatory requirements and so on. Perhaps, 2% is considered the right balance between protecting speculators from overleveraging whilst still allowing them to participate in the markets.
**Looking at historical data, interestingly, we can see that an intraday 2% move in the Nifty 50 lies slightly below the 90th percentile.**
\-- Stock Specifics: For stock futures and short options, the equation alters slightly. Here, the Exposure Margin is the greater of two values: either 3.5% of the contract value or 1.5 times the standard deviation of the logarithmic returns of the pertinent share over the past half-year -- whichever is higher.
For clarity, let's dive into an illustrative example using Reliance Industries (RIL) futures:
\-- Spot Price: Rs 2,339
\-- Lot Size: 250
\-- Contract Value Calculation: Spot Price × Lot Size = Rs 2339 × 250 = Rs 5,84,750
Now, taking 3.5% of this Contract Value, we get Rs 20,465.
However, considering the logarithmic returns, if we assume a 10% standard deviation (SD) for the past 6 months, then:
\-- 1.5 times the SD = 1.5 × 10% = 15%
\-- 15% of the Contract Value = Rs 87,712
This means a trader could potentially be looking at two Exposure Margins: either Rs 87,712 or Rs 20,465. Since the exchange considers the higher value of the two, the exposure margin in this case will be Rs 87,712.
### Pledging -- Maximising your Trading Potential
**Pledging** provides traders an avenue to leverage their assets more optimally, especially when they have faith in their derivatives trading strategy. So, what's the science and art behind it?
#### 1. The Pledging Mechanism:
\-- Concept: Traders, instead of solely depending on cash for trading, have the choice to invest their money in marketable securities. These securities can then be pledged, offering them an interest-free loan for their trading ventures.
\-- Process: The securities are pledged with the depository via the trader's broker, which, in return, provides a margin in the trader's broking account.
\-- Haircut: An essential term in the pledging realm, 'haircut' refers to a specific deduction from the pledged value. This deduction varies since different assets come with distinct risk levels, influenced by factors such as historical price movements and volatility. The riskier the asset you're pledging, the higher the haircut. [Click here](https://docs.google.com/spreadsheets/d/1vRI4NKpJ-3mnOWxUhSRMSQD5txy8QNumzSQrdfGKyL0/edit#gid=0) to see Generic Broker's comprehensive list of instruments and the respective haircuts they levy.
\-- Pledging in Action: Picture owning 100 shares of HDFC bank. If the Last Traded Price (LTP) is Rs 1510, the total investment stands at 1.51L. Assuming a haircut of 12.5% for this stock, the margin made available for trading would be Rs 1,32,125.
#### 2. Critical Caveats to Consider:
\-- 50% Cash Rule: Post the haircut, while initiating a trade, traders need to ensure at least half of the required margin originates from cash or its equivalent.
\-- Why this Rule?: This is designed to cap a trader's leverage to a maximum threshold of 2.
\-- Cash Equivalents Explained: These are securities pledged with the broker, treated almost at par with cash when considering the margin. While they undergo a haircut, the margin they provide is treated as cash in the 50% cash rule. Some popular examples include Liquid Bees ETF, MOGSEC, and liquid funds like the Axis liquid fund.
#### 3. Pledging Constraints:
\-- All Securities Aren't Pledge-Friendly: There's a cap on the quantity of individual securities one can pledge with the clearing corporation. Surpassing this threshold is a no-go.
\-- The VaR Factor: Value at Risk (VaR) quantifies the maximum potential loss an asset might incur over a specified timeframe, at a certain confidence level. For instance, a stock with a 100% VaR suggests that the anticipated loss could be equivalent or surpass its current market value, within a given confidence interval. Such stocks are ineligible for pledging.
---
// File: product-blogs/backtest-multiple-strategies
## What do we mean by Portfolio on AlgoTest?
A portfolio is a collection of strategies. On [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest), you can save strategies by inputting a strategy and clicking on "Save Strategy".
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
Once you've discovered some profitable strategies ([click here to see an example](https://www.youtube.com/watch?v=qZ3SXaKlvls)), the next step is to combine them in a portfolio.
To build a portfolio, click on [Portfolio](https://algotest.in/portfolio), then "Create New Portfolio". You can select the strategies you want to include in your portfolio, and finally give your portfolio a name. On clicking "Create", your portfolio will now be ready.
**Create your portfolio**
Finally, you can click on the portfolio and then run "Start Backtest". This will run a combined backtest for the entire portfolio. After this step, you will get an aggregate result, along with a correlation matrix.
## Why do we do this?
The purpose of running this combined backtest in a portfolio is to harness the benefit of diversification. Running multiple uncorrelated yet profitable strategies, in theory, should lead to a smoother equity curve through reduced variance in returns. Time for an Albert Einstein quote 🙂
> "In theory, theory and practice are the same. In practice, they are not."
***
> **Albert Einstein**
### Be Careful
Oftentimes we've seen users use this correlation estimate as proof that the strategies in their portfolio are uncorrelated or negatively correlated. This will not always be the case.
The correlation matrix represents nothing more than the historical correlation between the strategies' returns. This historical correlation estimate can change depending on which historical period (date range) you use to estimate it. In our example, if we backtest starting from Jan 2017 all the way to 11 April 2022 (5+ years), the historical correlation between the 920 straddle and the 1020 straddle is 0.2.
**Five Year Correlation**
On the other hand, if we just use the last year's data to backtest, the correlation value changes to 0.1.
One year correlation.
### **So what does this mean?**
Correlations are dynamic and change with the market environment. One major implication here is that the historical profitability of your backtests could be implicitly dependent on this historical correlation. And if future correlation is different from historical correlation, you run the risk of losses.
Furthermore, correlations between strategies can change over time. So any diversification benefit you may derive from these (un)correlated strategies can disappear pretty quickly as the correlation coefficient changes!
Here is a tweet thread that highlights this point:
#### History
In fact, one of [the greatest blowups in trading history](https://en.wikipedia.org/wiki/Long-Term_Capital_Management) can be attributed to precisely this breakdown of historical correlation. Here is a quote from the wikipedia article I archived sometime back:
*The profits from LTCM's trading strategies were generally not correlated with each other and thus normally LTCM's highly leveraged portfolio benefited from diversification. However, the general flight to liquidity in the late summer of 1998 led to a marketwide repricing of all risk leading these positions to all move in the same direction. As the correlation of LTCM's positions increased, the diversified aspect of LTCM's portfolio vanished and large losses to its equity value occurred. Thus the primary lesson of 1998 and the collapse of LTCM for[ Value at Risk](https://en.wikipedia.org/wiki/Value_at_Risk) (VaR) users is not a liquidity one, but more fundamentally that the underlying[ Covariance matrix](https://en.wikipedia.org/wiki/Covariance_matrix) used in VaR analysis is not static but changes over time.*
---
// File: product-blogs/error-on-algotest
While it is not the most common occurrence, sometimes the strategies you create can go into errors. In such situations, it is essential to maintain calm and follow the correct steps, to handle the error efficiently. This article will discuss how to receive error notifications, the steps to follow if your strategy encounters an error, and steps to prevent any future errors.
[Live Trade On AlgoTest](https://algotest.in/feature/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=live)
[:Learn
how to Live Trade on AlgoTest](https://docs.algotest.in/algo-trade/#ActivateStrategyForLiveDeployment)
**How to Receive Notifications if an Error Occurs**
**Step 1.)** Go to the AlgoTest dashboard
**Step 2.)** On the dashboard, go to your profile. You can locate the Profile section in the top-right corner, as highlighted in the image below.
**Step 3.)** Once you are on your profile, verify your Email ID and Telegram ID at the position highlighted in blue, in the image. You will receive instant error notifications on this Email and Telegram ID.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
**Handling an Error Notification on Your Strategy**
Now, assume that you receive a notification on your Email or Telegram, for your strategy going into an error. Let us now understand how to handle this situation. For this tutorial, we are dividing the error types into two:
1. Margin-related errors
2. Any Other type of error
Let us now understand these 2 cases in detail.
- **Margin-related errors:**
Our system is designed so that it automatically squares off the position of your strategy if there is a margin-related error. However, we must verify it manually as well. Let us go through the steps to be followed.
**Step 1.)** Go to the Live trade page from the AlgoTest dashboard.
**Step 2.)** All your strategies can be found under the "Deployed Strategies" section. Any strategy in error will have an error button next to it, as shown in the screenshot below. Click on this button.
**Step 3.)** You can observe the error and its cause in the section highlighted in the screenshot below. We can see that the cause of error here is margin shortfall.
In the case of margin error, our system will automatically square off the position of your strategy. However, you must verify it manually as well.
**Step 4.)** Go to the broker terminal and verify on the "Orders" page, as well as the "Positions" page to ensure that the strategy is squared off.
If your strategy position is squared off at the broker end, you have successfully tackled the margin error.
- **Other types of errors:**
If the error is anything other than a margin error, you have to manually handle the error on the broker's end. Let me walk you through the steps for the same.
**Step 1.)** Go to the Live trade page from the AlgoTest dashboard.
**Step 2.)** All your strategies can be found under the "Deployed Strategies" section. Any strategy in error will have an error button next to it, as shown in the screenshot below. Click on this button.
**Step 3.)** You can observe the error and its cause in the section highlighted in the screenshot below. We can see that the cause of the error here is "Session expired". Note that this error could be anything else.
In all the cases where the error is anything other than margin error, the strategy gets disconnected from the algo, and all your Stop Loss Limit orders or pending limit orders need to be handled manually.
Observe and note down the running leg that has run into the error. This leg can be found in the "Running Legs" section, as you can see in the above screenshot. This is the leg that has to be dealt with on the broker terminal.
**Step 4.)** Go to the Positions page on your broker terminal. You can see that the error leg is still running, as highlighted in the screenshot below. You can either square it off or manage it manually.
**Step 5.)** Go to the Orders page on your broker terminal. You can see the pending orders, if any. You can either square it off or manage it manually.
**Steps to Prevent Any Future Errors**
Now that we have dealt with the error, we would like to know how to prevent it, so that if the strategy is activated again, we don't run into the same error. Let us run through the steps to be followed for the same.
**Step 1.)** Click on the error button on your live trade page, as shown in the steps above, to go to the error page. Once you are on the error page, click on the 'Screenshot' button to capture a screenshot of the error.
**Step 2.)** Copy the Website URL
**Step 3.)** On our Execution Helpline Telegram group, send us the following 3 details:
1. Screenshot
2. Website URL
3. Broker name
The admins will reach out to you with further steps or updates on your error. [Click here to access the Telegram group.](https://t.me/AlgoTest_In)
[BackTest On AlgoTest](https://algotest.in/feature/backtest?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=backtest)
---
// File: product-blogs/difference-backtest-forward-live
import Iframe from "../../src/components/Iframe";
Backtesting a strategy helps in quantifying a strategy's historical risk and return expectation. Armed with this data, traders get the confidence to deploy large sums of capital into their strategies. But sometimes, your daily backtested data might differ from your Live trading and forward testing results. Below we have tried to explain some of the reasons as why this might be so:
```
```
## Slippages -- Instrument depth, liquidity & broker congestion
Backtesting a strategy assumes you get the best price as defined by the parameters of the strategy. It does not take into consideration the market depth and liquidity of the instrument, slippages & broker congestion. Here is how these factors can affect your backtest vs Live/forward testing results:
### Market Depth
Whether there is a counterparty available who is willing to trade the quantity you want to buy/sell at that price. This issue can be more easily seen with ITM options.
### Liquidity
Whether the bid/ask spread is small enough so that you are able to get the same price close LTP which the backtest engine uses.
### Slippages
Sometimes, sudden moves in the market, especially during expiry, lead to a spike in option prices due to the gamma effect. The rise is so swift that the time taken for the system to process that the SL price has been breached to actual fulfillment of the SL order is enough to result in a big difference between the SL price and the exit price.
### Broker Congestion
Due to congestion of order flow at the broker's end, especially during the morning, the entry into your instrument might be delayed by 1 or 2 sec. This delay can lead to different entry prices or/and potentially different strikes from what the backtesting engine uses for your strategy compared your algo trade and forward test. In forward testing, we assume you can get the orders at a specific time without accounting for any delay from the brokers end.
As a result of the above, your trades entry prices and/or strikes and thus the SL, profits target and TSL might be different from our backtest results.
**Solution:** Add slippages to reduce differences caused by such factors.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
## SL-L order triggered but market never reached SL price
AlgoTest offers the use of SL-L order for your SL orders. The SL-L orders are placed in your broker's order book. At the time of entry in the strategy and are quite helpful in reducing slippages that might occur due to sudden moves in the market. A SL-L order has a trigger price and a limit price defined by the user at the time of activating their strategy.
Say for example, we have the following strategy:
Entry time = 9:20 AM
***
SL = 20%
***
Trigger buffer = 2 points
***
Limit buffer = 4 Points
***
Entry price @ 9:20 is:
***
Sell CE = Rs 100
***
Sell PE = Rs 100
***
**Hence the SL-L orders will be:**
***
CE SL-L order: Trigger price Rs 118, Limit price Rs 124
***
PE SL-L order: Trigger price Rs 118, Limit price Rs 124
***
Now, if the LTP of the CE reaches Rs 118.05 our trigger price will be breached and a limit order a to buy the CE will be placed at Rs 124 and we shall be stopped out of the CE leg.
If the the price of the call makes a high of Rs 119 and reverses from there, then according to the backtest we are still in the trade whereas in live deployment we have been stopped out. This can lead to mismatch in backtest results vs live trade and forward test.
**Solution:** Keep the trigger buffer as Rs 0 and limit buffer at Rs 2 (anything other than 0).
## Overall SL and Profit Target feature on strategy
As mentioned earlier, our backtest uses 1-min OHLC data to give results. When using 1-min OHLC data, the only time you can be sure about the overall profit or loss of a strategy is either at the open or close of the candle. AlgoTest uses the close of a 1-min candle to calculate the overall profit and loss for a strategy.
Meanwhile in live trading, the overall profit/loss conditions are checked continuously. Hence, there can be a mismatch between your day's backtest and live/forward testing results using overall strategy level conditions.
Your strategy might have reached its defined Overall Target profit or SL in LIVE trading but the 1-min Candle close might not have reflected this.
## Square off -- Complete
One of the features that AlgoTest has under its legwise SL settings is [SL complete](https://algotest.in/blog/definition-of-terms-used-in-backtesting-platform/#square-off>). Under this condition, if the SL of any of the legs in a strategy is hit, the whole strategy is exited. Since we use 1-min OHLC data, we can determine the exit price of the SL leg, as defined in the strategy, but we cannot determine the price of the other legs at the time the SL is hit. Hence, we use the close price of the 1-min candle to determine the exit price of all the other legs in the strategy.
Meanwhile, in live trading, once any leg's SL is hit all the other legs are exited at the same time using a market order. Thus, leading to a difference between live trade/forward test.
## Re-entry ASAP, Re-entry ASAP reverse, Re-entry momentum & Re-entry Momentum Reverse
Under all the above features, the Re-entry at the new ATM is taken as soon as a [leg's SL is hit](https://algotest.in/blog/definition-of-terms-used-in-backtesting-platform/#reentry>). In live as well as forward testing, the new strikes and prices are fetched as per the current market price, whereas in backtesting the strategy the prices taken and strikes selected are of the close of the 1-min candle where the SL is hit. This can lead to a difference between Backtest and Live trade/forward test results.
## Delay is price feed from your broker
There can sometimes be a delay of milliseconds from your broker's price feed to our Live execution system. If the spot at that time is in between two ATM strikes, there can be a difference between the backtest, forward test and live trade. Such differences are unavoidable sometimes.
## Entry and exit in the first minute candle
AlgoTest uses 1-min OHLC data for backtesting a strategy. Based on the conditions of your strategy, for example, simple momentum, say the entry (BUY) of your strategy happens on the 15th second of the minute. After entry, the price of your instrument hits the SL price within the same minute candle but closes above the SL price. In this case, at the end of the candle, the backtest will show entry in the strategy, but in Live trade and forward test your leg would have stopped out. Let us illustrate this with an example and the following strategy conditions:
Entry time: 9:20 AM
***
Simple momentum: CE = 20 Points up, PE = 20 Points up
***
SL: 5% for both legs
***
TSL points: X = 10, Y = 5 for both legs
***
9:20 Bank Nifty ATM Spot = 38000
***
9:20 CE Price = Rs 400
***
9:20 PE Price = Rs 420
***
Say at 9:25 the 38000 CE opened at Rs 405. The simple momentum conditions are met on 9:25:15 and the following trade takes place:
***
**Trade** 9:25:15 Buy CE 38000 @ Rs 420 (SL = Rs 399)
***
After entry the market moves down and at 9:25:30 a LOW of Rs 399 is made
***
**Trade** 9:25:30 Sell CE 38000 @ Rs 399 (SL HIT)
***
The market reverses and moves up with the price of the option closing at Rs 410 in that minute. Thereafter the market keeps moving up for the rest of the day and eventually, a time exit or a TSL exit happens.
***
So, our 9:26 1-min candle (checkout how we define a candle here: [https://algotest.in/blog/how-does-algotest-define-a-candle](https://algotest.in/blog/how-does-algotest-define-a-candle/)) has the following parameters:
***
Open = Rs 405
***
High = Rs 420
***
Low = Rs 399
***
Close = 410
According to that day's backtest results, the entry happened at Rs 420 and since the close of the entry 1-min candle was above our SL price of Rs 399, the system assumed that the strategy was still running at the end of that candle. Whereas, in live trade, the strategy was already stopped out.
:::tip
These are some of the drawbacks of working with a 1-min OHLC data for backtesting your strategy.
***
**You may avoid such cases by having higher SLs for your strategies.**
:::
---
// File: product-blogs/correlation-matrix
## What is a correlation matrix?
A correlation matrix shows the historical correlation coefficients between two trading strategies. This helps traders understand how different strategies are related. Understanding these relationships is important for building a diversified portfolio that reduces risk and maximizes returns by combining strategies that are not closely linked. By examining the correlation matrix, you can decide which strategies to combine and how to balance your portfolio for the best performance. Each cell in the matrix represents the correlation between two strategies, with values ranging from -1 to 1.
**Here's a breakdown of what these values mean:**
1. **Strong Positive Correlation (Close to 1)**: Indicates that the two strategies tend to perform similarly. When one strategy makes a profit, the other is also likely to make a profit.
2. **Strong Negative Correlation (Close to -1)**: Indicates that the two strategies tend to perform in opposite directions. When one strategy makes a profit, the other is likely to make a loss. We need to have a negative correlation between our strategies to have a smooth equity curve.
3. **No Significant Correlation (Around 0)**: Indicates that there is no predictable relationship between the performance of the two strategies. Their movements are largely independent of each other.
## How to view the correlation matrix?
To access the correlation matrix for your portfolio, please follow the simple steps given below.
- First, you should backtest a portfolio. To do this, go to the portfolio section and click on the "Run Portfolio" button, as shown in the image below.
- Now, scroll down and click on the "Show Correlation Matrix" button located below the backtest report, as shown in the image below.
- It will display the correlation matrix as shown in the image below. You can click on the "Show only checked" button to display the correlation matrix only for the selected strategies in the portfolio.
## How to Analyse a Correlation Matrix?
Understanding the correlation matrix is crucial for building a well-diversified portfolio. Using the correlation matrix, you can create a portfolio that can provide good rewards with less risk. Let's understand how the correlation matrix works.
### Matrix Layout
Each cell in the matrix represents the correlation coefficient between two strategies. The diagonal elements are always 1, indicating a perfect correlation of the strategy with itself.
### Understanding the Values
#### 0 to 1
As the value increases from 0 to 1, the correlation between two strategies also increases. This means that the higher the value, the more related the strategies are to each other. A high correlation value indicates that if one strategy is making a profit or a loss, the other will also likely to make a profit or a loss on the same day.
#### -1 to 0
As the value decreases from 0 to -1, the correlation between two strategies also decreases. This means that the strategies are highly unrelated to each other. If one strategy is making profit or loss on a day, then the other strategy will likely do the opposite, i.e. it will make a loss or profit for that day.
#### 0 correlation
Zero correlation means there is no relationship between the strategies. Their movements will be largely independent of each other.
### Identifying Relationships between strategies
Look for strategies with lower positive correlations or negative correlations. For example, in the image below, you will see a strategy named "finnifty youtube" that has a correlation of 0.03 with a strategy named "finnifty expiry: Afcp1". This means that these two strategies are not very closely related to each other, which is beneficial for portfolio diversification.
In the image below, you can observe that the strategy named "Finnifty Exp: maf" has a negative correlation of -0.15 with the strategy named "Finnifty Exp: Afcp1". Therefore, it would be a beneficial strategy to add to our portfolio for diversification.
---
// File: product-blogs/detailed-pricing-blog
Hello and welcome to the detailed pricing page for AlgoTest. You will find a breakdown of our pricing model here.
[Purchase AlgoTest credits here.](https://algotest.in/billing?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product\&utm_term=billing)
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
## AlgoTest Credit Plans
At AlgoTest we provide credits to be used on our platform. Here is the pricing for purchasing credits.
| **Plan** | Cost (in Rs.) | Credits Received |
| :---------------- | :------------ | :--------------- |
| **Starter Plan** | Rs 499 | 500 Credits |
| **Explorer Plan** | Rs 999 | 1100 Credits |
| **Pro Plan** | Rs 2499 | 3000 credits |
| **Advanced Plan** | Rs 5999 | 7500 credits |
:::note
#### Your AlgoTest credits have no expiry.
:::
[You can purchase AlgoTest credits here!](https://algotest.in/billing?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product\&utm_term=billing)
## How to use AlgoTest credits
| **Product** | **Credits Required** | **Validity** |
| :------------------------------------------------------------------------------- | :------------------------- | :--------------- |
| **Limited Backtest (100 Backtests)** | 100 Credits | No Expiry |
| **Unlimited Backtest** | 499/1599/3999/7499 Credits | 7/30/90/180 Days |
| **1 Algo Strategy per day** | 100 Credits | 28 Days |
| **1 Forward Test per day** | 50 Credits | 28 Days |
| **Signal Bridge Plan (Includes Unlimited Forward Test\* and Live Executions\*)** | 1299/4999 Credits | 30/180 Days |
**Credits are then used to further purchase different products on AlgoTest.**
> *\* means 50 concurrent executions allowed on Forward Test and Live Executions on Signals.*
### Algo Trading
[:Algo
Trading](https://algotest.in/feature/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=live)
***
1 Strategy = 100 Credits per billing cycle (28 days).
### Forward Testing
[:Forward
Testing](https://algotest.in/feature/forward-test?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=forward-test)
***
1 Strategy = 50 Credits per billing cycle (28 days).
### Backtesting
[:Backtesting
](https://algotest.in/feature/backtest?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=backtest)
***
100 Backtests = 100 Credits (No Expiry).
### Backtesting Unlimited Weekly
#### **Unlimited 7 Days**
499 Credits for 7 days (7 days from the purchase of your unlimited plan).
### Backtesting Unlimited Monthly
#### **Unlimited 28 Days**
1599 Credits for 30 days (28 days from the purchase of your unlimited plan).
### Signals
[:Signals
](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals)
#### 28 Days
1299 Credits for 30 Days
#### 6 Months (180 Days)
4999 Credits for 180 Days.
## **Algo Trading**
After purchasing credits and activating an Algo Trading plan, you need to go [here in order to Algo Trade.](https://algotest.in/feature/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=live)
Under the deployable strategies, you will see all your strategies that are ready to be deployed. You can click the Activate button and deploy it live. Remember, you can only activate one strategy on one slot. In case you wish to deploy more strategies, you need to purchase more slots.
Algo Trading credits expire 28 Days from the purchase of your Algo Trading plan. If you add more strategies in the middle of your billing cycle, you will be charged on the basis of the number of days remaining in your billing cycle. For example, you will be charged 50 credits if you activate a new strategy for live deployment on the 14th day of your billing cycle.
| Day | Credit Cost | Day | Credit Cost | Day | Credit Cost | Day | Credit Cost | Day | Credit Cost | Day | Credit Cost | Day | Credit Cost |
| :--------- | ----------: | :--------- | ----------: | :--------- | ----------: | :--------- | ----------: | :--------- | ----------: | :--------- | ----------: | :--------- | ----------: |
| **Day 1** | 100 | **Day 2** | 96 | **Day 3** | 93 | **Day 4** | 89 | **Day 5** | 86 | **Day 6** | 82 | **Day 7** | 79 |
| **Day 8** | 75 | **Day 9** | 71 | **Day 10** | 68 | **Day 11** | 64 | **Day 12** | 61 | **Day 13** | 57 | **Day 14** | 54 |
| **Day 15** | 50 | **Day 16** | 46 | **Day 17** | 43 | **Day 18** | 39 | **Day 19** | 36 | **Day 20** | 32 | **Day 21** | 29 |
| **Day 22** | 25 | **Day 23** | 21 | **Day 24** | 18 | **Day 25** | 14 | **Day 26** | 11 | **Day 27** | 7 | **Day 28** | 4 |
:::info
**Pro-rata pricing** for Algo Trading. Deploying a strategy uses fewer credits as your billing cycle progresses.
:::
**Strategy Price**(**Day 1** of Billing Cycle) = **100** Credits
**Strategy Price** (**Day 28** of Billing Cycle) = **4** Credits
This means that as your billing cycle progresses, it becomes cheaper to add a trade to your algo trading or forward testing plan. This is what we mean by **Pro-rata** basis. You can deploy different strategies in your slot for different days of the week. You can also switch strategies in your slot after deploying them.
Only strategies whose status is running are considered towards your daily live execution plan limit. Under "Deployed Strategies" if the status of a strategy is anything other than "Running", for eg. "Squared off", "Manual" or "Error", you can switch them by adding any other strategy from "Deployable Strategies".
## **Forward Testing**
Forward Testing credits expire 28 Days from the purchase of your Forward testing plan. If you add more strategies in the middle of your billing cycle, you will be charged on the basis of the number of days remaining in your billing cycle(Pro-Rata Basis). For example, you will be charged 25 credits if you activate a new strategy for forward testing on the 14th day of your billing cycle.
Once you have purchased Forward Testing credits you can [go here to begin Forward Testing.](https://algotest.in/feature/forward-test?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=forward-test)
| Day | Credit Cost | Day | Credit Cost | Day | Credit Cost | Day | Credit Cost | Day | Credit Cost | Day | Credit Cost | Day | Credit Cost |
| :--------- | ----------: | :--------- | ----------: | :--------- | ----------: | :--------- | ----------: | :--------- | ----------: | :--------- | ----------: | :--------- | ----------: |
| **Day 1** | 50 | **Day 2** | 48 | **Day 3** | 47 | **Day 4** | 45 | **Day 5** | 43 | **Day 6** | 41 | **Day 7** | 40 |
| **Day 8** | 38 | **Day 9** | 36 | **Day 10** | 34 | **Day 11** | 32 | **Day 12** | 31 | **Day 13** | 29 | **Day 14** | 27 |
| **Day 15** | 25 | **Day 16** | 23 | **Day 17** | 22 | **Day 18** | 20 | **Day 19** | 18 | **Day 20** | 16 | **Day 21** | 15 |
| **Day 22** | 13 | **Day 23** | 11 | **Day 24** | 9 | **Day 25** | 7 | **Day 26** | 6 | **Day 27** | 4 | **Day 28** | 2 |
Pro-rata forward testing prices. Deploying forward tests gets cheaper as your billing cycle progresses.
This means that on Day 28 of your billing cycle a Forward Test will cost 2 credits.
**Forward Test Cost**(Day 1 of Billing Cycle) = **50** Credits
**Forward Test Cost** (Day 28 of Billing Cycle) = **2** Credits
## **Backtesting**
We have two kinds of plans : **Limited** and **Unlimited**. You can [go here to begin Backtesting on AlgoTest.](https://algotest.in/feature/backtest?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=backtest)
**Limited: No Expiry**
Limited plans have no expiry date.
### Unlimited Plans
#### Unlimited Weekly
7 Days expiry from the time of purchase.
#### Unlimited 28 Days
30 Days from the purchase of this plan.
Unlimited plans have expiries based on the plan. If it is a daily plan then it will expire within 24 hours. If it is a weekly or a monthly plan, then it will expire in 7 days or 30 days respectively.
### Backtesting Pricing
#### Free BackTests for ALL our traders.
Supporting and empowering the Retail Trader has always been at the CORE of AlgoTest's vision. We will continue to support them by providing them **25 free backtests per week**. These backtests will be the same as your paid backtests and will have ALL the features of your paid backtests. Unused backtests will NOT accumulate over time.
Every customer of AlgoTest gets 25 free backtests per week. You can utilize these backtests after your paid backtests have been exhausted.
#### Cheapest Backtests out there!
Also, at Rs 1 per backtest, our pricing is still the cheapest plan out there. **For a 5-year backtest, that's 20 paisa per backtest per year!**
On **AlgoTest**, you need **1 credit to backtest a strategy**. There is no restriction on the number of years you backtest a strategy for. On the contrary, we encourage you to backtest all your strategies for at least 5 years to get a more accurate picture of how well your strategy has performed in different market scenarios.
So if you take our "Starter" plan for Rs 300, one backtest is going to cost you **Rs. 1 or 20 paisa per backtest year.**
So if you have 6 different strategies in a portfolio that you would like to backtest for a period of 5 years, it will consume 6 credits.
## [**Signals**](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals)
We have two kinds of plans for our product Signals. Each plan of Signals offers **UNLIMITED LIVE TRADES\* AND FORWARD TESTS\*!** You can get a Signals plan [here.](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals)
> *\* means 100 concurrent executions allowed daily on Forward Test and Live Executions on Signals.*
### 1299 Credits for 1 month
For ₹1299 or 1499 credits you will be able to use Signals for 28 Days and you will also receive **UNLIMITED Live Trades\* and Forward Tests\***.
***
**INCLUDED WITH THE PLAN!**
> *\* means 100 concurrent executions allowed daily on Forward Test and Live Executions on Signals.*
### 7499 Credits for 168 Days (6 Months)
For ₹4999 or 7499 credits you will be able to use Signals for 168 Days (6 Months) and you will also receive **UNLIMITED Live Trades\* and Forward Tests\***.
***
**INCLUDED WITH THE PLAN!**
> *\* means 50 concurrent executions allowed on Forward Test and Live Executions on Signals.*
## Our Pricing Process - Understanding AlgoTest Slots
At AlgoTest we sell slots that you can then use to run your strategies for Live Trading and Forward Testing. Think of it like renting a room in a hotel.
We give out a room for rent for 28 days. You can have different residents living in that same room during the 28 day period. But only one resident at a time.
Similarly, if you buy a slot from us, you can either run one strategy on that slot for a period of 28 days. Or you can run 28 different strategies on 28 different days (provided you square off the running strategy each day).
For instance, you can create an **Execution Plan** for yourself anticipating your requirements for a billing cycle (28 days). For example, say you need to Forward Test 2 strategies daily and 5 max daily live deployments for your billing cycle. In order to make a plan for yourself go to **My Profile,** under **Execution Plan** click on **"Add a plan"**. Here you can input your requirement and see that you need 600 credits to activate this plan:
Forward Testing = 2 X 50 credits = 100 Credits
Live Deployment = 5 X 100 Credits = 500 Credits
Once you have purchased the 600 credits from our credit packages you will be able to activate this plan for your billing cycle. You can always add more forward tests and live deployments at any time during your billing cycle which shall be added on a pro-rata basis.
Similarly, for backtesting go to **My Profile,** under **Backtest Plan** click on **"Add more Backtests"**. Here you have two options:
- **Limited Plan**: Add the number of backtests you want to purchase. 100 backtests require 100 credits.
- **Unlimited Plan**: Select the **Unlimited plan** option and you will see two options, 7 Days or 28 Days. The Unlimited Weekly plan is for 599 credits while the 28 Days plan is for 1499 credits.
[You can purchase AlgoTest credits here!](https://algotest.in/billing?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product\&utm_term=billing)
## **Frequently Asked Questions**
### How long is my billing cycle?
Your billing cycle is 28 days.
### What is the expiry date for my Backtest, Live execution and Forward test plans?
The billing cycle of the Forward testing and Live trading is the same, while that of Backtesting is different.
**Backtest:** We have two kinds of Backtest plans
- Limited: No Expiry
- Unlimited Daily: 24 Hrs Expiry from the time of purchase
- Unlimited 28 Days: 28 Days from the purchase of this plan
**Forward Testing:** 28 Days from the purchase of your Live trading or Forward testing plan. If you add more strategies in the middle of your billing cycle, you will be charged on the basis of the number of days remaining in your billing cycle. For example, you will be charged 25 credits if you activate a new strategy for forward testing on the 14th day of your billing cycle.
**Algo Trading:** 28 Days from the purchase of your Live trading or Forward testing plan. If you add more strategies in the middle of your billing cycle, you will be charged on the basis of the number of days remaining in your billing cycle. For example, you will be charged 50 credits if you activate a new strategy for live deployment on the 14th day of your billing cycle.
### How do we price our plans?
You can create an **Execution Plan** for yourself anticipating your requirements for a billing cycle (28 days). For example, say you need to Forward Test 2 strategies daily and 5 max daily live deployments for your billing cycle. In order to make a plan for yourself go to \*\*My Profile, \*\*under \*\*Execution Plan \*\*click on **"Add a plan"**. Here you can input your requirement and see that you need 600 credits to activate this plan:
Forward Testing = 2 X 50 credits = 100 Credits\
Live Deployment = 5 X 100 Credits = 500 Credits
Once you have purchased the 600 credits from our credit packages you will be able to activate this plan for your billing cycle. You can always add more forward tests and live deployments at any time during your billing cycle which shall be added on a pro-rata basis. You CANNOT downgrade your plan during a billing cycle. Although you can do so after your billing cycle ends.
Similarly, for backtesting go to \*\*My Profile, \*\*under \*\*Backtest Plan \*\*click on **"Add more Backtests"**. Here you have two options:
- Limited Plan: Add the number of backtests you want to purchase. 100 backtests require 100 credits.
- Unlimited Plan: Select the **Unlimited plan** option and you will see two options, 24 hours or 28 Days. 24 Hours plan is for 199 credits while the 28 Days plan is for 4000 credits
Once you have purchased the necessary credits from our credit packages you will be able to activate your Backtests. You can always add more Backtests at any time as they have no exipry. You CANNOT downgrade your plan.
### Where can I purchase credits from?
You can purchase credits [here.](https://algotest.in/billing?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product\&utm_term=billing)
### How long are my credits valid for?
Your AlgoTest credits have no expiry.
### Is Backtesting not free anymore?
Supporting and empowering the Retail Trader has always been at the CORE of AlgoTest's vision. We will continue to support them by providing them\*\* 25 free backtests per week\*\*. These backtests will be the same as your paid backtests and will have ALL the features of your paid backtests. Unused backtests will NOT accumulate over time.
Also, at Rs 1 per backtest, our pricing is still the cheapest plan out there. **For a 5-year backtest, that's 20 paisa per backtest per year!**
### What is considered a "strategy" on AlgoTest?
A "Strategy" on AlgoTest is defined by Entry Time. One Entry time is one strategy. You can have up to 10 legs in one strategy.
### How many credits do I need to backtest one strategy for 5 years?
On AlgoTest, you need 1 credit to backtest a strategy. There is not restriction on the number of years you backtest a strategy for. On the contrary, we encourage you to backtest all your strategies for atleast 5 years to get a more accurate picture of how well your strategy has performed in different market scenarios.
So if you take our "Starter" plan for Rs 300, one backtest is going to cost you **Re 1 or 20 paisa per backtest year.**
### How many credits are consumed to backtest a portfolio of strategies?
Say you have 6 different strategies in a portfolio that you would like to backtest for a period of 5 years. Backtesting this portfolio of strategies will consume 6 credits.
### I have bought a backtesting plan, do I still get free backtests per week?
Yes! Every customer of AlgoTest gets 25 free backtests per week. You can utilize these backtests after your paid backtests have been exhausted.
### How can I deploy a strategy in live market on AlgoTest?
After purchase credits and activating a plan you need to go to [https://algotest.in/live](https://algotest.in/feature/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=live) Under the deployable strategies you will see all your strategies that are ready to be deployed. You can Click the Activate button and deploy it live.
### How many credits do I need to deploy 1 strategy?
To deploy 1 strategy you need to purchase 100 Credits for one billing cycle.
### Can I upgrade my live execution plan?
You can upgrade your plan and add more live strategies at any point during your billing cycle. Credits will be deducted on a pro-rata basis. A plan cannot be downgraded.
### What should be my live execution plan if I deploy different number of strategies on different days?
Say you deploy 3 Strategies on Monday, 2 on Tuesday, 5 on Wednesday, 6 on Thursday and 3 on Friday. In this case you will need 600 credits to activate all your strategies since your live execution plan needs a maximum of 6 strategies to run for the entire week.
### Can I deploy different strategies for different days with the same live execution plan?
Yes, you can deploy different strategies for different days of the week.
### Can I switch strategies after deploying them?
Yes, you can switch strategies after deploying them. Only strategies whose status is running are considered towards your daily live execution plan limit. Under "Deployed Strategies" if the status of a strategy is anything other than "Running", for eg. "Squared off", "Manual" or "Error", you can switch them by adding any another strategy from "Deployable Strategies".
---
// File: product-blogs/options-trading-glossary
## Essential Stock Option Trading terms
### 1. Option
A contract that gives the buyer the right, but not the obligation, to buy or sell an underlying asset at a specified price (strike price) on or before a certain date (expiration date). The seller (writer) of the option has the obligation to fulfill the terms of the contract if the buyer exercises the option.
### 2. Call Option
A type of option that gives the buyer the right to buy the underlying asset at the strike price. The seller of the call option has the obligation to sell the underlying asset if the buyer exercises the option.
### 3. Put Option
A type of option that gives the buyer the right to sell the underlying asset at the strike price. The seller of the put option has the obligation to buy the underlying asset if the buyer exercises the option.
### 4. Short Call
An option strategy that involves selling a call option on an underlying asset. The seller receives a premium upfront, but is exposed to unlimited risk if the price of the underlying asset rises above the strike price of the option.
### 5. Short Put
An option strategy that involves selling a put option on an underlying asset. The seller receives a premium upfront, but is obligated to buy the underlying asset at the strike price of the option if the buyer exercises the option.
### 6. Long Call
An option strategy that involves buying a call option on an underlying asset that the buyer expects to increase in price. The buyer pays a premium upfront, and has the right to buy the underlying asset at the strike price of the option before or on the expiration date.
### 7. Long Put
An option strategy that involves buying a put option on an underlying asset that the buyer expects to decrease in price. The buyer pays a premium upfront, and has the right to sell the underlying asset at the strike price of the option before or on the expiration date.
### 8. Synthetic Future
Synthetic Futures are an innovative method of trading that allows traders to choose strikes for Straddles with more balanced premiums, giving them an advantage in market prediction and strategy development. The above feature follows a simple formula: Spot ATM Strike - Spot ATM PE + Spot ATM CE = Synthetic Future.
### 9. Strike Price
The price at which the underlying asset can be bought or sold by the option holder. The strike price is determined by the option contract and does not change during the life of the option.
### 10. Expiration Date
The date on which the option contract expires and becomes worthless. The expiration date is determined by the option contract and does not change during the life of the option.
### 11. In the Money
An option that has intrinsic value, is called In the Money option. A call option is in the money when the underlying asset price is above the strike price. A put option is in the money when the underlying asset price is below the strike price.
### 12. Out of the Money
An option that has no intrinsic value, is called Out of the Money option. A call option is out of the money when the underlying asset price is below the strike price. A put option is out of the money when the underlying asset price is above the strike price.
### 13. At the Money
An option that has zero intrinsic value, is called At the Money option. An at the money option has only time value, which is the potential for the option to become in the money before expiration.
### 14. Intrinsic Value
The amount by which an option is in the money. It is the difference between the current market price of the underlying asset and the strike price of the option. Intrinsic value can never be negative, as the option holder can always choose not to exercise the option.
### 15. Extrensic Value
Extrinsic value is the difference between an option's market price (the premium) and its intrinsic value. Extrinsic value is also the part of an option's worth determined by variables other than the underlying asset's price. Intrinsic value, or the inherent worth of a choice, is the polar opposite of extrinsic value.
### 16. Time Value
The amount by which an option's price exceeds its intrinsic value. It is the premium that the option buyer pays for the possibility that the option will become in the money before expiration. Time value decreases as the option approaches expiration, and becomes zero at expiration.
### 17. Premium
The price of an option, which is determined by the supply and demand of the market. The premium consists of the intrinsic value and the time value of the option. The option buyer pays the premium to the option seller to acquire the option contract.
### 18. Contract Size
The word "contract size" refers to the deliverable quantity of a stock, commodity, or financial instrument that underpins a futures or option contract. It is a standardized number that informs merchants about the exact quantities being purchased or sold under the terms of the transaction. Contract sizes are frequently defined by exchanges and vary according on the commodity or instrument. They also calculate the monetary worth of a single unit change or tick size in the underlying commodity or instrument.
### 19. Spot price
The spot price is the current market price of an asset, currency, or commodity that can be purchased or sold and settled immediately. Stated differently, the asset's current market value is determined by the price that both buyers and sellers agree on.
### 20. Bid Price
The maximum price at which a buyer wants to buy a security in the market. The bid price is usually lower than the ask price, and the difference between them is called the bid-ask spread.
### 21. Ask Price
The minimum price at which a seller wants to sell a security in market. The ask price is usually higher than the bid price, and the difference between them is called the bid-ask spread.
### 22. Bid-Ask Spread
The difference between the bid price and the ask price of an option. The bid-ask spread reflects the liquidity and volatility of the option market. A narrow bid-ask spread indicates a liquid and efficient market, while a wide bid-ask spread indicates a illiquid and inefficient market.
### 23. Volume
The number of option contracts that are traded in a given period of time. Volume reflects the level of activity and interest in the option market. High volume indicates a high demand and supply of options, while low volume indicates a low demand and supply of options.
### 24. Open Interest
The number of option contracts that are open and have not been closed or exercised. Open interest reflects the number of outstanding options in the market. High open interest indicates a high level of commitment and participation in the option market, while low open interest indicates a low level of commitment and participation in the option market.
### 25. Exercise
The act of using the right granted by the option contract to buy or sell the underlying asset at the strike price. The option buyer can exercise the option at any time before expiration, while the option seller has no control over when the option will be exercised. The option buyer pays the strike price to the option seller to complete the transaction.
### 26. Assignment
The act of fulfilling the obligation imposed by the option contract to buy or sell the underlying asset at the strike price. The option seller is assigned the option when the option buyer exercises the option. The option seller receives the strike price from the option buyer to complete the transaction.
### 27. American Style Option
A type of option that can be exercised at any time before expiration. Most equity options are American style options.
### 28. European Style Option
A type of option that can only be exercised at expiration. Most index options are European style options.
### 29. Automatic Exercise
The process by which in the money options are automatically exercised at expiration, unless the option holder instructs otherwise. Automatic exercise is a service provided by the Options Clearing Corporation (OCC) to protect the option holder from losing the intrinsic value of the option.
### 30. Expiration Style
The way in which an option is settled at expiration. There are two main expiration styles physical settlement and cash settlement.
### 31. Physical Settlement
A type of expiration style that involves the actual delivery of the underlying asset when the option is exercised or assigned. Most equity options are physically settled.
### 32. Cash Settlement
A type of expiration style that involves the payment of cash equivalent to the intrinsic value of the option when the option is exercised or assigned. Most index options are cash settled.
### 33. Delta
The measure of the sensitivity of an option's price to a change in the price of the underlying asset. Delta is also known as the hedge ratio, as it indicates how many shares of the underlying asset are needed to hedge one option contract. Delta ranges from 0 to 1 for call options, and from -1 to 0 for put options. Delta is positive for long positions and negative for short positions.
### 34. Gamma
The measure of the sensitivity of an option's delta to a change in the price of the underlying asset. Gamma indicates how much the delta of an option will change for a one-unit change in the price of the underlying asset.
### 35. Theta
The measure of the sensitivity of an option's price to a change in time. Theta indicates how much the option's price will decrease for a one-unit decrease in time to expiration. Theta is also known as the time decay, as it reflects the erosion of the option's time value.
### 36. Vega
The measure of the sensitivity of an option's price to a change in volatility. Vega indicates how much the option's price will change for a one-unit change in the implied volatility of the underlying asset.
### 37. Rho
The measure of the sensitivity of an option's price to a change in interest rate. Rho indicates how much the option's price will change for a one-unit change in the risk-free interest rate. Rho is positive for long call and short put positions, and negative for short call and long put positions.
### 38. Implied Volatility
The measure of the expected volatility of the underlying asset implied by the option's price. Implied volatility is derived from an option pricing model, such as the Black-Scholes model, by inputting the option's price and solving for the volatility variable. Implied volatility reflects the market's expectation of the future price movements of the underlying asset.
### 39. Historical Volatility
The measure of the actual volatility of the underlying asset observed over a given period of time. Historical volatility is calculated by using the standard deviation of the logarithmic returns of the underlying asset. Historical volatility reflects the past price movements of the underlying asset.
### 40. Volatility Skew
The phenomenon that different options on the same underlying asset with different strike prices or expiration dates have different implied volatilities. Volatility skew is also known as the smile or smirk, as it creates a curve when plotting the implied volatilities against the strike prices or expiration dates. Volatility skew reflects the market's perception of the probability and magnitude of extreme price movements of the underlying asset.
### 41. Option Chain
A table that displays the prices, volumes, and other information of various options on the same underlying asset with different strike prices and expiration dates. Option chains are usually provided by option exchanges or brokers to help traders analyze and compare different options.
### 42. Option Pricing Model
A mathematical formula or model that is used to calculate the fair value of an option based on various factors, such as the price of the underlying asset, the strike price, the time to expiration, the volatility, the interest rate, and the dividends. Option pricing models are also used to derive the option greeks and the implied volatility. Some of the common option pricing models are the Black-Scholes model, the binomial model, and the Monte Carlo model.
### 43. Black-Scholes Model
A widely used option pricing model that was developed by Fischer Black, Myron Scholes, and Robert Merton in 1973. The Black-Scholes model assumes that the underlying asset follows a lognormal distribution, the volatility and interest rate are constant, and there are no dividends.
### 44. Break-Even Point
The underlying stock price at which an option strategy will realize neither a profit nor a loss, generally at option expiration.
### 45. Bull Butterfly Spread
This is an advanced strategy that can be used when the outlook of an underlying security is bullish. Learn how to use a Bull Butterfly Spread.
### 46. [:Bull
Call Spread](https://docs.algotest.in/financial-education/options-strategies/bull-call-spread/)
A simple strategy, using calls, that can be used when the expectation is that the underlying security will increase in price. Learn how to use a Bull Call Spread.
### 47. [:Bull
Put Spread](https://docs.algotest.in/financial-education/options-strategies/bull-put-spread/)
A simple strategy, using puts, that can be used when the expectation is that the underlying security will increase in price.
### 48. Bear Butterfly Spread
An option strategy that involves buying a call option with a low strike price, selling two call options with a middle strike price, and buying a call option with a high strike price. All options have the same expiration date and are on the same underlying asset. This strategy is used to profit from a moderate decline in the underlying asset's price, with limited risk and reward.
### 49. [:Bear
Call Spread](https://docs.algotest.in/financial-education/options-strategies/bear-call-spread/)
An option strategy that involves selling a call option with a lower strike price and buying a call option with a higher strike price. Both options have the same expiration date and are on the same underlying asset. This strategy is used to profit from a slight decline or no change in the underlying asset's price, with limited risk and reward.
### 50. [:Bear
Put Spread](https://docs.algotest.in/financial-education/options-strategies/bear-put-spread/)
An option strategy that involves buying a put option with a higher strike price and selling a put option with a lower strike price. Both options have the same expiration date and are on the same underlying asset. This strategy is used to profit from a moderate decline in the underlying asset's price, with limited risk and reward.
### 51. Butterfly Spread
The term ""butterfly spread"" refers to an options strategy that comprises bull and bear spreads with defined risk and profit limits. The most profitable situation for these spreads, which are intended to be market-neutral strategies, is for the underlying asset to stay constant until option expiration. They either have four puts, four calls, or a combination of the two with three strike prices.
### 52. Buy To Close
A transaction that eliminates or reduces a short position in an option. The buy to close order is used to close out an existing short position that was created by initially selling to open.
### 53. Buy To Open
A transaction that creates or increases a long position in an option. The buy to open order is used to enter a long position on an option contract.
### 54. Buy-Write
A strategy that involves buying a stock and writing (selling) a call option on the same stock. The buy-write strategy is also known as a covered call.
### 55. Calendar Spread
A strategy that involves buying and selling options with different expiration dates, but the same type, strike price, and underlying security. The calendar spread can be constructed using calls or puts, and it can be either bullish or bearish.
### 56. [:Call
Ratio Back spread](https://docs.algotest.in/financial-education/options-strategies/call-ratio-back-spread/)
A strategy that involves buying more call options than the number of call options sold. The call ratio backspread is a bullish strategy that profits from a large increase in the underlying security's price.
### 57. [:Put
Ratio Backspread](https://docs.algotest.in/financial-education/options-strategies/put-ratio-back-spread/)
A put ratio backspread is an options trading strategy that combines short and long puts to construct a position with profit and loss possibilities based on the ratio of these puts.
### 58. [:Long
Strangle](https://docs.algotest.in/financial-education/options-strategies/long-straddle/)
An option strategy that involves buying a call option and a put option with different strike prices, but the same expiration date and the same underlying asset. The strike price of the call option is higher than the strike price of the put option. This strategy is used to profit from a large movement in the price of the underlying asset, in either direction, with unlimited reward and limited risk.
### 59. [:Short
Straddle](https://docs.algotest.in/financial-education/options-strategies/short-straddle/)
An option strategy that involves selling a call option and a put option with the same strike price, expiration date, and underlying asset. This strategy is used to profit from a lack of movement in the price of the underlying asset, with limited reward and unlimited risk.
### 60. Strangle
A general term for an option strategy that involves buying or selling a call option and a put option with different strike prices, but the same expiration date and the same underlying asset. See also Long Strangle and Short Strangle.
### 61. [:Iron
Condor](https://docs.algotest.in/financial-education/options-strategies/iron-condor/)
An option strategy that involves selling a OTM call option, buying a call option with a higher strike price, selling a OTM put option, and buying a put option with a lower strike price. All options have the same expiration date and are on the same underlying asset. This strategy is used to profit from a narrow range of movement in the price of the underlying asset, with limited risk and limited reward.
### 62. Iron Butterfly
An option strategy that involves selling a call option and a put option with the same strike price, buying a call option with a higher strike price, and buying a put option with a lower strike price. All options have the same expiration date and are on the same underlying asset. This strategy is used to profit from a slight movement or no change in the price of the underlying asset, with limited risk and limited reward.
### 63. Synthetic Call
An option strategy that involves buying a put option and buying the underlying asset. This strategy replicates the payoff of a long call option, but with more flexibility and lower cost.
### 64. Synthetic Put
An option strategy that involves buying a call option and selling the underlying asset. This strategy replicates the payoff of a long put option but with more flexibility and lower cost.
### 65. Bear Call Ladder
An option strategy that involves selling a call option with a lower strike price, buying a call option with a middle strike price, and buying another call option with a higher strike price. All options have the same expiration date and are on the same underlying asset. This strategy is used to profit from a moderate decline in the price of the underlying asset, with limited risk and unlimited reward.
### 66. Hedge
A hedge is an investment position designed to counterbalance any losses or benefits from a companion investment.
### 67. All-or-None (AON) Order
An order that must be fully completed or will not be fulfilled. This is a valuable order for option traders undertaking complex option strategies that require exact execution.
### 68. Payoff graph
Payoff graphs are graphical representations of option payoffs. They are frequently referred to as "risk graphs." The x-axis indicates the spot price of a call or put stock option, while the y-axis reflects the profit or loss generated by the stock/index options.
### 69. Arbitrage
The simultaneous buying and sale of financial assets in order to profit from price differences. Option traders frequently look for parity in the pricing of the options and future contracts, thereby benefiting from a risk free trade.
### 70. Weekly Expiry
Weekly expiry contracts are those that expire on a specific day of every week depending on instument, unless it is a trading holiday in which case they expire on the preceding trading day. Weekly expiry contracts offer more flexibility and opportunities for traders to take advantage of short-term price movements and events.
### 71. Monthly Expiry
Monthly expiry contracts are those that expire on a specific day of every month, unless it is a trading holiday, in which case they expire on the preceding trading day. Monthly expiry contracts are more suitable for long-term investors and hedgers who want to reduce their exposure to market risks.
### 72. Condor Spread
A complicated neutral option strategy with limited profit and limited loss seeks profit from low volatility or high volatility. A long condor spread works well in a low-volatility environment. A short condor spread works well in a high-volatility environment.
### 73. Calendar Strangle
Calendar Strangle is a sophisticated neutral options strategy that involves purchasing a long-term strangle and selling a short-term strangle.
### 74. Calendar Straddle or Combination
A complex neutral options strategy that includes buying a long-term straddle and selling a short-term straddle.
### 75. Diagonal Spread
An options spread on the same underlying, same type but different expiration month along with strike.
### 76. Fiduciary Call
A fiduciary call is a method for trading options that is equivalent to buying a regular call option. The main difference is that the strike price, rather than being utilized to purchase the assets immediately, is invested where it may earn interest.
### 77. Front Ratio Spreads
Front Ratio Spread is a strategy that involves purchasing a long option and selling a greater number of higher OTM strike options of the same expiry.
### 78. Front Ratio Call Spread
Front Ratio Call Spread is a strategy that involves buying an ATM or OTM call option and selling two OTM call options with a higher strike of the same expiry.
### 79. Front Ratio Put Spread
Front Ratio Call Spread is a strategy that involves buying an ATM/OTM Put option and selling 2 OTM Put option with a higher strike of the same expiry.
### 80. Positional Trading
Positional trading is a trading method in which traders hold their positions for a lengthy period of time, usually several weeks, months, or even years. The approach aims to profit on long-term market trends rather than short-term changes.
### 81. Quadruple Witching
Quadruple witching is a phenomenon when stock options, stock futures, stock index options, and stock index futures all expire on the same day.
### 82. Ratio Backspread
A ratio backspread is an options trading method used by bullish investors who predict the underlying security or stock will grow significantly while reducing losses. The strategy involves buying more call options in order to sell fewer calls at a different strike but the same expiration date. While the downside is limited, returns might be substantial if the underlying security rallies considerably due to the ratio feature. The ratio of lengthy to short calls is usually 2:1, 3:2, or 3:1.
### 83. Ratio Calendar Spread
Credit volatility options trading method that allows for maximum profit on one leg by selling a lower quantity of in-the-money options in exchange for purchasing at-the-money or out-of-the-money options of the same type.
### 84. Ratio Spread
Using either puts or calls, the technique consists of purchasing a particular number of options and then selling a bigger number of out-of-the-money options.
### 85. Ratio Strategy
A strategy using an uneven number of long and short options. Normally, it signifies a preference for short options over long options.
### 86. Return If Unchanged
The return that an investor would receive on a specific position if the underlying stock's price remained unchanged at the expiration of the options in the position.
### 88. Reverse Strategy
A generic term used to describe techniques that are diametrically opposed to more well-known strategies. A ratio spread, for example, is the purchase of calls at a lower strike and the sale of additional calls at a higher strike. A reverse ratio spread, also known as a backspread, involves selling calls at a lower strike and purchasing more calls at a higher strike. The results are obviously directly opposite to each other.
### 89. Debit Spread
A debit spread, also known as a net debit spread, is an options strategy that involves simultaneously purchasing and selling options of the same class with different strike prices, resulting in a net "debit" for the trader.
### 90. Credit spread
A credit spread is the process of selling a high-premium option while acquiring a low-premium option in the same class or asset, resulting in a credit to the trader's or investor's account.
### 91. Short Calendar Spread
A volatile options strategy that profits largely on the difference in time decay between long and short term options, which is accomplished by writing longer term options and purchasing short term options.
### 92. Vertical Spread
A vertical spread is the simultaneous purchase and sale of options of the same kind (e.g., puts or calls) and expiry but with different strike prices. The term'vertical' is derived from the location of the strike prices.
### 93. Vertical Ratio Spread
A vertical spread that buys and sells an uneven quantity of options on each leg. Vertical ratio spreads essentially combine the directional merit of vertical spreads with the neutral and volatile inclination of ratio spreads, resulting in unique neutral and volatile options trading strategies that allow maximum profit or unlimited profit in one direction while establishing vertical ratio spread positions with a net credit, which significantly reduces risk and increases the probability of winning.
### 94. Volatile Strategy
An option strategy designed to profit from volatility regardless of whether the underlying stock swings up or down swiftly.
### 95. Volatility
Volatility is a measure of how much an underlying security is projected to move over a certain time period. Volatility, as defined by the yearly standard deviation of daily price swings in the investment, is not the same as the stock's Beta.
### 96. Volatility Crush
A quick, severe decline in implied volatility that causes a substantial reduction in extrinsic value and, as a result, option prices decline.
### 97. Call Ratio Spread
Call Ratio Spread is a credit options trading method that allows you to benefit whether a stock moves up, down, or sideways by shorting more out of the money calls than buying ATM calls.
### 98. Call Time Spread
Call Time Spread is another term for Call Calendar Spread. To profit from time decay, an Options Trading technique involves buying long-term call options and writing near-term call options.
### 99. Bearish Options Strategies
Various strategies for profiting from an downward movement in the underlying stock.
### 100. Horizontal Put Time Spread
An option strategy in which longer term at the money put options are purchased and short term at the money put options are issued in order to benefit while the underlying stock remains stable.
### 101. Adjusted Options
Non-standardized stock options with tailored terms to reflect significant changes in the underlying stock's capital structure.
### 102. Box Spread
A box spread, also known as a long box, is an options trading strategy in which you buy a bull call spread and a matching bear put spread. A box spread consists of two vertical spreads with identical strike prices and expiration dates. A Box Spread, sometimes known as an Alligator Spread owing to the way commissions eat up any potential profits, is an options trading technique that takes advantage of price differences to generate risk-free arbitrage.
### 103. OHLC
**OHLC** stands for *Open, High, Low, and Close*, representing key data points in financial trading that describe the movement of a security over a specified period. These four data points are essential for understanding market trends and making informed trading decisions.
***
The "Open" indicates the price at which a security first traded upon the opening of an exchange on a given trading day.
***
The "High" is the highest price at which a security traded during the trading day.
***
The "Low" represents the lowest price at which a security traded.
***
The "Close" denotes the price at which a security last traded upon the close of an exchange.
***
Together, these elements provide a comprehensive snapshot of a security's trading activity, serving as the foundation for various types of financial analysis, including technical analysis and the creation of candlestick charts.
### 104. Candlestick Charts (Candles)
Candlestick charts, commonly referred to as "candles," are a type of financial chart used to represent price movements of a security, derivative, or currency. Each candlestick typically shows one day, week, month, or another user-defined time frame's worth of trading activity. A single candlestick is composed of a body and wicks (or shadows) extending from the top and bottom. The body's length represents the range between the opening and closing prices, while the wicks indicate the high and low prices during the period.
**Bullish Candle**: If the close is above the open, the candle is typically colored white or green, representing a price increase during the period.
***
**Bearish Candle**: Conversely, if the close is below the open, the candle is usually colored black or red, indicating a price decrease.
Candlestick charts are highly valued for their ability to visually convey market sentiment and potential price reversals, making them indispensable tools for traders employing technical analysis.
### 105. BTST
BTST stands for **"Buy Today Sell Tomorrow."**
It is a trading strategy employed in the stock market where a trader buys shares on one trading day and sells them on the next trading day. This strategy capitalizes on the anticipated overnight price movement of a stock due to news, events, or market sentiment that may occur after the close of the trading session on the day of purchase.
BTST allows traders to leverage short-term price movements without the need to wait for the settlement of the trade, which traditionally takes T+2 days (Transaction Date plus two working days) for completion. This strategy is particularly popular in markets that experience significant daily price fluctuations and is used by traders looking to profit from quick, short-term gains.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
---
// File: product-blogs/sl-order-executed
# Why was my stop-loss order executed even though the price wasn't hit on the chart?
Sometimes our order gets triggered on the broker's platform, but when we look at the chart, it doesn't appear to have reached that point. This situation can be puzzling, especially for new traders who heavily rely on the chart for trading. Let's explore the cause of this phenomenon and discuss effective ways to address this issue. With a better understanding and the right approach, we can navigate through these discrepancies with confidence and clarity.
## Live Market Scenario
To resolve any issue, understanding the problem is crucial. I will illustrate using a live market scenario for better comprehension.
### Example:- 1
As seen in the image below, on August 29, 2024, I executed a sell order for Nifty 29 Aug 25000 PE option for 23.80 at 02:29:59.
Later, I placed a stop-loss limit order to close my option sell position, and it was executed at INR 48 at 02:42:29, as shown in the image below.
However, when I looked at the 02:42 candle price on the chart, I was shocked to find that the high of the 02:42 candle was 47.3, as shown in the image below. If the price didn't reach my stop-loss level of 48, then how did my stop-loss get activated?
### Example:- 2
In another incident, on August 29, 2024, I executed a sell order for contract Nifty 29 Aug 25050 CE option for 54.70 at 02:03:54.
I placed a stop-loss limit order to exit my option selling position, which was executed for 69.25 at 02:12:36, as depicted in the image below.
\
When I looked at the price of the 02:12 candle on the chart, I was shocked to see that the high of the 02:12 candle was 66.6, as shown in the image below. If the price didn't reach my stop loss at 69.25, then how did my stop loss get hit?
In the examples above, we observed situations in the live market where our stop-loss was triggered, but the price did not reflect that in the charts. As a newcomer to the market, this might appear suspicious, and we may wonder if it's some kind of scam or manipulation by an operator to trigger our stop-loss without a corresponding price movement in the charts.
***
However, before jumping to any conclusions, it's essential to understand how our orders get executed in the live market and how price charts are formed. Are they both based on the same data or are they different from each other? Let's delve into the next section to comprehend how order execution in the live market and price charts function.
## Tick Data & Time Based Data
The main reason for this inconsistency is the difference between tick-based data used in live market order execution by exchanges and time-based data used in constructing charts. Here's a breakdown of the two:\
Tick-Based Data: Your limit orders are managed by exchanges. The execution of your limit orders placed in exchanges in advance is based on tick-based data. This type of data captures every single price movement or "tick" that occurs in the market. It is highly granular and records every change, no matter how small or fleeting. So any price movement in the market can trigger your order.\
Time-Based Data: Most charts, such as those showing candlesticks or bar charts, are typically constructed using time-based sampled data that is 1-second OHLC (Open, Low, High, Close) sample data provided by exchanges or their data sources. 1-second data can't capture every tick that happens in the market. The highs or lows you see on charts are made of 1-second OHLC (Open, Low, High, Close) data which sometimes doesn't capture every tick that occurred in the market.
## The Logic behing this
So far, we've learned that the charts we see are mostly based on 1-second data, while our limit orders are executed based on tick-based data. Tick-based data captures every price movement, so if a price in the market hits our stop loss, it will be triggered and executed in the live market. However, when we look at charts to check highs or lows, they are made up of 1-second data, which may not capture all the price movements that occurred in the market. This means that some tick data may be missed and not shown on the chart. Therefore, your order may be executed but not displayed on the chart.
## Fixing the Issue
You might think that you can do all your analysis on a broker chart, but your order can be executed at a price that is not shown on the broker chart or any third-party software chart. So, what is the solution for this?
The simple solution is to realise that there is no real issue with order execution. When you view prices on charts, you are looking at data made up of one-second samples. Most of the time, these charts will provide an accurate picture, but sometimes they may not show the highest or lowest price, and they can miss some ticks. Therefore, it's better to consider charts as a way to analyse the market, rather than relying on them to show the exact high or low every time, as charts are not accurate enough to capture every tick. It's better to verify your order book to check the price, as an order will only be executed by exchanges if there is a price at which a buyer or seller is willing to trade. Without a price, there can be no trade.
---
// File: product-blogs/algotest-hidden-features
import Iframe from "../../src/components/Iframe";
# Hidden Features on AlgoTest
AlgoTest has several powerful features that aren't visible at first glance but can significantly improve your trading experience. Here are a few such **hidden features** that give you better control, transparency, and shareability in your trading workflow.
## Replay and Export a Trade
### What is it?
This feature allows you to **replay any past trade** you've executed through Strategy Builder in the **Simulator**. You can also **export that trade** as a `.clicktrade` file and share it with others in your community.
### Why is it useful?
- Replay your own trade to understand what went right or wrong.
- Export and share trades with your community so they can learn your decision-making process.
- Import a trade into another AlgoTest account to simulate and review it.
### How to use
#### Replay a Past Trade
1. Go to **Strategy Builder → Trade History**
2. Select a trade that you want to replay.
3. Click on **Replay & Export**
4. This will open the trade in the Simulator at the exact moment it was placed.
#### Export the Trade
1. Click **Export as `.clicktrade` file** from the same menu.
2. This will download a file you can share.
#### Import in Another Account
1. On another AlgoTest account, go to **ClickTrade** (formerly known as **Discretionary) Trading → Simulator**
2. Click **Import/Export → Import**
3. Upload the `.clicktrade` file
4. The trade will now be loaded into the simulator for analysis.
> This feature is ideal for community educators, team-based traders, or strategy reviewers who want to share exact trades and thought processes.
## Order Slicing (for Advanced Users)
### What is it?
Order Slicing automatically breaks large orders into smaller chunks if your **order quantity exceeds the exchange’s freeze quantity**. This helps prevent rejections due to exceeding the maximum allowed lot size per order.
### Why is it useful?
- Helps advanced traders place high-quantity trades without hitting exchange limits.
- Ensures smoother execution of large trades.
- Fully automated within AlgoTest; no manual intervention required.
### How it works
Let’s say:
- You want to sell **200 lots** of a NIFTY straddle.
- The NSE freeze quantity for NIFTY is **24 lots per order**.
AlgoTest will:
- Detect that 200 > 24
- Automatically **slice** the order into multiple child orders (each ≤ 24 lots)
- Place them sequentially when you click **Place All Orders**
> Note: You’ll see a warning message stating that the order will be sliced. This feature only activates for large lot sizes and is intended for experienced users.
## Replay Entire Algo Trade History (Symbol-wise)
### What is it?
This feature allows you to **replay all trades executed by an Algo** for a specific symbol over a selected time period. It’s like visualizing what the Algo was doing day-by-day in hindsight using the Simulator.
### Why is it useful?
- Allows you to analyze actual Algo performance over time.
- Helps you understand your Algo's behavior during major market events.
- Enables trade reviews for compliance, debugging, or learning.
### How to use
1. Go to **Algo Trade → History**
2. Select a symbol (e.g. NIFTY) from your past algo trades.
3. Choose the time range (e.g. April 4 to April 10).
4. Click **Replay** for that symbol.
5. AlgoTest will load all trades from that period into the Simulator.
You can now:
- Step through time using the Simulator controls.
- Visualize trade entries, exits, MTM movements, and market context.
- Understand how your Algo responded to events like volatility spikes or news-driven moves.
### Auto Square Off On Margin Error
The Auto Square Off on Margin Error feature helps traders manage unexpected margin shortfalls. This feature automatically exits all trades when a margin error occurs in your account, helping prevent unexpected losses. By default, this feature is enabled, but it can be toggled off if preferred.
### Payoff Analyser
The Payoff Analyser feature allows traders to visualize their positions, including key metrics like the Greeks, max profit, max loss, and equity curve, all in one place. This powerful tool helps traders better understand the potential outcomes of their strategies.
### Add Leg / Square Off Leg
The Add Leg / Square Off Leg feature lets traders dynamically adjust their strategy while trades are live. This can be particularly useful when an unexpected market opportunity arises, enabling traders to add legs on the fly for additional margin benefits or hedging.
***
### Broker Level SL / TP
The Broker Level Stop Loss (SL) / Target Profit (TP) feature allows traders to set these parameters based on the broker account used. This setting applies only to trades executed through AlgoTest and is not applicable to manual trades placed directly on the broker’s terminal.
***
[ \:Read
more here.](https://docs.algotest.in/Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/broker-level-settings/)
### No Entry After Time
The No Entry After Time feature helps manage re-entries by preventing trades after a specified time, providing control over strategy executions during market hours. This feature ensures that re-entries only occur within the predefined timeframe, avoiding unexpected trades late in the session.
### Percentage-Based TSL And How It Works
The Percentage-Based Trailing Stop Loss (TSL) feature adjusts your stop loss based on price movements relative to the entry price. It helps protect profits by moving the stop loss level as the trade becomes more favorable.
### Compare Backtest Feature
The Compare Backtest feature enables traders to compare different versions of their strategy backtests side-by-side. This helps refine strategies by testing various parameters like stop loss levels, trailing stops, and more, enhancing decision-making with clear historical performance data.
***
[:Read
more here.](https://docs.algotest.in/backtest/backtest-comparison/)
### Algo Test Docs
Algo Test Docs is the official product documentation for AlgoTest, providing detailed information about every feature on the platform. It includes step-by-step guides, video tutorials, and in-depth explanations, serving as a one-stop resource for users to understand and utilize the platform’s tools fully.
---
// File: product-blogs/muhurat-trading-2024
## Muhurat Trading 2024 for FREE on AlgoTest
We are thrilled to announce that you can participate in the 2024 Muhurat Trading session on our platform!
Muhurat Trading is a special, one-hour trading session held on Diwali, marking the beginning of the Hindu New Year. This event is considered auspicious, with traders and investors participating to symbolise prosperity and wealth for the coming year. While the session is brief, it holds deep cultural significance, blending tradition with modern finance.
Many see it as an opportunity to make long-term investments, believing trades made during this time will bring good fortune. Accompanied by rituals like Lakshmi Puja, Muhurat Trading is more than just a financial event---it's a celebration of hope and new beginnings.
**We hope you participate in this auspicious trading opportunity with AlgoTest!**
::::info
> Link to [**Strategy Builder**](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder)
***
> Link to [**Positional/BTST Strategies**](https://algotest.in/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=btst-positional)
***
> \:::
## You can trade :
- [Strategy Builder](https://algotest.in/feature/strategy-builder?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=strategy-builder)
- [Intraday Strategies](https://algotest.in/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=btst-positional)
- [Positional/BTST Strategies](https://algotest.in/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=btst-positional)
:::note
**You will not be able to activate your current intraday strategies.**
:::
::::
## What you cannot trade :
- Signals strategies
- RA Algos
## Intraday strategy creation for Muhurat trading session
For the Muhurat Trading Session you have to create a new strategy from the positional Tab in the backtest.
***
:::note
**You will not be able to activate your current intraday strategies.**
:::
Please follow these steps:
1. Login to your AlgoTest account and click on the Create strategy button from the dashboard page as shown below.
- You will be redirected to the backtest page then click on the positional button as shown in the image below.
Use the following settings for timing :
**Entry timing** - 9:16 AM
**Exit Time** - 3:29 PM
- Make sure to select 0 trading days before expiry in entry and in exit both as shown in the image below.
- Rest of the settings will remain the same. You just have to add legs in your strategy and save by clicking on the save strategy button as shown below.
## Timing of broker login and strategy activation
| **Pre-Open** | 5:45 PM - 6 PM |
| :------------------------------- | -------------: |
| **Muhurat Trade** | 6 PM - 7 PM |
| **Broker Login Time** | 5 PM |
| **Strategy Activation** | 5 PM |
| **BTST/Positional Restart Time** | 5 PM |
### You can login to your broker as usual.
## For Strategy activation follow these steps:
- From the top navbar, click on the algo trade.
- Algo Trade > Strategies > Search "Muhrat" (or the name of the strategy you created)
- Once you click on the activate button it will show you a dialogue box as shown in the image below.
**In this Box set the fields as follows:**
- Select your broker
- **Entry Date**: 01/11/2024
- **Entry Time**: Between 6:01 pm - 6:59 PM
- **Exit date**: 01/11/2024
- **Exit time**: Between 6:01 pm - 6:59 PM
:::warning
Make sure Exit time is post Entry time.
:::
- Click on the activate button and your strategy will be activated and it will be visible on the positional algo trade page as a running strategy as shown below.
---
// File: product-blogs/corporate-actions
Corporate actions are **events initiated by companies** that directly affect stock prices, outstanding contracts, and shareholder positions.\
For traders, these events cause **adjustments in Futures & Options contracts** (strike price, lot size, positions), and if not handled properly, they can lead to errors in analysis.
[AlgoTest](https://algotest.in/register?utm_source=docs) manages corporate actions in **historical data**, ensuring your **backtests and simulations remain accurate**.
### Where Corporate Actions are Managed
- Simulator
- Backtest Strategies
- Realised Volatility
### Common Types of Corporate Actions
1. **Bonus Issues**
- Extra shares issued to shareholders free of cost.
- Example: Bonus 1:1 → For every 1 share held, you receive 1 additional share.
- Effect: Share price halves, lot size doubles.
2. **Stock Splits (Face Value Sub-Division)**
- A company divides its shares into smaller-value shares.
- Example: Split 2:1 → 1 share becomes 2 shares, each priced at half.
- Effect: Share price reduces, lot size increases proportionally.
3. **Rights Issues**
- Shareholders get the right to buy additional shares at a discounted price.
- Example: Rights 1:8 @ Premium ₹192 → Existing shareholders can buy 1 new share for every 8 held, at ₹192 premium.
### Why Corporate Actions Matter in Historical Analysis?
If corporate actions are not accounted for, then:
- **Backtests** show inconsistent results (wrong entry/exit prices, mismatched strikes).
- **Simulator** outputs become unreliable.
- **Realised Volatility** is distorted.
### Examples:
**Pre-Split (2:1)**
- Stock Price = ₹500, Lot Size = 100
- Post-Split, Stock Price = ₹250, Lot Size = 200
- If you sold 1 lot ATM Straddle at 500 (100 qty), after the split it becomes 1 lot ATM Straddle at 250 (200 qty).
**Corporate Action: Split 10:1**
- Effective Date: 4-Mar-2025
- Adjustment Factor = 10
- If Closing Price on 4-Mar = ₹1000 → Adjusted Price on 5-Mar = ₹1000 ÷ 10 = ₹100
AlgoTest backadjusts these changes in **historical data** to maintain continuity.
### Adjustment Factor Calculation
NSE prescribes formulas to adjust prices, strikes, and lot sizes:
### a) Stock Split
- If ratio = A : B
- Adjustment Factor = A / B
### b) Bonus Issue
- If ratio = A : B
- Adjustment Factor = (A + B) / B
### c) Rights Issue
If ratio = A : B
- P = Close price on last cum-date
- S = Rights issue price
- C = (P - S) × A
- E = C / (A + B)
- Adjustment Factor = (P - E) / P
With AlgoTest, traders can rely on accurate **historical analysis and strategy building**, knowing that corporate actions like Splits, Bonuses, and Rights Issues are seamlessly accounted for in backtests and simulations.
---
// File: ra-algos/ra-algo
# RA (Research Analyst) Algos
We are glad to announce our new product RA Algos.
Now you can trade using the strategies developed by SEBI-registered Research Analysts, which will be automated for you on the AlgoTest platform.
The power of algo trading combined with Research Analyst strategies is a game-changer, and we are happy to bring it to you.
## What is RA Algo?
RA Algos provides access to trades from Algos created by SEBI-registered research analysts. You can backtest these algos and can also include slippages, brokerage, taxes and charges, forward test them, or deploy them directly in your broker account.
## Who is a Research Analyst?
In the trading space in India, a Research Analyst is a SEBI (Securities and Exchange Board of India) registered professional who analyses financial markets, securities, and economic data to provide insights, forecasts, and investment recommendations to traders and investors. Their primary role is to help clients or firms make informed decisions about buying, holding, or selling securities like stocks, bonds, commodities, and currencies.
### SEBI Regulations:
In India, SEBI has mandated that Research Analysts need to be registered to protect investors from misleading or biased advice. They must follow strict compliance procedures and maintain a high level of transparency in their analysis. Some of the SEBI guidelines include:
- Providing detailed disclosures in reports.
- Avoiding personal trading on the stocks they analyse.
- Ensuring that recommendations are backed by thorough research.
:::info
**AlgoTest's RA Algos is compliant with SEBI's regulations,** and we provide access to all relevant information necessary to make informed decisions.
***
Trading is subject to market risks, and AlgoTest isn't responsible for any losses incurred from using RA Algos. Please make sure you understand the risks involved before committing to any trades.
:::
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
### How to use the platform efficiently?
Choose the Algo from the list of SEBI RA Algos and save it.
#### Backtest:
Analyze backtested results by including brokerage, slippages, Taxes and charges.
#### Forward Test:
Test the Algo without using real capital.
- Activate the Algo between 8:15 AM and 9:15 AM. (**Timing is crucial; late activation may alter Algo logic.**)
- Activate the Algo only on the specified days mentioned in the Algo card.
#### Algo Trade:
Automate real trades in your broker account.
- Log in with your broker and activate the algo between 8:15 AM and 9:15 AM. (**Timing is crucial; late activation may alter algo logic.**)
- Activate the algo only on the specified days mentioned in the Algo card.
### Make sure to follow these things:
- Check their backtest result after **considering brokerage, taxes, and slippages. Then,** conduct a forward test for at least a week. If it makes sense to you, proceed with it.
- Check Algo **Max's DD and losing streaks** so you can be prepared for that, and don’t stop if Algo goes into the DD initially.
- Activate the Algo **before the market opens, and only activate it on the decided days, so it can follow the same logic.**
- There can be days when your Algo will not take any trades because there is an entry condition set by RA in your Algo, and it is possible that the condition will not match the whole day.
### Activation Flow
Once you log in to your AlgoTest account, you’ll see the dashboard. Click on the RA Algos to start the activation process.
You’ll find RAs listed there as shown in the image below.
Let’s take a look at one algo given by our founder, Raghav Malik. Click on the tab and you will find the dashboard shown in the image below.
There are two tabs. One shows all the algos given by the RA.
And the other tab shows the algos that you saved.
Let’s see how we can backtest the “Positional Iron Condor \[DTE 4]**"** algo.
Once you click on the Algo, you’ll see the Algo card as shown below. Now to backtest the algo, click on the backtest.
You’ll see the results as shown below.
Before you move forward, add taxes & charges and Slippage. To add taxes and charges, turn the toggle on, add 1% slippage for buying and 0.5% for the selling strategy, and click on recalculate.
Now, you will see that these results are different from the previous ones.
Similarly, select the days the algo should be deployed from the DTE filter.
Now, save the algo.
After saving the algo, you’ll get two options, you can either forward test it or trade it with your broker.
Once you click on forward test, you get redirected to the page shown below.
You can go to portfolios and activate your strategy.
Before forward testing the algo, decide the number of lots you need to trade in by clicking on the quantity multiplier and then clicking on the activate button.
Click on the activation button again to deploy your Algo.
You’ll find the deployed Algos as shown below.
You can see the trades by clicking on View Trades.
You’ll find the trade details as shown below.
Similarly, you can click on Algo Trade if you want to take the Algo live.
### Live Trade
In this section, you will have the option to multiply the quantity of the RA algorithm. Click on the quantity multiplier and change it to your desired quantity.
It is better to activate the strategy before market hours. If not the logic of your strategy will be affected.
After entering the desired quantity click on the activate button.
Then you will have to select the broker of your choice to activate the RA algos and click on the activate button.
After activating the algo you will see your strategy in the deployed strategies section on your Algo Trading dashboard.
These were the steps that you need to follow in order to subscribe and run an RA algo in your Algotest account. In case you need further assistance, feel free to reach out to us on our Telegram channel.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
---
// File: ra-algos/portfolio
# Portfolio of RA Algos
[AlgoTest](https://algotest.in/ra-algo) provides a **Portfolio feature** that allows you to combine multiple RA (Research Analyst) algos into a single basket, and then test or trade them together.\
Instead of running each algo separately, you can club them into one **portfolio** and view **aggregate results** alongside individual performance.
This feature is useful if you want to:
- Combine multiple RA Algos into a single basket
- Test how different algos interact with each other
- Compare aggregate results with individual backtests
- Run forward tests or enable algo trading at a portfolio level
## How to Create a Portfolio
1. Go to **RA Algos** on AlgoTest. At the top, click **Portfolios**.
1. Then click on → **Create New Portfolio**.
1. Enter a name for your portfolio.
1. Search for the RA and select their algos.
1. Click **Create Portfolio** → all selected algos are now part of your portfolio.
### Portfolio Settings
- **Execution Days** – Inherited from the RA’s recommendation.
- Example: If a buying algo is set for Monday, Tuesday, Thursday, those days will auto-populate.
- **Quantity Multiplier** – Default is 1, but you can adjust as needed.
- **Backtest Range** – Choose a period (e.g., last 1 year) for backtesting.
## Backtesting a Portfolio
When you run a backtest on a portfolio:
- All selected RA algos execute together as per their recommended schedule.
- You see **individual algo performance** as well as an **aggregate portfolio report**.
- Reports include:
- Profit & Loss
- Win % / Loss %
- Maximum Profit & Loss in a single period
- Drawdown
- Risk/Reward metrics
## Adding Costs (Brokerage & Slippage)
To make backtests realistic, you can add costs:
- **Brokerage** – Enter your broker’s rate (₹20/order, ₹10/order, etc.)
- **Slippage** – Enter a % (e.g., 0.5%, 1%) to account for execution delay.
This shows how costs significantly affect results.
### Removing Loss-Making Algos
- After including costs, you may identify algos that consistently lose money.
- You can **deselect those algos** from the portfolio to improve performance.
[Watch the full demo on YouTube](https://youtu.be/8C2iyqEgztU?si=LWK3b5oWI9Jlfz0U) to understand the execution of the portfolio better.
### Aggregated vs Individual Results
AlgoTest shows you both:
- **Individual RA Algo performance**
- **Aggregate portfolio results**
This helps you see how algos interact with each other, whether they smooth out drawdowns or add more risk.
### Use Cases
- Combine multiple algos from the **same RA** into a portfolio.
- Mix algos from **different RAs** to diversify.
- Create separate portfolios for **Buying only**, **Selling only**, or **Mixed strategies**.
- Compare portfolios across **monthly or yearly timeframes**.
### Key Notes
- Portfolios help you understand the **combined effect of multiple algos**.
- Always backtest with **costs included** for realistic results.
- You can adjust portfolios dynamically, add or remove algos to see the impact.
- Forward Test and Algo Trading are also supported at the **portfolio level**.
The **Portfolio feature** is your tool to move beyond individual algos and start thinking about **basket-level performance and risk management**.
import Iframe from "../../src/components/Iframe";
---
// File: ra-algos/signals
# How to Use RA Algo Signals
[RA Algos](https://algotest.in/ra-algos?utm_source=docs) are ready-made strategies created by SEBI-registered Research Analysts (RAs). You can backtest them, review their performance, and deploy them directly through your linked broker account on AlgoTest.
We are taking an example algo to explain the flow.
### Step 1: Navigate to the RA Algos Section
1. Log in to your AlgoTest account.
2. From the top navigation bar, click on **RA Algos**.
3. You’ll see a list of verified algo strategies shared by SEBI-registered Research Analysts.
You can filter algos based on:
- **Algo Type** – Buying or Selling
- **Underlying** – NIFTY, BANKNIFTY, FINNIFTY, etc.
- **Deployment Days** – Weekdays or All Days
- **Margin Required** – Minimum to maximum capital needed
> ⚠️ **Note:** The displayed results are based on historical backtest data and not live trades.
### Step 2: View Algo Details
Click on any algo card to view more information such as:
- Strategy name and author
- Type: Positional / Intraday, Buy / Sell
- Required margin amount
- Historical performance metrics
- Trade log summary
This helps you understand how the algo performed in backtests before deploying it live.
### Step 3: Review Backtest Summary
Each algo includes a **Recommended Trade Log Summary** based on past performance.
Here, you can:
- View historical profit/loss and drawdowns
- Add brokerage, slippage, or taxes for more realistic performance metrics
- Understand the recommended deployment configuration
> **Disclaimer:** Historical results do not guarantee future performance.
### Step 4: Unlock or Save the Algo
To access full algo results or trading signals:
- Click **Unlock** to activate or purchase access.
- Or click **Save & Trade** to add it to your portfolio for later deployment.
Premium algos often include more detailed metrics and real-time signal access.
### Step 5: Complete Your KYC (If Required)
If you see a **KYC Rejected** tag on any algo, you’ll need to verify your SEBI compliance.
To complete your KYC:
1. Enter your **PAN** and **Date of Birth**.
2. Click **Submit** to verify.
3. Once verified, you’ll have access to all SEBI-approved RA Algos.
> **Why KYC?**\
> Required by SEBI to access algos from registered Research Analysts.\
> It ensures safe access, compliance, and a trusted trading environment.
### Step 6: Start Trading
Once your KYC is verified, you can:
- **Backtest**, **Forward Test**, or **Algo Trade** the RA strategies
- Deploy them directly to your linked broker account
- Track performance via your AlgoTest dashboard
> You’re now ready to trade verified RA Algos on AlgoTest!
---
// File: ra-algos/index
## RA Algos on AlgoTest
[RA Algos](https://algotest.in/ra-algo) are ready-made, SEBI-compliant trading strategies by Research Analysts that you can backtest, forward test, and automate directly on AlgoTest.
You can also find the [list of all the SEBI-registered Research Analysts](https://algotest.in/tools/research-analysts) on AlgoTest.
Reach out to our customer support on [Telegram!](https://docs.algotest.in/getting-started/join-telegram/)
---
// File: sample-algo-trading-strategies/non-directional-trading-strategy
# Non-Directional Algo Strategy Sample
:::warning
These strategies are for demonstration purposes only and are not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of these sample strategies.
:::
:::info
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
:::
## Non-Directional Strategy Defined
A non-directional strategy is a trading strategy in which the trader benefits when the market remains within a specific range. The trader can make a profit regardless of whether the market moves up or down within that range. In simple terms, with a non-directional strategy, traders are betting on the market staying sideways. Therefore, if the market doesn't move significantly, the trader makes money. These types of strategies have a higher accuracy of winning as the market often stays sideways.
### Meet AlgoTest
AlgoTest is an advanced platform for algorithmic trading. It allows traders to test trading strategies, simulate trades without using real money, and execute strategies accurately. This platform combines market complexity with user-friendly technology.
## Pre-built Non - Directional Strategy Template
Are you having trouble creating a non-directional strategy? No need to worry. AlgoTest offers a prebuilt template to help you learn how to create a non-directional strategy and understand what a non-directional strategy looks like.
This sample strategy is provided by AlgoTest so that its users can use it as a guide to create their non-directional strategy.
### Access Non-Directional Strategy Template
To get a sample of a non-directional strategy, just follow the straightforward steps outlined below.
- Create an account at [https://algotest.in](https://algotest.in).
- Click on the saved strategy button as shown in the image below
- Click on **Non-Directional Strategy** under the sample strategy section. It is under the **#920 straddle** as shown in the image below.
- You can backtest the strategy by clicking on the "start backtest" button as shown in the image below.
### The Logic Behind our Non-Directional Strategy
Having a ready-made strategy is just the starting point for a trader. There is no one-size-fits-all strategy in the market, but each strategy comes with its own set of risks and rewards. It's crucial for a trader to fully understand the strengths and weaknesses of their strategy and how it performs under different market conditions.
Considering that the market tends to stay range-bound around 70% of the time, we have the opportunity to develop a strategy tailored to capitalize on this market behaviour. By doing so, we increase the likelihood that the market will move in our favour, enhancing the accuracy of our non-directional strategies.
To take advantage of sideways movement, we will use an option-selling strategy. This means we are betting on non-directional movement by using a wider stop loss on options. A wider stop loss increases the likelihood of staying in the market for longer periods. This is beneficial because options gradually lose value over time (theta decay), even if the market remains at the same price. Ultimately, all at-the-money and out-of-the-money options expire worthless on expiry day.
## Strategy Entry & Exit Conditions
First, we need to determine whether this is an intraday or positional strategy. This will be an intraday strategy to avoid overnight risk, so we will exit the strategy on the same day. Now, we need to select the index on which we want to trade. Although we have selected BankNifty, you may choose any other index. Clearly defined [entry and exit rules](https://docs.algotest.in/execution-settings/entry-and-exit-order-type/) are essential in trading.
If you are creating the strategy on SENSEX, check the [Live SENSEX Option Chain](https://algotest.in/sensex-option-chain) before selecting an expiry and strike. You can compare Call and Put OI, Change in OI, volume, LTP, implied volatility and Greeks across different strikes. Use this data with your backtest results and risk rules before finalising the strategy.
### Entry
We will sell an ATM Call Option and an ATM Put Option at a specific time of day. To determine the best time to do so, you can backtest your strategy at different times using AlgoTest. Market movement is typically high in the morning, which is not ideal for a non-directional strategy. Therefore, we have selected 10:30 AM as the entry time for our sample strategy. Based on this, we will sell the ATM Call and ATM Put at 10:30 AM. As this is an intraday strategy, we will also exit our positions at 03:15 on the same day.
We can add an ATM CE & ATM PE Leg from the leg builder by clicking on the Add Leg button.
### Exit
However, having good accuracy in a non-directional strategy doesn't always guarantee that the market will move in our favour. There will be days when the market doesn't go our way, or when it's in a trending phase, which is a nightmare for a non-directional trader. To manage risk, we will set a stop loss of 70% on each Call Option (CE) and Put Option (PE) leg. So if the market moves in one direction and hits our stop loss on one side, the other side will end up giving some profit.
### Advance Risk Management
A trader must have a strong psychology. A significant loss in a single trade can disrupt your ability to trade systematically. To mitigate this risk, we will limit our daily loss for the strategy to Rs. 1000 per lot. This limit will be applied to the combined strategy, meaning that if our strategy incurs a loss at any point in the day, we will cease trading for that day.
## Conclusion
There is no holy grail in the stock market. Every strategy we create has its pros and cons. No single strategy can guarantee profits every day. Therefore, it is always better to use the sample strategies provided by AlgoTest to get an idea and create your strategy based on your risk tolerance. You can try different permutations and combinations and backtest your strategy using AlgoTest to understand how it will perform in different market scenarios.
## Other Sample Strategies :
### [:Directional
Strategy](https://docs.algotest.in/sample-algo-trading-strategies/directional-strategy-sample/)
---
// File: sample-algo-trading-strategies/directional-strategy
# Trending or Directional Algo Strategy
:::warning
These strategies are for demonstration purposes only and are not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of these sample strategies.
:::
:::info
[:For
any queries, reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
:::
## Directional or Trending Strategy Defined
A directional strategy is a trading approach where the trader profits when the market moves in one specific direction. In simple terms, traders using a directional strategy are essentially making a bet on the market moving either up or down. Consequently, if the market moves significantly, the trader stands to make money. These strategies typically have lower accuracy compared to non-directional strategies, but they offer a higher risk-to-reward ratio.
## Meet AlgoTest
AlgoTest is an advanced platform for algorithmic trading. It allows traders to test trading strategies, simulate trades without using real money, and execute strategies accurately. This platform combines market complexity with user-friendly technology.
## Pre-built Directional Strategy Template
Are you having trouble creating a directional strategy? No need to worry. AlgoTest offers a pre-built template to help you learn how to create a directional strategy and understand what a directional strategy looks like.
This sample strategy is provided by AlgoTest so that its users can use it as a guide to create their directional strategy.
### Access Directional Strategy Template in AlgoTest
To get a sample of a directional strategy, just follow the straightforward steps outlined below.
- Create an account at [https://algotest.in](https://algotest.in).
- Click on the saved strategy button as shown in the image below
- Click on Trending Strategy under sample strategy under #920 straddle. It will show you a strategy as shown in the image below.
- You can backtest the strategy by clicking on the "start backtest" button as shown in the image below.
## Logic Behind our Directional Strategy
Having a ready-made strategy is just the starting point for a trader. There is no one-size-fits-all strategy in the market, but each strategy comes with its own set of risks and rewards. It's crucial for a trader to fully understand the strengths and weaknesses of their strategy and how it performs under different market conditions.
To take advantage of one-sided price movement, we will use an option-selling strategy, which will give us profit when the market is in a one-sided trend. The market usually remains sideways most of the time, but once in a while, when prices move in one direction, it gives high risk to reward.
This is a directional option selling strategy. In this strategy, we will sell an At-The-Money (ATM) Call Option (CE) and an ATM Put Option (PE) at a specific time on a day with a small stop loss set at 20%. If the market trends in any direction, our one side will incur a small stop loss while the other side will yield a significant profit. This strategy is most effective on trending days.
## Strategy Entry & Exit Conditions
First, we need to determine whether this is an intraday or positional strategy. This will be an intraday strategy to avoid overnight risk, so we will exit the strategy on the same day. Now, we need to select the index on which we want to trade. Although we have selected Nifty, you may choose any other index. Clearly defined: Entry [and exit rules](https://docs.algotest.in/execution-settings/entry-and-exit-order-type/) are essential in trading.
### Entry
We will sell an ATM Call Option and an ATM Put Option at a specific time of day. To determine the best time to do so, you can backtest your strategy at different times using AlgoTest. Market gives one sided moves usually in the morning, which is ideal for a directional strategy. Therefore, we have selected 9:17 AM as the entry time for our sample strategy. Based on this, we will sell the ATM Call and ATM Put at 9:17 AM. As this is an intraday strategy, we will also exit our positions at 03:15 on the same day.
We can add an ATM CE & ATM PE Leg from the leg builder by clicking on the Add Leg button.
### Exit
To manage risk, we will set a stop loss of 20% on each Call Option (CE) and Put Option (PE) leg, so that we can exit our trades with minimal loss when the markets are against us.
## Conclusion
There is no holy grail in the stock market. Every strategy we create has its pros and cons. No single strategy can guarantee profits every day. Therefore, it is always better to use the sample strategies provided by AlgoTest to get an idea and create your strategy based on your risk tolerance. You can try different permutations and combinations and backtest your strategy using AlgoTest to understand how it will perform in different market scenarios.
## Other Sample Strategies :
### [:Non-Directional
Strategy](https://docs.algotest.in/sample-algo-trading-strategies/non-directional-strategy-sample/)
---
// File: sample-algo-trading-strategies/buying-strategy
# Option Buying Algo Strategy Sample
:::warning
These strategies are for demonstration purposes only and are not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of these sample strategies.
:::
:::info
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
:::
## Option Buying Strategy Defined
An option buying strategy is a trading approach in which the trader profits from rapid market movements in one direction. In simple terms, with a buying strategy, traders are making bets on the market moving either up or down. Therefore, if the market moves significantly, the trader makes money. These strategies have lower accuracy compared to option selling strategies but offer a good risk-reward ratio.
## Meet AlgoTest
AlgoTest is an advanced platform for algorithmic trading. It allows traders to test trading strategies, simulate trades without using real money, and execute strategies accurately. This platform combines market complexity with user-friendly technology.
## Pre-built Option Buying Strategy Template
Having trouble creating an option buying strategy? Don't worry! AlgoTest provides a pre-built template to help you learn how to create a buying strategy and understand what it looks like.
This sample strategy is offered by AlgoTest to guide its users in creating their own option buying strategy.
### Access Buying Strategy Template in AlgoTest
To get a sample of a buying strategy, just follow the straightforward steps outlined below.
- Create an account at [https://algotest.in](https://algotest.in).
- Click on the saved strategy button as shown in the image below
- Click on Buying Strategy under sample strategy under #920 straddle. It will show you a strategy as shown in the image below.
- You can backtest the strategy by clicking on the "start backtest" button, as shown in the image below.
### Logic Behind the Option Buying Strategy
Having a ready-made strategy is just the starting point for a trader. There is no one-size-fits-all strategy in the market, but each strategy comes with its own set of risks and rewards. It's crucial for a trader to fully understand the strengths and weaknesses of their strategy and how it performs under different market conditions.
If you monitor the market daily, you will notice significant movement during morning trading hours. Therefore, we plan to enter the market in the morning. The key question is when to enter. Since we intend to take a directional trade, we want to enter when the market is moving either up or down. Therefore, we will only enter a trade when there is a specific movement in one direction. This approach allows us to trade in line with the market movement.
We will select an ATM call option and ATM put option in the morning at a specific time and wait for them to move approximately 20% higher. If they move in that direction and satisfy our momentum condition, we will take the trade. Since option buying is less accurate, we will use small stop losses to minimise losses and implement a trailing stop loss to capitalise on market movements in our favour.
## Strategy Entry & Exit Conditions
First, we need to determine whether this is an intraday or positional strategy. This will be an intraday strategy to avoid overnight risk, so we will exit the strategy on the same day. Now, we need to select the index on which we want to trade. Although we have selected BankNifty, you may choose any other index. Clearly defined [:entry
and exit rules](https://docs.algotest.in/execution-settings/entry-and-exit-order-type/) are essential in trading.
### Entry
We will monitor the price of the ATM call and the ATM put at 9:17 am and will buy them when they give a 20% momentum upside from the price we calculated at 9:17 am. Market movement is typically high in the morning, which is ideal for a buying strategy. Therefore, we have selected 9:17 am as the entry time for our sample strategy. To determine the best time to do so, you can backtest your strategy at different times using AlgoTest.
We can add an ATM CE and ATM PE leg using the leg builder by clicking the Add Leg button.
We have enabled a 20% upward momentum for entering.
### Exit
After entering a trade, it's important to manage our risk in case the market moves against us. We will set our stop loss (SL) at 20% below our entry price for each Call Option (CE) and Put Option (PE) leg. Since option buying has low accuracy due to theta decay, we have used a smaller stop loss. You may also backtest your strategy with different types of stop losses.
### Protecting our Profit
In an option buying strategy, it is essential to protect our profit once our trades move in our favour. Therefore, we can add a trailing feature to our strategy. For example, if the market moves 10 points in our direction, we will trail our stop loss by 10 points.
## Conclusion
There is no holy grail in the stock market. Every strategy we create has its pros and cons. No single strategy can guarantee profits every day. Therefore, it is always better to use the sample strategies provided by AlgoTest to get an idea and create your strategy based on your risk tolerance. You can try different permutations and combinations and backtest your strategy using AlgoTest to understand how it will perform in different market scenarios.
---
// File: sample-algo-trading-strategies/range-breakout-strategy
# How to Create and Backtest a Range Breakout Strategy
:::warning
These strategies are for demonstration purposes only and are not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of these sample strategies.
:::
:::info
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
:::
A range breakout strategy is a type of trading strategy where we identify the high and low of a specific candle, which could be on a 5-minute, 15-minute, or any other time frame chart, and then wait for the price to break out of this range. If the price breaks above the high of the range, we take a bullish trade, and if the price breaks below the low of the range, we take a bearish trade.
## Requirement for Backtesting on AlgoTest
For backtesting on AlgoTest, you need:
1. [An AlgoTest account](https://algotest.in/register)
2. A Strategy Logic
## Creating & Backtesting a Range Breakout Strategy
To create any strategy, you should first have sound logic or an idea on which you want to base and [backtest the strategy.](https://algotest.in/feature/backtest?utm_source=doc\&utm_medium=organic\&utm_campaign=seo) To get an idea, you can view past charts of the instrument and observe how the market is behaving and which patterns are occurring frequently. Based on these patterns, you can generate an idea.
**For example**, if we look at the charts these days, we see that the market often makes significant movements in the last half an hour before closing. This observation could lead us to create a breakout option selling strategy to capitalize on the momentum of the last hour. Now that we have the idea of creating a breakout strategy, the next question is under what conditions we take entry or exit.
### Entry & Exit Logic
Our strategy logic is straightforward. We will implement a 15-minute candle range breakout strategy on Nifty. First, we will choose the 15-minute candle at 02:45 on the one-strike-away ITM CE & PE option chart, which means the candle will be from 02:45 to 03:00. We will note the low of this candle and patiently wait for the price to break the low. If the price breaks the low of our CE strike, we will sell the CE option of the same strike. Similarly, if the price breaks the low of our PE strike, we will sell the PE option.
### PE Entry & Exit Explained :-
We will choose one strike away In the Money (ITM) PE option chart for the Nifty at 02:45. We will mark the low of the 02:45 candle on the 15-minute time frame, which is the low of the 15-minute range from 02:45 to 03:00. We will wait for the low to break, and if it does, we will enter a Put Sell position of the same strike.
Our stop loss will be the high of the 02:45 candle, i.e., the high of the 02:45 to 03:00 range. So, after our entry, if the price breaks the high of the 02:45 candle, we will exit the trade.
### CE Entry & Exit Explained :-
We will select a one-strike-away In the Money (ITM) CE option chart for the Nifty index at 2:45 PM and mark the low of the 02:45 PM candle on a 15-minute time frame, which is the low of the 15-minute range from 02:45 to 03:00. We will wait for the low to break. If it breaks, we will enter a Call-Sell position of the same strike.
Our stop loss will be the high of the 2:45 PM candle, which is the high of the 2:45 PM to 3:00 PM range. Therefore, after entering the trade, if the price breaks the high of the 2:45 PM candle, we will exit the trade.
## BackTesting Candle Breakout Strategy in AlgoTest
To backtest our candle breakout strategy follow the simple steps as shown below:-
- Create an account at [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
- You will get 25 free backtests every week.
- To Create a strategy, first Click on Create Strategy on the AlgoTest dashboard. It will open a new strategy creation page as shown in the image below
- Let me explain some of the features of the Instrument Settings & Entry Settings Section you should know about to create this strategy.
**Strategy Type**:- Intraday/BTST/Positional:- We have the option if we want to create an Intraday strategy or positional.\
**Entry Time**:- The time at which we want to initiate our strategy condition.\
**Exit Time**:- The time at which we want to exit our positions.\
**Select Index**:- Here we can select the instrument ( For example nifty/bank nifty/Sensex etc)\
**Underlying From**:- Cash/futures:- If we select cash it means our strikes will be selected based on index spot price or futures price.
- According to our Strategy, we are going to enter
**Strategy Type**:- Intraday\
**Entry Time**:- 02:45 (As our range is 02:45 to 03:00)\
**Exit Time**:- 3:29 (As it is an intraday strategy, therefore we will exit at 03:29)\
**Index**:- Nifty\
**Underlying**:- Cash
- Set up these as shown in the image below
- Let me explain some more features of Leg Builder you should know about to create this strategy.
**Select Segments**:- You can select segments between Options/Futures\
**Total lot**:- Enter the Quantity\
**Position**:- Can select if you want to buy an option/futures or sell an option/futures\
**Option Type**:- Can select between Call/put\
**Expiry**:- Option to select if you want to trade this week's expiry/ next week's expiry/ monthly expiry\
**Select Strike Criteria**:- Different Methods to select a strike
- Now we have to add a call leg from the leg builder. So, According to our Strategy, we are going to enter
**Select Segments**:- Options ( Because we want to trade in options)\
**Total Lot**:- 1 (Quantity we want to test with 1 lot)\
**Position**:- Sell (We are Selling Option here.)\
**Option Typing**:- Call (First we add a Call leg then in the next step we will add a Put leg)\
**Expiry**:- Weekly (We want to trade only in the current week's expiry)\
**Select Strike Criteria**:- Strike Type:- ITM 1 (We want to select a strike which is 1 strike In The Money)
- Set up the above settings as shown in the image below.
- After setting up the condition, click on Add Leg. It will show you the interface.
- In the above settings, we have added a Call leg from leg builder. Now we are going to add a Put Leg from Leg Builder. So enter the below settings in Leg Builder & click on add leg.
**Select Segments**:- Options ( Because we want to trade in options)\
**Total Lot**:- 1 (Quantity we want to test with 1 lot)\
**Position**:- Sell (We are Selling options here)\
**Option Typing**:- Put (Want to Add Put Leg Now)\
**Expiry**:- Weekly (We want to trade only in the current week's expiry)\
**Select Strike Criteria**:- Strike Type:- ITM 1 (We want to select a strike which is 1 strike In The Money)
- After Clicking on Add leg, it will show you the interface as shown in the image below
- We aim to mark a low 15-minute range of CE and PE and want to trade when the range breaks, so we will enable the range breakout feature as shown in the image below for the CE leg first.
- When we enable the range breakout option, a prompt will appear, asking us to choose the range we want to select. Since we want to select the low of the range from 02:45 to 03:00, we should remember that we already selected the initial range at the entry time when we initially created this strategy. Now, for the ending range, we need to input 03:00 and select 'low' in the high/low option, then click on the OK button. Currently, we are selecting the price range on the option chart, so we will not enable the underlying option as shown below. If you prefer the candle range to be based on index spot data, you can enable this underlying option.
- Once you click the OK button, it will display the range breakout inputs for the CE leg, as shown in the image below.
- Now we will add a stop loss to our strategy, which will be the candle high. To do this, we will enable the stop loss option and select "range breakout" from the dropdown as shown below.
- We will set our stop loss at the high of the candle, which will be the same distance from our entry price as the total opening range breakout (ORB) range. We will express our stop loss in terms of the ORB range. We will select our stop loss to be the same as the ORB Range as indicated in the image below.
- As we have set up entry and exit for the CE leg, we will follow the same process for the PE leg and complete the setup as shown in the image below.
- To save the strategy, click on the save button located on the bottom right, and then save it with any name you like (for example, "Range Breakout Strategy"). To backtest the strategy, choose the desired period and click on backtest, as shown in the image below.
- It will show you the backtest results and stats of this strategy as shown in the image below. To know how to interpret these stats please [click here.](https://docs.algotest.in/backtest/backtesting-terms/)
:::warning
The strategy presented in this blog is for demonstration purposes only, to illustrate how you can turn an idea into a strategy. You can use the idea from this strategy and further enhance it based on your risk tolerance.
:::
---
// File: sample-algo-trading-strategies/scalping-strategy
# Scalping Strategy
:::warning
These strategies are for demonstration purposes only and are not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of these sample strategies.
:::
:::info
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
:::
## What is Scalping?
Scalping is a way of trading where people make many small, quick trades to earn money from tiny price changes. The idea is to buy and sell things like stocks fast, hoping to make a little bit of money each time. Scalpers do this many times in one day, usually holding on to what they buy for just a few seconds or minutes before selling it.
## Types of Scalping Strategies
There are several types of scalping strategies that traders use to profit from small price movements. Here are some common types:
- **Indicator-Based Scalping**: This is scalping based on signals from Technical indicators. Traders use technical indicators like Moving Averages, Bollinger Bands, or Relative Strength Index (RSI) to identify short-term price movements. They make trades based on signals from these indicators, such as when a stock is overbought or oversold.
- **Price Action Scalping**: This type involves analysing the price movements without using indicators. Traders focus on patterns, support, resistance levels, and price trends to make quick trades based on how the market is behaving in real time.
- **Momentum Scalping**: In this type, We look for strong price movements in one direction, either up or down, and quickly enter trades to generate profit from the ongoing trend. Once the price shows signs of slowing down or reversing, we exit the trade accordingly.
- **News-Based Scalping**: This strategy is all about jumping on the News. Here we take advantage of sharp price movements caused by breaking news or economic reports. Scalpers quickly enter and exit trades during these volatile moments, capitalizing on the increased activity in the market.
- **Order Flow Scalping**: In this strategy, we watch the flow of orders in the market to predict short-term price changes whether upwards or downwards. We look at things like the number of buy and sell orders and how quickly they are being filled to identify where the price might go next.
- **Range Trading**: Range based Scalping involves identifying a price range where an asset tends to move between a certain high and low point. Scalpers buy near the low end of the range and sell near the high end, making small profits as the price moves within the range.
### Benefits of Scalping:
1. **Quick Returns**: Scalping allows traders to quickly lock in small profits multiple times throughout the day.
2. **Lower Market Exposure**: With trades held for such short periods, scalpers minimize their exposure to market risk and potential adverse price movements.
3. **Adaptability**: Scalping can be used in various markets like stocks, forex, or cryptocurrencies, making it a versatile strategy.
4. **Less Reliant on Broad Market Trends**: Scalpers focus on intraday price movements, meaning they don't need to predict long-term trends, making it ideal for volatile or sideways markets.
### Overview of the AlgoTest Platform and Its Features
AlgoTest is a robust platform designed to help traders create and test scalping strategies efficiently. It offers features such as backtesting and real-time market data integration, enabling users to refine their trading strategies through accurate simulations. By leveraging this technology, traders can manage risk more effectively and work towards achieving consistent results in short-term trading.
## Step-by-step guide on how to use AlgoTest to create a Scalping Strategy
### Step 1: Log into Your AlgoTest Account
- Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) and click on "New Strategy '' under the 920 Straddle.
### Step 2: Set Up the Entry and Exit Time
- **Instrument Selection**: Select the index on which you want to make scalping strategy. We have selected Nifty for now
- **Time to Execute**: The trade should be executed at 09:17 AM. This is our entry time.
- **Exit Time**: The trade will automatically exit at 03:14 PM if the targets or stop-loss are not hit before then.
- This is done to avoid any last-minute volatility near the market close.
**Now your settings look like this :**
### Step 3: Set Premium Selection to Closest
- Closest Premium: Sell the call and put options with a premium close to 90 on each side.
### Step 4: Set Stop-Loss, Trail SL, Momentum
- **Stop-Loss (SL)**: Set the legwise stop-loss to 20%.
- This means if the premium of 90 decreases to 72, your leg will be exited.
- **Trailing SL**: Set a trailing stop-loss to lock in profits.
- When the profit reaches 10%, set a trailing stop of 10%.
- **Momentum**: Set the Momentum to 7.5% Upside.
Now you Strategy Page looks like this
### Step 5: Set Overall Setting
- **Overall Stop-Loss (SL)**: For reference, we are capping max loss at Rs 100
- This means if the max loss reaches 100, your legs will be exited.
- **Overall Re-entry on SL**: Overall Re-entry is triggered only in the case when the Overall strategy Stop Loss gets hit.
**Now your Strategy Page looks like this:**
## Key Points to Remember:
- **Keep Stop Loss and Trailing SL**: Always keep a Stop Loss while doing Scalping as Scalping is all about quick profits and minimising losses.
- **Risk Management**: Implement robust risk management techniques, including stop-loss orders and position sizing.
- **Market Liquidity** : Focus on highly liquid markets (e.g., index, stocks, or futures) where spreads are narrow, and trades can be executed quickly.
### Additional Tips:
- Consider using renentry if you book profits.
- Experiment with different entry and exit points to optimise your strategy.
- Stay updated on market news and events that could impact your strategy.
By following these steps and incorporating best practices, you can effectively create and implement scalping strategies using AlgoTest.
### Benefits of using AlgoTest for Options Trading
AlgoTest is a versatile tool designed to help traders build, analyse, and optimise options trading strategies. Here's how it benefits users:
1. **Customization**:
- Easily create or adjust strategies by modifying parameters like strike prices, expiry dates, and asset choices.
2. **Backtesting & Optimization**:
- Test strategies using historical data to evaluate potential performance and risk.
- Optimise strategies by adjusting settings and analysing their impact to find the best configurations.
3. **Risk Management**:
- Assess risks with tools that calculate maximum loss, profit probability, and break-even points.
- Set stop-loss and take-profit orders to manage risks and protect investments.
4. **Real-Time Monitoring**:
- Access live market data to track strategy performance in real-time.
- Set alerts to notify you of important price movements or strategy milestones.
5. **Educational Resources**:
- Explore youtube videos, tutorials, articles, and webinars to enhance your understanding of options trading.
6. **Platform Integration**:
- Seamlessly execute strategies through API integration with all major brokers.
By using AlgoTest, traders can fine-tune their strategies, make smarter decisions, and manage risk more effectively, potentially boosting profitability.
:::warning
These strategies are for demonstration purposes only and are not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of these sample strategies.
:::
---
// File: signals/index
import Iframe from "../../src/components/Iframe";
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
# AlgoTest Signals - Automates your Indicator based algo strategies
## Introduction
:::tip
Are you looking for a way to automatе your indicator based strategy without coding or hiring a dеvеlopеr? Do you want to savе timе, rеducе human еrrors, and optimise your pеrformancе?
***
If yеs, thеn you nееd to chеck out [**AlgoTеst Signals**](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals).
:::
:::info
**AlgoTеst Signals** is a nеw product by AlgoTеst that еnablеs tradеrs to automatе thеir indicator based strategies. [:TradingViеw](https://docs.algotest.in/signals/signal-connection/) and [:ChartInk](https://docs.algotest.in/signals/signal-connection-chartink/) are two popular platforms for creating and backtеsting trading strategies using various indicators, tools, and charts.
:::
By using **AlgoTеst Signals**, you can automate your indicator based strategy. So if your indicator generates a buy or sell signal in **TradingView** or **ChartInk**, it will be directly executed on the broker terminal through **AlgoTest's Signals**.
In this documentation, you will learn:
- How [**AlgoTеst Signals**](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals) works and what arе thе steps involved in thе procеss.
- Why you nееd **TradingViеw Essеntial** and **ChartInk Premium** to usе AlgoTеst Signals and how it comparеs to othеr TradingViеw and ChartInk plans.
- How to choosе thе right AlgoTеst plan for your nееds and budgеt.
- How to gеt startеd with AlgoTеst Signals and sign up.
## How Signals Works - Indicator Based Algo Trading
TradingView has an inbuilt feature called Alerts. Let's assume you want to execute a future buy trade when the RSI crosses above 70 in the nifty 5-minute chart. You also don’t want to sit in front of charts all day to wait for RSI to cross 70.
Using the alert feature you can set an alert such that if the RSI crosses 70 you will receive an alert on your mobile via SMS, email, or notification. So when the RSI crosses 70 it alerts you and you can execute the trade on the broker.
If you don’t want to execute this trade manually on the broker end, you can use the AlgoTest's Signals to automate this indicator based strategy. AlgoTest Signals will catch this alert and execute automatically on your broker end, based on your instructions.
**You just have to create an alert on TradingView and connect it with AlgoTest and done. Your indicator-based algo is ready to execute your trades automatically for you.**
## Why do algorithmic trading using technical indicators?
Technical indicators are mathematical calculations based on price, volume, or open interest data that traders use to analyze market trends, patterns, and potential future price movements. Here's what they typically do:
1\. **Identify Trends:** Technical indicators help traders spot ongoing trends (upward, downward, or sideways) by smoothing out price data and highlighting the overall market direction. Examples include Moving Averages and the Average Directional Index (ADX).
2\. **Generate Buy/Sell Signals:** Many indicators provide clear entry and exit signals based on predefined criteria, such as when certain levels are crossed. For instance, the MACD indicator gives buy/sell signals when the MACD line crosses above or below the signal line.
3\. **Measure Momentum:** Momentum indicators evaluate the strength or weakness of a price movement. For example, the RSI and Stochastic Oscillator measure how quickly prices are moving and whether they are likely to reverse.
4\. **Determine Overbought/Oversold Conditions:** Indicators like RSI and Williams %R help traders assess when an asset might be overbought (potentially overvalued) or oversold (potentially undervalued), signaling possible reversals.
5\. **Gauge Market Volatility:** Volatility indicators, like Bollinger Bands, provide insights into the market's volatility by showing how much the price deviates from its average, helping traders decide when to enter or exit trades.
6\. **Analyze Market Volume:** Indicators like On-Balance Volume (OBV) track the strength of a price move by correlating it with volume. This helps traders confirm trends or spot divergences.
7\. **Identify Support and Resistance Levels:** Some indicators, such as Pivot Points and Fibonacci Retracement Levels, help identify key support and resistance levels where price is likely to reverse or consolidate.
8\. **Predict Potential Reversals:** Indicators like the Parabolic SAR and MACD can signal trend reversals, helping traders take advantage of potential market shifts.
Overall, technical indicators are essential tools for traders to make informed decisions, assess the market environment, and enhance the precision of their trading strategies.
## List of Technical Indicators
Here is a list of some Technical Indicators that can assist you in setting up your algorithmic trading journey.
1\. **Relative Strength Index (RSI):** is a technical indicator that measures the speed and change of price movements, commonly used to identify overbought or oversold conditions.
2\. **Moving Average (MA):** A trend-following indicator that smooths out price data to identify the direction of the trend.
3\. **Moving Average Convergence Divergence (MACD):** Shows the relationship between two moving averages to identify potential buy or sell signals.
4\. **Bollinger Bands:** Plots three lines: a simple moving average and two standard deviations (one above and one below). Used to measure volatility.
5\. **Stochastic Oscillator:** Compares a particular closing price to a range of prices over time to generate overbought and oversold signals.
6\. **Average Directional Index (ADX):** Measures the strength of a trend, with values above 25 indicating a strong trend.
7\. **Ichimoku Cloud:** A comprehensive indicator that identifies support and resistance, trend direction, momentum, and trading signals.
8\. **Fibonacci Retracement Levels:** Horizontal lines that indicate areas of support or resistance at key levels based on the Fibonacci sequence.
9\. **Volume Weighted Average Price (VWAP):** Provides the average price a security has traded at throughout the day, weighted by volume.
10\. **Parabolic SAR:** Provides entry and exit points by identifying the direction of an asset's momentum and potential reversal points.
11\. **Williams %R:** A momentum indicator that helps identify overbought and oversold levels.
12\. **Pivot Points:** Used to determine potential support and resistance levels based on historical price data.
13\. **On-Balance Volume (OBV):** Measures buying and selling pressure by considering volume changes relative to price direction.
14\. **Chande Momentum Oscillator (CMO):** Measures the momentum of price changes and helps identify overbought and oversold conditions.
15\. **Donchian Channels:** Shows the upper and lower price range over a specific time period, helping to identify breakout signals.
---
// File: signals/APIs/signals-api
# Signals API
The **Signals API** is for developers who want to automate stocks and options strategies with code, rather than a no-code builder or a single webhook alert. It gives you a unified, JSON-based API to place, manage, and monitor trades across 45+ brokers from your own Python code, without writing separate integrations for each broker.
## When to use the Signals API instead of Signals AI or Custom Signals
| Option | Best for |
| --- | --- |
| [Signals AI](https://docs.algotest.in/Signals-AI/) | Indicator-based strategies you can describe in plain English or build visually, no coding required |
| [Custom Signals](/signals/custom-signals) | A single webhook alert triggering a pre-built AlgoTest strategy leg from any script or platform |
| **Signals API** | Full programmatic control: fetch contracts, stream live market data, run your own strategy logic in code, and place orders with retry and tagging, across multiple brokers with one integration |
## What you get
- **Auth & token management** - handled for you, no need to build broker-specific auth flows
- **Programmatic contract fetching** - pull option chain and instrument data directly
- **Live market feed** - stream real-time prices into your own strategy code
- **Trade execution with retry + tagging** - place, track, and manage orders reliably across brokers
- **Forward testing support** - test strategies virtually before going live
## Full API reference
The complete API reference, authentication guide, and endpoint documentation live on a separate site:
**[https://algo-test.github.io/api-docs/](https://algo-test.github.io/api-docs/)**
## Related
- [Custom Signals](/signals/custom-signals) - if you just need a webhook trigger rather than full programmatic control
- [Trade Signals](/signals/trade-signals) - to place trades directly from a webhook message, no API integration needed
---
// File: signals/APIs/trade-signals
# Trade Signals
**Trade Signals** on [AlgoTest](https://algotest.in/signals) allows you to directly take trades by simply sending a webhook alert from any platform like TradingView. Whether you're trading in Stocks, Futures, or Options, you can now trigger exact trades without pre-defining them in a strategy.
This feature is perfect for advanced traders who want full control over their trades using their own alerts.
## How It Works
With **Trade Signals**, you don’t need to create a separate leg or define a stock in advance.
Instead, you:
- Create a signal on AlgoTest
- Copy the webhook URL
- Paste it in your TradingView alert
- Define your trade directly in the alert message
That’s it. AlgoTest will take the trade automatically when the alert is triggered!
## Trade Message Format (What You Send in Alert)
You just write the trade in a simple format:
```
[Ticker] [buy/sell] [Quantity]
```
### Example:
```
INFY buy 10
INFY1! sell 4
NIFTY250417C23000 buy 1
NIFTY250417P23000 sell 2, NIFTY250417C23000 sell 2
```
- AlgoTest will read this alert and place the correct orders.
- You can even send multiple trades in one alert, separated by commas.
## Supported Formats
- **Cash Market**:\
`INFY` → Infosys equity stock
- **Futures (Current Month)**:\
`INFY1!` → Infosys Futures (Front Month)
- **Futures (Next Month)**:\
`INFY2!` → Infosys Futures (Next Month)
- **Options**:\
`NIFTY250417C23000` → NIFTY Call Option, expiry 17-Apr-2025, strike 23000\
`C` is for Call, `P` is for Put
## User Flow: Setup in 5 Minutes
### 1. Create a New Trade Signal on AlgoTest
- Go to **AlgoTest > Signals Dashboard**:
- Go to **Trade Signals**:
- Click **"Create New Signal"** :
- Choose between **Forward Test** or **Algo Trading**:
- Give it a name:
- You can now select the order type:
- Copy the **Webhook URL**:
### 2. Paste the Webhook in Your Alert Platform (e.g., TradingView)
- Go to your TradingView alert
- Paste the **Webhook URL** in the designated field
- Enter your trade message (like the examples above) in the alert message box
Now you’re ready to go! When your alert triggers, AlgoTest executes the trade.
## Forward Test vs Live Trade
- **Forward Test**: Simulates trade execution without placing real orders. Great for testing.
- **Live Trade**: Executes actual trades via your broker. Make sure your broker is connected.
## Broker Integration
AlgoTest supports **45+ brokers.**
### To start trading:
1. Connect your broker in AlgoTest settings
2. Create your signal in **Algo Trade**
3. Your next alert will place a real order
***
## Order Type:
Order types determine how long a position can be held, whether it will be squared off automatically, and how much margin is required. Selecting the correct order type ensures the position behaves as intended.
### MIS (Margin Intraday Square-off)
**Purpose:** Intraday trading\
**Holding Period:** Same trading day only\
**Margin Requirement:** Lower margin due to intraday leverage\
**Square-off:** Auto square-off before market close
**When to use:**
- Intraday strategies in equities, futures, or options (where supported)
- Trades not intended to be carried overnight
### CNC (Cash & Carry)
**Purpose:** Delivery-based equity trading\
**Holding Period:** Unlimited\
**Margin Requirement:** Full payment; no leverage\
**Square-off:** No auto square-off
**When to use:**
- Buying shares for delivery to the demat account
- Long-term or short-term investing
### NRML (Normal)
**Purpose:** Carry-forward F\&O trading\
**Holding Period:** Allowed to hold overnight and until expiry\
**Margin Requirement:** Requires full overnight margin; no intraday leverage\
**Square-off:** No auto square-off (except on expiry as per exchange rules)
**When to use:**
- Futures and options positions intended for multi-day or overnight holding
- Positional strategies, spreads, and hedged trades
## Important Notes
- Supports only **stocks and F\&O-enabled instruments**
- Up to **8 trades per alert**
- Works across **Cash, Futures, and Options** segments
- No need to define legs or instruments in advance, alerts control everything
***
## Managing Trades: Square Off All & Add External Trades
Once a signal is live, you can manage its open positions directly from the Signals **View Trades** panel.
### Square off all (SQ All)
Square off all (SQ All) lets you square off every open position for a signal in a single click, instead of closing each one manually.
**Steps to use SQ All:**
1. Go to the **Signals** section from the main menu.
2. Select the relevant signal.
3. Click **View Trades** to see all open positions.
4. Click **Square off all (SQ All)**.
5. Confirm the action in the pop-up to square off all open positions for that signal at once.
### Add External Trades
Add External Trades lets you attach a trade you took manually on your broker (at your own price and quantity) to a signal, so its P\&L is analysed based on that entry. You manage it from the same **View Trades** panel, alongside the signal's other legs.
**Steps to use Add External Trades:**
1. In the **View Trades** panel, click **Add External Trade**.
2. Fill in **Broker**, **Underlying**, **Instrument Type**, **Expiry**, **Strike**, **Option Type**, **Position**, **Lots**, and **Price**, then click **Add Trade**.
This is useful when you've traded manually on your broker and want that trade tracked alongside the signal. You can square it off, or delete it, from the same panel.
> **Important:** Adding or deleting trades within Signals View Trades does not affect your actual broker account positions - it's solely for tracking and management within AlgoTest's interface.
***
## Need Help?
- **Telegram Support**: [Join our group](https://t.me/algotest_signals)
---
// File: signals/Advanced-Features/signals-broker-level
# Broker Level Settings
At [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest), you have the luxury of setting up Stop Loss, Target and Trailing Stop Loss on all the strategies that you deployed on a specific broker on the platform. These settings are called "Broker Level Settings".
These settings will apply to all the strategies that you deploy through AlgoTest, but not on trades that you make manually through your broker. To access these settings, you can go to the "live trade" page in AlgoTest, but note that this feature is only available after you have deployed a strategy.
## How to configure Broker Level Settings
To configure broker-level settings, you just need to follow a few simple steps. See the instructions below for guidance.
- Please navigate to the ["Signals Algo Trade"](https://algotest.in/live/signals?type=LIVE\&utm_source=documentation\&utm_medium=internal\&utm_campaign=seo) page in Algotest by clicking on the corresponding button as displayed in the image below.
- Click on Signals - - > Executions - - > AlgoTrade - - > MTM
- On the Live Trade page, you can view your deployed strategy/portfolio and the running MTM of a specific broker. To add Broker Level Settings, click on the "Add Settings".
- Click on the "Edit" button, as illustrated in the image below.
- Now there is an option to set broker level Stop Loss, Target and Trailing. You can choose the desired feature and save the settings by clicking on "setup" button.
- Assuming that our loss exceeds 5000, the system will square off all our strategies. To set this up, we must enter 5000 in the stop loss field and click the "Setup" button.
- Our broker level settings are added. Now, as soon as our stop loss breaches 5000, all our running strategies will be squared off.
## How Broker Level Target Works
In Algotest, you can set a broker level target that applies to all deployed strategies. This target automatically squares off all running strategies once it's reached.
***
For instance, if you set the broker level target to 5000, as soon as it crosses, all strategies will be squared off. It's important to note that this setting needs to be updated daily.
To set a target at the broker level, please follow the steps below:
- To proceed, kindly locate and click on the 'Target Profit' button as indicated in the image below.
- We want that if the overall profit of deployed strategies reaches 10000, the system will automatically square off all my strategies. To set this up, I will enter 10000 in the target and click the "Setup" button.
- Our broker level settings have been configured to automatically square off all running strategies once the target of 10000 is reached, as shown in the image below.
## How Broker Level Trailing Works
This feature allows you to trail the overall profit or loss of your deployed strategies. To access the trailing options, click on "Trailing Options".
This feature provides three options for trailing: Overall Trail SL, Lock Profit, and Lock and Trail.
### Overall Trail SL
This feature allows you to trail your broker level overall SL as the market moves in your favour.
***
For example your broker level SL is 5000 and you want that for every Rs. 500 profit, trail your broker level SL by Rs. 500, you can do this using this feature.
Imagine your broker level MTM reached ₹ 500.
So as soon as it crosses ₹ 500, trail your broker level sl i.e. 5000 to 4500.
Now if profit reaches ₹ 1000, our broker level SL will be trailed from ₹ 4500 to ₹ 4000.
Now again if profit reaches ₹ 1500, our broker level SL will be trailed from ₹ 4000 to ₹ 3500.
It will keep on doing till our broker level trailing sl hit.
So now assume after some time the market reverses and profit starts coming down. When it crosses a loss below 3500, it will exit all your strategies.
To set the Broker Level Trail SL, please follow the steps below.
- Please click on the "Trail Stop Loss" button.
- Click on the "Setup" button after entering your trailing inputs.
- You can now view the "Trailed Stop Loss" section in your settings, which displays the Trailed value of your broker level. This information is accompanied by a message that reads "Settings Added,".
### Lock
This feature enables you to secure your profits.
***
Let's say you want to ensure that if your profit reaches a certain amount, let's call it 10000, you take at least 5000 home in case the market reverses. You can use this feature to lock in the 5000 when your profit reaches 10000. This way, if the market goes against you and your profit drops below 5000, the feature will exit the deployed strategies.
Imagine your broker level profit reached ₹ 10000. So as soon as it crosses ₹ 10000, the system will lock ₹ 5000 profit.
So now assume after some time the market reverses and profit starts coming down. When it crosses below ₹ 5000, the system will exit at ₹ 5000 profit.
**To set a lock, follow the steps below:**
- Click on the Lock button and enter your desired inputs.
- To save the settings, please click on the "Setup" button.
- You will see "Settings Added". Once your lock condition is met, you will see the locked profit value under "Locked Profit".
### Lock and Trail
This particular feature enables you to secure your profit and subsequently trail your secured profit as the prices move in your favour.
***
For instance, if you wish to lock your profit when it reaches a certain amount of 10000, say 5000, and then trail your secured profit by 500rs for every 500rs increase in profit from 10000rs, you can easily do so using this feature.
Imagine broker level profit reached ₹ 10000. So as soon as it crosses ₹ 10000, the system will lock ₹ 5000 profit.
Now according to our trail condition if profit reaches ₹ 10500,, our lock profit i.e. ₹ 5000 will be trailed to ₹ 5500. Now again if profit reaches ₹ 11000, our lock profit i.e. ₹ 5500 will be trailed to ₹ 6000.
So now assume after some time the market reverses and profit starts coming down. When it crosses below our trailed sl i.e. ₹ 6000, the system will exit at ₹ 6000 profit.
To set the Lock and Trail, follow the steps below:
- To enable the lock and trail feature, click on the "Lock and Trail" button and enter the desired trailing condition in the space provided, following the displayed instructions.
- To save the settings, please click on the Setup Button.
- You will see "Settings Added". Once your lock condition is met, you will see the trailed profit value under "Trailed Profit".
## Will the MTM of Squared-Off Strategies be considered?
- Set SL/Target across all active or squared-off strategies for the day.
- Broker-level SL/Target can be set at any point during the day and will consider the P\&L of all running and squared-off strategies for that broker.
## **IMPORTANT POINTS**
- Broker-level settings must be set daily and apply only to strategies deployed via AlgoTest, not manual trades.
- Strategies in a paused state or switched to manual mode are excluded from MTM calculations.
- For strategies that go into an error state, only the closed leg MTM will be considered in broker-level calculations.
## Will the MTM of Squared-Off Strategies be considered?
- Set broker-level SL/Target from the Signals Execution page.
- Once hit, all signals for the day are blocked for that broker.
- To allow further trades after a broker-level SL/Target is hit, you must manually reset it from the Signals Execution page.
## **IMPORTANT POINTS**
- Broker-level settings must be set daily and apply only to strategies deployed via AlgoTest, not manual trades.
- Strategies in a paused state or switched to manual mode are excluded from MTM calculations.
- For strategies that go into an error state, only the closed leg MTM will be considered in broker-level calculations.
## Signal Multi-Broker Execution
The **Signal Multi-Broker** feature allows you to connect and execute a single signal across multiple broker accounts, simultaneously and seamlessly. This eliminates the need to duplicate signals for each broker, simplifying your workflow and improving operational efficiency.
Traditionally, users had to create **separate signals** for each broker connection. With **Multi-Broker Execution**, you can now:
- Link multiple brokers to **one signal**
- Execute trades **in parallel** across all linked brokers
- Manage multiple accounts (including client or PMS accounts) more efficiently
This feature is ideal for traders, portfolio managers, and prop desks who trade similar strategies across multiple broker accounts.
## How It Works
1. **Create a Signal:** Go to your AlgoTest dashboard → **Signals** → Create or edit an existing signal.
2. **Link Multiple Brokers:** Under the broker selection section, choose more than one broker. The same signal will be broadcasted to all linked brokers.
3. **Execution in Parallel:** When your signal triggers (via TradingView, Chartink, or webhook), AlgoTest executes the trade **across all linked brokers** at the same time.
4. **Unified Monitoring:** View trade status, PnL, and logs for all connected brokers from a single dashboard.
### Benefits
| Benefit | Description |
| ----------------------- | -------------------------------------------------------------------------------------------- |
| **Simplified Setup** | No need to duplicate the same signal for each broker |
| **Faster Deployment** | Morning setups like rolling straddles or adjustments happen in one click |
| **Reduced Alerts** | Fewer TradingView or Chartink alerts needed, one alert can trigger trades across all brokers |
| **Scalable Automation** | Expand your execution capacity with plan-based broker linking |
### Plan & Pricing Structure
Multi-Broker support scales linearly with your **Signals Plan**. Each additional Signals Plan allows you to connect one more broker **per signal** and multiplies your **live and forward test concurrency** accordingly.
| **Plan Type** | **Brokers per Signal** | **Concurrent Signal Multiplier** | **Description** |
| ------------------- | ---------------------- | -------------------------------- | ----------------------------- |
| **1 Signals Plan** | 1 Broker | 1× | Base plan |
| **2 Signals Plans** | 2 Brokers | 2× | Connects 2 brokers per signal |
| **3 Signals Plans** | 3 Brokers | 3× | Connects 3 brokers per signal |
Example: If your plan allows **2 brokers per signal**, your concurrent live and forward testing signal limits are automatically **multiplied by 2**.
> ### Imp:
If your existing **Signals Plan** has, say, **40 days** of validity left for one broker, and you decide to **add another broker**, the **second broker** will automatically receive the same **40 days of validity**.
The **pricing calculator** will determine how many **credits** are required for the additional broker based on the remaining plan duration. This ensures fair pricing and consistent validity across all linked brokers.
### Compatibility
- Works with all broker integrations available on AlgoTest
- Supports both **Live Trade** and **Forward Test** signals
- Compatible with **TradingView**, **Chartink**, or **custom webhook** signal sources
> Note: Each broker must be individually authenticated before linking to a signal.
### Important Notes
- If any broker connection fails, AlgoTest will continue executing the signal on remaining connected brokers.
- Execution prices may vary slightly across brokers due to their individual order routing and latency.
- Ensure you have **sufficient margin** in all connected broker accounts.
- If you exceed your plan’s broker limit per signal, the system will prompt you to **upgrade your Signals Plan**.
### Example Use Case
**Scenario:**
- You manage three client accounts with different brokers: Groww, AngelOne, and Dhan.
- You want all three to trade the same intraday straddle strategy.
**Before Multi-Broker:**
- You had to create three separate signals and three alerts.
**Now with Multi-Broker:**
- You create **one signal**, link all three brokers, and trigger trades across all accounts simultaneously.
---
// File: signals/Advanced-Features/btst-positional-signals
# BTST and Positional Signals
## Introduction
Introducing **BTST and Positional Trading** on Signals for Indicator-Based Automated Trading.\
Now you can automate your indicator-based BTST and Positional Strategies using AlgoTest’s Signals.
## What is BTST and Positional Trading?
Before diving into the specifics of this feature, let's explain the basics:
- **BTST (Buy Today, Sell Tomorrow)**: A trading strategy where you buy a contract today and sell it the next day before the market closes.
- **Positional Trading**: A longer-term approach where you hold a position for several days or weeks. You enter a trade based on your strategy logic and wait until your exit condition is satisfied.
With AlgoTest’s new feature, you can automate these types of trades. Instead of manually monitoring the market and placing orders, the system will automatically execute buy and sell orders based on your strategy. This saves you time and ensures trades happen precisely when **you** need them to.
***
## How to Set Up a Strategy for BTST and Positional
### Step I: Open Signals on AlgoTest
Navigate to the **Signals** section in AlgoTest.
### Step II: Create a New Signal
Click on **New Signal** in the top-right corner.
### Step III: Select Your Signal Source
Choose where you want to listen to your Signal from:
- **TradingView Indicators**
- **TradingView Strategy**
- **ChartInk**
- **Custom Scripts**
### Step IV: Choose Execution Type
- **Live Deployment**: Executes trades in the live market.
- **Forward Test**: Simulates trades without actual execution.
### Step V: Create or Select a Strategy
- You can either select a previously saved strategy or create a new one.
- For this guide, we will create a **new strategy**.
### Step VI: Configure a Positional Strategy
1. Switch the strategy type from **Intraday** to **Positional**.
2. Choose your preferred instrument (e.g., Weekly or Monthly Expiries).
3. Define strategy parameters, including:
- Entry and exit conditions
- Order types
- Quantities
Here’s how the screen will look for **Weekly** and **Monthly Expiries**.
### Step VII: Monthly Expiry and Stock Options
You can also create Signals for:
- **Monthly Only Expiry Instruments** (e.g., MidcapNifty, BankNifty, FinNifty, BankEx)
- **Stock Options**
### Step VIII: Save and Continue
Save your configured strategy to proceed further.
### Step IX: Set Up Signal Bridge
For the next steps you can follow the relevant instructions to connect your signal source:
- [How to connect to TradingView](https://docs.algotest.in/signals/signal-connection/)
- [How to connect to ChartInk](https://docs.algotest.in/signals/signal-connection-chartink/)
- [How to add a Pinescript to TradingView](https://docs.algotest.in/signals/tradingview-pinescript/)
***
With these steps, you can automate your BTST and Positional trading strategies seamlessly on AlgoTest.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
---
// File: signals/Advanced-Features/signal-backtest-csv
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
# Backtest Any Strategy with a Signal CSV
Signal Backtest lets you test **any** trading strategy by uploading a CSV of your
entry and exit signals, connecting a trade to them, and running a backtest - even
strategies you can't build with indicators inside AlgoTest.
Every strategy is two parts: a **signal** (when to enter and exit) and a **trade**
(what to buy or sell when the signal fires). With Signal Backtest you bring the
signal as a CSV and build the trade on AlgoTest.
## When to use this
Use whichever route fits your strategy. Both need an active Signal Plan (1 Month or 6 Month).
| Route | Best for |
|---|---|
| **Signals AI** | Indicator strategies you can describe in plain English (RSI, EMA, Supertrend and so on), built and backtested entirely on AlgoTest - see [Signals AI](https://docs.algotest.in/Signals-AI/). |
| **Signal Backtest (CSV)** | Custom or complex logic, a TradingView Pine Script strategy, or any idea whose signals you already have as a list of dates and times. |
:::info
Signal Backtest draws from the same **Signals backtest** pool as Signals AI: **5 a week** (resets every Monday) on the 1 Month plan, **unlimited** on the 6 Month plan. There's no separate way to buy more - see [Pricing & Plans](https://docs.algotest.in/Signals-AI/Pricing/). This is a different pool from your free weekly 920 backtests, which are unaffected.
:::
## What you need
A single CSV file with three columns - a trade number, the signal type, and the
date and time the signal fires.
| Column | What it holds | Values |
|---|---|---|
| **Trade Number** | The sequence number of the signal | `1`, `2`, `3`, … |
| **Type** | The kind of signal | `Entry Long`, `Entry Short`, `Exit Long`, `Exit Short` |
| **Date & Time** | When the signal fires | e.g. `2024-01-01 09:20` |
If your file mixes long and short signals, you can filter to one side after upload.
## Build and backtest your strategy
1. Open **Signal Backtest** from the top navigation on AlgoTest.
2. Download the **sample CSV** to see the exact format your file must follow.
3. Build your signal CSV in the same format. You can create it any way you like:
Ask an AI agent (such as Claude) to generate the CSV. Attach the sample file so
it matches the format, and describe your entry and exit logic - for example,
"enter long on the first trading day of every month at 9:20 and exit on the
last trading day." The agent can also handle market holidays for you.
Open your strategy in the TradingView **Strategy Tester**, then export its list
of trades as a CSV. The exported long/short entries and exits map directly to
the four signal types.
Fill the three columns yourself in Excel or any spreadsheet - one row per
signal - and save as CSV. This is slower but works for any custom idea.
4. Upload your CSV on the Signal Backtest page. A **preview** of your signals
appears so you can confirm the file read correctly.
5. If your file has both long and short signals, filter to the side you want to
test.
6. Connect a trade. This is what AlgoTest places each time a signal fires - a call
buy, a put sell, a future, an iron condor, or any leg combination. Build it in
the **Leg Builder** and add your risk management (stop loss, target, re-entry).
:::note
The entry and exit **time** fields on the trade are ignored here - your CSV
already defines when each trade enters and exits.
:::
7. Run the backtest. AlgoTest places your connected trade on every signal in the
CSV and shows the result: profit and loss, maximum drawdown, win rate, and the
number of trades.
8. Optimize without changing your signals. Filter by DTE, adjust stop loss and
target, change the traded strike, and add slippage, taxes and brokerage to make
the result realistic. Re-run until you're happy.
:::warning
Backtest and live results can differ. Always add realistic **slippage**, and avoid
tuning to very tight stop losses (for example 10%) that look great in a backtest
but rarely fill at the same price in the live market.
:::
## Next steps
- [Build a strategy with Signals AI](https://docs.algotest.in/Signals-AI/)
- [Forward Test vs Live Trade](https://docs.algotest.in/signals/trade-signals/#forward-test-vs-live-trade)
- [Signals plans and pricing](https://docs.algotest.in/Signals-AI/Pricing/)
---
// File: signals/Chartink/connection-chartink
import Iframe from "../../../src/components/Iframe";
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
You can connect your **Chartink** with [**AlgoTest Signal**](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals) by following some simple steps.
## **Connecting Your Chartink Indicator**
You can connect your Chartink strategy with [AlgoTest Signal](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals). We will demonstrate how by following these simple steps :
1. We will create an RSI strategy in Chartink
***
2\. We will create an ATM Call Buy strategy in [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). 3. Connect both of them using AlgoTest Signals.
### Step 1 - Creating RSI Strategy in Chartink
- First visit [chartink.in](https://chartink.in) and click on Watchlists, as shown in the image below
- Now we will create a watchlist with a random name, "banknifty", and add our desired instrument in which we want to create strategy, as we want to create strategy on BankNifty so we will create a watchlist and add BankNifty.
- Click on "Create a new Watchlist" to create a new watchlist.
- Now search "Banknifty", and click on "Banknifty", and click on "Add Selected"
- It will add "BankNifty" to your watchlist.
- We have saved our watchlist. Now we need to create an RSI strategy. Click on "Create Scan" as shown in the image below :
- Now we will select Banknifty by clicking on "Cash" in the select segment as shown in the image below.
- After that we will create a condition that if RSI crosses above 70, it will generate an alert and click on "Save Scan", as shown in the image below.
- Give a random name to the scan and save it by clicking on the "Submit" button, as shown in the image below.
- We have created our entry alert. We also want that if 5 Minute RSI crosses below 50 then exit our ATM Call Buy position. So we will create an exit alert also similar as we have created an entry alert.
To create an exit alert, click on "Create Scan" as shown in the image below.
Set the conditions in the image below and click "Save Scan" to save our exit alert.
Give a random name to the scan and save it by clicking on the "Submit" button, as shown in the image below.
We have created both Entry & Exit scans in Chartink. Now we will create an ATM Call Buy strategy that we can connect with these alerts.
### Step 2 - Creating Strategy in AlgoTest
Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) and click on "New Strategy '' under the 920Simple section. You can also create a strategy in the 920 Straddle. But to keep things simple we will create a strategy in the 920Simple section.
Configure the leg in leg builder as shown in the image below and click on add leg.
**Important Strategy Specifications:**
- BankNifty Index
- Time of Entry: 9:16 (This implies that our strategy will start responding to alerts from Chartink only after the chosen entry time, in this example, 9:16. Please remember that this timing does not correspond to the execution at 9:16.)
- Time of Exit: 3:00 (Our strategy will no longer respond to the Chartink alerts after 3:00. Any alert generated after this time will not be considered. Until 3:00, the strategy will only respond to Chartink alerts.) Due to the presence of an exit condition, we have not included a stop-loss in the strategy. You, on the other hand, have the option to include one if you wish.
Now you can see Leg 1 is added under Strategy Legs as shown in the image below.
Now click on the "Save" button to save the strategy and give it a random name as you wish, and click on "Done".
### Step 3 - Connecting your Alert with Strategy using AlgoTest Signal
- Go to [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) and Click on "Signals" as shown in the image below :
- Now click on "New Signal"
- Click on "Chartink" as shown in the image below :
**There are now two options available to you:**
['Live Deployment'](https://algotest.in/feature/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=live)
['Forward Test'](https://algotest.in/feature/forward-test?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=forward-test)
Now, we will briefly explain the above options.
***
Firstly, 'Deploying a stratеgy' mеans to apply thе stratеgy in thе actual stock markеt.
### What does Live Dеploymеnt mеan?
This option allows you to deploy your trading strategy in the live market. Whеn you choosе this option, AlgoTеst monitors thе strategy entry and exit conditions in real-time and as soon as an alert comes from Chartink it will execute the order in your broker terminal.
### What does Forward Testing mean?
Forward tеsting or paper trading mеans trading with virtual money using LIVE markеt data. You can see your trades and PnL in AlgoTest but you will not need any broker for forward testing.
If you want to use this strategy in a live trading environment, select 'Live Deployment.' If you'd rather paper trade at first, select 'Forward Test.' We propose to run the strategy through a forward test first to confirm that it executes the entries correctly depending on the conditions we've provided. Please keep in mind that the methods for linking live and forward trading are the same.
***
Traders can choose from pre-existing strategies or construct new ones from scratch.
Now in the Search Box, enter the name of the strategy that we created and saved in Step 2. Now click on the strategy, as shown in the image below.
Copy the webhook URL by clicking on the copy button.
We need to paste this webhook URL in the entry alert that we have created in chartink. To paste this webhook URL, go to [chartink.in](https://chartink.in) and click on "Scans", and click on the Scan that we have created for entry, as shown in the image below.
Now Click on "Create Alert" and paste the webhook URL in the "URL box", as shown in the image below.
We have connected our Entry Alert with "Signals". Now we will connect our Exit Alert with Signals. So again, go to the Algotest tab and click "Add Exit Alert" as shown in the image below.
Copy the webhook URL of the exit alert by clicking on the copy button as shown in the image below.
Now we will paste this webhook URL into our exit alert that we created in Chartink. Go to the Chartink tab and click on "Scan" and click on "RSI Strategy Exit"
Click **"Create Alert"** and then paste the webhook URL we copied from AlgoTest as shown in the image below. Click on **"Save Alert"** to save the alert.
Now go to the AlgoTest Tab and Enable "Max Signal Entry", and set it to 1, so that there will be one position running at a time for the same alert.
Click "Start Listening" to Activate your Signal, as shown in the image below.
Your strategy will show up as "listening" on the SIGNAL tab of AlgoTest if all the stages have been followed successfully, as seen in the screenshot below.
You may review the alert section in Chatink, by clicking on the "Alerts" button as shown in the image below to see active alerts and generated alerts.
Our strategy is now active and prepared to execute the trade in case any alerts are generated in Chartink by the RSI according to our strategy conditions.
Similarly, you can also create an alert on an RSI cross value of 30 on the downside in Chartink and can connect it with the Nifty ATM Put Buy Strategy in AlgoTest.
## **Why You Need a Chartink Premium Plan**
To usе [AlgoTеst Signals](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals), you nееd to have a Chartink account with thе Premium plan. Premium Subscription allows for 1/2/3 minute Scans, Charts & Alerts with realtime data.
Alеrts arе crucial for AlgoTеst Signals as thеy triggеr tradеs based on your strategy. If you don't have alеrts, you won't be able to automate your strategy effectively. This could lead to inconsistеnt results.
The Premium plan is thе bеst choicе for tradеrs who want to usе AlgoTеst Signals because it offеrs grеat valuе at only ₹780 pеr month. With thе Premium plan, you get features likе-
1. Create Alerts to run every 1/2/3/5/10/15/30.. minutes, daily, weekly, monthly & even at a fixed time daily
2. Realtime data for Scans & Charts, we scan million's of data points continuously, ensuring you get notified instantly
3. Notifications sent over Desktop/Mobile, SMS & Email for breakouts.
4. Customize scan result columns & views.
5. No coding required!
6. Ability to concurrently run a screener across multiple watchlists
7. Auto Refresh for Scans, Charts & custom dashboards
These features are essential for using AlgoTest Signals effectively.
---
// File: signals/Chartink/chartink-multistock-automation
The **Chartink Multistock** feature on [AlgoTest Signals](https://algotest.in/feature/signals?utm_source=docs\&utm_medium=organics\&utm_campaign=seo) allows users to automate trades across multiple stocks based on a **Chartink Alert** —without the need to specify a stock in advance. Whenever a stock from your Chartink scan triggers, the corresponding strategy is automatically executed for that stock.
This is ideal for traders using large watchlists (e.g., Nifty 500, All F\&O stocks) and looking to automate signals without manually setting up one strategy per stock.
***
## How It Works
Instead of creating individual signals for each stock, users configure one **Multistock Strategy** linked to a **Chartink alert**. The stock to be traded is dynamically fetched from the Chartink alert payload.
Whenever the alert is triggered, the selected legs (buy/sell action) of your strategy will be executed for the stock present in the alert.
***
### Supported Universes
It supports **Nifty500 stocks**. You can also create **custom watchlists** on Chartink for full flexibility.
***
## Step-by-Step Guide
### 1. Create a New Signal on AlgoTest
- Go to **AlgoTest > Signals Dashboard**
- Click **"Create Your First Signal"**
- Select **Chartink - Multistock** as the signal type
- Choose between **Forward Test** or **Live Deployment**
For this demonstration we will connect with Forward Test
- Proceed to **Strategy Creation**
***
### 2. Define the Strategy & Legs
- Choose **Intraday** or **Positional** type
- Define trade leg(s): e.g., **Buy in Cash**, **Sell Futures**, or **Buy Option**
- Set parameters:
- Quantity
- Stop Loss (%)
- Target (%)
At the end of this step, AlgoTest will generate **Entry & Exit Webhook URLs**.
***
### 3. Create a Chartink Scan
- Go to [Chartink.com](https://chartink.com)
- Click **“Create Scan”**
- Select your watchlist (e.g., All Cash Stocks, Nifty 200, Custom List)
- Define your condition (e.g., **EMA 9 crossover EMA 26 on Daily timeframe**)
- Save the scan
### 4. Create Entry Alert in Chartink
- Once the scan is saved > **Create Alert**
- Set trigger time (e.g., **Market Open**)
- Paste the **Entry Webhook URL** from AlgoTest
- Enable Duplicate Alerts if you want the strategy to trigger daily
- Save the alert
***
### 5. (Optional) Create Exit Alert
- Repeat the steps above
- Create a new scan with the **opposite condition** (e.g., EMA 9 cross below EMA 26)
- Use the **Exit Webhook URL** from AlgoTest in the alert
***
## Forward Test vs Algo Trade
- **Forward Test**: Simulates trades in real-time with virtual capital. Use this to validate your strategy logic.
- **Algo Trade**: Executes real orders via your connected broker. Move your signal from Forward Test to Algo Trading when ready.
***
## Broker Integration
AlgoTest supports **40+ brokers** for algo trading. To start trading:
1. Connect your broker from AlgoTest Settings
2. Move the strategy to **Algo Trading**
3. The next triggered alert will place a real order for the identified stock
***
## Notes
- Strategies will only execute for **stocks that have F\&O enabled**
- You can pause or resume listening to alerts anytime
- Each alert-triggered trade follows the logic defined in the strategy
***
## Capital-Based Entry for MultiStocks
### Overview
When creating strategies for **MultiStocks from Chartink**, you previously had to manually enter the **quantity** for each stock leg. This often caused inconsistencies across instruments with very different prices.
With this new feature, you can now specify **capital per leg** instead of quantity. The system will automatically calculate the correct quantity based on the stock’s **Last Traded Price (LTP)** at execution.
### Use Case
Suppose you want to allocate **₹25,000 each** to **HDFCBANK** and **ZOMATO**:
- **Earlier:** You had to calculate and enter the number of shares manually.
- **Now:** You can directly input ₹25,000 as the capital, and the system will calculate and round the number of shares to buy/sell automatically.
This ensures consistency and makes strategy creation easier when working with multiple stocks at varying price levels.
### How It Works
### Capital vs Quantity dropdown
- In the **Leg Builder**, you will see a dropdown to choose between **Quantity** and **Capital**.
- Selecting **Capital** allows input of rupee amount per leg.
### Dynamic Calculation
- At execution, the system calculates the number of shares as:\
**Quantity = Capital ÷ LTP**
- The quantity is rounded to the nearest lower integer.
### Applicability
- Works only for **Cash Segments**.
- Not applicable for **Futures and Options**.
### Example
- User selects **Capital Mode**.
- Inputs **₹25,000** for HDFCBANK.
- If HDFCBANK LTP is **₹1,500**:
- Quantity = 25,000 ÷ 1,500 = **16 shares**.
- The system places an order for **16 shares of HDFCBANK**.
Below shows the updated Leg Builder UI showing the **Qty / Capital dropdown**:
***
### Notes
- Applicable only in **MultiStocks strategies from Chartink**.
- Execution quantities may vary slightly depending on **LTP at the time of order**.
- If the capital entered is **less than the LTP**, the system will **skip the leg**.
***
## Need Help?
If you have questions or face issues:
- Join our [Telegram Community](https://t.me/algotest_in) for live support
## Watch the Tutorial
Check out our [YouTube video walkthrough](https://youtu.be/q9UvSpZnIOQ?si=I8HZMcXLWaH4CpkT) to see this setup in action.
## Summary
| Feature | Description |
| ----------------- | --------------------------------------------------- |
| Stock Source | Comes from Chartink alert payload |
| Strategy | Created once and reused across multiple stocks |
| Use Case | Ideal for large watchlists like Nifty 50, Nifty 500 |
| Execution | Cash, Futures, or Options |
| Brokers Supported | 45+ NSE brokers |
---
// File: signals/TradingView/connection
import Iframe from "../../../src/components/Iframe";
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
You can connect your **TradingView** Indicator with [**AlgoTest Signal**](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) by following some simple steps.
First, we will create an **RSI Indicator** entry alert in **Tradingview** and then we will create an ATM Call Buy strategy in [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest). Then connect both of them using AlgoTest Signals.
## **Step 1)** Open TradingView Charts
Open the chart you want to trade by navigating to TradingView. We are going to use a 5-minute Nifty chart for this example. The RSI indicator must then be added to the Nifty chart. Choose the RSI (Relative Strength Indicator) by finding it in the indicator area, as seen in the picture below.
## **Step 2)** Add an alert
As seen in the below figure, click on the three dots on the RSI indicator. Choose "Add Alert on RSI" after that. This will launch a new pop-up window that looks like the one below.
## **Step 3)** Connect Alert with AlgoTest Signals
It will open a popup window as shown in the image below. This window is very important as we will use this to create an alert and connect this alert with AlgoTest Signals.
## **Step 4)** Setup your strategy
According to our strategy (this strategy is for demonstration purposes only) :
***
**Entry**: Buy an ATM Call when the RSI crosses the value of 70 upside.
***
Now we will set a condition that if RSI crosses upside 70, it will generate an alert.
***
**Setup the condition as shown below.**
## **Step 5)** Select the trigger conditions
After configuring the conditions as indicated in the preceding image, the following step is to select the trigger condition. You have four choices:
- **Only Once**: Choosing this option indicates that your input will only be triggered once. It will just take one entry. For example, if the entry condition for the first entry is satisfied, and subsequently the conditions are met again, it will not trigger another entry.
- **Once Per Bar**: Selecting this option implies that an entry will be initiated every time the entry criteria are satisfied, but no more than once per bar. For instance, even if the entry condition happens twice during a 5-minute candle, only one entry will be made. However, if the entry criteria are met in the following candle, a new entry will be triggered.
- **Once Per Bar Close**: If you choose this option, it will verify your entry condition at the end of each 5-minute candle and trigger an entry if it is fulfilled.
- **Once Per Minute**: Selecting this option implies that an entry will be made each time the entry criteria are completed, but no more than one entry will be allowed in a single minute. For example, if two entry triggers occur within one minute, it will take the first entry only. However, if the entry criteria are satisfied in the following minute, a fresh entry will be triggered.
In our particular situation, where we only want one entry, we shall pick 'Only Once.' This option will cause your settings to display as seen in the image below.
## **Step 6)** Launch AlgoTest Signals
After you've set up your settings as shown in the image above, don't make any more changes. The next step is to create an ATM Call option buy leg strategy in AlgoTest and connect it to the alert we are creating.
:::warning
Do not engage with the alert field tab above; instead, leave it alone and refrain from clicking anywhere within it.
:::
- Launch a new browser tab. In this new tab, navigate to the AlgoTest website and log in.
- Once logged in, find and choose the 'Signals' feature of AlgoTest, as seen in the figure below.
## **Step 7)** Setup Signals to receive a signal from TradingView and deploy
Choose **'New Signal'** and the **'TradingView Indicator'** option.
There are now two options available to you:
- ['Live Deployment'](https://algotest.in/live?utm_source=webflow\&utm_medium=internal\&utm_campaign=documentation\&utm_content=manual)
- ['Forward Test'](https://algotest.in/forward-test?utm_source=webflow\&utm_medium=internal\&utm_campaign=documentation\&utm_content=manual)
Now, we will briefly explain the above options.
***
Firstly, ‘Deploying a stratеgy’ mеans to apply thе stratеgy in thе actual stock markеt.
### **What does Live Dеploymеnt mеan?**
This option allows you to deploy your trading strategy in the live market. Whеn you choosе this option, AlgoTеst monitors thе strategy entry and exit conditions in real-time and as soon as an alert comes from TradingView it will execute the order in your broker terminal.
### **What does the Forward Test mean?**
Forward tеsting or paper trading mеans trading with virtual money using LIVE markеt data. You can see your trades and PnL in AlgoTest but you will not need any broker for forward testing.
If you want to use this strategy in a live trading environment, select 'Live Deployment.' If you'd rather paper trade at first, select 'Forward Test.' We propose to run the strategy through a forward test first to confirm that it executes the entries correctly depending on the conditions we've provided. Please keep in mind that the methods for linking live and forward trading are the same.
***
Traders can choose from pre-existing strategies or construct new ones from scratch.
***
## **Step 8)** Create a Strategy on Signals
Click **'Create Strategy'**. Now we have to create a strategy in which we will add a Nifty ATM Call Buy Leg.
## **Step 9)** Configure the leg in leg builder
Configure the leg in leg builder as shown in the image below and click on add leg.
Important Strategy Specifications:
- [Nifty Index](https://algotest.in/banknifty-options-chart?utm_source=webflow\&utm_medium=internal\&utm_campaign=documentation\&utm_content=manual)
- Time of Entry: 9:16 (This implies that our strategy will start responding to alerts from TradingView only after the chosen entry time, in this example, 9:16. Please remember that this timing does not correspond to the execution at 9:16.)
- Time of Exit: 3:00 (Our strategy will no longer respond to the TradingView alerts after 3:00. Any alert generated after this time will not be considered. Until 3:00, the strategy will only respond to TradingView alerts.) Due to the presence of an exit condition, we have not included a stop-loss in the strategy. You, on the other hand, have the option to include one if you wish.
## **Step 10)** Copy JSON code to your strategy
Now you can see Leg 1 is added under Strategy Legs as shown in the image below. Click on save and continue.
Now, give the strategy a name. It will ask for execution parameters, We'll give you recommendations for the best execution. If you don't want to get into the specifics, just use the options below:
1. Order Type: Limit
2. Product Type: NRML
3. Buffer Limit: 3 Points
After you've finished customizing these options, click 'Setup Settings'
You can name the entry alert 'Test' (or any other name you like). Now, as seen in the figure below, copy the JSON Block code using the copy icon.
## **Step 11)** Copy code from AlgoTest to TradingView
Return to the TradingView tab (the Alert Tab was left intact) after copying the code and paste it into the Message box, which is shown by a blue arrow in the figure below. Enter any random name in Alert Name.
## **Step 12)** Paste webhook URL in the notifications page
Navigate to the AlgoTest tab and click 'I have pasted.' The webhook URL will be shown, along with a 'Copy' button. Click 'Copy,' as seen in the figure below. This webhook URL must be pasted into the 'Notification' page we accessed in the previous step.
Then, as seen in the figure below, enter the copied Webhook URL into the 'Webhook URL' space under the 'Notification' tab and click on the Create button. If the Webhook URL is already filled in, please be sure to clear it before inserting the copied URL.
## **Step 14)** Now create an exit alert
Our TradingView Entry alert has now been successfully established. The next step is to create an exit alert. Return to the AlgoTest page, and you'll see an option for adding an exit alert (optional), as seen in the image below.
- Click 'Add Exit Alert,' as seen in the figure above.
- Give it a distinct name and save the alert configuration.
- Then you'll notice a JSON block message. Make a copy of this message.
- Go back to the TradingView tab.
- Click on the 3 dots on the RSI indicator.
- Select 'Add Alert.'
***
Remember that our entry condition was to Buy a Nifty ATM Call when the RSI crosses the value of 70 upside. We wish to exit the ATM Call buy position when the RSI crosses the value 50 downsides. Configure the alert settings as demonstrated in the image below.
## **Step 15)** Copy the exit webhook URL from AlgoTest
Put in the JSON code we copied into the message box, as seen in the image. Enter any random name in the Alert name and select Only Once in Trigger.
Next, select 'Notification.' Navigate to the AlgoTest tab and click 'I have pasted.' Copy the exit webhook URL from AlgoTest.
## **Step 16)** Activate your strategy and 'Start Listening'
Paste it into the notification tab's 'Webhook URL' option, just as we did when establishing the entry alert. Click on the Create button.
Finally, return to the AlgoTest page and click on 'Start Listening,' as seen in the figure below by the green marker.
Your strategy will show up as "listening" on the SIGNAL tab of AlgoTest if all the stages have been followed successfully, as seen in the screenshot below.
You may review the alert section in TradingView, as seen in the image below, to see your active alerts and generated alerts.
## **Why You Need a TradingView Essential Plan**
Our strategy is now active and prepared to execute the trade in case any alerts are generated in TradingView by the RSI according to our strategy conditions.
***
**Similarly, you can also create an alert on an RSI cross value of 30 on the downside in TradingView and can connect it with the Nifty ATM Put Buy Strategy in AlgoTest.**
To usе AlgoTеst Signals, you nееd to have a TradingViеw account with thе Essеntial plan or a highеr plan. The Essential plan allows you to crеatе 20 limited alerts/day and custom alert mеssagеs on TradingViеw, which arе nеcеssary for AlgoTеst Signals to function corrеctly.
Alеrts arе crucial for AlgoTеst Signals as thеy triggеr tradеs based on your strategy. If you don’t have alеrts, you won't be able to automate your strategy effectively. This could lead to inconsistеnt results.
The Essеntial plan is thе bеst choicе for tradеrs who want to usе AlgoTеst Signals because it offеrs grеat valuе at only ₹995 pеr month. With thе Essеntial plan, you get features likе-
1. 2 charts layout
2. 5 indicators per chart
3. 10K historical bars
4. 20 price alerts
5. 20 technical alerts
6. 10 parallel chart connections
7. No ads
8. Volume profile
9. Custom timeframes
10. Custom Range Bars
11. Multiple watchlists
12. Bar Replay
13. Indicators on indicators
These features are essential for using AlgoTest Signals effectively.
---
// File: signals/TradingView/tradingview-pinescript
# How to Add Pinescript Code in TradingView
## Introduction
To make the most of TradingView, it's important to understand and use Pine Script. Pine Script allows users to create custom indicators, strategies, and scripts to tailor their trading approach.
***
This guide aims to simplify the process of adding Pine Script code into TradingView, with a focus on implementing [AlgoTest's ready-made strategy templates](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals).
Whether you're a beginner looking to enhance your trading skills or a seasoned trader aiming to refine strategies, this step-by-step tutorial will provide the insights needed to integrate sophisticated Pine Script code into your TradingView charts.
## AlgoTest Ready Made Strategy Template
AlgoTest is an intuitive algo-trading platform that helps you to backtest, forward test, and deploy your strategy.
AlgoTest provides ready-made Pine Script strategy templates for educational purposes to traders. These templates can be used by beginner traders to increase their learning curve in Pine Script.
### How to Get Ready Made Pine Script Template in AlgoTest
To obtain a ready-made strategy template, simply follow the steps below.
- Visit [AlgoTest.in](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest), sign up, and create an account if you don't have one. Then, log in.
- Go to the [Signals Page](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals) in AlgoTest by clicking on the Signals button as depicted in the image below.
- Scroll down to see a list of 20 ready-made strategy templates.
- Select the strategy you want to add in TradingView.
- Copy the code by clicking the copy button, as shown in the image below.
## How to Add Pine Script in TradingView
To add your Pine Script code in TradingView, follow these simple steps:
- Go to TradingView\.com, log in, and open charts by clicking on "Products" and then "SuperCharts."
- Click on the Pine Editor button as shown in the image below.
- Click on the "Open" button as indicated in the image below.
- Click on the "New Indicator" button, as shown in the image below.
- Remove everything you see in the "Pine Editor" box, as shown in the image below.
- Paste the code copied from AlgoTest, then click the Save button and choose a random name for saving.
- Click on the 'Add to Chart' button to add your strategy to the charts.
- Now your strategy has been added to the chart, and you will be able to see the Long-Short signal on the chart.
- You can also backtest your strategy script by clicking on the "Strategy Tester" button.
---
// File: signals/TradingView/tradingview-troubleshooting
# Tradingview Troubleshooting
Has your Signals strategy gone into error? Has it missed any trade that was triggered on TradingView and not executed on [AlgoTest?](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest?)
In this document we have mentioned all the details that you need to troubleshoot your strategy. In case you cannot do it on your own, you can fetch these details and send them to our support executives.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
## Steps for Troubleshooting Tradingview Indicator
- Go to the [AlgoTest Signals page](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals).
- Take the full screenshot showing the strategy details and the generated signals.
- After taking the screenshot click on the More button (...) at the bottom.
- Select the option to copy Json and Webhook.
- Copy the Entry Json in case the entry did not happen.
- Copy the Exit Json in case the exit did not happen.
- Create a file in Notepad and paste the Json in that file.
- Copy the Entry webhook in case the entry did not happen and exit Webhook in case exit did not happen.
- Paste the Webhook in the notepad file.
- Go to the TradingView alert and click on the edit button.
- Copy the Json Block from tradingview.
- Paste the Json in the notepad file.
- Now go back to Tradingview alert and click on the notifications button.
- Copy the webhook from the alert.
- Paste the webhook in the notepad file.
- In case there is a difference in the Json and Webhook, create the signal again.
## Steps for Troubleshooting Tradingview Strategy
- Go to the [AlgoTest Signals page](https://algotest.in/feature/signals?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=signals).
- Take the full screenshot showing the strategy details and the generated signals.
- After taking the screenshot click on the three dots button (...) at the bottom.
- Select the option to copy Json and Webhook.
- Copy the Entry Json in case the entry did not happen
- Create the Exit Json in case the exit did not happen.
- Create a file in Notepad and paste the Json in that file.
- Copy the Entry webhook in case the entry did not happen.
- Create the exit Webhook in case the exit did not happen.
- Paste the Webhook in the Notepad file.
- Go to the TradingView alert and click on the edit button.
- Copy the Json Block from TradingView.
- Paste the Json in the notepad file.
- Now go back to Tradingview alert and click on the notifications button.
- Copy the webhook from the alert.
- Paste the webhook in the notepad file.
- Go to TradingView and open the pine editor.
- Copy the pinescript present in the pine editor.
- Paste the pinescript in the notepad file.
- In case there is a difference in the Json and Webhook, create the signal again.
## Documents needed for investigation
In case there is no difference, send the notepad file along with all the screenshots shown above to our support executives.
- Screenshot of alert log from tradingview.
- Alert settings screenshot from Tradingview
- Notifications screenshot from Tradingview alert settings.
- Screenshot of the algotest tradeview page by clicking on the screenshot button available on algotest..
- Notepad file created using the above steps.
By providing these screenshots and code details, the support team or collaborators can identify any discrepancies or configuration issues.
If you need guidance on generating any of these screenshots or capturing the necessary details you can connect with our support team on telegram.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
---
// File: signals/TradingView/pinescripts/adx_strategy
# ADX Indicator
The **ADX (Average Directional Index)** measures the **strength** of a trend, not its direction. It's a core part of the Directional Movement System and one of the most reliable ways to tell a trending market from a choppy, ranging one.
## What is the ADX Indicator?
Developed by J. Welles Wilder Jr. in 1978, the ADX is composed of three lines:
- **ADX**: trend strength. Above 25 = strong trend; below 20 = weak/ranging market.
- **+DI (Plus Directional Indicator)**: strength of upward movement
- **-DI (Minus Directional Indicator)**: strength of downward movement
The ADX line itself doesn't show direction; it only quantifies how strong the trend is, whether up or down. Values range from 0 to 100.
### How to Read ADX
- **ADX above 25**: a strong trend is in place; trend-following strategies work well
- **ADX below 20**: the market is weak or ranging; trend-following strategies tend to whipsaw
- **+DI crosses above -DI**: potential buy signal (upward directional strength taking over)
- **+DI crosses below -DI**: potential sell signal (downward directional strength taking over)
### Best Use Cases
1. **Determining Trend Strength**: the primary use of ADX: is this market trending, or not worth trend-trading right now?
2. **Filtering Entries**: many traders only take +DI/-DI crossover signals when ADX is above 25, to avoid false signals in choppy markets.
3. **Combining with Other Indicators**: ADX pairs well with RSI or MACD to confirm both trend strength and momentum.
## How to Automate an ADX Strategy on Signals AI (No Code)
You don't need TradingView, PineScript, or a webhook to trade ADX signals. [Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals) is AlgoTest's no-code strategy builder. Describe your ADX logic in plain English, or build it visually on the Canvas, and it handles backtesting, paper trading, and live execution with your broker.
**ADX parameters on Signals AI:**
| Parameter | Default | Description |
| --- | --- | --- |
| period | 14 | Lookback period |
| adx_component | ADX | Which line the condition uses: ADX, PLUS_DI, or MINUS_DI |
**Example strategy: ADX filtered DI crossover (NIFTY, 5m)**
| | Condition |
| ----- | ------------------------------------------------------ |
| Entry | ADX(14) > 25 **AND** +DI(14) crosses above -DI(14) |
| Exit | +DI(14) crosses below -DI(14) |
**To build this:**
1. Open **Signals AI** and tell the [AI Agent](https://docs.algotest.in/Signals-AI/Creating-Signals/Using-the-AI-Agent) something like: *"Create an ADX strategy on NIFTY 5-minute spot where entry is ADX(14) above 25 and +DI crossing above -DI, and exit is +DI crossing below -DI."* Or build it manually on the [Canvas](https://docs.algotest.in/Signals-AI/Creating-Signals/Building-on-the-Canvas) using a **Logical AND node** to combine the ADX threshold with the DI crossover.
2. [Preview the signal on the chart](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Chart-Preview) to confirm entries only fire when ADX is genuinely trending.
3. Connect a trade and [backtest](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Backtesting) it on historical data.
4. [Forward test](https://docs.algotest.in/Signals-AI/Going-Live/Forward-Test) it with paper money, then go live once you're satisfied.
→ Full click-by-click walkthrough: [Quickstart: Your First Signal in 10 Minutes](https://docs.algotest.in/Signals-AI/quickstart)
## ADX PineScript for TradingView
Prefer TradingView? Here's a ready-to-use ADX strategy template. Paste it into the Pine Editor, adjust the ADX Length, ADX Threshold, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("ADX Strategy", overlay=true)
// Input parameters
adx_length = input.int(14, title="ADX Length")
adx_threshold = input.int(25, title="ADX Threshold")
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
[PDI, NDI, adx] = ta.dmi(adx_length, adx_threshold)
// Strategy logic
long_condition = adx > adx_threshold and ta.crossover(PDI, NDI)
short_condition = adx > adx_threshold and ta.crossunder(PDI, NDI)
// Plot ADX
plot(adx, color=color.blue, title="ADX")
// Strategy entry and exit
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = strategy.position_avg_price + target_points
long_stop_loss = strategy.position_avg_price - stop_loss_points
short_target = strategy.position_avg_price - target_points
short_stop_loss = strategy.position_avg_price + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it on TradingView, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate execution, or skip the PineScript and webhook setup entirely by rebuilding the same logic directly in Signals AI above.
## FAQ
### What does the ADX indicator tell you?
The ADX helps traders determine the strength of a trend. High ADX values, typically above 25, confirm that the market is trending strongly in one direction.
### How do you calculate the ADX?
The ADX is calculated as a moving average of the expanding range between +DI and -DI. It incorporates a smoothing technique, which Wilder explained in his book, to render the ADX an effective gauge of trend strength.
### What is the best time frame for the ADX?
The ADX can be applied to any trading time frame, such as daily, hourly, or even minute charts. The best time frame depends on the trading strategy and the trader's analytical preferences.
### Which indicator works best with ADX?
Combining ADX with momentum indicators like RSI or MACD can provide a more comprehensive picture of market conditions, helping to confirm the ADX signals.
### Is ADX indicator good for day trading?
Yes, the ADX can be used for day trading, but it's important to combine it with other indicators to confirm trading signals due to the ADX's lagging nature.
To automate ADX-based strategies without writing code, visit [AlgoTest Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/atr_strategy
# ATR Indicator
**ATR (Average True Range)** measures market **volatility only**: how much price moves on average per candle. It says nothing about direction, which is exactly what makes it useful for stops and position sizing.
## What is the ATR Indicator?
Developed by J. Welles Wilder Jr. (the same creator of RSI and Parabolic SAR) and introduced in his 1978 book *New Concepts in Technical Trading Systems*, ATR breaks down the price range of an asset over a given period, typically derived from a 14-period moving average of the true range.
### How to Read ATR
- **High ATR**: the market is moving a lot per candle; wider stops and smaller position sizes are usually warranted
- **Low ATR**: the market is calm; tighter stops and larger position sizes may be appropriate
- ATR does not indicate direction, only magnitude of movement
### Best Use Cases
1. **Trailing Stops**: a stop placed N × ATR away adapts automatically: wider in volatile markets, tighter in calm ones.
2. **Position Sizing**: higher ATR suggests smaller position size to keep risk constant across trades.
3. **Entry/Exit Timing**: some traders wait for price to move by an ATR multiple before entering, to avoid false breakouts.
## How to Automate an ATR-Based Strategy on Signals AI (No Code)
You don't need TradingView, PineScript, or a webhook to build ATR-based logic. [Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals) is AlgoTest's no-code strategy builder. Describe your strategy in plain English, or build it visually on the Canvas, and it handles backtesting, paper trading, and live execution with your broker.
**ATR parameters on Signals AI:**
| Parameter | Default | Description |
| --- | --- | --- |
| period | 14 | Shorter (e.g., 5) reacts faster to volatility changes; longer (e.g., 20) is smoother |
**Example strategy: SMA entry with ATR trailing stop**
| | Condition |
| ----- | ------------------------------------------------------------------------------------ |
| Entry | Close crosses above SMA(20) |
| Exit | Close crosses below (SMA(20) − 2 × ATR(14)), a volatility-adjusted trailing stop |
**To build this:**
1. Open **Signals AI** and tell the [AI Agent](https://docs.algotest.in/Signals-AI/Creating-Signals/Using-the-AI-Agent) something like: *"Create a strategy on NIFTY 5-minute spot where entry is Close crossing above SMA(20), and exit is Close crossing below SMA(20) minus 2 times ATR(14)."* Or build it manually on the [Canvas](https://docs.algotest.in/Signals-AI/Creating-Signals/Building-on-the-Canvas) using a Comparison Node with ATR on one side.
2. [Preview the signal on the chart](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Chart-Preview) to confirm the ATR-adjusted stop behaves as expected across different volatility regimes.
3. Connect a trade and [backtest](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Backtesting) it on historical data.
4. [Forward test](https://docs.algotest.in/Signals-AI/Going-Live/Forward-Test) it with paper money, then go live once you're satisfied.
→ Full click-by-click walkthrough: [Quickstart: Your First Signal in 10 Minutes](https://docs.algotest.in/Signals-AI/quickstart)
## ATR PineScript for TradingView
Prefer TradingView? Here's a ready-to-use ATR strategy template. Paste it into the Pine Editor, adjust the ATR Length, multiplier, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("ATR Strategy", overlay=true)
// Input parameters
atr_length = input.int(14, title="ATR Length")
atr_multiplier = input.float(2.0, title="ATR Multiplier")
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
// Calculate ATR
atr = ta.atr(atr_length)
// Strategy logic
long_condition = close > ta.sma(close, atr_length) + atr_multiplier * atr
short_condition = close < ta.sma(close, atr_length) - atr_multiplier * atr
// Plot ATR
plot(atr, color=color.blue, title="ATR")
// Strategy entry and exit
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = strategy.position_avg_price + target_points
long_stop_loss = strategy.position_avg_price - stop_loss_points
short_target = strategy.position_avg_price - target_points
short_stop_loss = strategy.position_avg_price + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it on TradingView, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate execution, or skip the PineScript and webhook setup entirely by rebuilding the same logic directly in Signals AI above.
## FAQ
### How do you use the ATR indicator?
The ATR indicator is primarily used to measure the volatility of a stock, commodity, or other assets. It can be applied to set more effective stop loss orders and adjust position sizes according to market conditions.
### What is the best ATR setting?
While the default setting for ATR calculation is typically 14 periods, adjusting the period count can provide more or less sensitivity depending on the trader's needs and the asset's typical volatility.
### Is ATR a good indicator for day trading?
Yes, the ATR can be extremely useful for day traders who need to understand the volatility and potential price movements of an asset within very short time frames.
### How do you use ATR for trailing stop loss?
To use ATR as a trailing stop loss, calculate a multiple of the ATR to set the stop loss level. For example, setting a stop loss at 1.5 times the ATR below the current price can allow for a buffer during normal market fluctuations.
### What are ATR bands?
ATR bands are similar to Bollinger Bands but use ATR values instead of standard deviation. These bands can provide dynamic support and resistance levels that adapt to changes in volatility.
To automate ATR-based strategies without writing code, visit [AlgoTest Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/bb_bands_strategy
# Bollinger Bands Indicator
**Bollinger Bands** are three lines plotted around price that expand and contract with volatility, one of the most widely used tools for reading how "stretched" a market is at any given moment.
## What is the Bollinger Bands Indicator?
Developed by John Bollinger in the 1980s, Bollinger Bands consist of:
- **Middle Band**: a moving average, typically a 20-period SMA
- **Upper Band**: middle band + N standard deviations (default 2)
- **Lower Band**: middle band − N standard deviations
The bands **widen when volatility rises and narrow when it falls**. Price near the upper band suggests overbought conditions; near the lower band, oversold. Price above/below the middle band indicates the prevailing trend direction.
### How to Read Bollinger Bands
- **Price near/above the upper band**: potentially overbought, or a strong breakout if volume confirms
- **Price near/below the lower band**: potentially oversold, or a breakdown if volume confirms
- **Bollinger Band squeeze**: bands tighten closely around price during low volatility, often a precursor to a significant move
- **Band walk**: price repeatedly touches or rides one band in a strong trend, rather than reverting to the middle
### Best Use Cases
1. **Volatility Analysis**: the distance between the bands directly measures how volatile an asset currently is.
2. **Trend Identification**: trading outside the typical band range can indicate a strong trend forming.
3. **Price Targeting**: the upper band often acts as dynamic resistance, the lower band as dynamic support.
4. **Squeeze Strategy**: traders watch for a squeeze (tight bands) as an early signal that a breakout is coming.
## How to Automate a Bollinger Bands Strategy on Signals AI (No Code)
You don't need TradingView, PineScript, or a webhook to trade Bollinger Bands signals. [Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals) is AlgoTest's no-code strategy builder. Describe your Bollinger Bands strategy in plain English, or build it visually on the Canvas, and it handles backtesting, paper trading, and live execution with your broker.
**Bollinger Bands parameters on Signals AI:**
| Parameter | Default | Description |
| --- | --- | --- |
| period | 20 | Lookback for the middle band |
| standard_deviations | 2 | Band width: higher = wider bands, fewer signals; lower = tighter bands, more signals |
| band_type | N/A | Which band the condition uses: Upper, Middle, or Lower |
**Example strategy: breakout (trending markets)**
| | Condition |
| ----- | ---------------------------------------------------------------------------- |
| Entry | Close crosses above the Upper Band (breakout with strong upward momentum) |
| Exit | Close crosses below the Lower Band |
:::tip Breakout vs mean reversion
This breakout strategy suits **trending** markets. In **ranging** markets, traders often invert the logic: buy at the lower band, exit at the upper band (mean reversion). Know which market you're in, or filter with ADX.
:::
**To build this:**
1. Open **Signals AI** and tell the [AI Agent](https://docs.algotest.in/Signals-AI/Creating-Signals/Using-the-AI-Agent) something like: *"Create a Bollinger Bands breakout strategy on NIFTY 5-minute spot where entry is Close crossing above the Upper Band and exit is Close crossing below the Lower Band."* Or build it manually on the [Canvas](https://docs.algotest.in/Signals-AI/Creating-Signals/Building-on-the-Canvas).
2. [Preview the signal on the chart](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Chart-Preview) to confirm entries line up with real band breakouts or bounces.
3. Connect a trade and [backtest](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Backtesting) it on historical data.
4. [Forward test](https://docs.algotest.in/Signals-AI/Going-Live/Forward-Test) it with paper money, then go live once you're satisfied.
→ Full click-by-click walkthrough: [Quickstart: Your First Signal in 10 Minutes](https://docs.algotest.in/Signals-AI/quickstart)
## Bollinger Bands PineScript for TradingView
Prefer TradingView? Here's a ready-to-use Bollinger Bands strategy template. Paste it into the Pine Editor, adjust the length, multiplier, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("Bollinger Bands Strategy", overlay=true)
// Input parameters
length = input.int(20, title="BB Length")
mult = input.float(2.0, title="BB Multiplier")
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
// Calculate Bollinger Bands
basis = ta.sma(close, length)
dev = mult * ta.stdev(close, length)
upper_band = basis + dev
lower_band = basis - dev
// Strategy logic
long_condition = ta.crossover(close, lower_band)
short_condition = ta.crossunder(close, upper_band)
// Plot Bollinger Bands
plot(upper_band, color=color.blue, title="Upper Band")
plot(lower_band, color=color.red, title="Lower Band")
// Strategy entry
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = strategy.position_avg_price + target_points
long_stop_loss = strategy.position_avg_price - stop_loss_points
short_target = strategy.position_avg_price - target_points
short_stop_loss = strategy.position_avg_price + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it on TradingView, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate execution, or skip the PineScript and webhook setup entirely by rebuilding the same logic directly in Signals AI above.
## FAQ
### How do you use the Bollinger Band indicator?
Bollinger Bands are typically used to measure market volatility and identify overbought or oversold conditions. Traders may look for stock prices crossing above or below the bands as buy or sell signals, respectively.
### What is the best setting for Bollinger Bands?
The standard setting for Bollinger Bands is a 20-day simple moving average with bands drawn at 2 standard deviations. However, settings can be adjusted for shorter or longer timeframes based on trading strategy needs.
### What does a Bollinger Bands squeeze indicate?
A Bollinger Bands squeeze suggests that the market is very low in volatility and is often followed by a significant move in either direction, indicating a potential breakout.
### Is the Bollinger Band strategy profitable?
Like any trading indicator, the profitability of Bollinger Bands depends on the trader's skill in using them in conjunction with other technical analysis tools and market conditions. They are not foolproof but can be a powerful component of a diversified trading strategy.
### Which indicators pair well with Bollinger Bands?
Traders often combine Bollinger Bands with momentum indicators like the Relative Strength Index (RSI) or the Moving Average Convergence Divergence (MACD) to confirm signals and enhance trading decisions.
To automate Bollinger Bands strategies without writing code, visit [AlgoTest Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/chaikin_money_flow_strategy
# Chaikin Money Flow (CMF) Indicator
The **Chaikin Money Flow (CMF)** indicator measures the volume-weighted average of accumulation and distribution over a set period, helping traders read the buying or selling pressure behind a market's moves.
## What is the Chaikin Money Flow Indicator?
Developed by Marc Chaikin, the CMF combines price and volume to show how much money is flowing into or out of a stock or index, typically over 20 or 21 periods.
- **Positive CMF**: the market is likely being accumulated; most volume is tied to upward price moves
- **Negative CMF**: the market is likely being distributed; most volume is tied to downward price moves
### How to Read CMF
- **Above the zero line**: buying pressure dominant
- **Below the zero line**: selling pressure dominant
- **Divergence**: if price makes a new high but CMF fails to reach a new high, momentum may be weakening, hinting at a possible reversal
### Best Use Cases
1. **Market Strength/Weakness**: see whether money is flowing into or out of a stock.
2. **Trend Confirmation**: a rising, positive CMF confirms an uptrend; a falling, negative CMF confirms a downtrend.
3. **Spotting Divergences**: a mismatch between price highs/lows and CMF can flag a weakening trend.
## Chaikin Money Flow PineScript for TradingView
Here's a ready-to-use CMF strategy template. Paste it into the Pine Editor, adjust the length, overbought/oversold levels, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("Chaikin Money Flow Strategy", overlay=true)
// Input parameters
length = input.int(20, title="Length")
overbought_level = input.float(0.3, title="Overbought Level")
oversold_level = input.float(-0.3, title="Oversold Level")
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
// Calculate Money Flow Multiplier (MFM) and Money Flow Volume (MFV)
typical_price = (high + low + close) / 3
money_flow = typical_price * volume
positive_money_flow = ta.sma(money_flow * (ta.change(typical_price) > 0 ? 1 : 0), length)
negative_money_flow = ta.sma(money_flow * (ta.change(typical_price) < 0 ? 1 : 0), length)
// Calculate Chaikin Money Flow (CMF)
cmf_value = (positive_money_flow - negative_money_flow) / ta.sma(volume, length)
// Strategy logic
long_condition = ta.crossover(cmf_value, oversold_level)
short_condition = ta.crossunder(cmf_value, overbought_level)
// Plot CMF
plot(cmf_value, color=color.blue, title="CMF")
// Strategy entry
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = high + target_points
long_stop_loss = low - stop_loss_points
short_target = low - target_points
short_stop_loss = high + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate live execution without manually watching the chart.
## FAQ
### Is Chaikin money flow a good indicator?
Yes, the Chaikin Money Flow is considered a good indicator for analyzing the market's buying and selling pressure, particularly when combined with other technical analysis tools.
### How do you use Chaikin money flow?
To use CMF effectively, look for periods where the indicator is above or below the zero line, which suggests accumulation or distribution, respectively. Also, look for divergences between the CMF and the price action as potential signals for reversals.
### What is the best setting for the Chaikin money flow indicator?
The typical setting for the CMF is 20 or 21 days, but this can be adjusted based on the trading style and the security's volatility.
### How do you read Chaikin money flow?
Read the CMF by observing its value relative to the zero line. Values above zero indicate buying pressure, while values below zero suggest selling pressure. Significant divergences from price trends can indicate potential price reversals.
### What is the best money flow indicator?
While the Chaikin Money Flow is highly regarded, the best money flow indicator can vary based on a trader's specific needs and strategy. Some traders might prefer the Money Flow Index (MFI), which also considers price and volume.
For more insights and detailed analysis tools, visit [AlgoTest Signals](https://algotest.in/feature/signals?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/elliott_wave_strategy
# Elliott Wave Indicator
The **Elliott Wave Indicator** is a methodology for forecasting market prices by identifying repetitive patterns ("waves") created by collective investor psychology and price extremes.
## What is the Elliott Wave Indicator?
Developed by Ralph Nelson Elliott in the late 1930s, Elliott Wave Theory proposes that markets, rather than moving chaotically, unfold in repetitive wave patterns driven by investor sentiment and mass psychology. Elliott identified two main wave types:
- **Impulse Waves**: move with the overall trend (a five-wave sequence)
- **Corrective Waves**: move against the trend (a three-wave sequence)
A complete cycle is often described as a "5-3-5" structure: five impulse waves, followed by a three-wave correction, followed by another five-wave impulse.
### The Three Rules of Elliott Wave
1. Wave 2 cannot retrace more than 100% of Wave 1
2. Wave 3 cannot be the shortest among the three impulse waves
3. Wave 4 cannot overlap with the price territory of Wave 1
### Best Use Cases
1. **Trend Identification**: forecasting where prices are likely to head next, useful for entry/exit timing.
2. **Risk Management**: understanding probable wave extensions helps set realistic stop-losses and profit targets.
3. **Cross-Market Analysis**: comparing where different markets or assets sit within their own Elliott Wave cycle.
:::note
Elliott Wave analysis is inherently subjective. Wave counts can be interpreted differently by different traders, and there's no single, mechanically precise indicator that identifies waves the way RSI or MACD compute a value. The PineScript below approximates wave extension levels using Fibonacci ratios rather than performing true wave counting.
:::
## Elliott Wave PineScript for TradingView
Here's a PineScript template that plots Fibonacci-based wave extension levels off recent highs and lows, a simplified, mechanical approximation of Elliott Wave analysis. Paste it into the Pine Editor, adjust the Fibonacci level, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("Elliott Wave Strategy", overlay=true)
// Input parameters
fib_level = input.float(1.618, title="Fibonacci Level")
length = input.int(10, "Length of Historical Candles")
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
// Calculate Fibonacci retracement levels
wave_high = ta.highest(high, 10)
wave_low = ta.lowest(low, 10)
wave_range = wave_high - wave_low
fib_0 = wave_high
fib_100 = wave_low
fib_1618 = fib_0 - fib_level * wave_range
// Plot Fibonacci retracement levels
plot(fib_0, color=color.blue, title="Fib 0.0")
plot(fib_100, color=color.red, title="Fib 100.0")
plot(fib_1618, color=color.green, title="Fib 161.8")
// Strategy logic
long_condition = ta.crossover(close, fib_1618)
short_condition = ta.crossunder(close, fib_1618)
// Strategy entry
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = close + target_points
long_stop_loss = close - stop_loss_points
short_target = close - target_points
short_stop_loss = close + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate live execution without manually watching the chart.
## FAQ
### Does Elliott Wave really work?
Elliott Wave Theory is well-respected and used by many professional traders and analysts. However, like any analysis tool, its effectiveness depends on proper application and market conditions.
### What is the concept of Elliott Wave Theory?
Elliott Wave Theory is based on the idea that markets follow predictable patterns called waves which are a result of investor sentiment and mass psychology.
### What is the Elliott wave 5-3-5?
This refers to the typical structure of Elliott Waves where a five-wave sequence (indicative of the trend) is followed by a three-wave sequence (a counter-trend correction), and then another five-wave sequence.
### How do I identify my Elliott wave pattern?
Identifying Elliott Wave patterns requires understanding of wave structures and their characteristics, such as wave length, wave height, and wave subdivisions. Traders often use charting software or manual analysis to help identify these patterns, since the counting itself is subjective.
### What are the three rules of the Elliott wave?
The three immutable rules of Elliott Wave Theory are: Wave 2 cannot retrace more than 100% of Wave 1, Wave 3 cannot be the shortest among the three impulse waves, and Wave 4 cannot overlap with the price territory of Wave 1.
For more insights and detailed analysis tools, visit [AlgoTest Signals](https://algotest.in/feature/signals?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/ema_macd_rsi_combined_strategy
# EMA MACD RSI Combined Strategy
Combining a **trend indicator (EMA)**, a **momentum-confirmation indicator (MACD)**, and an **overbought/oversold filter (RSI)** into a single strategy is a common way to reduce false signals: each indicator has to agree before a trade is taken.
## What is the EMA MACD RSI Combined Strategy?
Using a single indicator on its own means acting on every signal it produces, including the false ones. Stacking conditions from three different indicator families forces confirmation from multiple angles before entering:
- **EMA crossover**: confirms the underlying trend direction
- **MACD**: confirms momentum is aligned with that trend
- **RSI**: filters out entries where momentum is already overextended
**Typical logic:**
- **Long**: Fast EMA crosses above Slow EMA **AND** MACD Signal Line is above the MACD Line **AND** RSI is above a threshold (e.g., 60)
- **Short**: Fast EMA crosses below Slow EMA **AND** MACD Signal Line is below the MACD Line **AND** RSI is below a threshold (e.g., 40)
### Best Use Cases
- **Reducing false signals** in choppy markets where a single indicator alone would whipsaw
- **Trend + momentum confirmation** setups on liquid instruments like NIFTY and Bank Nifty
- **Building conviction filters**: the more conditions that must align, the fewer but higher-conviction the signals
## How to Automate This on Signals AI (No Code)
You don't need TradingView, PineScript, or a webhook to combine indicators. [Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals) is AlgoTest's no-code strategy builder, and combining multiple indicators with **AND**/**OR** logic is exactly what the [Logical Node](https://docs.algotest.in/Signals-AI/Creating-Signals/Building-on-the-Canvas#2-logical-node) on the Canvas is built for.
**To build this:**
1. Open **Signals AI** and describe the whole thing to the [AI Agent](https://docs.algotest.in/Signals-AI/Creating-Signals/Using-the-AI-Agent) in one prompt: *"Create a strategy on NIFTY 5-minute spot. Entry: EMA(9) crosses above EMA(21) AND MACD line is above the signal line AND RSI(7) is above 60. Exit: EMA(9) crosses below EMA(21) AND MACD line is below the signal line AND RSI(7) is below 40."*
2. Or build it manually on the [Canvas](https://docs.algotest.in/Signals-AI/Creating-Signals/Building-on-the-Canvas): add three **Comparison Nodes** (EMA crossover, MACD line vs. signal line, RSI vs. threshold) under Entry Conditions, then connect them all through an **AND** Logical Node so every condition must be true before a signal fires. Repeat with the mirrored logic under Exit Conditions.
3. [Preview the signal on the chart](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Chart-Preview) to see how much the extra conditions cut down the signal count compared to using EMA alone.
4. Connect a trade and [backtest](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Backtesting) it on historical data.
5. [Forward test](https://docs.algotest.in/Signals-AI/Going-Live/Forward-Test) it with paper money, then go live once you're satisfied.
→ Full click-by-click walkthrough: [Quickstart: Your First Signal in 10 Minutes](https://docs.algotest.in/Signals-AI/quickstart)
## EMA MACD RSI Combined PineScript for TradingView
Prefer TradingView? Here's a ready-to-use combined strategy template. Paste it into the Pine Editor, adjust the EMA/MACD/RSI lengths, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("Combining 3 indicator Strategy", overlay=true)
fast_ema_L = input.int(defval=9, title='Fast EMA Length', group='EMA')
slow_ema_L = input.int(defval=21, title='Slow EMA Length', group='EMA')
fast_macd_L = input.int(defval=12, title='Fast MACD Length', group='MACD')
slow_macd_L = input.int(defval=26, title='Slow MACD Length', group='MACD')
siglen = input.int(defval=9, title='Signal Smoothing MACD', group='MACD')
rsi_L = input.int(defval=7, title='RSI Length', group='RSI')
rsi_val_gt = input.int(defval=60, title='RSI greater than', group='RSI')
rsi_val_lt = input.int(defval=40, title='RSI lesser than', group='RSI')
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
fast_ema = ta.ema(close, fast_ema_L)
slow_ema = ta.ema(close, slow_ema_L)
[macdLine, signalLine, histLine] = ta.macd(close, fast_macd_L, slow_macd_L, siglen)
rsi = ta.rsi(close, rsi_L)
long_condition = ta.crossover(fast_ema, slow_ema) and signalLine > macdLine and rsi > rsi_val_gt
short_condition = ta.crossunder(fast_ema, slow_ema) and signalLine < macdLine and rsi < rsi_val_lt
plot(macdLine, title='MACD Line', color=color.blue)
plot(signalLine, title='MACD Signal Line', color=color.orange)
plot(fast_ema, title='Fast EMA', color=color.aqua)
plot(slow_ema, title='Slow EMA', color=color.yellow)
plot(rsi, title='RSI', color=color.lime)
// Strategy entry and exit
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = strategy.position_avg_price + target_points
long_stop_loss = strategy.position_avg_price - stop_loss_points
short_target = strategy.position_avg_price - target_points
short_stop_loss = strategy.position_avg_price + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it on TradingView, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate execution, or skip the PineScript and webhook setup entirely by rebuilding the same logic directly in Signals AI above.
## FAQ
### Why combine EMA, MACD, and RSI instead of using one indicator?
Each indicator covers a different job: EMA for trend direction, MACD for momentum confirmation, RSI for avoiding overextended entries. Requiring all three to agree filters out a lot of the false signals a single indicator would generate on its own, at the cost of fewer total trades.
### Does adding more indicators always improve a strategy?
No. Every extra condition reduces the number of signals, and past a point you're just overfitting to historical data. Two to three well-chosen, non-redundant indicators (trend + momentum + a filter) is usually enough; stacking five or six rarely helps.
### What timeframe works best for a combined EMA/MACD/RSI strategy?
It depends on your holding period, but 5-minute and 15-minute charts on NIFTY/Bank Nifty are common for intraday combined strategies. Always backtest on your actual target timeframe rather than assuming.
For more insights and detailed analysis tools, visit [AlgoTest Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/fibonacci_retracement_strategy
# Fibonacci Retracement Indicator
**Fibonacci retracement** levels are horizontal lines that mark potential support and resistance zones, based on the key ratios from the Fibonacci number sequence.
## What is the Fibonacci Retracement Indicator?
Drawn between a significant high and low, Fibonacci retracement plots horizontal levels at ratios derived from the Fibonacci sequence, most commonly **23.6%, 38.2%, 50%, 61.8%, and 78.6%**. The idea is that after a strong move, price often "retraces" a portion of that move before continuing in the original direction, and it tends to pause or reverse near these specific ratio levels.
### How to Read Fibonacci Retracement
- **61.8% level ("golden ratio")**: the most closely watched retracement level; a bounce here is often read as a continuation signal
- **38.2% level**: a shallower retracement, suggesting a strong underlying trend
- **50% level**: not a true Fibonacci ratio, but widely watched as a psychological midpoint
- A **close crossing back through a retracement level** in the direction of the original trend is commonly used as an entry trigger
### Best Use Cases
1. **Identifying Potential Support/Resistance**: retracement levels give traders specific price zones to watch for a reaction.
2. **Setting Entries within a Trend**: waiting for a pullback to a Fibonacci level before entering in the trend's direction, rather than chasing price.
3. **Combining with Other Tools**: Fibonacci levels are typically used alongside trendlines, candlestick patterns, or an indicator like RSI for confirmation, rather than as a standalone signal.
## Fibonacci Retracement PineScript for TradingView
Here's a ready-to-use Fibonacci retracement strategy template, using the 61.8% and 38.2% levels calculated off a rolling lookback window. Paste it into the Pine Editor, adjust the lookback length, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("Fibonacci Retracement Strategy", overlay=true)
// Input parameters
fib_levels = input.bool(true, title="Show Fibonacci Levels")
n = input.int(20, title="Number of Historical Candles")
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
// Calculate Fibonacci levels
high_price = ta.highest(close, 20)
low_price = ta.lowest(close, 20)
range_ = high_price - low_price
fib618 = high_price - range_ * 0.618
fib382 = high_price - range_ * 0.382
// Strategy logic
long_condition = ta.crossover(close, fib618)
short_condition = ta.crossunder(close, fib382)
// Plot Fibonacci levels
plot(fib_levels ? fib618 : na , "61.8%", color=color.blue, trackprice=true)
plot(fib_levels ? fib382 : na , "38.2%", color=color.red, trackprice=true)
// Strategy entry and exit
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = strategy.position_avg_price + target_points
long_stop_loss = strategy.position_avg_price - stop_loss_points
short_target = strategy.position_avg_price - target_points
short_stop_loss = strategy.position_avg_price + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate live execution without manually watching the chart.
## FAQ
### What are the main Fibonacci retracement levels?
The most commonly used levels are 23.6%, 38.2%, 50%, 61.8%, and 78.6%. Of these, 61.8% and 38.2% are the most closely watched by traders.
### Is Fibonacci retracement reliable?
Fibonacci retracement is widely used, but like any technical tool its reliability depends on market context and confirmation from other indicators or price action; it works best as one input among several, not a standalone signal.
### How do you draw Fibonacci retracement levels?
Select a clear swing high and swing low on the chart, then draw the Fibonacci retracement tool between them. Most charting platforms, including TradingView, calculate and plot the standard levels automatically.
### What is the 61.8% Fibonacci level used for?
Often called the "golden ratio," the 61.8% level is the most watched retracement level: a bounce here, in the direction of the prior trend, is commonly treated as a continuation signal.
### Can Fibonacci retracement be automated?
Yes, since the levels are calculated mathematically from a recent high and low, they can be scripted and traded systematically, as shown in the PineScript template above.
For more insights and detailed analysis tools, visit [AlgoTest Signals](https://algotest.in/feature/signals?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/halftrend_strategy
# HalfTrend Indicator
The **HalfTrend indicator** is a trend-following tool that dynamically plots potential support and resistance levels, aiming to give a cleaner, less noisy read on trend direction than a plain moving average.
## What is the HalfTrend Indicator?
HalfTrend is a relatively modern technical analysis tool, built to identify trends and potential reversal points while filtering out market noise. It's used primarily in forex but applies equally to equities, commodities, and index derivatives. It uses an amplitude parameter to control sensitivity: how closely the line tracks price.
### How to Read HalfTrend
- **Line below price, arrow pointing up**: bullish trend
- **Line above price, arrow pointing down**: bearish trend
- The **amplitude** setting adjusts sensitivity: higher amplitude filters out more minor price changes, reducing false signals at the cost of slower reaction
### Best Use Cases
1. **Trend Identification**: HalfTrend's primary strength: aligning trades with the prevailing direction.
2. **Entry and Exit Timing**: the clear visual flip (arrow direction change) marks potential entry and exit points.
3. **Combining with Other Indicators**: pairing with RSI or MACD can confirm the strength behind a HalfTrend signal.
## HalfTrend PineScript for TradingView
Here's a ready-to-use HalfTrend-style strategy template, using a moving-average-based trend flip as a simplified approximation. Paste it into the Pine Editor, adjust the moving average length, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("Half Trend Strategy", overlay=true)
// Input parameters
ma_length = input.int(20, title="Moving Average Length")
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
// Calculate Moving Average
ma = ta.sma(close, ma_length)
// Determine trend
trend_up = close > ma
trend_down = close < ma
// Strategy logic
long_condition = trend_up and trend_up[1] == false
short_condition = trend_down and trend_down[1] == false
// Plot Moving Average
plot(ma, color=color.blue, title="Moving Average")
// Strategy entry
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = strategy.position_avg_price + target_points
long_stop_loss = strategy.position_avg_price - stop_loss_points
short_target = strategy.position_avg_price - target_points
short_stop_loss = strategy.position_avg_price + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate live execution without manually watching the chart.
## FAQ
### What is the HalfTrend indicator?
The HalfTrend indicator is a technical analysis tool used to determine market trends and forecast future price movements by dynamically plotting support and resistance levels.
### How do you use a trend indicator?
A trend indicator can be used by looking for periods where the indicator suggests a strong upward or downward trend. Traders may decide to enter trades in the direction of the trend when the indicator provides a clear signal.
### What is amplitude in the HalfTrend indicator?
Amplitude refers to the sensitivity setting that determines how closely the indicator tracks price movements. Adjusting the amplitude can help reduce false signals by making the indicator less responsive to minor price changes.
### What is the Trend Magic indicator?
While not directly related to HalfTrend, the Trend Magic indicator is another tool used to identify a trend's direction and strength. It combines CCI and ATR values to provide a dynamic trend line.
For more insights and detailed analysis tools, visit [AlgoTest Signals](https://algotest.in/feature/signals?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/ichimoku_cloud_strategy
# Ichimoku Cloud Indicator
The **Ichimoku Cloud** (Ichimoku Kinko Hyo) is an all-in-one indicator that defines support and resistance, identifies trend direction, gauges momentum, and generates trading signals, all from a single overlay on the chart.
## What is the Ichimoku Cloud Indicator?
Developed in the late 1930s by Japanese journalist Goichi Hosoda, who spent 30 years refining it before publishing, the Ichimoku Cloud is built from five components:
1. **Tenkan-sen (Conversion Line)**: midpoint of the last 9 periods
2. **Kijun-sen (Base Line)**: midpoint of the last 26 periods
3. **Senkou Span A (Leading Span A)**: average of Tenkan-sen and Kijun-sen, plotted 26 periods ahead
4. **Senkou Span B (Leading Span B)**: midpoint of the last 52 periods, plotted 26 periods ahead
5. **Chikou Span (Lagging Span)**: the closing price, plotted 26 periods in the past
The space between Senkou Span A and Senkou Span B forms the "cloud" (Kumo).
### How to Read the Ichimoku Cloud
- **Price above the cloud**: uptrend
- **Price below the cloud**: downtrend
- **Tenkan-sen crosses above Kijun-sen**: potential bullish signal, similar to a fast/slow MA crossover
- **Cloud thickness**: a thicker cloud suggests a stronger support/resistance zone; a thin cloud suggests weaker, more easily broken support/resistance
### Best Use Cases
1. **Trend Identification**: a quick visual read of whether the market is trending up, down, or ranging.
2. **Momentum & Trend Strength**: the relationship between Tenkan-sen and Kijun-sen signals shifts in momentum.
3. **Support and Resistance**: the cloud itself acts as a dynamic zone, with thickness indicating strength.
## Ichimoku Cloud PineScript for TradingView
Here's a ready-to-use Ichimoku-style strategy template. Paste it into the Pine Editor, adjust the conversion/base/lagging span periods, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("Ichimoku Cloud Strategy", overlay=true)
// Input parameters
conversion_period = input.int(9, title="Conversion Line Period")
base_period = input.int(26, title="Base Line Period")
lagging_span2_period = input.int(52, title="Lagging Span 2 Period")
displacement = input.int(26, title="Displacement")
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
// Calculate Ichimoku Cloud
tenkan_sen = ta.sma((high + low) / 2, conversion_period)
kijun_sen = ta.sma((high + low) / 2, base_period)
senkou_span_a = ((tenkan_sen + kijun_sen) / 2)[displacement]
senkou_span_b = ta.sma((high + low) / 2, lagging_span2_period)[displacement]
// Strategy logic
long_condition = close > senkou_span_a and close > senkou_span_b
short_condition = close < senkou_span_a and close < senkou_span_b
// Plot Ichimoku Cloud
plot(senkou_span_a, color=color.blue, title="Senkou Span A")
plot(senkou_span_b, color=color.red, title="Senkou Span B")
// Strategy entry
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = strategy.position_avg_price + target_points
long_stop_loss = strategy.position_avg_price - stop_loss_points
short_target = strategy.position_avg_price - target_points
short_stop_loss = strategy.position_avg_price + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate live execution without manually watching the chart.
## FAQ
### Is Ichimoku Cloud effective?
Yes, the Ichimoku Cloud is effective for traders who need a comprehensive view of the market's trends, momentum, support, and resistance levels in a single overlay.
### Which Ichimoku Cloud settings are best?
The standard settings (9, 26, 52) are widely regarded as the best starting point for daily trading, but adjustments might be necessary based on specific market conditions and trading timeframes.
### What is the win rate of an Ichimoku Cloud strategy?
The success rate can vary widely among traders, but when used correctly, the Ichimoku Cloud has a reputation for providing reliable signals, particularly in trending markets.
### How do you trade with the Ichimoku Cloud?
Consider entering long positions when price is above the cloud and short positions when it's below. Look for Tenkan-sen and Kijun-sen crosses as additional confirmation.
### What are the best settings for Ichimoku?
While the default settings (9, 26, 52) are a good starting point, traders may find that adjusting these to fit the specific asset or market conditions enhances the indicator's effectiveness.
For more insights and detailed analysis tools, visit [AlgoTest Signals](https://algotest.in/feature/signals?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/ma_crossover_strategy
# Moving Average (MA) Crossover Indicator
A **Moving Average crossover** is one of the oldest and most widely used technical analysis signals: plot two moving averages of different lengths on a chart, and trade the moment the shorter one crosses the longer one.
## What is a Moving Average Crossover?
Two moving averages are plotted, one shorter-term and one longer-term, and traders watch for the moment they cross:
- **Bullish crossover**: the shorter MA crosses above the longer MA, suggesting a potential upward trend
- **Bearish crossover**: the shorter MA crosses below the longer MA, suggesting a potential downward trend
The moving averages themselves can be **SMA** (Simple), **EMA** (Exponential, more responsive to recent price), or **WMA** (Weighted). The most popular variant by far is the **EMA crossover strategy**, since EMA reacts faster to new price action than a plain SMA.
### How to Read an MA Crossover
- **Fast MA crosses above Slow MA**: potential entry for a long position
- **Fast MA crosses below Slow MA**: potential entry for a short position, or exit for an existing long
- Common pairs: **9/21 EMA** (short-term, intraday), **20/50 EMA** (swing), **50/200** (the "Golden Cross" / "Death Cross" on daily charts, used for long-term trend calls)
### Best Use Cases
1. **Trend Identification**: a bullish crossover flags the possible start of an uptrend; a bearish one, a downtrend.
2. **Trade Entries and Exits**: enter when the fast MA crosses above the slow MA, exit on the reverse cross.
3. **Filtering Noise**: moving averages smooth out short-term price noise, making the underlying trend easier to read.
## How to Automate an EMA Crossover Strategy on Signals AI (No Code)
You don't need TradingView, PineScript, or a webhook to trade an MA crossover strategy. [Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals) is AlgoTest's no-code strategy builder. Describe your strategy in plain English, or build it visually on the Canvas, and it handles backtesting, paper trading, and live execution with your broker. EMA, SMA, WMA, and VWMA are all available as indicators.
**Example strategy: EMA 20/50 crossover**
| | Condition |
| ----- | ----------------------------------------------- |
| Entry | EMA(20) crosses above EMA(50), 5m timeframe |
| Exit | EMA(20) crosses below EMA(50) |
**To build this:**
1. Open **Signals AI** and tell the [AI Agent](https://docs.algotest.in/Signals-AI/Creating-Signals/Using-the-AI-Agent):
> Create an EMA crossover strategy where the entry condition is EMA 20 crossing above EMA 50, and the exit condition is EMA 20 crossing below EMA 50. Use the 5-minute timeframe on NIFTY spot.
2. Or build it manually on the [Canvas](https://docs.algotest.in/Signals-AI/Creating-Signals/Building-on-the-Canvas#worked-example-ema-2050-crossover-built-manually): add a Comparison Node, search for **EMA**, set Period 20 for the fast leg and Period 50 for the slow leg, and use the **Crosses Above** / **Crosses Below** operator.
3. [Preview the signal on the chart](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Chart-Preview) to confirm entries line up with real crossovers.
4. Connect a trade and [backtest](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Backtesting) it on historical data.
5. [Forward test](https://docs.algotest.in/Signals-AI/Going-Live/Forward-Test) it with paper money, then go live once you're satisfied.
Want SMA or WMA instead of EMA? Same steps, just swap the indicator on the node.
→ Full click-by-click walkthrough: [Quickstart: Your First Signal in 10 Minutes](https://docs.algotest.in/Signals-AI/quickstart)
## MA Crossover PineScript for TradingView
Prefer TradingView? Here's a ready-to-use Moving Average crossover strategy template (SMA-based by default; swap `ta.sma` for `ta.ema` if you want the EMA version). Paste it into the Pine Editor, adjust the lengths, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("Moving Averages Strategy", overlay=true)
// Input parameters
fast_length = input.int(9, title="Fast MA Length")
slow_length = input.int(21, title="Slow MA Length")
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
// Calculate moving averages
fast_ma = ta.sma(close, fast_length)
slow_ma = ta.sma(close, slow_length)
// Strategy logic
long_condition = ta.crossover(fast_ma, slow_ma)
short_condition = ta.crossunder(fast_ma, slow_ma)
// Plot moving averages
plot(fast_ma, color=color.blue, title="Fast MA")
plot(slow_ma, color=color.red, title="Slow MA")
// Strategy entry
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = strategy.position_avg_price + target_points
long_stop_loss = strategy.position_avg_price - stop_loss_points
short_target = strategy.position_avg_price - target_points
short_stop_loss = strategy.position_avg_price + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it on TradingView, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate execution, or skip the PineScript and webhook setup entirely by rebuilding the same logic directly in Signals AI above.
## FAQ
### Which is the best EMA crossover strategy?
The best EMA crossover strategy typically involves using commonly followed periods like the 50-day and 200-day EMAs. This is known as the "Golden Cross" when the 50 crosses above the 200, and the "Death Cross" when it crosses below. For intraday, 9/21 and 20/50 EMA pairs on lower timeframes are more common.
### What is the 3 MA cross strategy?
The 3 MA cross strategy involves using three different moving averages, typically a combination of short, medium, and long-term MAs. A signal is generated when all three align in a specific order indicating a strong trend.
### Does MA crossover work?
MA crossovers can be effective in trend-following contexts but may generate false signals in ranging or choppy markets. Their effectiveness improves when combined with other forms of technical analysis, like ADX for trend strength.
### What happens when 200 MA crosses 50 MA?
When the 200-day MA crosses above the 50-day MA, it's considered a bearish signal (Death Cross), indicating potential selling pressure ahead. Conversely, if the 200-day MA crosses below the 50-day MA, it is seen as a bullish signal (Golden Cross).
### What does MA cross mean?
An MA cross occurs when one moving average crosses over another. It is interpreted as a sign that momentum is shifting, and potentially a new trend is beginning.
### What is the 9/21 EMA crossover strategy?
This strategy uses two EMAs: a fast (9-period) and a slow (21-period). A buy signal is generated when the 9-period EMA crosses above the 21-period EMA, and a sell signal when it crosses below. It's a popular choice for short-term, intraday setups.
For more insights and detailed trading signals based on MA crossovers and other strategies, visit [AlgoTest Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/macd_strategy
# MACD Indicator
The **MACD (Moving Average Convergence Divergence)** is a trend-following momentum indicator that shows the relationship between two moving averages of a security's price. It's one of the most widely used indicators in technical analysis.
## What is the MACD Indicator?
Created by Gerald Appel in the late 1970s, MACD is designed to reveal changes in the strength, direction, momentum, and duration of a trend. It's made up of three components:
- **MACD Line**: the 12-period EMA minus the 26-period EMA: short-term momentum
- **Signal Line**: a 9-period EMA of the MACD Line: the trigger line
- **Histogram**: MACD Line minus Signal Line: positive means bullish momentum, negative means bearish
### How to Read MACD
- **MACD line crosses above the signal line**: bullish signal, price likely to see upward momentum
- **MACD line crosses below the signal line**: bearish signal, price likely to see downward momentum
- **MACD crossing above/below the zero line**: signals a potential broader trend change
- **Divergence** between MACD and price: a strong signal that the current trend may be ending
### Best Use Cases
1. **Trend Confirmation**: a positive MACD indicates the short-term average is above the long-term average, signaling upward momentum.
2. **Buy/Sell Signals**: signal line crossovers, zero-line crossovers, and divergence are the three classic MACD signals.
3. **Divergence**: when price and MACD disagree, it often signals the end of the current trend.
## How to Automate a MACD Strategy on Signals AI (No Code)
You don't need TradingView, PineScript, or a webhook to trade MACD signals. [Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals) is AlgoTest's no-code strategy builder. Describe your MACD logic in plain English, or build it visually on the Canvas, and it handles backtesting, paper trading, and live execution with your broker.
**MACD parameters on Signals AI:**
| Parameter | Default | Description |
| --- | --- | --- |
| fast_period | 12 | Fast EMA period |
| slow_period | 26 | Slow EMA period |
| signal_period | 9 | Signal line EMA period |
| source | CLOSE | Price source |
| macd_component | MACD_LINE | Which output the condition uses: MACD_LINE, SIGNAL_LINE, or HISTOGRAM |
**Example strategy: MACD crossover**
| | Condition |
| ----- | ------------------------------------- |
| Entry | MACD Line crosses above Signal Line |
| Exit | MACD Line crosses below Signal Line |
**To build this:**
1. Open **Signals AI** and tell the [AI Agent](https://docs.algotest.in/Signals-AI/Creating-Signals/Using-the-AI-Agent) something like: *"Create a MACD strategy on NIFTY 5-minute spot where entry is MACD line crossing above signal line and exit is MACD line crossing below signal line."* Or add a MACD **Comparison Node** manually on the [Canvas](https://docs.algotest.in/Signals-AI/Creating-Signals/Building-on-the-Canvas).
2. [Preview the signal on the chart](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Chart-Preview) to confirm entries/exits line up with real MACD crossovers.
3. Connect a trade and [backtest](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Backtesting) it on historical data.
4. [Forward test](https://docs.algotest.in/Signals-AI/Going-Live/Forward-Test) it with paper money, then go live once you're satisfied.
→ Full click-by-click walkthrough: [Quickstart: Your First Signal in 10 Minutes](https://docs.algotest.in/Signals-AI/quickstart)
## MACD PineScript for TradingView
Prefer TradingView? Here's a ready-to-use MACD strategy template. Paste it into the Pine Editor, adjust the EMA lengths, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("MACD Strategy", overlay=true)
// Input parameters
fast_length = input.int(12, title="Fast EMA Length")
slow_length = input.int(26, title="Slow EMA Length")
signal_length = input.int(9, title="Signal Line Length")
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
// Calculate MACD
[macd_line, signal_line, _] = ta.macd(close, fast_length, slow_length, signal_length)
// Strategy logic
long_condition = ta.crossover(macd_line, signal_line)
short_condition = ta.crossunder(macd_line, signal_line)
// Plot MACD
plot(macd_line, color=color.blue, title="MACD Line")
plot(signal_line, color=color.red, title="Signal Line")
// Strategy entry and exit
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = strategy.position_avg_price + target_points
long_stop_loss = strategy.position_avg_price - stop_loss_points
short_target = strategy.position_avg_price - target_points
short_stop_loss = strategy.position_avg_price + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it on TradingView, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate execution, or skip the PineScript and webhook setup entirely by rebuilding the same logic directly in Signals AI above.
## FAQ
### What is the best strategy for MACD?
The most effective strategy using MACD is to trade on signal line crossovers. Combining this with confirmation from other indicators can increase the reliability of the signals.
### How do you use MACD for beginners?
Beginners should start by observing how the MACD line and the signal line crossover correlates with price movement, and then practice with historical data before executing live trades.
### What is a good MACD signal?
A good MACD signal for buying is when the MACD line crosses above the signal line, ideally above the zero line. For selling, a good signal is when the MACD line crosses below the signal line, ideally below the zero line.
### Which time frame is best for MACD?
The best time frame for using MACD can vary depending on your trading strategy, but generally, medium to long-term time frames such as 1-hour, 4-hour, or daily charts are commonly used.
### What does 12 26 9 mean on MACD?
These numbers represent the settings for the MACD indicator: the 12 represents the previous 12 bars of the faster moving average, 26 represents the previous 26 bars of the slower moving average, and 9 is the number of bars to calculate the difference between the fast and slow moving averages (the signal line).
For more insights and detailed analysis tools, visit [AlgoTest Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/obv_strategy
# OBV (On-Balance Volume) Indicator
**On-Balance Volume (OBV)** is a cumulative indicator that relates volume to price change, designed to reveal whether volume is flowing into or out of a security ahead of the price itself moving.
## What is the OBV Indicator?
Developed by Joseph Granville in the early 1960s and introduced in *Granville's New Key to Stock Market Profits*, OBV runs on a simple premise: volume often leads price. As a stock's price rises on increasing volume, that's read as confirmation of the trend; if volume and price start disagreeing, it's a warning sign.
**How OBV is built:** on each candle, the full volume is added to a running total if the close is higher than the previous close, and subtracted if the close is lower.
### How to Read OBV
- **OBV rising with price**: the trend is confirmed by volume
- **OBV falling while price rises**: a warning sign; the rally may lack real buying support
- **OBV rising sharply without a matching price move**: often read as a sign that a breakout could be coming
- **Divergence** between OBV and price: a lack of confirmation, and a common early warning of reversal
### Best Use Cases
1. **Trend Confirmation**: use OBV to check whether a price trend has genuine volume support.
2. **Breakout Anticipation**: a rapidly rising OBV ahead of a price move can hint that a breakout is building.
3. **Divergence**: spotting when OBV and price disagree is one of OBV's most useful applications.
## OBV PineScript for TradingView
Here's a ready-to-use OBV strategy template. Paste it into the Pine Editor, adjust the smoothing length, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("OBV Strategy", overlay=true)
// Input parameters
length = input.int(14, title="Length")
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
// Initialize OBV variable
var float obv_value = na
// Calculate OBV
obv_value := nz(obv_value[1]) + (close - close[1]) * (volume > volume[1] ? 1 : volume < volume[1] ? -1 : 0)
// Strategy logic
long_condition = ta.crossover(obv_value, ta.sma(obv_value, length))
short_condition = ta.crossunder(obv_value, ta.sma(obv_value, length))
// Plot OBV
plot(obv_value, color=color.blue, title="OBV")
// Strategy entry
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = strategy.position_avg_price + target_points
long_stop_loss = strategy.position_avg_price - stop_loss_points
short_target = strategy.position_avg_price - target_points
short_stop_loss = strategy.position_avg_price + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate live execution without manually watching the chart.
## FAQ
### How do I use the OBV indicator?
Track the cumulative total volume, which adds when the price finishes higher and subtracts when the price finishes lower. Watch for OBV trend direction and divergence against price.
### What is the best time frame for the OBV indicator?
OBV can be effective on any time frame, but it is most useful on daily charts for identifying longer-term trends.
### Is OBV good for day trading?
While OBV can be used for day trading, its effectiveness might be limited compared to its use in identifying longer-term trends, since it's sensitive to sudden shifts in volume.
### What is the trading strategy of OBV?
A common OBV trading strategy is to buy when OBV starts rising while price is still stable or starting to rise, suggesting incoming buying pressure. Conversely, sell when OBV starts falling and price begins to follow or has already started to fall.
For more insights and detailed analysis tools, visit [AlgoTest Signals](https://algotest.in/feature/signals?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/parabolic_sar_strategy
# Parabolic SAR Indicator
**Parabolic SAR (Stop and Reverse)** is a trend-following indicator plotted as a series of dots above or below price, designed to flag potential trend reversals and double as a trailing stop.
## What is the Parabolic SAR Indicator?
Developed by J. Welles Wilder Jr. and introduced in his 1978 book *New Concepts in Technical Trading Systems*, Parabolic SAR determines the direction of an asset's momentum and marks potential reversal points based on prices staying within a parabolic curve during a strong trend.
- **Dot below price**: bullish; the asset is trending up
- **Dot above price**: bearish; the asset is trending down
### How to Read Parabolic SAR
- **Dots flip from below to above price**: potential trend reversal from up to down; often read as an exit or short signal
- **Dots flip from above to below price**: potential trend reversal from down to up; often read as an entry or long signal
- As a trend continues, the dots move progressively closer to price; this is what makes Parabolic SAR useful as a **trailing stop**, not just a directional signal
### Best Use Cases
1. **Determining Trend Direction**: the dot flip is a clear, visual reversal signal.
2. **Trailing Stops**: the accelerating dots naturally tighten a stop as a trend matures, locking in profit while staying in the trade.
3. **Entry and Exit Points**: many traders use the flip itself as the trigger to enter or exit a position.
:::note
Parabolic SAR works best in trending markets. In sideways, choppy conditions it tends to flip frequently and generate false signals; pairing it with ADX to confirm trend strength is a common fix.
:::
## Parabolic SAR PineScript for TradingView
Here's a ready-to-use Parabolic SAR strategy template. Paste it into the Pine Editor, adjust the acceleration factor start, increment, maximum, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("Parabolic SAR Strategy", overlay=true)
// Input parameters
af_start = input.float(0.02, title="Acceleration Factor Start")
af_increment = input.float(0.02, title="Acceleration Factor Increment")
af_maximum = input.float(0.2, title="Acceleration Factor Maximum")
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
// Calculate Parabolic SAR
sar = ta.sar(af_start, af_increment, af_maximum)
// Strategy logic
long_condition = ta.crossover(close, sar)
short_condition = ta.crossunder(close, sar)
// Plot Parabolic SAR
plot(sar, color=color.blue, title="Parabolic SAR", offset=-1)
// Strategy entry and exit
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = strategy.position_avg_price + target_points
long_stop_loss = strategy.position_avg_price - stop_loss_points
short_target = strategy.position_avg_price - target_points
short_stop_loss = strategy.position_avg_price + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate live execution without manually watching the chart.
## FAQ
### Is Parabolic SAR a good indicator?
Yes, Parabolic SAR can be highly effective in trending markets for determining potential reversals, entries, and exits. It performs poorly in sideways, range-bound markets.
### What do Parabolic SAR dots indicate?
The dots represent potential reversal points. Dots below the price indicate a bullish trend, while dots above indicate a bearish trend.
### What is the best strategy for Parabolic SAR?
One effective approach is combining Parabolic SAR with other indicators like MACD or RSI to confirm trend direction and potential reversal signals before acting on a flip.
### How is Parabolic SAR calculated?
Parabolic SAR is calculated using a formula that factors in the previous period's SAR, the extreme point (EP) of the previous period, and the acceleration factor (AF), which increases as the trend extends.
### What is the best setting for Parabolic SAR?
The default settings are usually a step of 0.02 and a maximum of 0.2, but these can be adjusted based on the asset and market conditions to make the indicator more or less sensitive.
For more insights and detailed analysis tools, visit [AlgoTest Signals](https://algotest.in/feature/signals?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/rsi_strategy
# RSI Indicator
The **RSI (Relative Strength Index)** is a momentum oscillator between 0 and 100 that measures the speed and change of price movements. It's one of the most widely used indicators for spotting overbought/oversold conditions and momentum reversals.
## What is the RSI Indicator?
Developed by J. Welles Wilder Jr. in 1978 and introduced in his book *New Concepts in Technical Trading Systems*, the RSI compares the magnitude of recent gains to recent losses over a lookback period (14 by default) to gauge whether a security is overbought or oversold.
**RSI formula:** `RSI = 100 − (100 / (1 + RS))`, where RS is the average gain of up periods divided by the average loss of down periods over the specified period.
### How to Read RSI
- **Above 70**: overbought; potential pullback
- **Below 30**: oversold; potential bounce
- **Crossing above 30**: bearish momentum fading, often read as bullish
- **Crossing below 70**: market likely due a pullback, often read as bearish
### RSI Divergence
Divergence is one of RSI's strongest signals. It happens when price and RSI disagree:
- **Bearish divergence**: price makes a new high, but RSI makes a lower high. Momentum is weakening even though price is still rising, often a warning of a reversal.
- **Bullish divergence**: price makes a new low, but RSI makes a higher low. Selling pressure is fading even though price is still falling.
Divergence doesn't time an entry by itself; traders typically wait for a confirming candle, trendline break, or a second indicator before acting on it.
### Best Use Cases
- **Trending markets**: helps identify likely continuation of the current trend
- **Range-bound markets**: signals potential entries/exits at overbought and oversold extremes
- **Commodities and forex**: the volatility in these markets often produces cleaner RSI signals
## How to Automate an RSI Strategy on Signals AI (No Code)
You don't need TradingView, PineScript, or a webhook to trade RSI signals. [Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals) is AlgoTest's no-code strategy builder. Describe your RSI logic in plain English, or build it visually on the Canvas, and it handles backtesting, paper trading, and live execution with your broker.
**RSI parameters on Signals AI:**
| Parameter | Default | Description |
| --- | --- | --- |
| period | 14 | Shorter = more sensitive; longer = smoother |
| source | CLOSE | [Standard price source](https://docs.algotest.in/Signals-AI/Creating-Signals/Indicators/Indicator-Parameters#source) |
| candle_type | OHLC | OHLC or HEIKIN_ASHI |
**Example strategy: RSI crossover (NIFTY, 5m)**
| | Condition |
| ----- | -------------------------------------------------------- |
| Entry | RSI(14) crosses above 30 (bearish momentum fading) |
| Exit | RSI(14) crosses above 70 (market likely due a pullback) |
**To build this:**
1. Open **Signals AI** and tell the [AI Agent](https://docs.algotest.in/Signals-AI/Creating-Signals/Using-the-AI-Agent) something like: *"Create an RSI strategy on NIFTY 5-minute spot where entry is RSI(14) crossing above 30 and exit is RSI(14) crossing above 70."* Or add an RSI **Comparison Node** manually on the [Canvas](https://docs.algotest.in/Signals-AI/Creating-Signals/Building-on-the-Canvas).
2. [Preview the signal on the chart](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Chart-Preview) to confirm entries/exits line up with real RSI crossovers.
3. Connect a trade and [backtest](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Backtesting) it on historical data.
4. [Forward test](https://docs.algotest.in/Signals-AI/Going-Live/Forward-Test) it with paper money, then go live once you're satisfied.
→ Full click-by-click walkthrough: [Quickstart: Your First Signal in 10 Minutes](https://docs.algotest.in/Signals-AI/quickstart)
## RSI PineScript for TradingView
Prefer TradingView? Here's a ready-to-use RSI strategy template. Paste it into the Pine Editor, adjust the RSI Length, Overbought/Oversold levels, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("RSI Strategy", overlay=true)
// Input parameters
rsi_length = input.int(14, title="RSI Length")
overbought_level = input.int(70, title="Overbought Level")
oversold_level = input.int(30, title="Oversold Level")
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
// Calculate RSI
rsi = ta.rsi(close, rsi_length)
// Strategy logic
long_condition = ta.crossover(rsi, oversold_level)
short_condition = ta.crossunder(rsi, overbought_level)
// Plot RSI
plot(rsi, color=color.blue, title="RSI")
// Strategy entry
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = strategy.position_avg_price + target_points
long_stop_loss = strategy.position_avg_price - stop_loss_points
short_target = strategy.position_avg_price - target_points
short_stop_loss = strategy.position_avg_price + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it on TradingView, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate execution, or skip the PineScript and webhook setup entirely by rebuilding the same logic directly in Signals AI above.
## FAQ
### What is a good RSI indicator?
A good RSI indicator typically has a value set at 14 periods and is used to identify overbought or oversold conditions in the market. Values above 70 indicate overbought conditions, suggesting a potential sell, while values below 30 indicate oversold conditions, suggesting a potential buy.
### What does RSI 14 mean, and what do various numbers like RSI 6, 12, 24, 30/70, 60/40, 70/30 signify?
RSI 14 means the Relative Strength Index is calculated using the past 14 periods. Other numbers such as RSI 6, 12, or 24 indicate the indicator is calculated over those specific periods, offering more sensitivity or smoothness. Thresholds like 30/70, 60/40, and 70/30 are levels that indicate potential buy or sell signals; for example, below 30 is considered oversold, and above 70 is considered overbought.
### What is RSI indicator and how does it work?
The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It works by comparing the magnitude of recent gains to recent losses to evaluate overbought or oversold conditions in the price of a stock or other asset.
### How is the RSI indicator calculated?
The RSI indicator is calculated using this formula: RSI = 100 - (100 / (1 + RS)), where RS is the average gain of up periods divided by the average loss of down periods over the specified period.
### What are the best settings for the RSI indicator?
The best settings for the RSI indicator typically depend on the trader's specific strategy and the market conditions, but the standard setting is 14 periods. This can be adjusted based on the volatility of the trading instrument to make the indicator more or less sensitive.
### How do you set up an RSI indicator?
To set up an RSI indicator, you can add it to your trading chart software, select the period setting (commonly 14), and define the overbought and oversold levels (typically 70 and 30, respectively). On Signals AI, you add it as a node on the Canvas with the same parameters, no separate chart software required.
### How to use the RSI indicator effectively?
To use the RSI indicator effectively, monitor for levels that indicate overbought or oversold conditions. Consider using RSI in conjunction with other technical indicators or chart patterns to confirm trading signals.
### What are the buy and sell signals for RSI?
Buy signals are typically given when the RSI crosses above an oversold threshold (e.g., 30), indicating potential upward momentum. Sell signals are given when the RSI crosses below an overbought threshold (e.g., 70), indicating potential downward momentum.
### What is the best strategy for RSI trading?
The best strategy often involves looking for divergences where the price makes a new high or low that is not supported by the RSI, suggesting a potential reversal. Combining RSI readings with support/resistance levels, trend lines, and candlestick patterns can also enhance its effectiveness.
### How do you use RSI to buy and sell?
Use RSI to buy when the indicator moves out of the oversold region (below 30) signaling a potential upward move. Sell when RSI moves out of the overbought region (above 70), signaling a potential downward move.
### Which is better: RSI or stochastic RSI?
The choice between RSI and stochastic RSI depends on the trader's preference and the specific market conditions. Stochastic RSI is generally faster and more sensitive than traditional RSI.
### Is RSI or MACD better for divergence?
Both indicators are useful for spotting divergence, but MACD might be preferred for its ability to also track the momentum and trend direction, providing a more holistic view.
### Which indicator works best with RSI?
RSI works well with MACD, stochastic oscillators, and moving averages to confirm trend directions and potential reversal points.
### Is RSI a good indicator for gold trading?
Yes, RSI can be effective for trading gold as it helps to identify potential reversal points in volatile markets like commodities.
### How do you read a stochastic RSI?
Stochastic RSI oscillates between 0 and 1; readings above 0.8 suggest overbought conditions, while readings below 0.2 suggest oversold conditions.
### What is the 70 30 RSI strategy?
This strategy involves buying when the RSI crosses above 30 from below (indicating emerging bullish momentum) and selling when the RSI crosses below 70 from above (indicating potential bearish momentum).
### What is the formula code for RSI?
The formula for RSI is RSI = 100 - (100 / (1 + (Average Gain / Average Loss))).
### What are the 2 lines in stochastic RSI?
In stochastic RSI, the two lines are the %K (the stochastic RSI itself) and %D (a moving average of %K), which help indicate momentum and potential reversal points.
### Which timeframe is best for stochastic RSI?
The best timeframe for stochastic RSI depends on the trader's style; shorter timeframes are generally better for day trading, while longer ones may be suited for swing trading.
### How accurate is the RSI indicator?
While RSI is a popular and widely used indicator, its accuracy can depend on market conditions and how it's used in conjunction with other indicators and analysis methods.
### Is RSI indicator free and where can I see my RSI indicator?
Yes, the RSI indicator is typically available for free in most trading platforms and can be found in the indicator or analysis section within these platforms. On AlgoTest, RSI is available for free inside [Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals), no separate charting subscription needed.
For more insights and detailed analysis tools, visit [AlgoTest Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/stochastic_oscillator_strategy
# Stochastic Indicator
The **Stochastic Oscillator** compares the current closing price to its recent high-low range on a 0–100 scale. The core idea: momentum shifts before price does.
## What is the Stochastic Indicator?
Developed in the late 1950s by Dr. George Lane, the Stochastic Oscillator shows the position of the closing price relative to the high-low range over a set number of periods. It has two lines:
- **%K**: the main line
- **%D**: a moving average of %K (the signal line)
### How to Read Stochastic
- **Above 80**: overbought
- **Below 20**: oversold
- **%K crosses above %D**: potential bullish signal, strongest when both lines are below 20
- **%K crosses below %D**: potential bearish signal, strongest when both lines are above 80
- **Divergence**: price and stochastic disagreeing can flag a potential reversal
### Best Use Cases
- **Trend Reversals**: best used in non-trending, range-bound markets with frequent boundaries.
- **Overbought/Oversold Conditions**: traders look for sell setups above 80 and buy setups below 20.
- **Divergence Detection**: spotting when price and the oscillator move in opposite directions.
## How to Automate a Stochastic Strategy on Signals AI (No Code)
You don't need TradingView, PineScript, or a webhook to trade Stochastic signals. [Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals) is AlgoTest's no-code strategy builder. Describe your Stochastic logic in plain English, or build it visually on the Canvas, and it handles backtesting, paper trading, and live execution with your broker.
**Stochastic parameters on Signals AI:**
| Parameter | Default | Description |
| --- | --- | --- |
| k_period | 14 | Lookback for %K |
| d_period | 3 | Smoothing for %D |
| stochastic_line | N/A | Which line the condition uses: %K or %D |
**Example strategy: %K/%D crossover**
| | Condition |
| ----- | ------------------------------------------------------------ |
| Entry | %K crosses above %D (strongest when both are below 20) |
| Exit | %K crosses below %D (strongest when both are above 80) |
**To build this:**
1. Open **Signals AI** and tell the [AI Agent](https://docs.algotest.in/Signals-AI/Creating-Signals/Using-the-AI-Agent) something like: *"Create a Stochastic strategy on NIFTY 5-minute spot where entry is %K crossing above %D and exit is %K crossing below %D."* Or build it manually on the [Canvas](https://docs.algotest.in/Signals-AI/Creating-Signals/Building-on-the-Canvas).
2. [Preview the signal on the chart](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Chart-Preview) to confirm entries line up with real %K/%D crossovers.
3. Connect a trade and [backtest](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Backtesting) it on historical data.
4. [Forward test](https://docs.algotest.in/Signals-AI/Going-Live/Forward-Test) it with paper money, then go live once you're satisfied.
→ Full click-by-click walkthrough: [Quickstart: Your First Signal in 10 Minutes](https://docs.algotest.in/Signals-AI/quickstart)
## Stochastic PineScript for TradingView
Prefer TradingView? Here's a ready-to-use Stochastic Oscillator strategy template. Paste it into the Pine Editor, adjust the K/D periods, overbought/oversold levels, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("Stochastic Oscillator Strategy", overlay=true)
// Input parameters
k_period = input.int(14, title="K Period")
d_period = input.int(3, title="D Period")
overbought_level = input.int(80, title="Overbought Level")
oversold_level = input.int(20, title="Oversold Level")
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
// Calculate Stochastic Oscillator
k = ta.stoch(close, high, low, k_period)
d = ta.sma(k, d_period)
// Strategy logic
long_condition = ta.crossover(k, d) and k < oversold_level
short_condition = ta.crossunder(k, d) and k > overbought_level
// Plot Stochastic Oscillator
plot(k, color=color.blue, title="K")
plot(d, color=color.red, title="D")
// Strategy entry and exit
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = strategy.position_avg_price + target_points
long_stop_loss = strategy.position_avg_price - stop_loss_points
short_target = strategy.position_avg_price - target_points
short_stop_loss = strategy.position_avg_price + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it on TradingView, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate execution, or skip the PineScript and webhook setup entirely by rebuilding the same logic directly in Signals AI above.
## FAQ
### What is a Stochastic Oscillator used for?
It's used to generate overbought and oversold trading signals, utilizing a 0-100 bounded range of values.
### Is RSI or Stochastic better?
Both indicators have their merits; stochastic is faster and might be more suitable for frequent trading, while RSI is more about sustained momentum.
### What does Stochastic 14-3-3 mean?
This setting uses a 14-period %K line, a 3-period %D line, and a 3-period slowing.
### What are K and D in Stochastic?
%K is the main line indicating the current market rate for the currency pair. %D is the simple moving average of %K.
### Is Stochastic Oscillator a good indicator?
Yes, particularly in identifying potential reversal points by comparing the closing price of a security to its price range.
To automate Stochastic strategies without writing code, visit [AlgoTest Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/supertrend_strategy
# Supertrend Indicator
**Supertrend** is a trend-following indicator built on ATR (volatility). It plots a single line that flips sides when the trend changes, making it one of the most visually simple trend tools available.
## What is the Supertrend Indicator?
Supertrend was developed primarily for intraday traders and combines ATR (Average True Range) with median price data to generate buy and sell signals. It's represented as a line that follows price, changing color based on trend direction:
- **Below price (typically green)** = uptrend
- **Above price (typically red)** = downtrend
### How to Read Supertrend
- **Buy Signal**: the Supertrend line flips from above price to below price (red to green)
- **Sell Signal**: the Supertrend line flips from below price to above price (green to red)
- The **Period** and **Multiplier** settings control sensitivity: higher multiplier = fewer, more reliable signals; lower = more, noisier signals
:::note
Supertrend shines in trending markets but produces false flips in sideways markets. Pair it with a trend strength filter like ADX for confirmation.
:::
### Best Use Cases
- **Trending Markets**: Supertrend excels when a market is clearly trending in one direction.
- **Stop-Loss Levels**: the line itself provides a clear, volatility-adjusted trailing stop.
- **Combining with Other Indicators**: pairing with RSI, MACD, or ADX helps confirm trend strength and reduce false flips.
## How to Automate a Supertrend Strategy on Signals AI (No Code)
You don't need TradingView, PineScript, or a webhook to trade Supertrend signals. [Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals) is AlgoTest's no-code strategy builder. Describe your Supertrend logic in plain English, or build it visually on the Canvas, and it handles backtesting, paper trading, and live execution with your broker.
**Supertrend parameters on Signals AI:**
| Parameter | Default | Description |
| --- | --- | --- |
| Period | 10 | ATR lookback period |
| Multiplier | 3 | Distance of the line from price. Higher = fewer, more reliable signals; lower = more, noisier signals |
**Example strategy: Supertrend flip (NIFTY spot, 5m)**
| | Condition |
| ----- | ------------------------------------------ |
| Entry | Close crosses above Supertrend(10, 3) |
| Exit | Close crosses below Supertrend(10, 3) |
**To build this:**
1. Open **Signals AI** and tell the [AI Agent](https://docs.algotest.in/Signals-AI/Creating-Signals/Using-the-AI-Agent) something like: *"Create a Supertrend strategy on NIFTY 5-minute spot with period 10 and multiplier 3, where entry is Close crossing above Supertrend and exit is Close crossing below Supertrend."* Or add a Supertrend **Comparison Node** manually on the [Canvas](https://docs.algotest.in/Signals-AI/Creating-Signals/Building-on-the-Canvas).
2. [Preview the signal on the chart](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Chart-Preview) to check how often the line flips in your chosen instrument and timeframe.
3. Connect a trade and [backtest](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Backtesting) it on historical data.
4. [Forward test](https://docs.algotest.in/Signals-AI/Going-Live/Forward-Test) it with paper money, then go live once you're satisfied.
→ Full click-by-click walkthrough: [Quickstart: Your First Signal in 10 Minutes](https://docs.algotest.in/Signals-AI/quickstart)
## Supertrend PineScript for TradingView
Prefer TradingView? Here's a ready-to-use Supertrend strategy template. Paste it into the Pine Editor, adjust the ATR Length, multiplier, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("Supertrend Strategy", overlay=true)
// Input parameters
atr_length = input.int(10, title="ATR Length")
multiplier = input.float(3.0, title="Multiplier")
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
// Calculate ATR and Supertrend
atr = ta.atr(atr_length)
upper_band = hlc3 + (multiplier * atr)
lower_band = hlc3 - (multiplier * atr)
is_uptrend = close > lower_band
is_downtrend = close < upper_band
trend_changed = (is_uptrend[1] and is_downtrend) or (is_downtrend[1] and is_uptrend)
// Strategy logic
long_condition = is_uptrend and trend_changed
short_condition = is_downtrend and trend_changed
// Plot Supertrend
plot(is_uptrend ? lower_band : na, color=color.green, title="Supertrend Up", style=plot.style_linebr)
plot(is_downtrend ? upper_band : na, color=color.red, title="Supertrend Down", style=plot.style_linebr)
// Strategy entry and exit
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = strategy.position_avg_price + target_points
long_stop_loss = strategy.position_avg_price - stop_loss_points
short_target = strategy.position_avg_price - target_points
short_stop_loss = strategy.position_avg_price + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it on TradingView, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate execution, or skip the PineScript and webhook setup entirely by rebuilding the same logic directly in Signals AI above.
## FAQ
### What is a good setting for the Supertrend indicator?
A common setting is 7 for the period and 3 for the multiplier, but these can be adjusted based on the volatility and characteristics of the asset being traded.
### What does Supertrend 7 3 mean?
This setting refers to a period of 7 and a multiplier of 3, which helps in determining the sensitivity and the responsiveness of the indicator to price changes.
### Is Supertrend a good indicator?
Yes, it is particularly effective in trending markets for identifying direction and optimal entry and exit points.
### How effective is Supertrend for intraday trading?
It is highly regarded among intraday traders for its simplicity and effectiveness in trend-based strategies.
### Can Supertrend be used for all types of assets?
Yes, it is versatile and can be used across stocks, commodities, forex, and even cryptocurrency markets.
To automate Supertrend strategies without writing code, visit [AlgoTest Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/tema_strategy
# TEMA (Triple Exponential Moving Average) Indicator
**TEMA (Triple Exponential Moving Average)** applies triple exponential smoothing to price data, aiming to cut the lag of a normal EMA while staying smooth.
## What is the TEMA Indicator?
Developed by Patrick G. Mulloy in 1994 as an enhancement to standard EMAs, TEMA combines three EMAs of the same length to produce a single, more responsive line:
`TEMA = 3×EMA1 − 3×EMA2 + EMA3`, where EMA2 is the EMA of EMA1, and EMA3 is the EMA of EMA2.
The result tracks price more closely than a single EMA, with noticeably less lag.
### How to Read TEMA
- **TEMA sloping upward**: uptrend
- **TEMA sloping downward**: downtrend
- **Price or a second moving average crossing TEMA**: commonly used as a buy/sell trigger, the same way an EMA crossover is read
- **Divergence between TEMA and price**: can hint at a slowing trend
### Best Use Cases
1. **Trend Trading**: TEMA is built for trend-following strategies where lag directly costs money.
2. **Volatility Analysis**: its responsiveness makes it useful for reading changing market conditions.
3. **Confirmation Tool**: many traders use TEMA alongside chart patterns (triangles, wedges) or support/resistance levels rather than standalone.
## TEMA PineScript for TradingView
Here's a ready-to-use TEMA strategy template. Paste it into the Pine Editor, adjust the TEMA length, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("TEMA Strategy", overlay=true)
// Input parameters
length = input.int(14, title="TEMA Length")
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
// Calculate TEMA
ema1 = ta.ema(close, length)
ema2 = ta.ema(ema1, length)
ema3 = ta.ema(ema2, length)
tema = 3 * ema1 - 3 * ema2 + ema3
// Strategy logic
long_condition = ta.crossover(close, tema)
short_condition = ta.crossunder(close, tema)
// Plot TEMA
plot(tema, color=color.blue, title="TEMA")
// Strategy entry
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = strategy.position_avg_price + target_points
long_stop_loss = strategy.position_avg_price - stop_loss_points
short_target = strategy.position_avg_price - target_points
short_stop_loss = strategy.position_avg_price + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate live execution without manually watching the chart.
## FAQ
### What is the TEMA indicator?
TEMA is a type of moving average that applies triple exponential smoothing to price data, giving a smoother line than a plain EMA while cutting down on lag.
### How do you read the TEMA indicator?
Traders interpret TEMA by watching its slope and crossovers with price or other moving averages to identify trends and potential trade opportunities.
### What does TEMA stand for?
TEMA stands for Triple Exponential Moving Average, a technical indicator used to analyze price trends and generate buy or sell signals.
### What is the TEMA/DEMA strategy?
The TEMA/DEMA strategy combines the Triple Exponential Moving Average (TEMA) with the Double Exponential Moving Average (DEMA) to identify trend reversals and generate trading signals.
For more insights and detailed analysis tools, visit [AlgoTest Signals](https://algotest.in/feature/signals?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/volume_vwap_ema_combined_strategy
# VWAP EMA Combined Strategy
Combining **VWAP** (the day's volume-weighted fair value) with an **EMA** (a fast-reacting trend line) is a popular way to confirm that a move is backed by real volume, not just noise.
## What is the VWAP EMA Combined Strategy?
VWAP has long been used by institutional traders as an intraday benchmark, while EMA is prized by traders for reacting quickly to fresh price action. Combining them means a signal only fires when both agree:
- **Bullish**: EMA crosses above VWAP, suggesting price is moving higher with the session's volume-weighted average confirming the move
- **Bearish**: EMA crosses below VWAP, suggesting bearish momentum with volume-backed confirmation
### Best Use Cases
- **Day Trading**: especially effective in liquid markets like Bank Nifty, where both volume and price data are robust throughout the session
- **Scalping**: shorter EMA periods on lower timeframes for quick, small moves
- **Options Trading**: timing entries/exits using a signal that's confirmed by both trend and volume-weighted price
## How to Automate a VWAP EMA Strategy on Signals AI (No Code)
You don't need TradingView, PineScript, or a webhook to combine VWAP and EMA. [Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals) is AlgoTest's no-code strategy builder. Both indicators are natively supported, and the [Comparison Node](https://docs.algotest.in/Signals-AI/Creating-Signals/Building-on-the-Canvas#1-comparison-node) lets you cross one against the other directly.
**Example strategy: EMA/VWAP crossover (intraday)**
| | Condition |
| ----- | ----------------------------------- |
| Entry | EMA(21) crosses above VWAP |
| Exit | EMA(21) crosses below VWAP |
**To build this:**
1. Open **Signals AI** and tell the [AI Agent](https://docs.algotest.in/Signals-AI/Creating-Signals/Using-the-AI-Agent) something like: *"Create a strategy on NIFTY 5-minute futures where entry is EMA(21) crossing above VWAP and exit is EMA(21) crossing below VWAP."* Or add a **Comparison Node** manually on the [Canvas](https://docs.algotest.in/Signals-AI/Creating-Signals/Building-on-the-Canvas) with EMA(21) on one side, VWAP on the other, and the **Crosses Above** / **Crosses Below** operator. Use a Futures, Options, or Combined Premium chart, since VWAP needs volume data that isn't available on index Spot charts.
2. [Preview the signal on the chart](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Chart-Preview) to confirm entries line up with real EMA/VWAP crossovers.
3. Connect a trade and [backtest](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Backtesting) it on historical data.
4. [Forward test](https://docs.algotest.in/Signals-AI/Going-Live/Forward-Test) it with paper money, then go live once you're satisfied.
→ Full click-by-click walkthrough: [Quickstart: Your First Signal in 10 Minutes](https://docs.algotest.in/Signals-AI/quickstart)
## VWAP EMA Volume PineScript for TradingView
Prefer TradingView? Here's a ready-to-use combined strategy template that adds a raw volume filter (volume increasing candle-over-candle) on top of the EMA/VWAP logic, a level of custom scripting logic PineScript allows for. Paste it into the Pine Editor, adjust the EMA length, session times, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("EMA, VWAP, Volume Strategy", overlay=true, process_orders_on_close=true)
// Inputs
emaLength = input.int(21, title="EMA Length")
vwapSource = input.source(defval=hlc3, title='VWAP Source')
stopLossPoints = input.float(100, title="Stop Loss (points)")
targetPoints = input.float(200, title="Target (points)")
session = input.session("0950-1430", title='Only take entry during')
exit = input.session(defval='1515-1525', title='Exit Trade')
tradein = not na(time(timeframe.period, session))
exit_time = not na(time(timeframe.period, exit))
// Calculate indicators
ema = ta.ema(close, emaLength)
vwapValue = ta.vwap(vwapSource)
// Entry Conditions
longCondition = close > vwapValue and close > ema and volume > volume[1] and close > open and tradein
shortCondition = close < vwapValue and close < ema and volume > volume[1] and open > close and tradein
// Exit Conditions
longExitCondition = ta.crossunder(close, vwapValue) or ta.crossunder(close, ema) or close - strategy.position_avg_price >= targetPoints or close - strategy.position_avg_price <= -stopLossPoints or exit_time
shortExitCondition = ta.crossover(close, vwapValue) or ta.crossover(close, ema) or strategy.position_avg_price - close >= targetPoints or strategy.position_avg_price - close <= -stopLossPoints or exit_time
// Plotting
plot(vwapValue, color=color.blue, title="VWAP")
plot(ema, color=color.green, title="EMA")
// Strategy
if longCondition
strategy.entry("Long", strategy.long)
if shortCondition
strategy.entry("Short", strategy.short)
if longExitCondition
strategy.close('Long', immediately=true)
if shortExitCondition
strategy.close("Short", immediately=true)
```
Once you've backtested it on TradingView, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate execution, or use the simplified EMA/VWAP crossover version directly in Signals AI above, no PineScript or webhook required.
## FAQ
### Which is the best EMA crossover strategy?
The best strategy depends on the trader's style and market conditions; however, the 9/21 EMA crossover is popular for its effectiveness in identifying short-term trends.
### Which is better, VWAP or EMA?
Neither is strictly better; the choice depends on what aspect of the market you're focusing on. VWAP is excellent for understanding price in relation to volume, while EMA can help spot trend directions more quickly. Combining both is a way to get confirmation from each.
### What is the best indicator to combine with VWAP?
The Relative Strength Index (RSI) or Moving Average Convergence Divergence (MACD) can complement VWAP well by confirming momentum or divergence, enhancing trading signals.
### What is the 9/21 EMA crossover strategy?
This involves using two EMAs: a fast (9-period) and a slow (21-period). A buy signal is generated when the 9-period EMA crosses above the 21-period EMA, and a sell signal when it crosses below.
For more detailed strategies and settings, visit [AlgoTest Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/vwap_strategy
# VWAP Indicator
**VWAP (Volume Weighted Average Price)** is the day's average price weighted by volume. Institutional traders use it as a fair value benchmark for the session, one of the most trusted intraday indicators.
## What is the VWAP Indicator?
VWAP has been a staple among institutional traders for gauging market direction, and its use has expanded widely among retail traders. It **resets each trading day** and reflects both price and volume, unlike a simple moving average which only looks at price.
**VWAP formula:** `VWAP = Σ(Price × Volume) / ΣVolume`
### How to Read VWAP
- **Price above VWAP**: considered bullish for the session; buyers are paying above the volume-weighted average
- **Price below VWAP**: considered bearish for the session
- **Price crossing above VWAP**: often used as a long entry signal
- **Price crossing below VWAP**: often used as a short entry signal
VWAP is intraday only; it has no meaningful multi-day setting since it's recalculated fresh each session.
### Best Use Cases
- **Day Trading**: VWAP is built for intraday use and is especially effective in liquid markets like Bank Nifty.
- **Institutional Benchmarking**: funds use VWAP to check if their own execution was better or worse than the market average.
- **Combining with Other Indicators**: RSI or MACD alongside VWAP can confirm momentum before acting on a crossover.
:::warning
VWAP doesn't work on Spot charts for indices, since no volume data is available on index spot charts.
:::
## How to Automate a VWAP Strategy on Signals AI (No Code)
You don't need TradingView, PineScript, or a webhook to trade VWAP signals. [Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals) is AlgoTest's no-code strategy builder. Describe your VWAP logic in plain English, or build it visually on the Canvas, and it handles backtesting, paper trading, and live execution with your broker.
**VWAP parameters on Signals AI:** Source (the standard formula uses HLC3; other sources selectable). Optional standard deviation bands can be added around the line.
**Example strategy: VWAP crossover (intraday)**
| | Condition |
| ----- | --------------------------- |
| Entry | Close crosses above VWAP |
| Exit | Close crosses below VWAP |
**To build this:**
1. Open **Signals AI** and tell the [AI Agent](https://docs.algotest.in/Signals-AI/Creating-Signals/Using-the-AI-Agent) something like: *"Create a VWAP strategy on NIFTY 5-minute futures where entry is Close crossing above VWAP and exit is Close crossing below VWAP."* Or add a VWAP **Comparison Node** manually on the [Canvas](https://docs.algotest.in/Signals-AI/Creating-Signals/Building-on-the-Canvas). Since VWAP needs volume, choose a Futures, Options, or Combined Premium chart rather than index Spot.
2. [Preview the signal on the chart](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Chart-Preview) to confirm entries line up with real VWAP crossovers.
3. Connect a trade and [backtest](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Backtesting) it on historical data.
4. [Forward test](https://docs.algotest.in/Signals-AI/Going-Live/Forward-Test) it with paper money, then go live once you're satisfied.
→ Full click-by-click walkthrough: [Quickstart: Your First Signal in 10 Minutes](https://docs.algotest.in/Signals-AI/quickstart)
## VWAP PineScript for TradingView
Prefer TradingView? Here's a ready-to-use VWAP strategy template. Paste it into the Pine Editor, adjust the length, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("VWAP Strategy", overlay=true)
// Input parameters
length = input.int(14, title="VWAP Length")
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
// Calculate VWAP
vwap = ta.vwap(volume, length)
// Strategy logic
long_condition = ta.crossover(close, vwap)
short_condition = ta.crossunder(close, vwap)
// Plot VWAP
plot(vwap, color=color.blue, title="VWAP")
// Strategy entry and exit
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = strategy.position_avg_price + target_points
long_stop_loss = strategy.position_avg_price - stop_loss_points
short_target = strategy.position_avg_price - target_points
short_stop_loss = strategy.position_avg_price + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it on TradingView, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate execution, or skip the PineScript and webhook setup entirely by rebuilding the same logic directly in Signals AI above.
## FAQ
### Understanding VWAP
#### What does the VWAP tell you?
VWAP provides the average price a stock has traded at throughout the day, based on both volume and price. It is often used as a trading benchmark to determine if a stock is trading at a higher or lower price than usual.
#### Is VWAP a good indicator?
Yes, VWAP is highly regarded among traders for its ability to reflect the true market sentiment by combining price levels with volume, making it a reliable support and resistance indicator.
#### Is VWAP bullish or bearish?
VWAP itself is neither bullish nor bearish; it represents an average price. However, prices above the VWAP are typically considered bullish, while prices below the VWAP are seen as bearish.
#### How is VWAP used in trading?
Traders use VWAP to assess market direction and filter trades. Buying below the VWAP can be seen as buying at a good value, while selling above it can indicate selling at a premium.
#### How is VWAP value calculated?
VWAP is calculated by adding up the dollars traded for every transaction (price times shares traded) and then dividing by the total shares traded.
### VWAP Strategy and Performance
#### What is VWAP strategy?
A VWAP strategy involves using the VWAP as a trading benchmark to determine entry and exit points for trades, often using it as a target or a stop loss level.
#### Does VWAP really work?
Yes, VWAP is effective for many traders, especially day traders and those involved in algorithmic trading, as it helps in understanding and acting on real-time price and volume dynamics.
#### What is the success rate of VWAP?
The success rate can vary widely among traders and depends on additional factors such as market conditions and complementary strategies. It is not a standalone indicator.
#### How accurate is the VWAP indicator?
VWAP is quite accurate in markets with high volume, as it reflects the true average price weighted by volume, making it reliable during the most active trading periods.
#### Is trading above VWAP good?
Trading above VWAP can be good if you are looking to sell, as it indicates that the price is above the average day's price weighted by volume.
#### Is VWAP profitable?
VWAP can be profitable when used correctly, especially in combination with other indicators to confirm trends and provide trade signals.
#### Is VWMA a good indicator?
The Volume Weighted Moving Average (VWMA) is a good indicator for highlighting the relationship between price and volume and can be particularly useful in determining the strength of a trend.
### VWAP Calculation and Settings
#### How to calculate VWAP formula?
The VWAP formula is: VWAP = Σ(Price × Volume) / ΣVolume.
#### What is the VWAP ratio?
The VWAP ratio is not a standard metric; it might refer to the comparison of current price to the VWAP value to determine market position.
#### What is the 5-day VWAP?
The 5-day VWAP extends the standard VWAP calculation across five trading sessions, providing a broader view of the market's average price.
#### What is the default setting for VWAP?
The default setting for VWAP is typically the current trading day from the market open to the current time or close.
#### What is the best VWAP length for day trading?
For day trading, VWAP is usually calculated for just the current trading day as it provides the most relevant and immediate trading data.
#### What are the parameters for VWAP?
VWAP typically does not have adjustable parameters, as it is solely based on price and volume data for the trading day.
### VWAP in Different Trading Scenarios
#### Is VWAP good for swing trading?
VWAP can be used in swing trading to determine entry and exit points, but it is most effective in high-volume environments typically seen in day trading.
#### What is the best VWAP setting for intraday?
The standard single-day VWAP is most appropriate for intraday trading, providing real-time insights into price and volume.
#### How do you use VWAP in intraday trading?
In intraday trading, VWAP can be used to identify when a stock is overbought or oversold within the day, helping to make buying or selling decisions.
#### How do I use VWAP in options?
In options trading, VWAP can help set strike prices or determine the timing of entry and exit, based on the underlying asset's average price.
#### Is VWAP a daily indicator?
Yes, VWAP is typically recalculated daily, making it most relevant for use within a single trading session.
#### How do you use VWAP in TradingView?
On TradingView, VWAP can be added to any chart from the indicator menu, and it will automatically calculate and plot based on the trading session's data.
### Comparison and Combination with Other Indicators
#### Is VWAP better than EMA?
Neither is universally better; VWAP is preferred for its incorporation of volume, while EMA provides quicker responsiveness to price changes.
#### Which indicator works best with VWAP?
Many traders use RSI or MACD in conjunction with VWAP to confirm the strength of the signals provided by the volume and price levels.
#### What is the best combination with VWAP indicator?
A common effective combination is VWAP with a momentum indicator like the MACD or a trend indicator like the EMA to provide additional trade signals.
#### What is the difference between VWAP and simple moving average?
VWAP includes volume in its calculation, providing a weighted average, whereas a simple moving average (SMA) only considers price over a set period.
#### Which indicator is similar to VWAP?
The Volume Weighted Moving Average (VWMA) is similar but uses a simpler moving average approach that incorporates volume.
### Anchored VWAP
#### What is the anchored VWAP?
Anchored VWAP allows traders to select a specific starting point for calculating VWAP, providing customized insights based on a chosen timeframe or significant event.
#### What is the formula for anchored VWAP?
The formula for anchored VWAP is the same as standard VWAP, but the calculation starts from a user-defined point rather than the beginning of the trading day.
#### How do you read an anchor VWAP?
Read anchored VWAP like standard VWAP but consider the anchor point's significance (like a recent high, low, or news event) to interpret its impact on current trading levels.
To automate VWAP strategies without writing code, visit [AlgoTest Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/TradingView/pinescripts/williams_modr_strategy
# Williams %R Indicator
**Williams %R** is a momentum oscillator that measures the level of the close relative to the highest high over a look-back period, on an inverted scale from 0 to -100.
## What is the Williams %R Indicator?
Developed by Larry Williams in the late 1970s, Williams %R is designed to identify overbought and oversold levels, conceptually similar to the Stochastic Oscillator, but with a unique negative scale.
### How to Read Williams %R
- **-20 to 0**: overbought: price is near the top of its recent range
- **-80 to -100**: oversold: price is near the bottom of its recent range
- **Move above -20 from below**: a potential decline signal
- **Move above -80 from below**: a potential rally signal, as price leaves oversold territory
### Best Use Cases
- **Stock Trading**: particularly effective in markets with clear trends, helping identify reversals early.
- **Forex Trading**: captures short-term fluctuations well in liquid markets.
- **Commodity Trading**: useful for entries/exits in markets prone to rapid price changes.
- **Combining with Other Indicators**: pairing with MACD or RSI helps filter out false signals.
## How to Automate a Williams %R Strategy on Signals AI (No Code)
You don't need TradingView, PineScript, or a webhook to trade Williams %R signals. [Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals) is AlgoTest's no-code strategy builder. Describe your Williams %R logic in plain English, or build it visually on the Canvas, and it handles backtesting, paper trading, and live execution with your broker.
**Williams %R parameters on Signals AI:**
| Parameter | Default | Description |
| --- | --- | --- |
| period | 14 | Shorter (e.g., 7) = more signals; longer (e.g., 21) = fewer, more reliable |
| candle_type | OHLC | OHLC or HEIKIN_ASHI |
**Example strategy: mean reversion**
| | Condition |
| ----- | --------------------------------------------------------------------- |
| Entry | Williams %R(14) crosses above -80 (leaving oversold territory) |
| Exit | Williams %R(14) crosses below -20 (leaving overbought territory) |
**To build this:**
1. Open **Signals AI** and tell the [AI Agent](https://docs.algotest.in/Signals-AI/Creating-Signals/Using-the-AI-Agent) something like: *"Create a Williams %R strategy on NIFTY 5-minute spot where entry is Williams %R crossing above -80 and exit is Williams %R crossing below -20."* Or add a Williams %R **Comparison Node** manually on the [Canvas](https://docs.algotest.in/Signals-AI/Creating-Signals/Building-on-the-Canvas).
2. [Preview the signal on the chart](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Chart-Preview) to confirm entries line up with real overbought/oversold turns.
3. Connect a trade and [backtest](https://docs.algotest.in/Signals-AI/Validating-Your-Strategy/Backtesting) it on historical data.
4. [Forward test](https://docs.algotest.in/Signals-AI/Going-Live/Forward-Test) it with paper money, then go live once you're satisfied.
→ Full click-by-click walkthrough: [Quickstart: Your First Signal in 10 Minutes](https://docs.algotest.in/Signals-AI/quickstart)
## Williams %R PineScript for TradingView
Prefer TradingView? Here's a ready-to-use Williams %R strategy template. Paste it into the Pine Editor, adjust the length, overbought/oversold levels, target, and stop loss to your preference, and backtest it.
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
:::warning
This strategy is for demonstration purposes only and is not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of this sample strategy.
:::
```ts showLineNumbers
//@version=5
strategy("Williams %R Strategy", overlay=true)
// Input parameters
length = input.int(14, title="Williams %R Length")
overbought_level = input.int(-20, title="Overbought Level")
oversold_level = input.int(-80, title="Oversold Level")
target_points = input.int(100, title="Target Points")
stop_loss_points = input.int(50, title="Stop Loss Points")
// Calculate Williams %R
hh = ta.highest(high, length)
ll = ta.lowest(low, length)
williams_r = (hh - close) / (hh - ll) * -100
// Strategy logic
long_condition = williams_r < oversold_level
short_condition = williams_r > overbought_level
// Plot Williams %R
plot(williams_r, color=color.blue, title="Williams %R")
// Strategy entry
if long_condition
strategy.entry("Long", strategy.long)
if short_condition
strategy.entry("Short", strategy.short)
// Calculate target and stop loss levels
long_target = strategy.position_avg_price + target_points
long_stop_loss = strategy.position_avg_price - stop_loss_points
short_target = strategy.position_avg_price - target_points
short_stop_loss = strategy.position_avg_price + stop_loss_points
// Strategy exit
strategy.exit("Long Exit", "Long", limit=long_target, stop=long_stop_loss)
strategy.exit("Short Exit", "Short", limit=short_target, stop=short_stop_loss)
```
Once you've backtested it on TradingView, you can [connect the alert to AlgoTest](https://docs.algotest.in/signals/trade-signals) to automate execution, or skip the PineScript and webhook setup entirely by rebuilding the same logic directly in Signals AI above.
## FAQ
### Is Williams %R leading or lagging?
Williams %R is considered a lagging indicator as it uses past price data to generate signals.
### What is the difference between RSI and Williams %R?
Both are momentum indicators, but while RSI scales from 0 to 100, Williams %R scales inversely from 0 to -100. RSI compares upward movements to downward movements, while Williams %R compares the current close to the highest high of the past.
### What is the best setting for the Williams %R indicator?
The typical setting is 14 periods, which can be adjusted based on the trader's analysis timeframe and the asset's volatility.
### What is the formula for Williams %R?
The formula for Williams %R is `%R = (Highest High − Close) / (Highest High − Lowest Low) × -100`.
To automate Williams %R strategies without writing code, visit [AlgoTest Signals AI](https://algotest.in/feature/signals/indicators?utm_source=documentation&utm_medium=internal&utm_campaign=seo&utm_content=feature&utm_term=signals).
---
// File: signals/famous-strategies/5-ema
import Iframe from "../../../src/components/Iframe";
# 5 EMA Scalping Strategy by Power of Stocks
:::warning
These strategies are for demonstration purposes only and are not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of these sample strategies.
:::
## FREE 5 EMA Pinescript
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
```ts showLineNumbers
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © AlgoTest
//@version=5
indicator(title='5Ema Indicator', overlay=true)
RiRe = input.int(defval=3,title='Risk to Reward Ratio',minval=2,maxval=25)
ema_length = input.int(5, title='EMA Length')
ema = ta.ema(close,ema_length)
plot(ema, 'EMA', color=color.blue, linewidth=2)
var bool Short = na
var int shortC = 0
var int sslhitC = 0
var int starhitC = 0
var float ssl = na
var float starl = na
var float star = na
var float sellat = na
var float alert_shorthigh = na
var float alert_shortlow = na
if dayofweek != dayofweek[1]
Short := na
shortC := 0
sslhitC := 0
starhitC := 0
ssl := na
starl := na
star := na
sellat := na
alert_shorthigh := na
alert_shortlow := na
Short := low[1] > ema[1] and low[1] > low and shortC == 0
sslhit = high > ssl and shortC > 0 and sslhitC == 0
starhit = low < star and shortC > 0 and starhitC == 0
if Short
shortC := shortC + 1
sslhitC := 0
starhitC := 0
alert_shorthigh := high[1]
ssl := high[1]
starl := (high[1] - low[1]) * RiRe
star := low[1] - starl
sellat := low[1]
if sslhit == false and starhit == false and shortC > 0
sslhitC := 0
starhitC := 0
else
if sslhit
shortC := 0
sslhitC := sslhitC + 1
else
if low < star and shortC > 0 and starhitC == 0
shortC := 0
starhitC := starhitC + 1
plotshape(Short, title='Sell', location=location.abovebar, color=color.teal, style=shape.arrowdown, text='Sell', textcolor=color.teal)
plotshape(sslhit, title='SL Hit', location=location.abovebar, color=color.red, style=shape.arrowdown, text='SL Hit', textcolor=color.red)
plotshape(starhit, title='Target Hit', location=location.belowbar, color=color.green, style=shape.arrowup, text='Target Hit', textcolor=color.green)
alertcondition(Short, "Short Signal", "Short Signal")
alertcondition(sslhit, "Stop-loss hit", "Stop-loss hit")
alertcondition(starhit, "Target hit", "Target hit")
```
This document outlines the automation of the '5 EMA scalping strategy', a technical analysis approach designed to capture short-term profits in fast-moving markets. The strategy utilises the 5-period exponential moving average (EMA) to identify potential entry and exit points for trades.
This document is intended for traders familiar with technical analysis concepts and scalping strategies. It provides a comprehensive overview of the core principles, entry and exit signals, and risk management techniques associated with the 5 EMA scalping strategy. Additionally, it explores methods for customising the strategy to individual trading styles and risk tolerance levels.
This guide, inspired by a YouTube video of a famous youtuber Subhashish Pani having youtube channel name Power of Stocks, unpacks the core principles, entry and exit signals, and risk management techniques associated with the 5 EMA scalping strategy. Remember, while this strategy offers a valuable framework, it's not a magic formula. We'll explore ways to customise it to fit your trading style and risk tolerance.
## What is the 5 EMA Scalping Strategy?
At its heart, the 5 EMA scalping strategy leverages a technical indicator called the Exponential Moving Average (EMA) to identify potential short-selling opportunities. The EMA smooths out price fluctuations, revealing the underlying trend. In this strategy, we focus on the 5-period EMA, making it highly responsive to recent price movements.
### The Power of the 5 EMA
Imagine the 5 EMA as a dynamic line on your trading chart. When the price is above the 5 EMA, it often suggests that the price has moved away from its mean point and is likely to come back to the mean at some point in time.
The 5 EMA scalping strategy is a reversal strategy based on the logic that the price has to return to its mean. Here, 5 EMA is considered as the mean point of the price. Thus, in the 5 EMA strategy, we look for reversals when the price moves away from its mean, i.e., 5 EMA. This strategy capitalises on situations where the price seems to be losing momentum in an uptrend. We will look for specific price action signals near the 5 EMA to initiate short trades, aiming to profit if the price continues its downward journey.
#### Spotting Your Entry: The Qualifying Candle
Our strategy hinges on a specific type of price action -- the qualifying candle. This isn't a fancy candlestick pattern; it's simply a candle that meets two key criteria:
1. **Price Position**: The candle must be closes above the 5 EMA. This reinforces the initial uptrend assumption.
2. **Non-Touching High/Low**: The qualifying candle's low shouldn't touch the 5 EMA. This indicates that price is above its mean point.
In the image above, you can see that the highlighted candle closed above the blue line and the candle's low is also above the blue line (EMA of length 5), making it a qualifying candle.
#### Ready, Set, Short!
Once you identify a qualifying candle, it's time to sharpen your focus. Here's the trigger for your short entry:
- Breaking the Low: If the price dips below the low of the qualifying candle, it suggests a potential breakdown in the uptrend. This is your entry signal.
In the above image you will be able to view the green arrow marked candle as our entry candle which took entry when the low of the qualifying candle is crossed.
#### Why Short Here?
The breakdown below the qualifying candle's low implies that the uptrend might be losing steam. By entering a short trade here, you're essentially betting that the price will continue its downward trajectory.
#### Exiting Gracefully: Stop-Loss and Take Profit
No trading strategy is complete without a solid risk management plan. Here's how the 5 EMA scalping strategy incorporates stop-loss and take-profit orders:
- **Stop-Loss**: To limit potential losses, place a stop-loss order above the high of the qualifying candle. This ensures you exit the trade if the price unexpectedly surges higher, invalidating your short thesis.
- **Take-Profit**: Aim for a minimum 1:3 risk-to-reward ratio. This means your take-profit target should ideally be three times the distance between your entry price and your stop-loss level. This helps ensure you capture a decent profit when your short trade goes your way.
## Automating 5 EMA Strategy on AlgoTest
TradingView includes a feature called Alerts. Suppose you want to execute an ATM Put buy trade when the 5 EMA strategy gives a sell alert.
By using the alert feature, you can set it up so that if the strategy gives a sell signal, you will receive an alert via SMS, email, or notification on your mobile device. Once the strategy condition is met, you will be alerted, and you can then execute the trade on your broker's platform.
If you prefer not to manually execute the trade on the broker's end, you can utilize [AlgoTest's ](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest)Signals to automate this indicator-based strategy. AlgoTest Signals will capture the alert and execute the trade automatically on your broker's platform based on your instructions.
You just need to create an alert on TradingView and link it with AlgoTest, and that's it. Your indicator-based algorithm is now set to automatically execute your trades for you.
## Requirements
### TradingView Essential Plan
You should have a minimum [TradingView Essential Plan](https://in.tradingview.com/pricing/#plans) activated on your TradingView account to use AlgoTest Signal.
### AlgoTest Signal Bridge Plan
You should have a [Signal Bridge Plan](https://algotest.in/#pricing) activated on your AlgoTest account.
### Broker Connect with AlgoTest
You need to connect your broker with AlgoTest to use AlgoTest Signal. To connect your broker with AlgoTest [click here. ](https://docs.algotest.in/category/broker-setup/)
### Pine Script Code
You will need a Pine Script Code that can generate buy or sell signals as per your conditions in AlgoTest. You can get this code here.
## Connecting 5 EMA with AlgoTest
To automate the strategy for 5 EMA on [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest), you first need to create alerts in TradingView. Then, these alerts can be used to connect with AlgoTest via a webhook. You will create alerts in TradingView, which will generate entry and exit alerts based on our strategy conditions. Then, in AlgoTest, you will create a "Put Buy" strategy and connect both of them via webhook. When your 5 EMA strategy gives a sell signal in TradingView, AlgoTest will capture the alert and execute the ATM Put Buy position on the broker's end. Similarly, when your strategy gives an exit alert in TradingView, AlgoTest will capture the alert and exit your entry position.
## Adding 5 EMA indicator in TradingView
First, we need to add Pine Script code in TradingView that will generate a buy or sell signal according to the 5 EMA strategy. [Click here](https://docs.algotest.in/signals/tradingview-pinescript/) to learn how you can paste the 5 EMA code in TradingView.
### Creating Alerts in TradingView
Alerts in TradingView notify you when entry or exit conditions are met. We'll set up alerts for our entry and exit conditions.
- Assume we want to automate 5 EMA strategies on the Nifty 5 minute chart. So we will open the Nifty 5 Minute chart in TradingView as shown in the image below.
- To create an alert, click on the "Add Alert" button as shown in the image below.
- We need to create an alert for three conditions : Short Entry, Short Stop Loss, and Short Target. We'll start by setting up an alert for the Short Entry condition, as illustrated in the image below.
- Similarly we will create another two alerts i.e. Short Stoploss & Short Target as shown in the image below.
- Now you will be able to view these alerts in the alert section as shown in the image below.
As we have created our 3 alerts. Now we need to connect these alerts with AlgoTest for automation. So when the 5 EMA Short condition is met, an alert will be generated in TradingView and it will be executed automatically on broker end by AlgoTest. Similarly when the Stop Loss or Target Alert is generated it should automatically exit our entry position on the broker's end.
### Connecting Alerts with AlgoTest
We can connect TradingView Alerts with AlgoTest via webhooks. Follow some simple steps as shown below.
- Launch a new browser tab. In this new tab, navigate to the [AlgoTest](https://algotest.in) website and log in.
- Once logged in, find and choose the 'Signals' feature of AlgoTest, as seen in the figure below.
Choose 'New Signal' and the 'TradingView Indicator' option.
- There are now two options available to you:
1. **'Live Deployment'**
2. **'Forward Test'**
Now, we will briefly explain the above options.
Firstly, let me explain the word 'Deployment'. 'Deploying a stratеgy' mеans to apply thе stratеgy in thе actual stock markеt.
**What does Live Dеploymеnt mеan?**
This option allows you to deploy your trading strategy in the live market. Whеn you choosе this option, AlgoTеst monitors thе strategy entry and exit conditions in real-time and as soon as an alert comes from TradingView it will execute the order in your broker terminal.
**What does the Forward Test mean?**
Forward tеsting or paper trading means trading with virtual money using LIVE markеt data. You can see your trades and PnL in AlgoTest but you will not need any broker for forward testing.
If you want to use this strategy in a live trading environment, select 'Live Deployment.' If you'd rather paper trade at first, select 'Forward Test.' Please keep in mind that the methods for linking live and forward trading are the same.
- Click 'Create Strategy'. Now we have to create a strategy in which we will add a Nifty ATM Put Buy Leg.
- Configure the leg in leg builder as shown in the image below and click on add leg.
**Important Strategy Specifications:**
- Nifty Index
- Time of Entry: 9:16 (This implies that our strategy will start responding to alerts from TradingView only after the chosen entry time, in this example, 9:16. Please remember that this timing does not correspond to the execution at 9:16.)
- Time of Exit: 3:15 (Our strategy will no longer respond to the TradingView alerts after 3:15. Any alert generated after this time will not be considered. Until 3:00, the strategy will only respond to TradingView alerts.)
Due to the presence of an exit condition, we have not included a stop-loss in the strategy. You, on the other hand, have the option to include one if you wish.
- Now you can see Leg1 is added under Strategy Legs as shown in the image below. Click on save and continue.
- Now, name the strategy. You will be asked to select your broker from the options shown in the image. Choose your preferred broker.
- It will ask for execution parameters, We'll give you recommendations for the best execution. If you don't want to get into the specifics, just use the settings shown in the image below. You can read about execution settings [here](https://docs.algotest.in/execution-settings/).
After you've finished customising these options, click 'Save Settings, and Continue.'
- You can name the entry alert '5 EMA Strategy Entry' (or any other name you like). Now, as seen in the figure below, copy the JSON Block code using the copy icon. We need to put this JSON Block in the TradingView entry alert.
- Return to the TradingView tab and click on the settings button on our entry alert as shown in the image below.
- Paste the JSON code that we copied from AlgoTest in the Message box of alert as shown in the image below\.After pasting the JSON code in the message box, we need to copy the webhook URL from AlgoTest and paste it into the webhook URL field of the same alert.
- Navigate to the AlgoTest tab and click 'I have pasted.' The webhook URL will be shown, along with a 'Copy' button. Click 'Copy,' as seen in the figure below. This webhook URL must be pasted into the 'Notification' page we accessed in the previous step.
- Then, as seen in the figure below, enter the copied Webhook URL into the 'Webhook URL' space under the 'Notification' tab and click on the Create button. If the Webhook URL is already filled in, please be sure to clear it before inserting the copied URL.
- Our TradingView Entry alert has now been successfully established. The next step is to setup exit alert. Return to the AlgoTest page, and you'll see an option for adding an exit alert (optional), as seen in the image below.
- Click 'Add Exit Alert,' as seen in the figure above.
\-Give it a distinct name and save the alert configuration.
\-Then you'll notice a JSON block message. Make a copy of this message.
\-Go back to the TradingView tab.\
We had already created two exit alerts in TradingView. One is Stop-Loss alert and other is Target alert as shown in the image below. We need to paste this Json code in message box of both of these alerts.
- Paste the JSON Code in the message box of both of these alerts as shown in the image below and save them.
- Now we need to copy webhook URL from AlgoTest and paste that in Stop-Loss and Target Alerts. To copy webhook URL from AlgoTest, go to AlgoTest tab and click on "I have pasted" and copy the webhook URL as shown in the image below.
- Paste it into the notification tab's 'Webhook URL' option of both the Alerts, just as we did when establishing the entry alert. Click on the save button.
- Finally, return to the AlgoTest page and click on 'Start Listening,' as seen in the figure below by the green marker.
- Your strategy will show up as "listening" on the SIGNAL tab of AlgoTest if all the stages have been followed successfully, as seen in the screenshot below.
- Our strategy is now active and prepared to execute the trade in case any alerts are generated in TradingView by the 5 EMA indicator according to our strategy conditions.
---
// File: signals/famous-strategies/all-in-one
import Iframe from "../../../src/components/Iframe";
# All-in-One Multi-Indicator Options Strategy
:::warning
These strategies are for demonstration purposes only and are not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of these sample strategies.
:::
## FREE All-in-One Multi-Indicator Options Strategy Pinescript
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
```ts showLineNumbers
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © AlgoTest
//@version=5
indicator("All-in-One Multi-Indicator Options Strategy",shorttitle = "All-in-One", overlay=false)
// Input for Index and Expiry Date
spot = input.string("BANKNIFTY", title = "Spot Symbol", options = ["NIFTY", "BANKNIFTY", "FINNIFTY", "MIDCPNIFTY"], group = "Index")
tooltip_day = "Enter the day of the expiry. Add 0 in front if the day is a single digit. For example: 05 instead of 5"
tooltip_month = "Enter the month of the expiry. Add 0 in front if the month is a single digit. For example: 06 instead of 6"
tooltip_year = "Enter the year of the expiry. Use the last two digits of the year. For example: 24 instead of 2024"
_day = input.string("21", title = "Expiry Day", tooltip = tooltip_day, group="Expiry Date")
_month = input.string("08", title = "Expiry Month", tooltip = tooltip_month, group="Expiry Date")
_year = input.string("24", title = "Expiry Year", tooltip = tooltip_year, group="Expiry Date")
// Input for Strikes
tooltip_ = "You can select any Strike, and choose to include both strikes or just one"
strike_ce = input.int(50800, "Call Strike", tooltip = tooltip_, group = "Select Strike")
strike_pe = input.int(50800, "Put Strike", tooltip = tooltip_, group = "Select Strike")
// Option to include both strikes
strike_choice = input.string("Combined", title = "Select Strike", options = ["Combined", "Only Call", "Only Put"], group = "Select Strike")
// Generate symbols for Call and Put options
var string symbol_CE = spot + _year + _month + _day + "C" + str.tostring(strike_ce)
var string symbol_PE = spot + _year + _month + _day + "P" + str.tostring(strike_pe)
// Request security data for both Call and Put options
[call_open, call_high, call_low, call_close] = request.security(symbol_CE, timeframe.period, [open, high, low, close])
[put_open, put_high, put_low, put_close] = request.security(symbol_PE, timeframe.period, [open, high, low, close])
call_volume = request.security( symbol_CE, timeframe.period , volume )
put_volume = request.security( symbol_PE, timeframe.period , volume )
var float combined_open = 0
var float combined_high = 0
var float combined_low = 0
var float combined_close = 0
var float combined_vol = 0
// Calculate combined premium based on strike choice
if strike_choice == "Combined"
combined_open := call_open + put_open
combined_close := call_close + put_close
combined_high := math.max(combined_open, combined_close)
combined_low := math.min(combined_open, combined_close)
combined_vol := call_volume + put_volume
else if strike_choice == "Only Call"
combined_open := call_open
combined_close := call_close
combined_high := call_high
combined_low := call_low
combined_vol := call_volume
else
combined_open := put_open
combined_close := put_close
combined_high := put_high
combined_low := put_low
combined_vol := put_volume
// Plot combined premium as a candle
plotcandle(combined_open, combined_high, combined_low, combined_close, title = "Combined Premium", color = combined_close > combined_open ? color.green : color.red)
// Indicator selection
use_ema_crossover = input.bool(true, title = "Use EMA Crossover", group = "Indicators")
use_supertrend = input.bool(false, title = "Use Supertrend", group = "Indicators")
use_vwap = input.bool(false, title = "Use VWAP", group = "Indicators")
use_rsi = input.bool(false, title = "Use RSI", group = "Indicators")
use_sma = input.bool(false, title = "Use SMA", group = "Indicators")
pine_supertrend_value(factor, atrPeriod) =>
src = combined_close
atr = ta.atr(atrPeriod)
upperBand = src + factor * atr
lowerBand = src - factor * atr
prevLowerBand = nz(lowerBand[1])
prevUpperBand = nz(upperBand[1])
lowerBand := lowerBand > prevLowerBand or combined_close[1] < prevLowerBand ? lowerBand : prevLowerBand
upperBand := upperBand < prevUpperBand or combined_close[1] > prevUpperBand ? upperBand : prevUpperBand
int _direction = na
float superTrend = na
prevSuperTrend = superTrend[1]
if na(atr[1])
_direction := 1
else if prevSuperTrend == prevUpperBand
_direction := combined_close > upperBand ? -1 : 1
else
_direction := combined_close < lowerBand ? 1 : -1
superTrend := _direction == -1 ? lowerBand : upperBand
superTrend
pine_supertrend_dir(factor, atrPeriod) =>
src = combined_close
atr = ta.atr(atrPeriod)
upperBand = src + factor * atr
lowerBand = src - factor * atr
prevLowerBand = nz(lowerBand[1])
prevUpperBand = nz(upperBand[1])
lowerBand := lowerBand > prevLowerBand or combined_close[1] < prevLowerBand ? lowerBand : prevLowerBand
upperBand := upperBand < prevUpperBand or combined_close[1] > prevUpperBand ? upperBand : prevUpperBand
int _direction = na
float superTrend = na
prevSuperTrend = superTrend[1]
if na(atr[1])
_direction := 1
else if prevSuperTrend == prevUpperBand
_direction := combined_close > upperBand ? -1 : 1
else
_direction := combined_close < lowerBand ? 1 : -1
superTrend := _direction == -1 ? lowerBand : upperBand
_direction
// Input for EMA lengths
fastLength = input.int(7, 'Fast EMA Length', group = "EMA")
slowLength = input.int(12, 'Slow EMA Length', group = "EMA")
// Input for SuperTrend
atrLength = input.int(7, 'ATR Length', group = "SuperTrend")
fac = input.float(2, 'Factor', group = "SuperTrend")
// Input for RSI
rsi_length = input.int(7, 'Length', group="RSI")
rsi_ob_level = input.int(80, 'Overbought', group="RSI")
rsi_os_level = input.int(20, 'Oversold', group="RSI")
// Input for SMA
sma_length = input.int(7, 'SMA Length', group = "SMA")
var float fast_ema = na
var float slow_ema = na
var float supertrend = na
var int direction = na
var float rsi_val = na
var float sma_val = na
var float sumPriceVolume = 0.0
var float sumVolume = 0.0
var float vwap = 0.0
// Fast EMA
if use_ema_crossover
fast_ema := ta.ema(combined_close, fastLength)
slow_ema := ta.ema(combined_close, slowLength)
// Supertrend
if use_supertrend
supertrend := pine_supertrend_value( fac, atrLength)
direction := pine_supertrend_dir( fac, atrLength)
// VWAP
if use_vwap
if (dayofweek != dayofweek[1])
sumPriceVolume := 0.0
sumVolume := 0.0
vwap := 0.0
sumPriceVolume += combined_close * combined_vol
sumVolume += combined_vol
vwap := sumPriceVolume / sumVolume
// RSI
if use_rsi
rsi_val := ta.rsi(combined_close, rsi_length)
// SMA
if use_sma
sma_val := ta.sma(combined_close, sma_length)
plot(fast_ema, title='Fast EMA', color=color.blue, linewidth=2)
plot(slow_ema, title='Slow EMA', color=color.yellow, linewidth=2)
plot(direction < 0 ? supertrend : na, "Up direction", color = color.green, style=plot.style_linebr)
plot(direction > 0 ? supertrend : na, "Down direction", color = color.red, style=plot.style_linebr)
plot(use_vwap? vwap : na, title='VWAP', color=color.purple, linewidth=2)
plot(sma_val, title='SMA', color=color.maroon, linewidth=2)
// Define buy and sell conditions based on selected indicators
var bool buy = false
var bool sell = false
var int buyC = 0
var int sellC = 0
if dayofweek != dayofweek[1]
buyC := 0
sellC := 0
if use_ema_crossover
buy := ( ta.crossover(fast_ema, slow_ema) ) and buyC == 0
sell := ( ta.crossunder(fast_ema, slow_ema) ) and sellC == 0
if use_vwap
buy := ( buy ? buy and ta.crossover(combined_close, vwap) : ta.crossover(combined_close, vwap) ) and buyC == 0
sell := ( sell ? sell and ta.crossunder(combined_close, vwap) : ta.crossunder(combined_close, vwap) ) and sellC == 0
if use_rsi
buy := ( buy ? buy and ta.crossover(rsi_val, rsi_ob_level) : ta.crossover(rsi_val, rsi_ob_level) ) and buyC == 0
sell := ( sell ? sell and ta.crossunder(rsi_val, rsi_os_level) : ta.crossunder(rsi_val, rsi_os_level) ) and sellC == 0
if use_sma
buy := ( buy ? buy and ta.crossover(combined_close, sma_val) : ta.crossover(combined_close, sma_val) ) and buyC == 0
sell := ( sell ? sell and ta.crossunder(combined_close, sma_val) : ta.crossunder(combined_close, sma_val) ) and sellC == 0
if use_supertrend
buy := ( buy ? direction == -1 : direction == -1 and direction[1] == 1 ) and buyC == 0
sell := ( sell ? direction == 1 : direction == 1 and direction[1] == -1 ) and sellC == 0
if buy
buyC := 1
sellC := 0
if sell
sellC := 1
buyC := 0
// Plot buy and sell signals
plotshape(buy, title = "Buy", text = 'Buy', style = shape.labeldown, location = location.top, color= color.green, textcolor = color.white, size = size.small)
plotshape(sell, title = "Sell", text = 'Sell', style = shape.labelup, location = location.bottom, color= color.red, textcolor = color.white, size = size.small)
// Alert conditions
alertcondition(buy, "Buy", "Buy")
alertcondition(sell, "Sell", "Sell")
```
## All-in-One Indicator Strategy
This document describes the automation of the "All in One Indicator Strategy," which is a technical analysis approach designed to give you buy or sell signals based on the combination of multiple indicators. The strategy utilises multiple indicators such as moving averages, supertrend, VWAP, and RSI to identify potential entry and exit points for trades on an individual strike/Straddle/Strangle chart.
### What is the All in One Indicator Strategy?
We will be using the All-in-One indicator strategy, involving a combination of indicators such as RSI, VWAP, Super Trend, and Moving Averages for defining our entries and exits. By using multiple indicators to establish our strategy for entry and exits, we aim to obtain multiple confirmations before entering a trade.
While trades may be less frequent due to the reliance on multiple confirmations, the trade opportunities are more likely to be of higher quality and offer a greater probability of success.
However, the choice of which indicators to enable for defining entry and exit conditions, as well as the timeframe to use, is left to your discretion. For our strategy demonstration, we will be utilizing all available indicators in a 5-minute timeframe.
| Pros & Cons | Smaller Time Frame (1 minute to 5 minutes) | Higher Time Frame (10-15 minutes and above) |
| ----------------- | ------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------- |
| Entry & Exit | Using a smaller time frame can provide early entry & exit which helps in targeting a big reward compared to a small stop-loss. | Using a higher time frame may result in delayed entry, but it can improve signal accuracy. |
| Risk Reward | Using a smaller timeframe offers a better risk-reward opportunity because of early entry, leading to a smaller stop loss. | Using a higher time frame gives a moderate risk-reward opportunity as entry is a little bit late, resulting in a bigger stop loss. |
| Accuracy | Accuracy will not be good with a smaller time frame due to many false signals. | Accuracy will be better with a higher time frame as there are fewer but better signals. |
| Number of Trades | The number of Trades is higher with a smaller time frame which may result in higher charges. | The number of trades is lower with a higher time frame |
| Risk of Loss | A high risk of loss is possible with a smaller time frame due to many small losses. | Moderate risk of loss is possible with a higher time frame due to fewer but larger losses. |
| Market Conditions | Works well in a low-volatility market. | Can perform effectively in both low-volatility and high-volatility markets. |
## The Power of All-in-One Indicator Strategy
Consider using multiple indicators for trading. For example, instead of relying solely on the VWAP indicator for buying above and selling below, you can use a combination of indicators for better confirmation. You can look for situations where the candle close is above/below vwap and supertrend. By using these multiple indicators, you can increase the accuracy of your trades. Additionally, you can plot these indicators on a combined chart or individual option chart to further enhance your strategy.
You can use this strategy for executing a short straddle or long straddle on combined charts or taking directional trades on individual option strike charts. This strategy will be applied on the straddle chart for option selling to benefit from theta decay on expiry.
This strategy capitalises on situations where the price seems to be losing the momentum of an uptrend and moves to a downtrend. We will look for a 5-minute candle whose close is below vwap and super trend on the straddle chart to initiate a short straddle aiming to profit if the price continues its downward journey.
It is important to note that the indicators we are using like super trend and vwap are for entry and exit are only for demonstration purposes. You may use other indicators as well for your preference.
### Spotting Your Entry: The Entry Candle
Our strategy hinges on a specific type of price action on a straddle or strangle chart -- the Entry candle. This isn't a fancy candlestick pattern; it's simply a candle that meets the following criteria:
#### Price Position:
The close of the 5-minute candle should be below VWAP and Supertrend.\
You can view that entry criteria are fulfilled on a straddle chart as shown in the image below.
As shown in the image above, this is a straddle chart of Nifty 24300 CE and 24300 PE. When the highlighted candle closed below the VWAP and Supertrend and it generated a sell alert, it was time to short 24300 CE and 24300 PE.
### Exiting Gracefully: Stop-Loss and Take Profit
No trading strategy is complete without a solid risk management plan. Here's how the All in one indicator incorporates stop-loss and take-profit orders:
- **Stop-Loss**: To minimise potential losses, we will close our Nifty ATM Straddle position if any 5-minute candle closes above VWAP and Supertrend, as depicted in the image below.
As shown in the above image when the candle closed above vwap and supertrend, it gave a buy alert. So as soon as it gives a buy alert it's time to exit our short straddle position.
- **Take-Profit**: Since we employ this strategy on expiry days, our goal is to collect the entire premium of the straddle. Therefore, we anticipate that the value of the straddle will ultimately dwindle to 0. Consequently, we will close our positions at 03:15 on the same day.
## Automating All-in-One Indicator Strategy on AlgoTest
TradingView has a feature called Alerts, which allows you to set up notifications for your trading strategies. For example, if you want to sell an ATM Straddle when our All in One Indicator gives a Sell Signal, you can create an alert for that. Once the strategy conditions are met, you will receive an alert via SMS, email, or mobile notification. You can then manually execute the trade on your broker's platform.
Alternatively, if you prefer automation, you can use AlgoTest's Signals to automatically execute the trade based on the alert. You just need to set up the alert on TradingView and link it with AlgoTest Signals to automate your indicator-based strategy.
### Requirements
#### TradingView Essential Plan
You should have a minimum [TradingView Essential Plan](https://in.tradingview.com/pricing/#plans) activated on your TradingView account to use AlgoTest Signal.
#### AlgoTest Signals Plan
You should have a [Signals Plan](https://algotest.in/#pricing) activated on your AlgoTest account.
#### Broker Connect with AlgoTest
You need to connect your broker with AlgoTest to use AlgoTest Signal. To connect your broker with AlgoTest [click here.](https://docs.algotest.in/category/broker-setup/)
#### Pine Script Code
You will need a Pine Script Code that can generate buy or sell signals as per your conditions in AlgoTest. You can get this code on top of this page.
### Connecting All in One Indicator with AlgoTest
To automate the All in One Indicator Strategy on AlgoTest, you first need to create alerts in TradingView. Then, these alerts can be used to connect with AlgoTest via a webhook. You will create alerts in TradingView, which will generate entry and exit alerts based on our strategy conditions. Then, in AlgoTest, you will create an "ATM Straddle Sell" strategy in which you add CE and PE legs and connect both of them via webhook. When your All-in-One Indicator strategy gives a sell signal in TradingView, AlgoTest will capture the alert and sell the CE and PE leg position on the broker's end. Similarly, when your strategy gives an exit alert in TradingView, AlgoTest will capture the alert and exit your entire ATM Straddle position.
#### Adding All in One Indicator TradingView
To incorporate All in One Indicator in TradingView, you can utilise a custom Pine Script code that we have developed. This code will display the indicator on the chart and enable you to choose option strikes in the settings. To understand how to add the All in One Indicator Pine Script Code, available at the top of this page, in TradingView, please [click here](https://docs.algotest.in/signals/tradingview-pinescript/). Once you've added the Pine Script code in TradingView, the indicator will be visible on the chart, as illustrated in the image below.
Please ensure that you update the indicator's expiry to the latest date and choose the strike where you want to place the indicator. This can prevent errors that may occur if the indicator's expiry is outdated. To do this, click on the settings button on the indicator and select the appropriate expiry and strike, as shown in the image below.\\
For instance, if you want to plot your indicator on the Nifty 1st August 2024 contract 24300 CE & PE Leg, then you should set the inputs as illustrated below.
Further, you can enable or disable the multiple indicators with just one click. As we want to use only Vwap and Supertrend indicators in our strategy, so we will enable vwap and Supertrend only as shown in the image below. However, if you want more indicators or a different set of indicators you can enable them as shown in the image below.
#### Creating Alerts in TradingView
Alerts in TradingView notify you when entry or exit conditions are met. We'll set up alerts for our entry and exit conditions.
- Assume we want to automate the All in One Indicator Strategy on the 5-minute chart. So we will open the Nifty 5 Minute chart in TradingView as shown in the image below. You can choose any time frame you prefer.
- To create an alert, click on the "Alert" button as shown in the image below.
- We need to set up an alert for two conditions: short entry (sell) and short exit (buy). We'll start by creating an alert for the Short Entry condition. We want to enter when our indicator alerts us to a sell signal. So we'll pick the sale condition displayed in the image below.
- Similarly, we will create another alert i.e. Exit as shown in the image below. We will select buy condition in the condition tab as we want to exit our straddle when the buy alert comes.
- Now you will be able to view these alerts in the alert section as shown in the image below.
As we have created our 2 alerts. Now we need to connect these alerts with AlgoTest for automation. So when the Sell condition in All in One Indicator condition is met, an alert will be generated in TradingView and it will be executed automatically on the broker end by AlgoTest. Similarly, when the Buy alert is generated it should automatically exit our entry position on the broker's end.
#### Connecting Alerts with AlgoTest
We can connect TradingView Alerts with AlgoTest via webhooks. Follow some simple steps as shown below.
- Launch a new browser tab. In this new tab, navigate to the [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) website and log in.
- Once logged in, find and choose the 'Signals' feature of AlgoTest, as seen in the figure below.
Choose 'New Signal' and the 'TradingView Indicator' option.
- There are now two options available to you:
1\. 'Live Deployment'
2\. 'Forward Test'
Now, we will briefly explain the above options.
Firstly, let me explain the word 'Deployment'. 'Deploying a Stratеgy' mеans to apply thе stratеgy in thе actual stock markеt.
##### What does Live Dеploymеnt mеan?
This option allows you to deploy your trading strategy in the live market. Whеn you choosе this option, AlgoTеst monitors thе strategy entry and exit conditions in real-time and as soon as an alert comes from TradingView it will execute the order in your broker terminal.
##### What does the Forward Test mean?
Forward tеsting or paper trading means trading with virtual money using LIVE markеt data. You can see your trades and PnL in AlgoTest but you will not need any broker for forward testing.
If you want to use this strategy in a live trading environment, select 'Live Deployment.' If you'd rather paper trade at first, select 'Forward Test.' Please keep in mind that the methods for linking live and forward trading are the same.
- Click 'Create Strategy'. Now we have to create a strategy in which we will add a Nifty 24300 CE and Nifty 24300 PE Leg Sell Position.
- Configure the 24300 CE leg in leg builder as shown in the image below and click on add leg.
**Important Strategy Specifications:**
- Nifty Index
- **Time of Entry**: 9:16
***
(This implies that our strategy will start responding to alerts from TradingView only after the chosen entry time, in this example, 9:16. Please remember that this timing does not correspond to the execution at 9:16.)
- **Time of Exit**: 3:15
***
(Our strategy will no longer respond to the TradingView alerts after 3:15. Any alert generated after this time will not be considered. Until 3:15, the strategy will only respond to TradingView alerts.)
Due to the presence of an exit condition, we have not included a stop-loss in the strategy. You, on the other hand, have the option to include one if you wish.
- Now you can see Leg1 is added under Strategy Legs as shown in the image below.
- Similarly, we will also add another leg, i.e., the 24300 PE leg in the leg builder. So there will be a total of two legs in this strategy. If a sell signal comes from TradingView, it will execute both the ATM CE and PE legs. After this, click on the "Save and Continue" button.\\
- Now, name the strategy. You will be asked to select your broker from the options shown in the image. Choose your preferred broker.
- It will ask for execution parameters, We'll give you recommendations for the best execution. If you don't want to get into the specifics, just use the settings shown in the image below for both legs of your strategy. You can read about execution settings [here](https://docs.algotest.in/execution-settings/).
After you've finished customising these options, click 'Save Settings, and Continue.'
- You can name the entry alert 'Entry' (or any other name you like). Now, as seen in the figure below, copy the JSON Block code using the copy icon. We need to put this JSON Block in the TradingView entry alert.
- Return to the TradingView tab and click on the settings button on our entry alert as shown in the image below.
- Paste the JSON code that we copied from AlgoTest in the Message box of the alert as shown in the image below. After pasting the JSON code in the message box, we need to copy the webhook URL from AlgoTest and paste it into the webhook URL field of the same alert.\\
- Navigate to the AlgoTest tab and click 'I have pasted.' The webhook URL will be shown, along with a 'Copy' button. Click 'Copy,' as seen in the figure below. This webhook URL must be pasted into the 'Notification' page we accessed in the previous step.
- Then, as seen in the figure below, enter the copied Webhook URL into the 'Webhook URL' space under the 'Notification' tab and click on the Create button. If the Webhook URL is already filled in, please be sure to clear it before inserting the copied URL.
- Our TradingView Entry alert has now been successfully established. The next step is to set up an exit alert. Return to the AlgoTest page, and you'll see an option for adding an exit alert (optional), as seen in the image below.
- Click 'Add Exit Alert,' as seen in the figure above.
\-Give it a distinct name and save the alert configuration.
\-Then you'll notice a JSON block message. Make a copy of this message.
\-Go back to the TradingView tab.\
We had already created an exit alert in TradingView. We need to paste this JSON code in the message box of the exit alert.
- Paste the JSON Code in the message box of the exit alert as shown in the image below.
- Now we need to copy the webhook URL from AlgoTest and paste that into the exit alert. To copy the webhook URL from AlgoTest, go to the AlgoTest tab, click on "I have pasted" and copy the webhook URL as shown in the image below.
- Paste it into the notification tab's 'Webhook URL' option in the alert, just as we did when establishing the entry alert. Click on the save button.
- Finally, return to the AlgoTest page and click on 'Start Listening,' as seen in the figure below by the green marker.
- Your strategy will show up as "listening" on the SIGNAL tab of AlgoTest if all the stages have been followed successfully, as seen in the screenshot below.
Our strategy is now active and prepared to execute the trade in case any alerts are generated in TradingView by the All in one indicator according to our strategy conditions.
---
// File: signals/famous-strategies/inside-candle
import Iframe from "../../../src/components/Iframe";
## How to Automate strategy by Power of Stocks | Inside Candle Strategy
:::warning
These strategies are for demonstration purposes only and are not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of these sample strategies.
:::
In this article, we will explore a popular trading strategy known as the Inside Candle strategy, conceptualised by the renowned trader **Mr. Subasish Pani**, commonly referred to as **'Power of Stocks'**.
This strategy is highly effective and widely used by traders for its simplicity and profitability. We will not only explain the strategy in detail but also guide you on how to automate it using AlgoTest without any coding.
## Free Pinescript - Inside Candle Strategy
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
```ts showLineNumbers
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © AlgoTest
//@version=5
indicator("Inside Candle Indicator", overlay=true)
RiRe = input.float(2, title='Risk Reward Ratio')
var float insideCandleHigh = na
var float insideCandleLow = na
var int insideCandleC = 0
var int longC = 0
var int shortC = 0
var float longTar = na
var float shortTar = na
if dayofweek != dayofweek[1]
insideCandleHigh := na
insideCandleLow := na
insideCandleC := 0
longC := 0
shortC := 0
longTar := na
shortTar := na
long_exit = (close < insideCandleLow or close > longTar) and longC == 1
short_exit = (close > insideCandleHigh or close < shortTar) and shortC == 1
if short_exit or long_exit
insideCandleC := 0
shortC := 0
longC := 0
insideCandleHigh := na
insideCandleLow := na
inside_candle = high < high[1] and low > low[1] and insideCandleC == 0
if inside_candle
insideCandleC := 1
longC := 0
shortC := 0
insideCandleHigh := high[1]
insideCandleLow := low[1]
long = insideCandleC == 1 and high > insideCandleHigh and longC == 0 and shortC == 0
if long
longC := 1
longTar := high + (high - insideCandleLow)* RiRe
short = insideCandleC == 1 and low < insideCandleLow and longC == 0 and shortC == 0
if short
shortC := 1
shortTar := low - (insideCandleHigh - low) * RiRe
plotshape(inside_candle, title='Inside Candle', text = 'Baby Candle')
plotshape(long, title='Long Entry', style=shape.arrowup, location=location.abovebar, color=color.green, text='Long Entry', textcolor=color.green)
plotshape(short, title='Short Entry', style=shape.arrowdown, location=location.abovebar, color=color.green, text='Short Entry', textcolor=color.green)
plotshape(long_exit, title='Long Exit', style=shape.arrowdown, location=location.belowbar, color=color.red, text='Long Exit', textcolor=color.red)
plotshape(short_exit, title='Short Exit', style=shape.arrowdown, location=location.belowbar, color=color.red, text='Short Exit', textcolor=color.red)
alertcondition(long, 'Long Entry', 'Long Entry')
alertcondition(long_exit, 'Long Exit', 'Long Exit')
alertcondition(short, 'Short Entry', 'Short Entry')
alertcondition(short_exit, 'Short Exit', 'Short Exit')
```
## Understanding the Inside Candle Strategy
### Introduction to the Strategy
The Inside Candle strategy revolves around identifying specific candle patterns on the trading chart. It involves two main components: the mother (or alert) candle and the baby candle.
### The Mother Candle
The mother candle is any significant candle formed on the trading chart. It doesn't matter whether it's a green or red candle. This candle sets the boundaries for the subsequent trading action.
### The Baby Candle
The baby candle is the next candle that forms entirely within the high and low range of the mother candle. The formation of a baby candle within these boundaries signals a potential trading opportunity.
### Trading Rules
**Long Entry**: When a candle breaks above the high of the mother candle, initiate a long trade (buy).
**Short Entry**: When a candle breaks below the low of the mother candle, initiate a short trade (sell).
**Stop Loss**: The stop loss for a long trade is the low of the mother candle, and for a short trade, it's the high of the mother candle.
**Risk to Reward Ratio**: The recommended risk to reward ratio is 1:2, meaning for every unit of risk, the target profit is double that amount.
## Practical Application on TradingView
### Setting Up the Strategy
1. Mother Candle Identification: Identify a significant candle on the trading chart.
2. Baby Candle Formation: Ensure the next candle forms entirely within the high and low range of the mother candle.
### Example on TradingView
#### Long Trade Example
- Identify the mother candle.
- Wait for a baby candle to form within the mother candle.
- Once a subsequent candle breaks the high of the mother candle, initiate a long trade.
#### Short Trade Example
- Identify the mother candle.
- Wait for a baby candle to form within the mother candle.
- Once a subsequent candle breaks the low of the mother candle, initiate a short trade.
## Automating the Inside Candle Strategy on Algo Test
### Setting Up the Automation
1. **Code Integration**
- Go to the provided link with the strategy code.
- Copy the code and paste it into Trading View's Pine Editor.
- Add the script to your chart.
1. **Creating Signals on Algo Test**
- Navigate to the Algo Test dashboard.
- Create a new signal using TradingView indicators.
- Configure the entry and exit conditions for both long and short trades.
- Copy the generated JSON block and paste it into TradingView alerts.
### Configuring Alerts
- Long Entry Alert: Set the condition to trigger when a candle breaks the high of the mother candle.
- Long Exit Alert: Set the condition to trigger based on your exit strategy (e.g., hitting the target profit).
- Short Entry Alert: Set the condition to trigger when a candle breaks the low of the mother candle.
- Short Exit Alert: Set the condition to trigger based on your exit strategy.
### Backtesting and Live Trading
- Backtesting: Test the strategy with historical data to ensure its effectiveness.
- Live Trading: Join the live trading session on the specified date to see the strategy in action.
## Key Points to Remember
- Time Frame: The strategy is best implemented on a 15-minute time frame.
- Entries: Limit the number of entries to two or three per day to avoid over-trading.
- Risk Management: Stick to the recommended risk to reward ratio to maximize profitability.
## Conclusion
The Inside Candle strategy is a powerful yet simple trading approach that can yield significant profits when executed correctly. Automating this strategy on Algo Test ensures precision and efficiency, allowing you to focus on other aspects of trading.
By following the steps outlined in this article, you can implement and automate the Inside Candle strategy, leveraging its potential to enhance your trading performance.
We hope you found this guide helpful. If you have any strategies you'd like us to automate or if you have any questions, please let us know in the comments. Don't forget to like this video and subscribe to our channel for more insightful content. Happy trading!
---
// File: signals/famous-strategies/momentum-straddle
import Iframe from "../../../src/components/Iframe";
# Momentum on Straddle & Strangle Charts (Combined Premium)
:::warning
These strategies are for demonstration purposes only and are not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of these sample strategies.
:::
## FREE Momentum on Straddle & Strangle Charts (Combined Premium)
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
```ts showLineNumbers
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © AlgoTest
//@version=5
indicator("Momentum on Straddle & Strangle Charts",shorttitle = "Momentum on SC", overlay=false)
// Input for Index and Expiry Date
spot = input.string("BANKNIFTY", title = "Spot Symbol", options = ["NIFTY", "BANKNIFTY", "FINNIFTY", "MIDCPNIFTY"], group = "Index")
momentum_type = input.string(defval="Percentages", title="Momentum Type",options = ["Percentages", "Points"] , group="Momentum")
momentum_value = input.float(defval=5, title="Momentum Value", group="Momentum")
momentum_dir = input.string(defval="Downwards", title="Momentum direction",options = ["Upwards", "Downwards"] , group="Momentum")
entry_hour = input.int(defval=9, title="Hour", group="Entry Time")
entry_min = input.int(defval=20, title = "Minutes", group="Entry Time")
exit_hour = input.int(defval=15, title="Hour", group="Exit Time")
exit_min = input.int(defval=15, title = "Minutes", group="Exit Time")
tooltip_day = "Enter the day of the expiry. Add 0 in front if the day is a single digit. For example: 05 instead of 5"
tooltip_month = "Enter the month of the expiry. Add 0 in front if the month is a single digit. For example: 06 instead of 6"
tooltip_year = "Enter the year of the expiry. Use the last two digits of the year. For example: 24 instead of 2024"
_day = input.string("18", title = "Expiry Day", tooltip = tooltip_day, group="Expiry Date")
_month = input.string("09", title = "Expiry Month", tooltip = tooltip_month, group="Expiry Date")
_year = input.string("24", title = "Expiry Year", tooltip = tooltip_year, group="Expiry Date")
// Input for Strikes
tooltip_ = "You can select any Strike, and choose to include both strikes or just one"
strike_ce = input.int(52200, "Call Strike", tooltip = tooltip_, group = "Select Strike")
strike_pe = input.int(52200, "Put Strike", tooltip = tooltip_, group = "Select Strike")
// Option to include both strikes
strike_choice = "Combined"
// Generate symbols for Call and Put options
var string symbol_CE = spot + _year + _month + _day + "C" + str.tostring(strike_ce)
var string symbol_PE = spot + _year + _month + _day + "P" + str.tostring(strike_pe)
// Request security data for both Call and Put options
[call_open, call_high, call_low, call_close] = request.security(symbol_CE, timeframe.period, [open, high, low, close])
[put_open, put_high, put_low, put_close] = request.security(symbol_PE, timeframe.period, [open, high, low, close])
call_volume = request.security( symbol_CE, timeframe.period , volume )
put_volume = request.security( symbol_PE, timeframe.period , volume )
var float combined_open = 0
var float combined_high = 0
var float combined_low = 0
var float combined_close = 0
// Calculate combined premium based on strike choice
if strike_choice == "Combined"
combined_open := call_open + put_open
combined_close := call_close + put_close
combined_high := math.max(combined_open, combined_close)
combined_low := math.min(combined_open, combined_close)
// Plot combined premium as a candle
plotcandle(combined_open, combined_high, combined_low, combined_close, title = "Combined Premium", color = combined_close > combined_open ? color.green : color.red)
// Define buy and sell conditions based on selected indicators
var bool buy = false
var bool sell = false
var bool momentum_calc = false
var int buyC = 0
var int sellC = 0
var float momentum = na
if dayofweek != dayofweek[1]
buyC := 0
sellC := 0
momentum := na
momentum_calc := false
if hour == exit_hour and minute >= exit_min
if buyC == 1
buyC := 0
sell := true
if sellC == 1
sellC := 0
buy := true
if (hour == entry_hour and minute == entry_min) and not( hour == exit_hour and minute >= exit_min )
momentum_calc := true
if momentum_dir == "Upwards"
if momentum_type == "Points"
momentum := combined_close + momentum_value
if momentum_type == "Percentages"
momentum := combined_close * ( 1 + momentum_value/100)
if momentum_dir == "Downwards"
if momentum_type == "Points"
momentum := combined_close - momentum_value
if momentum_type == "Percentages"
momentum := combined_close * ( 1 - momentum_value/100)
if momentum_calc == true
if momentum_dir == "Upwards" and combined_close >= momentum and buyC == 0
buy := true
buyC := 1
momentum_calc := false
if momentum_dir == "Downwards" and combined_close <= momentum and sellC == 0
sell := true
sellC := 1
momentum_calc := false
plot(momentum, title = "Momentum", color = color.blue, trackprice = true, style = plot.style_linebr)
// Plot buy and sell signals
plotshape(buy, title = "Buy", text = 'Buy', style = shape.labeldown, location = location.top, color= color.green, textcolor = color.white, size = size.small)
plotshape(sell, title = "Sell", text = 'Sell', style = shape.labelup, location = location.bottom, color= color.red, textcolor = color.white, size = size.small)
// Alert conditions
alertcondition(buy, "Buy", "Buy")
alertcondition(sell, "Sell", "Sell")
buy := false
sell := false
```
---
// File: signals/famous-strategies/supertrend-straddle
import Iframe from "../../../src/components/Iframe";
# SuperTrend on Straddle & Strangle Strategy
:::warning
These strategies are for demonstration purposes only and are not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of these sample strategies.
:::
## FREE Supertrend on Straddle & Strangle Pinescript
### Code for Buying Strategy
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
```ts showLineNumbers
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © AlgoTest
//@version=5
indicator("SuperTrend on Straddle & Strangle", overlay = false)
atrLength = input.int(10, 'ATR Length', group = "SuperTrend")
fac = input.float(3, 'Factor', group = "SuperTrend")
spot = input.string( "BANKNIFTY" , title = "Spot Symbol", options = ["NIFTY", "BANKNIFTY", "FINNIFTY", "MIDCPNIFTY"], group = "Index")
tooltip_day = "Enter the day of the expiry. Add 0 infront, if day is in single digit. For eg : 05 instead of 5"
tooltip_month = "Enter the month of the expiry. Add 0 infront, if month is in single digit. For eg : 06 instead of 6"
tooltip_year = "Enter the year of the expiry. Use last digit of the year. For eg : 24 instead of 2024"
_day = input.string( "14" , title = "Expiry Day", tooltip = tooltip_day, group="Expiry Date")
_month = input.string( "06" , title = "Expiry Month", tooltip = tooltip_month, group="Expiry Date")
_year = input.string( "24" , title = "Expiry Year", tooltip = tooltip_year, group="Expiry Date")
tooltip_ = "You can select any Strike, you can also have SuperTrend on Straddle, Strangle"
strike_ce = input.int(50700, "Call Strike", tooltip = tooltip_, group = "Select Strike")
strike_pe = input.int(50700, "Put Strike", tooltip = tooltip_, group = "Select Strike")
var string symbol_CE = spot+_year+_month+_day+"C"+str.tostring(strike_ce)
var string symbol_PE = spot+_year+_month+_day+"P"+str.tostring(strike_pe)
[call_open, call_high, call_low, call_close] = request.security( symbol_CE, timeframe.period , [open, high, low, close] )
[put_open, put_high, put_low, put_close] = request.security( symbol_PE, timeframe.period , [open, high, low, close] )
straddle_open = call_open + put_open
straddle_close = call_close + put_close
straddle_high = math.max(straddle_open, straddle_close)
straddle_low = math.min(straddle_open, straddle_close)
plotcandle ( straddle_open , straddle_high , straddle_low , straddle_close , title = "Straddle/Strangle" , color = straddle_close > straddle_open ? color.green : color.red )
pine_supertrend(factor, atrPeriod) =>
src = straddle_close
atr = ta.atr(atrPeriod)
upperBand = src + factor * atr
lowerBand = src - factor * atr
prevLowerBand = nz(lowerBand[1])
prevUpperBand = nz(upperBand[1])
lowerBand := lowerBand > prevLowerBand or straddle_close[1] < prevLowerBand ? lowerBand : prevLowerBand
upperBand := upperBand < prevUpperBand or straddle_close[1] > prevUpperBand ? upperBand : prevUpperBand
int _direction = na
float superTrend = na
prevSuperTrend = superTrend[1]
if na(atr[1])
_direction := 1
else if prevSuperTrend == prevUpperBand
_direction := straddle_close > upperBand ? -1 : 1
else
_direction := straddle_close < lowerBand ? 1 : -1
superTrend := _direction == -1 ? lowerBand : upperBand
[superTrend, _direction]
[supertrend, direction] = pine_supertrend(factor = fac, atrPeriod = atrLength)
// [supertrend, direction] = ta.supertrend(factor = fac, atrPeriod = atrLength)
plot(direction < 0 ? supertrend : na, "Up direction", color = color.green, style=plot.style_linebr)
plot(direction > 0 ? supertrend : na, "Down direction", color = color.red, style=plot.style_linebr)
entry = direction == -1 and direction[1] == 1
exit = direction == 1 and direction[1] == -1
plotshape(entry, title = "Entry", text = 'Entry', style = shape.labelup, location = location.bottom, color= color.green, textcolor = color.white, size = size.tiny)
plotshape(exit, title = "Exit", text = 'Exit', style = shape.labeldown, location = location.top, color= color.red, textcolor = color.white, size = size.tiny)
alertcondition(entry, "Entry", "Entry")
alertcondition(exit, "Exit", "Exit")
```
### Code for Exiting the Strategy
```ts showLineNumbers
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © AlgoTest
//@version=5
indicator("SuperTrend on Straddle & Strangle", overlay = false)
atrLength = input.int(10, 'ATR Length', group = "SuperTrend")
fac = input.float(3, 'Factor', group = "SuperTrend")
spot = input.string( "BANKNIFTY" , title = "Spot Symbol", options = ["NIFTY", "BANKNIFTY", "FINNIFTY", "MIDCPNIFTY"], group = "Index")
tooltip_day = "Enter the day of the expiry. Add 0 infront, if day is in single digit. For eg : 05 instead of 5"
tooltip_month = "Enter the month of the expiry. Add 0 infront, if month is in single digit. For eg : 06 instead of 6"
tooltip_year = "Enter the year of the expiry. Use last digit of the year. For eg : 24 instead of 2024"
_day = input.string( "14" , title = "Expiry Day", tooltip = tooltip_day, group="Expiry Date")
_month = input.string( "06" , title = "Expiry Month", tooltip = tooltip_month, group="Expiry Date")
_year = input.string( "24" , title = "Expiry Year", tooltip = tooltip_year, group="Expiry Date")
tooltip_ = "You can select any Strike, you can also have SuperTrend on Straddle, Strangle"
strike_ce = input.int(50700, "Call Strike", tooltip = tooltip_, group = "Select Strike")
strike_pe = input.int(50700, "Put Strike", tooltip = tooltip_, group = "Select Strike")
var string symbol_CE = spot+_year+_month+_day+"C"+str.tostring(strike_ce)
var string symbol_PE = spot+_year+_month+_day+"P"+str.tostring(strike_pe)
[call_open, call_high, call_low, call_close] = request.security( symbol_CE, timeframe.period , [open, high, low, close] )
[put_open, put_high, put_low, put_close] = request.security( symbol_PE, timeframe.period , [open, high, low, close] )
straddle_open = call_open + put_open
straddle_close = call_close + put_close
straddle_high = math.max(straddle_open, straddle_close)
straddle_low = math.min(straddle_open, straddle_close)
plotcandle ( straddle_open , straddle_high , straddle_low , straddle_close , title = "Straddle/Strangle" , color = straddle_close > straddle_open ? color.green : color.red )
pine_supertrend(factor, atrPeriod) =>
src = straddle_close
atr = ta.atr(atrPeriod)
upperBand = src + factor * atr
lowerBand = src - factor * atr
prevLowerBand = nz(lowerBand[1])
prevUpperBand = nz(upperBand[1])
lowerBand := lowerBand > prevLowerBand or straddle_close[1] < prevLowerBand ? lowerBand : prevLowerBand
upperBand := upperBand < prevUpperBand or straddle_close[1] > prevUpperBand ? upperBand : prevUpperBand
int _direction = na
float superTrend = na
prevSuperTrend = superTrend[1]
if na(atr[1])
_direction := 1
else if prevSuperTrend == prevUpperBand
_direction := straddle_close > upperBand ? -1 : 1
else
_direction := straddle_close < lowerBand ? 1 : -1
superTrend := _direction == -1 ? lowerBand : upperBand
[superTrend, _direction]
[supertrend, direction] = pine_supertrend(factor = fac, atrPeriod = atrLength)
// [supertrend, direction] = ta.supertrend(factor = fac, atrPeriod = atrLength)
plot(direction < 0 ? supertrend : na, "Up direction", color = color.green, style=plot.style_linebr)
plot(direction > 0 ? supertrend : na, "Down direction", color = color.red, style=plot.style_linebr)
entry = direction == 1 and direction[1] == -1
exit = direction == -1 and direction[1] == 1
plotshape(entry, title = "Entry", text = 'Entry', style = shape.labelup, location = location.bottom, color= color.green, textcolor = color.white, size = size.tiny)
plotshape(exit, title = "Exit", text = 'Exit', style = shape.labeldown, location = location.top, color= color.red, textcolor = color.white, size = size.tiny)
alertcondition(entry, "Entry", "Entry")
alertcondition(exit, "Exit", "Exit")
```
## How to Automate Supertrend on Straddle/Strangle Strategy
This document explains the automation of the "Supertrend Straddle/Strangle Strategy," a technical analysis method created to capture theta on expiry days. The strategy uses the Supertrend indicator to pinpoint potential entry and exit points for trades on a Straddle/Strangle chart.
### What is the Supertrend Straddle/Strangle Strategy?
The Supertrend Straddle/Strangle strategy uses the Supertrend technical indicator to spot opportunities for selling/buying straddle or strangle options to capture theta & gamma. A supertrend is a popular indicator among technical analysts to determine the direction of the trend.
This strategy is used for intraday trading by plotting the Supertrend indicator on a Straddle/Strangle chart. When a 1-minute candle closes below the Supertrend, the straddle is shorted, and when a 1-minute candle closes above the Supertrend, the short straddle position is exited. You can also use this for buying straddle/strangle when the 1-minute candle closes above the Supertrend and exit the long straddle/strangle positions when the 1-minute candle closes below the Supertrend. You can also use a different time frame according to your preference.
Selecting a timeframe for a strategy is very important. Whether you choose shorter timeframe candles, such as 1, 2, or 5 minutes, or opt for a higher timeframe, like 10 or 15 minutes, it can affect your strategy in both good and bad ways. Let's delve into how different timeframes affect your strategy.
| Pros & Cons | Smaller Time Frame (1 minute to 5 minutes) | Higher Time Frame (10-15 minutes and above) |
| :---------------- | :----------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------- |
| Entry & Exit | Using a smaller time frame can provide early entry & exit which helps in targeting a big reward compared to a small stop-loss. | Using a higher time frame may result in delayed entry, but it can improve signal accuracy. |
| Risk Reward | Using a smaller timeframe offers a better risk-reward opportunity because of early entry, leading to a smaller stop loss. | Using a higher time frame gives a moderate risk-reward opportunity as entry is a little bit late, resulting in a bigger stop loss. |
| Accuracy | Accuracy will not be good with a smaller time frame due to many false signals. | Accuracy will be better with a higher time frame as there are fewer but better signals. |
| Number of Trades | The number of Trades is higher with a smaller time frame which may result in higher charges. | The number of trades is lower with a higher time frame |
| Risk of Loss | A high risk of loss is possible with a smaller time frame due to many small losses. | Moderate risk of loss is possible with a higher time frame due to fewer but larger losses. |
| Market Conditions | Works well in a low-volatility market. | Can perform effectively in both low-volatility and high-volatility markets. |
### The Power of the Supertrend
Imagine Supertrend as a dynamic line on your trading chart. When the price is above the Supertrend, it often suggests that the price is in an uptrend and there is a high possibility that it will further go up. When the price is below the Supertrend, it suggests that the price is in a downtrend and there is a high possibility that it will further go down. So you can use these signals for both buying/selling options.
The Supertrend Straddle strategy is a theta eater strategy based on the logic that if a straddle/strangle combined price is below Supertrend then there is a high possibility that it will go further down to zero. Thus, in the Supertrend Straddle strategy, we look for the 1-minute candle to close below the Supertrend on the Straddle/strange chart. You can choose any other time frame as per your preference.
This strategy capitalises on situations where the price seems to be losing the momentum of an uptrend and moves to a downtrend. We will look for a candle to close below the supertrend to initiate short trades, aiming to profit if the price continues its downward journey.
## Spotting Your Entry: The Entry Candle
Our strategy hinges on a specific type of price action on a straddle or strangle chart -- the Entry candle. This isn't a fancy candlestick pattern; it's simply a candle that meets the following criteria:
### Price Position
The opening of the 1-minute candle should be above Supertrend and the close of the same 1-minute candle should be below Supertrend on a straddle/strangle chart as shown in the image below.
As shown in the image above, this is a straddle chart of Nifty 24150 CE and 24150 PE. When the highlighted candle closed below the supertrend, it was time to short 24150 CE and 24150 PE.
### Exiting Gracefully: Stop-Loss and Take Profit
No trading strategy is complete without a solid risk management plan. Here's how the Supertrend Straddle/Strangle strategy incorporates stop-loss and take-profit orders:
- Stop-Loss: To minimise potential losses, we will close our Nifty ATM Straddle position if any 1-minute candle closes above the supertrend, as depicted in the image below.
- Take-Profit: Since we employ this strategy on expiry days, our goal is to collect the entire premium of the straddle. Therefore, we anticipate that the value of the straddle will ultimately dwindle to 0. Consequently, we will close our positions at 03:29 on the same day.
## Automating Supertrend Straddle Strategy on AlgoTest
TradingView has a feature called Alerts, which allows you to set up notifications for your trading strategies. For example, if you want to sell an ATM Straddle when our Supertrend Straddle/Strangle Indicator gives a Sell Signal, you can create an alert for that. Once the strategy conditions are met, you will receive an alert via SMS, email, or mobile notification. You can then manually execute the trade on your broker's platform.
Alternatively, if you prefer automation, you can use AlgoTest's Signals to automatically execute the trade based on the alert. You just need to set up the alert on TradingView and link it with AlgoTest Signals to automate your indicator-based strategy.
### Requirements
#### TradingView Essential Plan
You should have a minimum [TradingView Essential Plan](https://in.tradingview.com/pricing/#plans) activated on your TradingView account to use AlgoTest Signal.
#### AlgoTest Signals Plan
You should have a [Signals Plan](https://algotest.in/#pricing) activated on your AlgoTest account.
#### Broker Connect with AlgoTest
You need to connect your broker with AlgoTest to use AlgoTest Signal. To connect your broker with AlgoTest [click here. ](https://docs.algotest.in/category/broker-setup/)
#### Pine Script Code
You will need a Pine Script Code that can generate buy or sell signals as per your conditions in AlgoTest. You can get this code on top of this page.
### Connecting Supertrend Straddle Indicator with AlgoTest
To automate the Supertrend Straddle Strategy on AlgoTest, you first need to create alerts in TradingView. You can then use these alerts to establish a webhook connection with AlgoTest. You will create alerts in TradingView, which will generate entry and exit alerts based on our strategy conditions. Then, in AlgoTest, you will create an "ATM Straddle Sell" strategy in which you add CE and PE legs and connect both of them via webhook. When your Supertrend Straddle strategy gives a sell signal in TradingView, AlgoTest will capture the alert and sell the ATM CE and ATM PE leg position on the broker's end. Similarly, when your strategy gives an exit alert in TradingView, AlgoTest will capture the alert and exit your entire ATM Straddle position.
#### Adding Supertrend on Straddle & Strangle indicator in TradingView
To incorporate supertrend on a Straddle/Strangle Chart, you can utilise a custom Pine Script code that we have developed. This code will display the Supretrend indicator on the chart and enable you to choose option strikes in the settings. To understand how to add the Supretrend on Straddle & Strangle Pine Script Code, available at the top of this page, in TradingView, please [click here](https://docs.algotest.in/signals/tradingview-pinescript/). Once you've added the Pine Script code in TradingView, the indicator will be visible on the chart, as illustrated in the image below.\\
Remember to click on the settings button on the indicator and choose the latest expiry and ATM strike where you want to place the supertrend indicator, as shown in the image below.
For instance, if you want to plot a supertrend on the Nifty 1st August 2024 contract 24300 CE & PE Leg, then you should set the inputs as illustrated below.
#### Creating Alerts in TradingView
Alerts in TradingView notify you when entry or exit conditions are met. We'll set up alerts for our entry and exit conditions.
- Assume we want to automate the Supertrend Straddle Strategy on the 5-minute chart. So we will open the Nifty 5 Minute chart in TradingView as shown in the image below. You can choose any time frame you prefer.
- To create an alert, click on the "Add Alert" button as shown in the image below.
- We need to create an alert for two conditions: Short Entry and Short Exit. We'll start by setting up an alert for the Short Entry condition, as illustrated in the image below.
- Similarly, we will create another alert i.e. Short Exit as shown in the image below.
- Now you will be able to view these alerts in the alert section as shown in the image below.
As we have created our 2 alerts. Now we need to connect these alerts with AlgoTest for automation. So when the Supertrend Straddle Short entry condition is met, an alert will be generated in TradingView and it will be executed automatically on the broker end by AlgoTest. Similarly, when the Exit alert is generated it should automatically exit our entry position on the broker's end.
#### Connecting Alerts with AlgoTest
We can connect TradingView Alerts with AlgoTest via webhooks. Follow some simple steps as shown below.
- Launch a new browser tab. In this new tab, navigate to the [AlgoTest](https://algotest.in) website and log in.
- Once logged in, find and choose the 'Signals' feature of AlgoTest, as seen in the figure below.
Choose 'New Signal' and the 'TradingView Indicator' option.
- There are now two options available to you:
1\. 'Live Deployment'
2\. 'Forward Test'
Now, we will briefly explain the above options.
Firstly, let me explain the word 'Deployment'. 'Deploying a stratеgy' mеans to apply thе stratеgy in thе actual stock markеt.
**What does Live Dеploymеnt mеan?**
This option allows you to deploy your trading strategy in the live market. Whеn you choosе this option, AlgoTеst monitors thе strategy entry and exit conditions in real-time and as soon as an alert comes from TradingView it will execute the order in your broker terminal.
**What does the Forward Test mean?**
Forward tеsting or paper trading means trading with virtual money using LIVE markеt data. You can see your trades and PnL in AlgoTest but you will not need any broker for forward testing.
If you want to use this strategy in a live trading environment, select 'Live Deployment.' If you'd rather paper trade at first, select 'Forward Test.' Please keep in mind that the methods for linking live and forward trading are the same.
- Click 'Create Strategy'. Now we have to create a strategy in which we will add a Nifty 24300 CE and Nifty 24300 PE Leg Sell Position.
- Configure the 24300 CE leg in leg builder as shown in the image below and click on add leg.
**Important Strategy Specifications:**
- Nifty Index
- Time of Entry: 9:16 (This implies that our strategy will start responding to alerts from TradingView only after the chosen entry time, in this example, 9:16. Please remember that this timing does not correspond to the execution at 9:16.)
- Time of Exit: 3:15 (Our strategy will no longer respond to the TradingView alerts after 3:15. Any alert generated after this time will not be considered. Until 3:15, the strategy will only respond to TradingView alerts.)
Due to the presence of an exit condition, we have not included a stop-loss in the strategy. You, on the other hand, have the option to include one if you wish.
- Now you can see Leg1 is added under Strategy Legs as shown in the image below.
- Similarly, we will also add another leg, i.e., the 24300 PE leg in the leg builder. So there will be a total of two legs in this strategy. If a sell signal comes from TradingView, it will execute both the ATM CE and PE legs. After this, click on the "Save and Continue" button.\\
- Now, name the strategy. You will be asked to select your broker from the options shown in the image. Choose your preferred broker.
- It will ask for execution parameters, We'll give you recommendations for the best execution. If you don't want to get into the specifics, just use the settings shown in the image below for both legs of your strategy. You can read about execution settings [here](https://docs.algotest.in/execution-settings/).
After you've finished customising these options, click 'Save Settings, and Continue.'
- You can name the entry alert 'Strategy Entry' (or any other name you like). Now, as seen in the figure below, copy the JSON Block code using the copy icon. We need to put this JSON Block in the TradingView entry alert.
- Return to the TradingView tab and click on the settings button on our entry alert as shown in the image below.
- Paste the JSON code that we copied from AlgoTest in the Message box of the alert as shown in the image below. After pasting the JSON code in the message box, we need to copy the webhook URL from AlgoTest and paste it into the webhook URL field of the same alert.\\
- Navigate to the AlgoTest tab and click 'I have pasted.' The webhook URL will be shown, along with a 'Copy' button. Click 'Copy,' as seen in the figure below. This webhook URL must be pasted into the 'Notification' page we accessed in the previous step.
- Then, as seen in the figure below, enter the copied Webhook URL into the 'Webhook URL' space under the 'Notification' tab and click on the Create button. If the Webhook URL is already filled in, please be sure to clear it before inserting the copied URL.
- Our TradingView Entry alert has now been successfully established. The next step is to set up an exit alert. Return to the AlgoTest page, and you'll see an option for adding an exit alert (optional), as seen in the image below.
- Click 'Add Exit Alert,' as seen in the figure above.
\-Give it a distinct name and save the alert configuration.
\-Then you'll notice a JSON block message. Make a copy of this message.
\-Go back to the TradingView tab.\
We had already created an exit alert in TradingView. We need to paste this JSON code in the message box of the exit alert.
- Paste the JSON Code in the message box of the exit alert as shown in the image below.\\
- Now we need to copy the webhook URL from AlgoTest and paste that into the exit alert. To copy the webhook URL from AlgoTest, go to the AlgoTest tab, click on "I have pasted" and copy the webhook URL as shown in the image below.
- Paste it into the notification tab's 'Webhook URL' option in the alert, just as we did when establishing the entry alert. Click on the save button.
- Finally, return to the AlgoTest page and click on 'Start Listening,' as seen in the figure below by the green marker.
- Your strategy will show up as "listening" on the SIGNAL tab of AlgoTest if all the stages have been followed successfully, as seen in the screenshot below.
Our strategy is now active and prepared to execute the trade in case any alerts are generated in TradingView by the Supertrend Straddle/Strangle indicator according to our strategy conditions.
---
// File: signals/famous-strategies/vwap-straddle
import Iframe from "../../../src/components/Iframe";
# VWAP on Straddle & Strangle Strategy
:::warning
These strategies are for demonstration purposes only and are not intended for actual trading. AlgoTest is not responsible for any profit or loss arising from the use of these sample strategies.
:::
## FREE VWAP on Straddle & Strangle Pinescript
:::info
To learn how to add this pinescript in TradingView, [click here.](https://docs.algotest.in/signals/tradingview-pinescript/)
:::
```ts showLineNumbers
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © AlgoTest
//@version=5
indicator("VWAP on Straddle & Strangle", overlay = false)
var bool first = true
var strike_gap = map.new()
if first
first := false
strike_gap.put("NIFTY", 50)
strike_gap.put("BANKNIFTY", 100)
strike_gap.put("FINNIFTY", 50)
strike_gap.put("MIDCPNIFTY", 25)
spot = input.string( "NIFTY" , title = "Spot Symbol", options = ["NIFTY","BANKNIFTY", "FINNIFTY", "MIDCPNIFTY"], group = "Index")
tooltip_day = "Enter the day of the expiry. Add 0 infront, if day is in single digit. For eg : 05 instead of 5"
tooltip_month = "Enter the month of the expiry. Add 0 infront, if month is in single digit. For eg : 06 instead of 6"
tooltip_year = "Enter the year of the expiry. Use last digit of the year. For eg : 24 instead of 2024"
_day = input.string( "11" , title = "Expiry Day", tooltip = tooltip_day, group="Expiry Date")
_month = input.string( "07" , title = "Expiry Month", tooltip = tooltip_month, group="Expiry Date")
_year = input.string( "24" , title = "Expiry Year", tooltip = tooltip_year, group="Expiry Date")
tooltip_ = "You can select any Strike, you can also have VWAP on Straddle, Strangle"
strike_ce = input.int(24300, "Call Strike", tooltip = tooltip_, group = "Select Strike")
strike_pe = input.int(24300, "Put Strike", tooltip = tooltip_, group = "Select Strike")
var string symbol_CE = spot+_year+_month+_day+"C"+str.tostring(strike_ce)
var string symbol_PE = spot+_year+_month+_day+"P"+str.tostring(strike_pe)
[call_open, call_high, call_low, call_close] = request.security( symbol_CE, timeframe.period , [open, high, low, close] )
[put_open, put_high, put_low, put_close] = request.security( symbol_PE, timeframe.period , [open, high, low, close] )
call_volume = request.security( symbol_CE, timeframe.period , volume )
put_volume = request.security( symbol_PE, timeframe.period , volume )
straddle_open = call_open + put_open
straddle_close = call_close + put_close
straddle_high = math.max(straddle_open, straddle_close)
straddle_low = math.min(straddle_open, straddle_close)
straddle_volume = call_volume + put_volume
var float sumPriceVolume = 0.0
var float sumVolume = 0.0
var float vwap = 0.0
if (dayofweek != dayofweek[1])
sumPriceVolume := 0.0
sumVolume := 0.0
vwap := 0.0
sumPriceVolume += straddle_close * straddle_volume
sumVolume += straddle_volume
vwap := sumPriceVolume / sumVolume
plotcandle ( straddle_open , straddle_high , straddle_low , straddle_close , title = "Straddle" , color = straddle_close > straddle_open ? color.green : color.red )
// vwap = ta.vwap(straddle_close)
plot ( vwap , title = "VWAP on Straddle" , color = color.blue , linewidth = 2 )
entry = straddle_close < vwap and straddle_close[1] >= vwap[1]
exit = straddle_close >= vwap and straddle_close[1] < vwap[1]
plotshape(exit, title = "Exit", text = 'Exit', style = shape.labeldown, location = location.top, color= color.red, textcolor = color.white, size = size.tiny)
plotshape(entry, title = "Entry", text = 'Entry', style = shape.labelup, location = location.bottom, color= color.green, textcolor = color.white, size = size.tiny)
alertcondition(exit, "Exit", "Exit")
alertcondition(entry, "Entry", "Entry")
```
## How to Automate VWAP Straddle Option Selling Strategy
This document explains the automation of the "VWAP Straddle Strategy," a technical analysis method created to capture theta on expiry days. The strategy uses the Volume Weighted Average Price (VWAP) indicator to pinpoint potential entry and exit points for trades on a Straddle/Strangle chart.
## What is the VWAP Straddle Strategy?
The VWAP Straddle strategy uses the Volume Weighted Average Price (VWAP) technical indicator to spot opportunities for selling straddle or strangle options to capture theta on expiry days. VWAP calculates the average price of a stock based on its trading volume and helps smooth out price fluctuations, revealing the trend of theta.
This strategy is used for intraday trading by plotting the VWAP indicator on a Straddle/Strangle chart. When a 1-minute candle closes below VWAP, the straddle is shorted, and when a 1-minute candle closes above VWAP, the short straddle position is exited. You can also use a different time frame according to your preference.
Selecting a timeframe for a strategy is very important. Whether you choose shorter timeframe candles, such as 1, 2, or 5 minutes, or opt for a higher timeframe, like 10 or 15 minutes, it can affect your strategy in both good and bad ways. Let's delve into how different timeframes affect your strategy.
| Pros & Cons | Smaller Time Frame (1 minute to 5 minutes) | Higher Time Frame (10-15 minutes and above) |
| :---------------- | :------------------------------------------------------------------------------------------------------------------------------ | :--------------------------------------------------------------------------------------------------------------------------------- |
| Entry & Exit | Using a smaller time frame can provide early entry & exits which helps in targeting a big reward compared to a small stoploss. | Using a higher time frame may result in delayed entry, but it can improve signal accuracy. |
| Risk Reward | Using a smaller timeframe offers a better risk reward opportunity because of early entry, leading to a smaller stop loss. | Using a higher time frame gives a moderate risk reward opportunity as entry is a little bit late, resulting in a bigger stop loss. |
| Accuracy | Accuracy will not be good with a smaller time frame due to many false signals. | Accuracy will be better with a higher time frame as there are fewer but better signals. |
| Number of Trades | Number of Trades is higher with a smaller time frame which may result in higher charges. | Number of trades is lower with a higher time frame |
| Risk of Loss | High risk of loss is possible with a smaller time frame due to many small losses. | Moderate risk of loss is possible with a higher time frame due to fewer but larget losses. |
| Market Conditions | Works well in a low-volatility market. | Can perform effectively in both low-volatility and high-volatility markets. |
### The Power of the VWAP
Imagine VWAP as a dynamic line on your trading chart. When the price is above VWAP, it often suggests that the price is in an uptrend and there is a high possibility that it will further go up. When the price is below VWAP, it suggests that the price is in a downtrend and there is a high possibility that it will further go down.
The VWAP Straddle strategy is a theta eater strategy based on the logic that if a straddle/strangle combined price is below VWAP then there is a high possibility that it will go further down to zero. Thus, in the VWAP Straddle strategy, we look for the 1-minute candle to close below VWAP on the straddle/strange chart. You can choose any other time frame as per your preference.
This strategy capitalises on situations where the price seems to be losing the momentum of an uptrend and moves to a downtrend. We will look for a candle to close below VWAP to initiate short trades, aiming to profit if the price continues its downward journey.
### Spotting Your Entry: The Entry Candle
Our strategy hinges on a specific type of price action on a straddle or strangle chart -- the Entry candle. This isn't a fancy candlestick pattern; it's simply a candle that meets the following criteria:
#### Price Position:
The opening of the 1-minute candle should be above VWAP and the close of the same 1-minute candle should be below VWAP on a straddle/strangle chart as shown in the image below.\
The opening price of the 1-minute candle should be above VWAP, and the closing price of the same 1-minute candle should be below VWAP on a straddle/strangle chart, as shown in the image below.
As shown in the image above, this is a straddle chart of Nifty 28900 CE and 28900 PE. When the highlighted candle closed below the VWAP, it was time to short 28900 CE and 28900 PE.
### Exiting Gracefully: Stop-Loss and Take Profit
No trading strategy is complete without a solid risk management plan. Here's how the VWAP Straddle strategy incorporates stop-loss and take-profit orders:
- Stop-Loss: To minimise potential losses, we will close our Nifty ATM Straddle position if any 1-minute candle closes above VWAP, as depicted in the image below.
- Take-Profit: Since we employ this strategy on expiry days, our goal is to collect the entire premium of the straddle. Therefore, we anticipate that the value of the straddle will ultimately dwindle to 0. Consequently, we will close our positions at 03:29 on the same day.
## Automating VWAP Straddle Strategy on AlgoTest
TradingView has a feature called Alerts, which allows you to set up notifications for your trading strategies. For example, if you want to sell an ATM Straddle when our VWAP Straddle Indicator gives a Sell Signal, you can create an alert for that. Once the strategy conditions are met, you will receive an alert via SMS, email, or mobile notification. You can then manually execute the trade on your broker's platform.
Alternatively, if you prefer automation, you can use AlgoTest's Signals to automatically execute the trade based on the alert. You just need to set up the alert on TradingView and link it with AlgoTest Signals to automate your indicator-based strategy.
### Requirements
#### TradingView Essential Plan
You should have a minimum [TradingView Essential Plan](https://in.tradingview.com/pricing/#plans) activated on your TradingView account to use AlgoTest Signal.
#### AlgoTest Signals Plan
You should have a [Signals Plan](https://algotest.in/#pricing) activated on your AlgoTest account.
#### Broker Connect with AlgoTest
You need to connect your broker with AlgoTest to use AlgoTest Signal. To connect your broker with AlgoTest [:click
here.](https://docs.algotest.in/category/broker-setup/)
#### Pine Script Code
You will need a Pine Script Code that can generate buy or sell signals as per your conditions in AlgoTest. You can get this code on top of this page.
### Connecting VWAP Straddle Indicator with AlgoTest
To automate the VWAP Straddle Strategy on AlgoTest, you first need to create alerts in TradingView. Then, these alerts can be used to connect with AlgoTest via a webhook. You will create alerts in TradingView, which will generate entry and exit alerts based on our strategy conditions. Then, in AlgoTest, you will create an "ATM Straddle Sell" strategy in which you add CE and PE legs and connect both of them via webhook. When your VWAP Straddle strategy gives a sell signal in TradingView, AlgoTest will capture the alert and sell the ATM CE and ATM PE leg position on the broker's end. Similarly, when your strategy gives an exit alert in TradingView, AlgoTest will capture the alert and exit your entire ATM Straddle position.
##### Adding VWAP Straddle indicator in TradingView
To incorporate VWAP on a Straddle/Strangle Chart, you can utilise a custom Pine Script code that we have developed. This code will display the VWAP indicator on the chart and enable you to choose option strikes in the settings. To understand how to add the VWAP Straddle Pine Script Code, available at the top of this page, in TradingView, please [click here](https://docs.algotest.in/signals/tradingview-pinescript/). Once you've added the Pine Script code in TradingView, the indicator will be visible on the chart, as illustrated in the image below.
Remember to click on the settings button on the indicator and choose the latest expiry and ATM strike where you want to place the VWAP indicator, as shown in the image below.
For instance, if you want to plot VWAP on the Nifty 1st August 2024 contract 24300 CE & PE Leg, then you should set the inputs as illustrated below.
##### Creating Alerts in TradingView
Alerts in TradingView notify you when entry or exit conditions are met. We'll set up alerts for our entry and exit conditions.
- Assume we want to automate the VWAP Straddle Strategy on the 5-minute chart. So we will open the Nifty 5 Minute chart in TradingView as shown in the image below. You can choose any time frame you prefer.
- To create an alert, click on the "Add Alert" button as shown in the image below.
- We need to create an alert for two conditions: Short Entry and Short Exit. We'll start by setting up an alert for the Short Entry condition, as illustrated in the image below.
- Similarly, we will create another alert i.e. Short Exit as shown in the image below.
- Now you will be able to view these alerts in the alert section as shown in the image below.
As we have created our 2 alerts. Now we need to connect these alerts with AlgoTest for automation. So when the VWAP Straddle Short condition is met, an alert will be generated in TradingView and it will be executed automatically on the broker end by AlgoTest. Similarly, when the Exit alert is generated it should automatically exit our entry position on the broker's end.
##### Connecting Alerts with AlgoTest
We can connect TradingView Alerts with AlgoTest via webhooks. Follow some simple steps as shown below.
- Launch a new browser tab. In this new tab, navigate to the [AlgoTest](https://algotest.in) website and log in.
- Once logged in, find and choose the 'Signals' feature of AlgoTest, as seen in the figure below.
Choose 'New Signal' and the 'TradingView Indicator' option.
- There are now two options available to you:
1\. 'Live Deployment'
2\. 'Forward Test'
Now, we will briefly explain the above options.
Firstly, let me explain the word 'Deployment'. 'Deploying a stratеgy' mеans to apply thе stratеgy in thе actual stock markеt.
What does Live Dеploymеnt mеan?
This option allows you to deploy your trading strategy in the live market. Whеn you choosе this option, AlgoTеst monitors thе strategy entry and exit conditions in real-time and as soon as an alert comes from TradingView it will execute the order in your broker terminal.
What does the Forward Test mean?
Forward tеsting or paper trading means trading with virtual money using LIVE markеt data. You can see your trades and PnL in AlgoTest but you will not need any broker for forward testing.
If you want to use this strategy in a live trading environment, select 'Live Deployment.' If you'd rather paper trade at first, select 'Forward Test.' Please keep in mind that the methods for linking live and forward trading are the same.
- Click 'Create Strategy'. Now we have to create a strategy in which we will add a Nifty 24300 CE and Nifty 24300 PE Leg Sell Position.
- Configure the 24300 CE leg in leg builder as shown in the image below and click on add leg.
Important Strategy Specifications:
- Nifty Index
- Time of Entry: 9:16 (This implies that our strategy will start responding to alerts from TradingView only after the chosen entry time, in this example, 9:16. Please remember that this timing does not correspond to the execution at 9:16.)
- Time of Exit: 3:15 (Our strategy will no longer respond to the TradingView alerts after 3:15. Any alert generated after this time will not be considered. Until 3:00, the strategy will only respond to TradingView alerts.)
Due to the presence of an exit condition, we have not included a stop-loss in the strategy. You, on the other hand, have the option to include one if you wish.
- Now you can see Leg1 is added under Strategy Legs as shown in the image below.
- Similarly, we will also add another leg, i.e., the 24300 PE leg in the leg builder. So there will be a total of two legs in this strategy. If a sell signal comes from TradingView, it will execute both the ATM CE and PE legs. After this, click on the "Save and Continue" button.\\
- Now, name the strategy. You will be asked to select your broker from the options shown in the image. Choose your preferred broker.
- It will ask for execution parameters, We'll give you recommendations for the best execution. If you don't want to get into the specifics, just use the settings shown in the image below for both legs of your strategy. You can read about execution settings [here](https://docs.algotest.in/execution-settings/).
After you've finished customising these options, click 'Save Settings, and Continue.'
- You can name the entry alert 'Strategy Entry' (or any other name you like). Now, as seen in the figure below, copy the JSON Block code using the copy icon. We need to put this JSON Block in the TradingView entry alert.
- Return to the TradingView tab and click on the settings button on our entry alert as shown in the image below.
- Paste the JSON code that we copied from AlgoTest in the Message box of the alert as shown in the image below. After pasting the JSON code in the message box, we need to copy the webhook URL from AlgoTest and paste it into the webhook URL field of the same alert.\\
- Navigate to the AlgoTest tab and click 'I have pasted.' The webhook URL will be shown, along with a 'Copy' button. Click 'Copy,' as seen in the figure below. This webhook URL must be pasted into the 'Notification' page we accessed in the previous step.
- Then, as seen in the figure below, enter the copied Webhook URL into the 'Webhook URL' space under the 'Notification' tab and click on the Create button. If the Webhook URL is already filled in, please be sure to clear it before inserting the copied URL.
- Our TradingView Entry alert has now been successfully established. The next step is to set up an exit alert. Return to the AlgoTest page, and you'll see an option for adding an exit alert (optional), as seen in the image below.
- Click 'Add Exit Alert,' as seen in the figure above.
\-Give it a distinct name and save the alert configuration.
\-Then you'll notice a JSON block message. Make a copy of this message.
\-Go back to the TradingView tab.\
We had already created an exit alert in TradingView. We need to paste this JSON code in the message box of the exit alert.
- Paste the JSON Code in the message box of exit alert as shown in the image below.
- Now we need to copy the webhook URL from AlgoTest and paste that into the exit alert. To copy the webhook URL from AlgoTest, go to the AlgoTest tab and click on "I have pasted" and copy the webhook URL as shown in the image below.
- Paste it into the notification tab's 'Webhook URL' option in the alert, just as we did when establishing the entry alert. Click on the save button.
- Finally, return to the AlgoTest page and click on 'Start Listening,' as seen in the figure below by the green marker.
- Your strategy will show up as "listening" on the SIGNAL tab of AlgoTest if all the stages have been followed successfully, as seen in the screenshot below.
Our strategy is now active and prepared to execute the trade in case any alerts are generated in TradingView by the VWAP Straddle indicator according to our strategy conditions.
---
// File: trade-mtm-analysis/browser-extension
# Daily Trades Analysis - Browser Extension
The Daily Trades Analysis Extension by AlgoTest is designed to help traders gain insights into their trading activities with ease.
Available for both **Chrome** and **Firefox**.
***
:::note
**This extension is FREE for everyone.**
***
You don't have to be an [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) trader to use it.
:::
:::info
**Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
**Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/)
:::
## **Supported Brokers**
Currently, this feature is compatible with brokers who provide timely trade files. For now, traders using Generic Broker, 5 Paisa, IIFL, or Wisdom as their broker can use this feature for a breakdown of their trades.
- **5 Paisa**
- **IIFL**
- **Wisdom**
More brokers are coming in the near future.
## **How to Use AlgoTest's Chrome Extension**
There are two simple steps involved in using the Chrome Extension:
1. Install the Daily Trades Analysis Chrome Extension by clicking on this link- [click here ](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
2. Click on add to chrome button to install the Chrome extension.
### Steps for **5paisa** users
1. Login to your 5Paisa account by following this link- [click here](https://xtsmum.5paisa.com/)
2. Once you are on the dashboard, click on the View MTM Graph button on the top.
3. It will show you a pop up named "Do you want to export your trade book to AlgoTest?"
Click on Yes.
1. Once you click on yes, it will show you your MTM graph on the AlgoTest site.
### Steps for **IIFL** users
1. Login to your IIFL account by following this link- [click here](https://ttblaze.iifl.com/#!/app)
2. Once you are on the dashboard, click on the View MTM Graph button on the top.
### Steps for **Wisdom** users
1. Login into your Wisdom account by following this link - [click here ](https://trade.wisdomcapital.in/#!/app)
2. Once you are on the dashboard, click on the View MTM Graph button on the top.
3. It will show you a pop up named "Do you want to export your trade book to AlgoTest?"
Click on Yes.
1. Once you click on yes, it will show you your mtm graph on the AlgoTest site.
:::info
**Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
**Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/)
:::
## **Key Features**
### MTM Graph Generator
Visualise your daily profit and loss with a detailed MTM graph.
### See How Your PnL Reacted to Spikes
Understand how your profit and loss (PnL) is impacted by market spikes and fluctuations.
Monitor your PnL as it reacts to injections, spikes, and other market movements.
### Instrument-Wise Breakdown
Get a detailed breakdown of your trades by instrument.
### Brokerage Details
View the brokerage fees incurred for each trade to assess net profitability.
## Things You Can Do with AlgoTest's Daily Trade Analysis
### Generate an MTM Graph for your trades
Track real-time performance of your trades.
### Brokerage Details
Analyse the cost associated with your trades.
### Check Performance for Multiple Instruments
Compare performance across different instruments.
:::info
**Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
**Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/)
:::
---
// File: trade-mtm-analysis/index
Introducing the [Daily Trades Analysis](https://algotest.in/trade-file-mtm?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=mtm\&utm_term=trade-file) on [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest), an intuitive algo-trading platform.
With the [Daily Trades Analysis](https://algotest.in/trade-file-mtm?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=mtm\&utm_term=trade-file), you can upload your trade files and generate a detailed Mark-to-Market (MTM) graph, along with a comprehensive breakdown of your trades and the brokerage fees.
Read more about the use cases of this feature on our [blog.](https://algotest.in/blog/daily-trade-file-analysis-mtm/)
## Brokers supported by Daily Trades Analysis
Currently, this feature is compatible with brokers who provide timely trade files. For now, traders using Generic Broker, Finvasia, IIFL, or Kotak as their broker, can upload their trade books for a comprehensive breakdown of their trades.
- Generic Broker
- Finvasia
- IIFL
- Kotak Neo
## How to Use the Daily Trades Analysis
There are **two simple steps** involved in using the Trade MTM Analysis:
1. Download the Tradebook from your broker's website.
2. Upload the Tradebook to the [Daily Trades Analysis.](https://algotest.in/trade-file-mtm?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=mtm\&utm_term=trade-file)
## Steps to Download the Tradebook from Your Broker:
### Tradebook in Generic Broker
1. Login to your Generic Broker account.
2. Once you are on the dashboard, click on the 'Orders' button in the navbar, as highlighted. This will take you to the Orders page.
3. Once you are on the Orders page, click on the 'Trades' drop-down.
4. Once the drop-down opens, you will see a few options on the right. Click on the 'download' button. This will download a .csv file containing the trades.
### Tradebook in Finvasia
1. Login to your Shoonya by Finvasia account, by clicking on this link - [Shoonya by Finvasia.](https://trade.shoonya.com/)
2. Once you are on the dashboard, click on the 'Orders' button in the navbar.
3. Once the 'Orders' tab is opened, click on the 'Tradebook' button. This will open up your trade book.
4. Once the Tradebook is opened, click on this download button in the right-hand corner, to download your tradebook.
### Tradebook in IIFL
1. Login to your IIFL account by clicking on this link - [IIFL.](https://ttblaze.iifl.com/#!/app)
2. Once you are on the dashboard, click on the 'Trade book' button at the bottom. Once the Tradebook tab is opened, click on the hamburger on the right.
3. Once the Hamburger opens, choose the 1st option - "export all data as csv". This will download a .csv file containing the trades.
### Tradebook in Kotak
1. Login to your Kotak Neo account by clicking on this link - [Kotak Neo.](https://ntrade.kotaksecurities.com/Login)
2. Once you are on the home page, click on 'Orders'.
3. Under the Orders tab, go to the 'Closed' section
4. Now click on the kebab in the right corner.
5. Now in the drop-down list, choose the first option, "Download as Excel." This will download a .csv file containing the trades.
## Steps to Upload the Tradebook to AlgoTest
1. Go to the AlgoTest website using this link [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
2. If you are an old user, log in by clicking on the Login button on the top-right corner.
:::note
**You don't need an AlgoTest account to use the Trade MTM analyser.**
:::
If you are a new user, sign up by clicking [here](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) or on the Signup button on the top-right corner.
1. Once you are on the AlgoTest dashboard, click on your profile button on the top-right corner, as shown.
2. From the drop-down list, click on the 'Trade MTM Analysis' button. This will open up the Daily Trades Analysis page.
3. On the Trade MTM Analysis page, click on the 'Upload Tradebook Now' button. Make sure to follow the instructions written above on where to download the Tradebook from for your particular broker.
4. On the Popup, choose your broker from the highlighted drop-down list.
:::note
We currently support only four brokers - **Generic Broker**, **Finvasia**, **IIFL**, and **Kotak Neo**.
:::
1. Click on Browse files and select your downloaded .csv file. Note that the file selected should be of the same broker that you chose in the 6th step. Once you have uploaded the file, click on 'Analyse' button to see a comprehensive analysis of your trades.
## Things to keep in mind
Once you have downloaded the trade book, you can open the file (in your app of choice like Excel, Google Sheets, etc.) to check it out. However, **DO NOT SAVE THIS FILE** after opening, as saving the file changes the date-time format of the orders.
The default date-time format of your computer system will be used in your orders, which may raise errors.
:::warning
Under the current system limitations, we want the orders to be in their original format. Hence, after downloading and opening the trade book csv file, do not save it, to avoid any errors.
:::
---
// File: youtube-playlist/index
import Iframe from "../../src/components/Iframe";
# Youtube Tutorial Playlists
Our content team is constantly working hard to make sure your queries are answered and you understand how to use our platform. In order to do so we have compiled a list of videos that might be helpful for you.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
## English Tutorials
VIDEO
## हिंदी ट्यूटोरियल
VIDEO ![]({require("/features/backtestingterms.png").default})
![]({require("/features/return-max.png").default})
![]({require("/img/screenshot3-2026-01-29-175422.png").default})
![]({require("/features/comparison2.png").default})
![]({require("/features/comparison3.png").default})
![]({require("/features/comparison4.png").default})
![]({require("/features/comparison5.png").default})
![]({require("/features/comparison6.png").default})
![]({require("/features/comparison7.png").default})
![]({require("/features/in-01.png").default})
![]({require("/features/in-02.png").default})
![]({require("/features/in-03.png").default})
![]({require("/features/in-04.png").default})
![]({require("/features/monte-carlo-1.png").default})
![]({require("/features/monte-carlo-2.png").default})
![]({require("/features/monte-carlo-3.png").default})
![]({require("/features/index_algotest.png").default})
![Index selection]({require("/img/screenshot-2026-01-14-112044.png").default})
![]({require("/features/instrument-settings-underlying-from.png").default})
![]({require("/features/entrytime1.png").default})
![]({require("/features/entrytime2.png").default})
![]({require("/features/exittime1.png").default})
![]({require("/features/exittime2.png").default})
***
### Momentum Based on Combined Premium
You can now configure momentum detection based on the **total premium of all legs (excluding lazy legs)**. This allows you to enter a trade when the combined premium moves **up or down** by a certain number of points or percentage from the strategy's start premium.
> Only buy/sell direction is considered: **lot sizes and ratios are ignored**. Combined premium is calculated using 1 lot for each leg.
#### Available Configurations:
1. **Momentum Up (Points)**\
*Example:* If combined premium = `200`, and up move = `10 pts` → Entry is triggered when premium **≥ 210**
2. **Momentum Down (Points)**\
*Example:* If combined premium = `200`, and down move = `10 pts` → Entry is triggered when premium **≤ 190**
3. **Momentum Up (Percentage)**\
*Example:* If combined premium = `200`, and up move = `10%` → Entry is triggered when premium **≥ 220**
4. **Momentum Down (Percentage)**\
*Example:* If combined premium = `200`, and down move = `10%` → Entry is triggered when premium **≤ 180**
#### Evaluation Options:
- You can choose to check this condition based on:
- **Live LTP**
- **Candle Close**
***
### Different Cases:
- **If combined premium is close to zero:**\
No special handling required, premium moves will be evaluated as usual.
- **If strategy legs have Simple Momentum or ORB:**\
These settings are **disabled** when combined premium momentum is enabled.
- **Re-Entry After Stop Loss / Target Hit:**
- **ASAP-based Re-entry:** Combined premium condition is **not checked**
- **Momentum-based Re-entry:** Combined premium condition **is checked**
- **ASAP or Momentum Reversal:**\
Same logic as above.
- **Square-off & Leg Re-entry:**\
No change, works as per usual configuration.
- **Lazy Legs:**\
Not included in combined premium calculation. Lazy legs can still have their own Simple Momentum or ORB logic independently.
***
**Examples:**
- **Sell Straddle (98 CE, 112 PE)**\
`+98 + 112 = 210`\
→ 5-point up move: `215`, 5-point down move: `205`
- **Buy Straddle (-98 CE, -112 PE)**\
`-98 - 112 = -210 → abs(210)`\
→ 5% up move: `220.5`, 5% down move: `199.5`
- **Buy Butterfly (-310 ITM CE, +200 ATM CE x2, -90 OTM CE)**\
`-310 + 200*2 - 90 = 0 → abs(200)`\
→ 5-point up: `205`, 5% down: `190`
### Example: Iron Condor Strategy
Your strategy consists of 4 legs:
| # | Strike | Option Type | Action | Premium |
| - | ------ | ----------- | ------ | ------- |
| 1 | 19600 | PUT | Sell | ₹55 |
| 2 | 19500 | PUT | Buy | ₹30 |
| 3 | 19800 | CALL | Sell | ₹55 |
| 4 | 19900 | CALL | Buy | ₹35 |
***
### Combined Premium Calculation
Combined Premium = Sell Legs - Buy Legs = (₹55 + ₹55) - (₹30 + ₹35) = ₹45
***
### Setting Overall Momentum
If you set **Overall Momentum = +10 points**, AlgoTest will **enter the trade only if the combined premium rises from ₹45 to ₹55**.
> Until this condition is met, the trade will **not** be executed.
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/leg-builder
import Iframe from "../../../../src/components/Iframe";
# Leg Builder for AlgoTrading
**AlgoTest’s [Leg Builder ](https://algotest.in/feature/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=live)helps you create multi-leg options and futures strategies without coding.** You can choose instrument type (F\&O), position (buy/sell), expiry (weekly/monthly/next monthly), and advanced strike selection methods like ATM/OTM, premium-based strikes, delta range, and straddle width.
This makes it easy to build, backtest, and forward test strategies with realistic trading logic before going live.
***
**For example** - if you want to create an ATM Buy position of current week, next week, or monthly expiry with 1 Lot, you can do that using this feature.
![]({require("/features/legbuilder0.png").default})
![]({require("/features/legbuilder2.png").default})
![]({require("/features/legbuilder3.png").default})
![]({require("/features/legbuilder4.png").default})
![]({require("/features/legbuilder5.png").default})
![]({require("/features/legbuilder6.png").default})
![]({require("/features/legbuilder7.png").default})
![]({require("/features/legbuilder8.png").default})
![]({require("/features/legbuilder9.png").default})
![]({require("/features/legbuilder10.png").default})
![]({require("/features/legbuilder11.png").default})
![]({require("/features/legbuilder12.png").default})
![]({require("/features/legbuilder13.png").default})
![]({require("/features/legbuilder14.png").default})
![]({require("/features/legbuilder15.png").default})
![]({require("/features/next_monthly_futures.png").default})
![]({require("/features/next_monthly_futures_1.png").default})
![Strike selection]({require("/img/screenshot2-2026-01-14-123540.png").default})
### Strike Type
**This feature enables you to select option strike based on their type.**
***
**For example**, you can select ATM, OTM, ITM, etc. We have 30 OTMs available now.
![]({require("/features/strike-type.png").default})
![]({require("/features/strike-type-2.png").default})
![]({require("/features/premium-range-1.png").default})
![]({require("/features/premium-range-2.png").default})
![]({require("/features/closest-premium-1.png").default})
![]({require("/features/closest-premium-2.png").default})
![]({require("/features/premium-geq-1.png").default})
![]({require("/features/premium-geq-2.png").default})
![]({require("/features/straddle-width-1.png").default})
![]({require("/features/straddle-width-2.png").default})
![]({require("/features/straddle-width-3.png").default})
![]({require("/features/atm-perc-1.png").default})
![]({require("/features/atm-perc-2.png").default})
![]({require("/features/percent-of-atm.png").default})
![]({require("/features/synthetic-future1.png").default})
![]({require("/features/synthetic-future2.png").default})
![]({require("/features/atm-premium1.png").default})
![]({require("/features/atm-premium2.png").default})
![]({require("/features/delta_closest.png").default})
![]({require("/features/delta_range.png").default})
There are many features available under Simple momentum, you can use it to try different variations of momentum as shown in the image below.
***
### **Points (Pts) ↑**
:::info
This option enables you to take an entry only if option premium price moves up by X points after the entry conditions.
***
:::
**Example**: Assume you created a strategy
***
Index : Nifty
***
Entry : 09:20
***
Strike : ATM CE
***
Positon : Buy
***
Momentum Points Up : 15
***
- Assume at 9:20 Nifty ATM CE strike is 18500 and ATM strike premium is 200
Entry Price = 200 + 15 (Momentum Up) = 215
- So according to our momentum condition it will take entry in the 18500 CE strike only if the 18500 CE strike moves to 215. If this price doesn't come it will not take any entry.
### **Points (Pts) ↓**
:::info
This option enables you to take entry only if option premium prices move down by X points after the entry conditions.
:::
**Example**: Assume you created a strategy
***
Index : Nifty
***
Entry : 09:20
***
Strike : ATM CE
***
Positon : Sell
***
Momentum Points Up : 15
***
- Now assume that at 09:20 ATM CE strike = 200
***
Your actual stop loss = 175 (25 points)
***
TSL = 20%(entry price) - 10%(entry price)
***
TSL = 20%(200) - 10%(200)
***
TSL = 40-20
***
TSL = For 40 point move in our favor, Trail SL 20 point
**If ATM CE strike started moving in your favor:**
***
It moved to 240 , SL will be moved to 195
***
It moved to 280, SL will be moved to 215
***
And so on, it keeps on moving till our TSL hits.
### **Percentage (%) ↑**
:::info
This option enables you to take entry only if option premium price moves up by X percentage after the entry conditions.
***
:::
**Example**: Assume you created a strategy
***
Index : Nifty
***
Entry : 09:20
***
Strike : ATM CE
***
Positon : Buy
***
Momentum % Up : 15
***
- Assume at 9:20 Nifty ATM CE strike is 18500 and ATM strike premium is 200
Momentum in Points = 15 % of 200 = 30 points
Entry Price = 200 + 30 (Momentum Up) = 230
- So according to our momentum condition, it will take entry into the 18500 CE Buy Position only if the 18500 CE strike moves up to 230. If this price doesn't come, it will not take any entries.
### **Percentage (%) ↓**
:::info
This option enables you to take entry only if option premium price moves down by X percentage after the entry conditions.
:::
**Example**: Assume you created a strategy
***
Index : Nifty
***
Entry : 09:20
***
Strike : ATM CE
***
Positon : Sell
***
Momentum % Down : 15
***
- Assume at 9:20 Nifty ATM CE strike is 18500 and ATM strike premium is 200
Momentum Down in Points = 15 % of 200 = 30 points
Entry Price = 200 - 30 (Momentum down) = 170
- So according to our momentum condition, it will take entry into the 18500 CE Sell Position only if the 18500 CE strike moves down to 170. If this price doesn't come it will not take any entries.
### **Underlying Pts ↑**
:::info
This option enables you to take an entry only if the underlying price (Index Price) moves up by X points after the entry conditions.
:::
Example :- Assume you created a strategy
***
Index :- Nifty
***
Entry :- 09:20
***
Strike :- ATM CE
***
Positon :- Buy
***
Momentum Underlying Points :- 15
***
- *Assume at 9:20 Nifty spot is at 18520 Entry Price = 18520 + 15 (Momentum up) = 18535*
- *So according to our momentum condition, it will take entry only if nifty moves up to 18535 and it will select strike at the time of entry time i.e. 09:20 and entry will be taken when price reaches 18535. If this price doesn't come it will not take any entries.*
### **Underlying Pts ↓**
:::info
This option enables you to take entry only if the underlying price (Index Price) moves down by X points after the entry conditions.
***
:::
***
Example :- Assume you created a strategy
***
Index :- Nifty
***
Entry :- 09:20
***
Strike :- ATM CE
***
Positon :- Sell
***
Momentum Underlying Points :- 15
***
- *Assume at 9:20 Nifty spot is at 18520 Entry Price = 18520 - 15 (Momentum down) = 18505*
- *So according to our momentum condition, it will take entry only if the nifty moves down to 18505 and it will select strike at the time of entry time i.e. 09:20 and entry will be take when price reaches 18505, it will take entry. If this price doesn't come it will not take any entries.*
### **Underlying % ↑**
:::info
This option enables you to take an entry only if the underlying price (Index Price) moves up by X percentage after the entry conditions.
:::
**Example** :- Assume you created a strategy
***
Index :- Nifty
***
Entry :- 09:20
***
Strike :- ATM CE
***
Positon :- Buy
***
Momentum Underlying % Up :- 0.5
***
*Assume at 9:20 Nifty spot is at 18000 Momentum Up in Points = 0.5 % of 18000 = 90 points Entry Price = 18000 + 90 (Momentum up) = 18090*
*So according to our momentum condition, it will take entry only if nifty moves up to 18090 and it will select strike at the time of entry time i.e. 09:20 and will take entry when price reaches 18090. If this price doesn't come it will not take any entries.*
### **Underlying % ↓**
:::info
This option enables you to take entry only if the underlying price (Index Price) moves down by X percentage after the entry conditions.
:::
**Example** :- Assume you created a strategy
***
Index :- Nifty
***
Entry :- 09:20
***
Strike :- ATM CE
***
Positon :- Sell
***
Momentum Underlying % Down :- 0.5
***
*Assume at 9:20 Nifty spot is at 18000 Momentum down in Points = 0.5 % of 18000 = 90 points Entry Price = 18000 - 90 (Momentum up) = 17910*
*So according to our momentum condition, it will take entry only if nifty moves down to 17910 andit will select strike at the time of entry time i.e. 09:20 and it will take entry when price reaches 17910. If this price doesn't come it will not take any entries.*
:::note
Simple Momentum is available in 920 Simple but you can enable this feature in two terms only, points & percentage. Underlying points & underlying percentage isn't available in 920 Simple.
***
:::
## Stop loss
:::info
Stop-Loss is a very important tool in backtesting because you can try different variations of it to see which works best.
***
**This feature enables you to set stop-loss on individual legs with many different methods.**
:::
You can enable stop-loss feature as shown in the image below.
AlgoTest provides you many different options to define your stop loss. You can use them by selecting from the dropdown under stoploss as shown in the image below.
### **Points**
:::info
This option enables you to select your Stop-Loss on individual CE/PE legs in Points on option premium.
:::
- **Example** - *Assume you created a strategy*
***
Entry :- 09:20
***
Strike :- ATM CE
***
Positon :- Buy
***
Stop-Loss :- 30 Points
***
*Assume at 9:20 ATM strike premium is 200 Your SL will be at = 200 - 30 = 170*
**So your SL here is at 170 for ATM CE Leg, which took entry at 200.**
### **Underlying Points**
:::info
This option enables you to select your Stop-Loss index value. Assuming you are doing backtesting on Banknifty, then using this feature, you can set your SL on the Banknifty Index Value.
:::
- **Example** - *Assume you created a strategy*
***
Entry :- 09:20
***
Strike :- ATM CE
***
Positon :- Buy
***
Stop-Loss :- 80 Points on Underlying
***
*Assume at 09:20 ATM CE Strike Premium 200 At 09:20 Banknifty is at 43700 Your Stop-Loss in points = 80 points on underlying Your Stop-Loss will be at = 43700 - 80 = 43620*
**So Your Stop-Loss here is at 43620 for the ATM CE Leg which took entry at 200.**
### **Percent %**
:::info
This option enables you to select your Stop-Loss in Percentage on option premium.
:::
- **Example** - *Assume you created a strategy*
***
Entry :- 09:20
***
Strike :- ATM
***
Positon :- Buy
***
Stop-Loss :- 40%
***
*Assume at 9:20 ATM strike premium is 200 Your SL in points is = 40% of 200 = 80 points Your SL will be at = 200 - 80 = 120*
**So Your SL here is at 120 for the ATM CE Leg which got entry at 200.**
### **Underlying %**
:::info
This option enables you to select your Stop-Loss in percentage terms on the index value. Assuming you are doing backtesting on Banknifty, then using this feature, you can set your SL on Banknifty Index Value in percentage.
:::
- **Example** - *Assume you created a strategy*
***
Entry :- 09:20
***
Strike :- ATM CE
***
Positon :- Buy
***
Stop-Loss :- 1% on Underlying
***
*Assume 09:20 ATM Strike Premium 200 At 09:20 Banknifty is at 43700*
*Your Stop-Loss is = 1% of 43700 = 437 points Your Stop-Loss will be at = 43700 - 437 = 43263*
**So Your Stop-Loss here is at 43263 on the Index.**
## Delta Stop Loss
This option enables you to select your Stop Loss based on the Delta value of the option contract.
### Example - Assume you created a strategy
Entry :- 09:20
Strike :- ATM CE
Position :- Buy
Stop Loss :- Delta 10
Assume at 09:20 ATM CE Delta is 25.
Your Stop Loss Delta will be:
25 - 10 = 15
So your Stop Loss here is at Delta 15 for the ATM CE Leg which took entry at Delta 25.
### Example - Sell Position
Entry :- 09:20
Strike :- ATM CE
Position :- Sell
Stop Loss :- Delta 15
Assume at 09:20 ATM CE Delta is 25.
Your Stop Loss Delta will be:
25 + 15 = 40
So your Stop Loss here is at Delta 40 for the ATM CE Leg which took entry at Delta 25.
note
Delta value of the contract is considered in absolute terms.
Delta values are capped between 0 and 100.
## Target
Target is a very important tool in backtesting because you can try different variations of it to see which works best.
***
**This feature enables you to set a target on individual legs with many options.** You can enable target features in your strategy, as shown in the image below.
You can enable this feature as shown in the image below
AlgoTest provides you many different options to define your Target. You can use them by selecting from dropdown under target as shown in the image below
### **Points**
:::info
This option enables you to set Target for individual CE/PE legs in Points on option premium.
:::
- **Example** - *Assume you created a strategy*
***
Entry :- 09:20
***
Strike :- ATM CE
***
Positon :- Buy
***
Target :- 25 Points
***
*Assume at 9:20 ATM strike premium is 200 Your Target in points = 25 points Your Target will be at = 200 + 25 = 225*
**So Your Target here is at 225 for ATM CE Leg which has an entry price 200.**
### **Underlying Points**
:::info
This option enables you to select your target based on the Index Value in points.
***
Assuming you are doing backtesting on Banknifty, then using this feature, you can set your target on the [Banknifty Index](https://algotest.in/bankex-index-chart?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=product-feature\&utm_term=index-chart) Value in points.
:::
- **Example** - *Assume you created a strategy*
***
Entry :- 09:20
***
Strike :- ATM CE
***
Positon :- Buy
***
Target :- 50 Points on underlying
***
*Assume at 09:20 ATM CE Strike Premium 200 At 09:20 Banknifty is at 43700*
*Your Target will be at = 43700 + 50 = 43750*
**So Your Target here is at 43750 on Banknifty for ATM CE Leg which took Entry at 200.**
### **Percent %**
:::info
This option enables you to select your Target in Percentage terms on option premium value.
:::
- **Example** - *Assume you created a strategy*
***
Entry :- 09:20
***
Strike :- ATM CE
***
Positon :- Buy
***
Target :- 30%
***
*Assume at 9:20 ATM strike premium is 200 Your Target in points is = 30% of 200 = 60 points Your Target will be at = 200 + 60 = 260*
**So Your Target here is at 260 for the ATM CE Leg which got Entry at 200.**
### **Underlying %**
:::info
This option enables you to select your target in percentage terms based on the index value.
***
Assuming you are doing backtesting on Banknifty, then using this feature, you can set your target on Banknifty Index Value in percentage.
:::
- **Example** - *Assume you created a strategy*
***
Entry :- 09:20
***
Strike :- ATM CE
***
Positon :- Buy
***
Target Underlying :- 01%
***
*Assume 09:20 ATM Strike Premium 200 At 09:20 Banknifty is at 43700*
*Your Target in points is = 1% of 43700 = 437 points on underlying Your Target will be at = 43700 + 437 = 44137*
**So Your Target here is at 44137 on the Index for ATM CE Leg which entered at 200.**
## Delta Target Profit
This option enables you to select your Target based on the Delta value of the option contract.
### Example - Assume you created a strategy
Entry :- 09:20
Strike :- ATM CE
Position :- Buy
Target :- Delta 25
Assume at 09:20 ATM CE Delta is 25.
Your Target Delta will be:
25 + 25 = 50
So your Target here is at Delta 50 for the ATM CE Leg which took entry at Delta 25.
### Example - Sell Position
Entry :- 09:20
Strike :- ATM CE
Position :- Sell
Target :- Delta 15
Assume at 09:20 ATM CE Delta is 25.
Your Target Delta will be:
25 - 15 = 10
So your Target here is at Delta 10 for the ATM CE Leg which took entry at Delta 25.
*note*
Delta value of the contract is considered in absolute terms.
Delta values are capped between 0 and 100.
## Trail SL
:::info
**This feature enables you to move your actual stop loss whenever the price moves in your favor.**
***
So every time an instrument moves in your favor by X amount, it will move your Stop-Loss by Y amount. The amount can be in terms of points or percentages.
:::
You can enable this feature as shown in the image below
AlgoTest provides you many different options to define your Target. You can use them by selecting from dropdown under target as shown in the image below
### **Points**
:::info
This option enables you to move your actual stop-loss by Y Points if the instrument moves X points in your favor.
***
**For example** if you select points in Trail SL and put 10-5 as shown in the image below, it will move your stop-loss 5 points if the instrument moves 10 points in your favor.
:::
- **Example** - *Assume you created a strategy*
***
Entry :- 09:20
***
Strike :- ATM CE
***
Positon :- Buy
***
Trail SL :- 20-10 points
***
Now assume at 09:20 ATM CE strike = 200
***
Your **actual stop loss** = 175 (25 points)
***
**TSL** = 20% of 200 will be 40 points and 10% of 200 will be 20 points
***
If **ATM CE** strike started moving in your favor
***
It moved to 240 , SL will be moved to 195
***
It moved to 280, SL will be moved to 215
***
And so on, it keeps on moving till our TSL hits.
### **Percentage**
:::info
This option enables you to move your actual stop-loss by Y amount if the instrument moves X amount in percentage terms in your favor.
***
For example if you select the percentage option in Trail SL and put 10-5 as shown in the image below, it will move your stop-loss 5% if the instrument moves 10 % in your favor. Percentage is calculated on entry price and it is fixed. It don’t change according to the price change.
:::
- **Example** - *Assume you created a strategy*
***
Entry :- 09:20
***
Strike :- ATM CE
***
Positon :- Buy
***
Stop Loss :- 25 Points
***
Trail SL :- 20-10 (Percentage)
***
Now assume at 09:20 ATM CE strike = 200
***
Your actual stop loss = 175 (25 points)
***
TSL = For 20 point move in our favor, Trail SL 20 point.
***
If ATM CE strike started moving in your favor
***
It moved to 220 , SL will be moved to 190
***
It moved to 240, SL will be moved to 200
***
And so on, it keeps on moving till our TSL hits.
## Delta Trail SL
This feature enables you to move your actual Stop Loss whenever the Delta moves in your favor.
For example, if you select Delta Trail SL and put 5-5, it will move your Stop Loss by 5 Delta whenever the Delta moves by 5 in your favor.
### Example - Assume you created a strategy
Entry :- 09:20
Strike :- ATM CE
Position :- Sell
Stop Loss :- Delta 15
Trail SL :- 5-5 Delta
Assume at 09:20 ATM CE Delta is 25.
Your initial Stop Loss Delta will be:
25 + 15 = 40
If ATM CE Delta starts moving in your favor:
Delta moves to 20, SL will be moved to 35
Delta moves to 15, SL will be moved to 30
Delta moves to 10, SL will be moved to 25
And so on, it keeps on moving till our TSL hits.
*Note*
Delta value of the contract is considered in absolute terms.
Delta values are capped between 0 and 100.
Log onto [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) to get started.
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/legwise-settings
import Iframe from "../../../../src/components/Iframe";
# [Legwise Settings](https://algotest.in/feature/live?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=feature\&utm_term=live)
**Your strategy can have many legs (up to 10)**. Let’s assume that your strategy has two legs, CE and PE, and you want to play around with them in a backtest.
***
***For example*** if you want a strategy where if one leg's SL hits then the other leg is also squared off or if one leg's SL hits and the other leg's stop loss moves to entry price. These things you can be done with Legwise settings.
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
## Square Off
The [:Square
Off](https://docs.algotest.in/features/legwise-settings/#SquareOff) feature enables you to chose if you want to square only individual leg if SL hit of that leg or want to square of all legs if SL/Target hit of any individual leg.
### Square Off Partial
**This feature enables you to squareoff only that leg whose Target/SL is hit.**
***
One leg SL/Target hit doesn't impact other leg.
**Example** :- Assume you created a strategy
***
Entry :- 09:20
***
Leg 1:- ATM CE Buy
***
Leg 2 :- ATM PE Buy
***
Positon :- Buy
***
SL :- 25 Points
***
Leg-Wise Setting :- Squareoff Partial
\_Imagine at 09:20 both CE & PE took entry. At 09:44 CE Sl hit.
***
Now according to Squareoff partial feature this CE SL hit will not impact other leg. Each leg will work normally.\_
### Square Off Complete
**This feature enables you to square off all the legs in a strategy if any leg Target/SL is hit.**
***
Assume your strategy have two legs ATM CE Buy and ATM PE Buy. Now if ATM CE Buy leg SL hits, then it will squareoff the other leg immediately as well.
**Example** :- Assume you created a strategy
***
Entry :- 09:20
***
Leg 1:- ATM CE Buy
***
Leg 2 :- ATM PE Buy
***
SL :- 25 Points
***
Leg-Wise Setting :- Squareoff Complete
\_Imagine at 09:20 both CE & PE took entry. At 09:44 CE Sl hit.
***
Now according to Squareoff complete feature your PE legs will also be squared off immediately at 09:44\_
## Trail SL to Breakeven Price
The [:Trail
SL to breakeven price](https://docs.algotest.in/features/legwise-settings/#TrailSLtoBreakevenPrice) feature enables you to move your stop loss to breakeven price if any leg SL hit.
You can enable this feature as shown in the image below
### Trail SL to Breakeven SL Legs
**This feature enables you to move the stop loss to breakeven price of the legs which has SL defined if any leg's SL hits.**
***
If any leg doesn't have any SL defined, it will not move the SL of that leg to breakeven price.
**Example** :- Assume you created a strategy
***
Entry :- 09:20
***
Leg 1:- ATM CE Buy, SL 25 points
***
Leg 2 :- ATM PE Buy, SL 25 points
***
Leg 3 :- OTM1 CE Buy, No SL
***
Leg4 :- OTM1 PE Buy, No SL
***
Leg-Wise Setting :- Trail SL to Break-even price SL Legs
\_Now Imagine at 09:20, all the 4 legs took entry. After some time, at 09:52 Leg 2 ATM PE Buy SL hits.
***
Now according to our TSL to Breakeven SL Legs condition, it will shift the stop loss of Leg 1 ATM CE Buy to entry price. But it will not shift SL of Leg 3 and Leg 4 to breakeven price as they don’t have SL defined.\_
### Trail SL to Breakeven All Legs
This feature enables you to move the stop loss of all the legs to entry price if any leg's SL is hit.
**Example** :- Assume you created a strategy
***
Entry :- 09:20
***
Leg 1:- ATM CE Buy, SL 25 points
***
Leg 2 :- ATM PE Buy, SL 25 points
***
Leg 3 :- OTM1 CE Buy, No SL
***
Leg 4 :- OTM1 PE Buy, No SL
***
Leg-Wise Setting :- Trail SL to Break-even price All Legs
\_Now Imagine at 09:20, all the 4 legs took entry. After some time, at 09:52 Leg 2 ATM PE Buy SL hits.
***
Now according to our TSL to Breakeven All Legs condition, it will shift the stop loss of Leg 1 ATM CE Buy, Leg 3 OTM1 CE Buy and Leg 4 OTM1 PE Buy to entry price even if Leg 3 and Leg 4 has no SL defined.\_
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/re-entry
import Iframe from "../../../../src/components/Iframe";
## [Re-Entry triggered by SL or Target](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest)
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
**This feature enables you to re-enter in a new position after SL or Target hit.**
***
You can use this feature on stop-loss or target or both.
**The max limit to do re-entries is 20 for individual leg targets or stop-loss.**
***
You can enable the “Re-entry on SL” feature as shown in the image below.
***
You can enable “Re-entry on Target“ feature as shown in the image below :
***
AlgoTest provides you with many different options for re-entry. You can use them by selecting from the dropdown menu under target as shown in the image below :
### **RE-ASAP (Immediate Re-Entry)**
**This option enables you to re-enter immediately after your stop-loss or target hit in a strike available at that time.**
***
***For example*** let's assume you have selected an ATM strike in your strategy for entry. After the SL/Target hits it will select a new ATM strike available at that time for entry.
***
**You can select a maximum of 20 re-entries for SL and Target each on individual legs.**
***
**Example** : Let's assume you created a strategy
***
**Underlying** :- Nifty
***
**Entry** :- 09:20
***
**Strike** :- ATM CE
***
**Positon** :- Buy
***
**SL** :- 30 Points
***
**Re-ASAP** = 1 (It means it will take max 1 entry on SL hit, you can enter max 20)
\_Assume at 9:20 spot is at 18502 so ATM strike is 18500 and premium is 200
***
Your SL is at = 200 - 30 = 170 and at 09:45 it hits
***
At 09:45 spot 18460 so ATM is 18450\_
*Now according to our RE-ASAP condition it will look for ATM strikes available at 09:45 and take entry immediately in a new ATM CE strike available at 09:45. So this time strike it will select for re-entry is 18450.*
### **RE-ASAP ( Immediate Re-Entry Reverse)**
**This option enables you to re-enter immediately in reverse position after your stop-loss or target hit in a new strike available at the time.**
***For example*** let's assume you have selected an ATM CE strike with Buy position in the strategy for entry. After SL/Target hits it will select a new ATM strike available at that time and enter in the CE Sell position. You can select a maximum of 20 re-entries for SL and Target each on individual legs.
***
**Example** :- Let's assume you created a strategy
***
**Underlying** :- Nifty
***
**Entry** :- 09:20
***
**Strike** :- ATM CE
***
**Positon** :- Buy
***
**SL** :- 30 Points
***
**Re-ASAP Reverse** = 1 (It means it will take max 1 entry on SL hit, you can enter max 20)
\_Assume at 9:20 spot is at 18502 so ATM strike is 18500 and 18500 CE premium is 200
***
Your SL is at = 200 - 30 = 170 and at 09:45 it hits
***
At 09:45 spot 18460 so ATM strike is 18450\_
Now according to our RE-ASAP Reverse condition it will look for ATM strikes available at 09:45(when our SL/Target hit) and take entry immediately in a new ATM CE strike available at 09:45 with reverse position. So this time strike it will select for re-entry is 18450 and enter in CE Sell position(Reversing CE buy to CE sell).
### **RE-COST (Re-Entry At Cost)**
**This option enables you to re-enter in the original leg at initial entry price.**
***
***For example*** you have selected ATM CE strike with Buy position in strategy. Now if your SL/Target hits, it will select the same strike for re-entry and wait for the price to come on the initial entry price. If it comes, it will take an entry.
***
**Example** :- Assume you created a strategy
***
**Underlying** :- Nifty
***
**Entry** :- 09:20
***
**Strike** :- ATM CE
***
**Positon** :- Buy
***
**SL** :- 30 Points
***
**Re-Cost** = 1 (It means it will take max 1 entry on SL hit, you can enter max 20)
\_Assume at 9:20 spot is at 18502 so ATM strike is 18500 and 18500 CE premium is 200
***
Your SL is at = 200 - 30 = 170 and at 09:45 it hits
***
Now it will select the same 18500 CE strike for re-entry and will wait if the price comes back to 200. If it comes at 200, it will take an entry at 200.\_
### **RE-COST (Re-Entry At Cost Reverse)**
This option enables you to re-enter in the original leg at initial entry price in reverse position. For example you have selected ATM CE strike with Buy position in strategy. Now if your SL/Target hit, it will select the same strike in Sell position for re-entry and wait for the price to come on initial entry price. If it comes, it will take an entry in ATM CE Sell position at initial entry price.
***
**Example** :- Assume you created a strategy
***
**Underlying** :- Nifty
***
**Entry** :- 09:20
***
**Strike** :- ATM CE
***
**Positon** :- Buy
***
**SL** :- 30 Points
***
**Re-Cost Reverse** = 1 (It means it will take max 1 entry on SL hit, you can enter max 20)
\_Assume at 9:20 spot is at 18502 so ATM strike is 18500 and 18500 CE premium is 200
***
Your SL is at = 200 - 30 = 170 and at 09:45 it hits
***
Now it will select the same 18500 CE strike for re-entry and will wait if the price comes back to 200. If it comes at 200, it will take entry at 200 and reverse the CE Buy Position to CE Sell.\_
**So it will take re entry in 18500 CE Sell position at 200.**
### **RE-MOMENTUM (Re-Entry On Momentum)**
This option enables you to re-enter when the momentum condition meets after SL/Target hit. This will work only if you have enabled Simple Momentum feature in strategy.For example you have selected ATM CE strike with Buy position and X points in momentum in strategy. Now if your SL/Target hits, it will select a new ATM strike and wait for X points momentum if it holds true or not. If it doesn't meet it will not take entry.
***
**Example** :- Assume you created a strategy
***
**Underlying** :- Nifty
***
**Entry** :- 09:20
***
**Strike** :- ATM CE
***
**Positon** :- Buy
***
**Simple Momentum** :- 20 (Need to be enabled for momentum re-entry)
***
**SL** :- 30 Points
***
**Re-Momentum** = 1 (It means it will take max 1 entry on SL hit, you can enter max 20)
***
\_Assume at 9:20(entry time) spot is at 18502 so ATM strike is 18500 and 18500 CE premium is 180 and after some time at 09:25 it reached 200 so it took entry at 200.
***
Your SL is at = 200 - 30 = 170 and at 09:45 it hits.
***
Now at 09:45 it will look for an ATM strike for re-entry. Say at 09:45 spot is at 18472 so ATM is 18450 and 18450 ATM CE premium is 180.
***
Now according to our momentum condition it will wait if 18450 CE premium moves 20 point up i.e. 180+20 = 200
***
If the price200 doesn’t come then it will not take any entry.\_
So it will take re entry in 18450 CE Buy position at 200.
### **RE-MOMENTUM (Re-Entry Reverse On Momentum)**
:::info
**This option enables you to re-enter when the momentum condition meets after SL/Target hit in a reverse position.**
This will work only if you have enabled the Simple Momentum feature in strategy.
***For example*** let's assume you have selected an ATM CE strike with buy position and X points in momentum in the strategy. Now if your SL/Target hits, it will select a new ATM strike and wait for X points momentum to hold true. If it doesn't meet this condition then it will not take entry.
:::
***
**Example** :- Assume you created a strategy
***
Underlying :- Nifty
***
Entry :- 09:20
***
Strike :- ATM CE
***
Positon :- Buy
***
Simple Momentum :- 20 (Need to be enabled for momentum re-entry)
***
SL :- 30 Points
***
Re-Momentum-Reverse = 1 (It means it will take max 1 entry on SL hit, you can enter max 20)
\_ Let's assume that at 9:20 (entry time) the spot is at 18502 so the ATM strike is 18500 and 18500 CE premium is 180. After some time at 09:25 it reached 200 so it took entry at 200.
***
Your SL is at = 200 - 30 = 170 and at 09:45 it hits.
***
Now at 09:45 it will look for an ATM strike for re-entry. Say at 09:45 the spot is at 18472 so ATM is 18450 and 18450 ATM CE premium is 180.
***
Now according to our momentum condition it will wait if 18450 CE premium moves 20 point up i.e. 180+20 = 200, but it will take entry in reverse position i.e. 18450 CE sell instead of 18450 CE Buy
***
If 200 price don’t come it will not take any entry.\_
**So it will take re-entry in the 18450 CE Sell position at 200.**
### **LAZY LEG**
#### Introducing the Lazy Leg Feature in AlgoTest
Our latest update introduces the "Lazy Leg" feature, designed to enhance the flexibility and efficacy of trade management within our platform. This feature allows users to define conditions for re-entering trades, specifically Target or Stop-Loss strategies, by setting conditions directly related to individual legs of a trade.
#### What is a Lazy Leg?
A lazy leg refers to a part of your strategy's leg that you can set to activate under certain defined conditions without manual intervention. It extends the capability of our platform, allowing for more sophisticated management of entry and exit strategies.
#### How to Set Up a Lazy Leg
- **Configuration**: Users can directly select "Lazy Leg" to add a leg under stop-loss or target profit conditions.
- **Usage in Trading Strategy**: A lazy leg can be associated with both Re-Entry by Target and Re-Entry by Stop Loss. The settings for each can be the same or varied depending on the strategy’s requirements.
- **Execution**: When a lazy leg condition is met, the system treats it as a separate entity but follows the defined parameters (of previous legs) to execute trades, ensuring that the strategy's objectives are maintained.
:::info
This feature allows you to execute specific legs of your trading strategy when your initial target or stop loss or target is reached.
:::
*For example*, if your strategy involves selling an ATM call with a 20-point stop loss, you can use the Lazy Leg feature to execute an OTM put sell leg with a 10-point stop loss and 20-point target if the initial stop loss is hit. This feature gives you more flexibility and control in executing your trades.
You can create a "Lazy Leg" by selecting the option in the Re-Entry feature and inputting your desired parameters for the leg before clicking on "Create and Select".
**Example** :- Let's assume you created a strategy
**Underlying** :- Nifty
***
**Entry** :- 09:20
***
**Strike** :- ATM CE
***
**Positon** :- Buy
***
**SL** :- 30 Points
***
**Re-Entry on SL (Lazy Leg)** :- OTM2 CE Sell, SL 20%, Target 40%
Assume that at 9:20 the spot is at 18502 so ATM strike is 18500 and 18500 CE premium is 200
Your SL is at = 200 - 30 = 170 and at 09:45 it is hit and triggered.
Now assume that at 09:45 the spot is at 18465 so OTM2 for CE is 18550 CE.
So as per our Lazy Leg condition it will execute the 18550 CE with 20% Stop-Loss and 40% Target at 09:45.
### **LAZY LEG on LAZY LEG**
This feature enables the automatic execution of another Lazy Leg when the stop-loss (SL) or target of a Lazy Leg is activated.
For instance, if I have a strategy that executes a Call Option (CE) At-the-money (ATM) Leg at 09:20 with a 50% stop-loss (SL), I can set up a Lazy Leg #1 with the same parameters and a 40% SL when the SL of our initial leg is hit. Additionally, I can add another Lazy Leg #2 with the same parameters and a 30% SL and connect it to Lazy Leg #1. So, if the stop-loss of the initial leg is hit, it will execute Lazy Leg #1, and when the stop-loss of Lazy Leg #1 is hit, it will execute another leg, Lazy Leg #2.
It is an advanced feature that enables users to create multiple combinations and complex trading strategies. You can add upto 10 lazy legs in 1 strategy.
#### How Lazy Leg on Lazy Leg feature works
Let's say, there are three legs, each with a different stop loss. These legs are referred to as Leg #1, Leg Lazy1, and Leg Lazy2. When the stop loss of Leg #1 is hit, it will trigger Lazy Leg 1 (Lazy1). Likewise, when the stop loss of Lazy1 is hit, it will trigger Lazy Leg 2 (Lazy2). Feel free to try out different combinations as well.
---
// File: Time-Based-Algo-Trading/How-to-Master-Backtesting-on-AlgoTest/features/no-re-entry-after
import Iframe from "../../../../src/components/Iframe";
## [No Re-entry After](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest)
[:For
any queries reach out to us!](https://docs.algotest.in/getting-started/join-telegram/#1AlgoTestRealtimeExecutionHelpline)
:::info
**This feature enables you to stop any re-entry if the SL/Target is hit after a time specified by you.**
***
This setting can be only applied on Re-Entry. It will not effect normal entry. You can find this feature under the Entry Settings.
:::
![]({require("/features/No_reentry1.png").default})
![]({require("/features/No_reentry2.png").default})
![]({require("/features/No_reentry3.png").default})
![]({require("/features/Range_1.png").default})
![]({require("/features/Range_2.png").default})
![]({require("/features/Range_3.png").default})
![]({require("/features/Range_4.png").default})
![]({require("/features/Range_5.png").default})
![]({require("/features/Range_6.png").default})
![]({require("/features/Range_7.png").default})
![]({require("/features/Range_8.png").default})
![]({require("/features/Range_9.png").default})
![]({require("/features/Range_10.png").default})
![]({require("/features/Range_11.png").default})
![]({require("/features/Range_12.png").default})
![]({require("/features/Range_13.png").default})
![]({require("/features/Range_14.png").default})
![]({require("/features/range-btst-01.png").default})
![]({require("/features/range-btst-02.png").default})
![]({require("/features/range-btst-03.png").default})
![]({require("/features/range-btst-04.png").default})
![]({require("/features/positional-orb.png").default})
![]({require("/features/positional-orb-2.png").default})
![]({require("/features/positional-orb-3.png").default})
![]({require("/features/oss1.png").default})
![]({require("/features/oss2.png").default})
![]({require("/features/oss3.png").default})
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![]({require("/features/oss52.png").default})
![]({require("/features/oss53.png").default})
![]({require("/features/oss54.png").default})
![]({require("/features/reentryonrange1.png").default})
![]({require("/features/reentryonrange2.png").default})
![]({require("/features/reentryonrange3.png").default})
![]({require("/features/reentryonrange4.png").default})
![]({require("/features/reentryonrange5.png").default})
![]({require("/features/reentryonrange6.png").default})
![]({require("/features/reentryonrange7.png").default})
![]({require("/features/reentryonrange8.png").default})
![]({require("/features/reentryonrange9.png").default})
![]({require("/features/reentryonrange10.png").default})
![]({require("/features/reentryonrange11.png").default})
![]({require("/features/reentryonrange12.png").default})
![]({require("/features/reentryonrange13.png").default})
![]({require("/features/reentryonrange14.png").default})
![]({require("/features/reentryonrange15.png").default})
![]({require("/features/reentryonrange16.png").default})
![]({require("/features/reentryonrange17.png").default})
![]({require("/features/reentryonrange18.png").default})
![]({require("/features/reentryonrange19.png").default})
![]({require("/features/stoploss1.png").default})
![]({require("/features/stoploss2.png").default})
![]({require("/features/stoploss3.png").default})
![]({require("/features/stoploss4.png").default})
![]({require("/features/stoploss5.png").default})
![]({require("/features/stoploss6.png").default})
![]({require("/features/folders.png").default})
- Click on "-" icon to remove the setup and click on update, as illustrated in the image below.
## How Broker Level Stop Loss Works
In [Algotest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest), you can set a broker-level stop loss that applies to all deployed strategies. This stoploss automatically squares off all running strategies once it's reached.
***
For instance, if you set the broker level stop loss to 5000, as soon as it breaches, all strategies will be squared off.
:::info
It's important to note that this setting needs to be updated daily.
:::
To set a broker-level stop loss, please follow the steps below.
- To set a stop loss, click on the "Stop Loss" button indicated in the image below.
![]({require("/features/brok-01.png").default})
![]({require("/features/brok-02.png").default})
![]({require("/features/brok-03.png").default})
![]({require("/features/exact-01.png").default})
![]({require("/features/exact-02.png").default})
![]({require("/features/exact-03.png").default})
![]({require("/features/exact-04.png").default})
![]({require("/features/margin-01.png").default})
![]({require("/img/screenshot-2026-01-15-113431.png").default})
![]({require("/img/screenshot2-2026-01-15-113431.png").default})
![]({require("/features/heatmap1.png").default})
![]({require("/features/heatmap2.png").default})
![]({require("/features/heatmap3.png").default})
![]({require("/live/past1.png").default})
![]({require("/img/unnamed-2.png").default})
![]({require("/img/algo-trade-2.png").default})
![]({require("/img/unnamed-3.png").default})
![]({require("/img/unnamed-4.png").default})
![]({require("/img/unnamed-5.png").default})
![]({require("/live/past6.png").default})
![]({require("/live/past7.png").default})
![]({require("/live/auto-restart-1.png").default})
![]({require("/new-regime/new-regime-1.png").default})
![]({require("/new-regime/new-regime-7.png").default})
![]({require("/new-regime/new-regime-2.png").default})
![]({require("/new-regime/new-regime-5.png").default})
![]({require("/new-regime/new-regime-6.png").default})
![]({require("/new-regime/new-regime-3.png").default})
![]({require("/new-regime/new-regime-4.png").default})
![]({require("/forward-test/signup.png").default})
![]({require("/forward-test/login.png").default})
![]({require("/live/broker-login-3.png").default})
![]({require("/img/algo-trade.png").default})
![]({require("/live/activate-2.png").default})
![]({require("/live/activate-3.png").default})
![]({require("/img/execution-setting.png").default})
![]({require("/img/live-tradee.png").default})
![]({require("/live/activate-5.png").default})
![]({require("/live/activate-6.png").default})
![]({require("/live/multi-broker-1.png").default})
![]({require("/live/multi-broker-2.png").default})
![]({require("/live/multi-broker-3.png").default})
![]({require("/live/multi-broker-4.png").default})
![]({require("/live/multi-broker-5.png").default})
![]({require("/live/multi-broker-6.png").default})
![]({require("/live/multi-broker-7.png").default})
![]({require("/live/multi-broker-8.png").default})
![]({require("/live/slicing.png").default})
![]({require("/live/pro-2.png").default})
***
## Key Features of the Pro View
### 1. Multi-Broker P\&L Sidebar
A vertical sidebar displays **real-time P\&L for 8–10+ broker accounts** simultaneously.
- Total combined P\&L is shown **prominently at the top** of the main dashboard.
- Ideal for monitoring and comparing performance across brokers in one glance.
***
### 2. Net Debit/Credit Summary
This feature provides a consolidated view of **net credit or debit** from all executed trades.
- Helps you understand capital inflows and outflows instantly.
- Great for intraday and expiry-day trade monitoring.
***
### 3. Multi-Select Strategy & Portfolio Actions
You can now **select multiple strategies or portfolios** and perform bulk actions with a single click:
- Square Off
- Switch to Manual
- Activate/Deactivate
This bulk control dramatically reduces time spent toggling between individual strategies.
***
### 4. Unified Strike-Level Position View
The Pro View consolidates **all open option strikes** across:
- Multiple brokers
- All indices (e.g., NIFTY, BANKNIFTY, FINNIFTY, etc.)
- All strategies and portfolios
From here, you can:
- View real-time exposure on each strike.
- **Square off a specific strike** directly – and it will exit **from all strategies and portfolios where it is active**.
No need to go into individual strategies to exit a strike with minimal premium, especially helpful on the **sell side** during expiry hours.
***
## Benefits
- Centralized monitoring across brokers and strategies
- One-click control for high-speed execution needs
- Reduce operational risk by exiting stale positions efficiently
***
## How to Enable Pro View
1. Go to AlgoTest and go to your standard execution interface.
1. Click on the **“Switch to Pro View”** button on the top-right.
1. You’ll now see the enhanced layout with sidebar, consolidated controls, and strike-level views.
![]({require("/live/auto-execution-6.png").default})
![]({require("/live/auto-execution-7.png").default})
![]({require("/live/auto-execution-8.png").default})
![]({require("/live/auto-execution-1.png").default})
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![]({require("/img/screenshot-2026-02-23-122345.png").default})
![]({require("/img/screenshot-2026-02-23-at-12.38.03-pm.png").default})
![]({require("/live/auto-1.png").default})
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![]({require("/features/budget-days.png").default})
![]({require("/features/budget-day.png").default})
![]({require("/features/budget-days-01.png").default})
![]({require("/img/screenshot-2026-01-28-111158.png").default})
![]({require("/forward-test/step-3.png").default})
![]({require("/forward-test/step-4.png").default})
![]({require("/forward-test/step-5.png").default})
![]({require("/features/intraday_backtest1.png").default})
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![]({require("/features/positional_backtest1.png").default})
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![]({require("/features/delta-backtest-1.png").default})
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![]({require("/features/backtest_stock1.png").default})
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![]({require("/features/exp.png").default})
![]({require("/features/exp-01.png").default})
![]({require("/features/exp-02.png").default})
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![]({require("/features/range-01.png").default})
![]({require("/features/back-01.png").default})
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![]({require("/features/pol-8.png").default})
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![]({require("/getting-started/profile-nav.png").default})
![]({require("/getting-started/email-popup.png").default})
![]({require("/getting-started/confirm-email.png").default})
![]({require("/broker/5paisa1.png").default})
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![]({require("/broker/5paisa5.png").default})
![]({require("/broker/5paisa6.png").default})
![]({require("/broker/5paisa7.png").default})
![Broker set up]({require("/img/screenshot2-2026-01-27-182710.png").default})
![]({require("/broker/5paisa9.png").default})
![]({require("/broker/5paisa10.png").default})
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![]({require("/broker/acagarwal1.png").default})
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![]({require("/broker/acagarwal10.png").default})
![]({require("/broker/acagarwal11.png").default})
![]({require("/broker/acagarwal12.png").default})
![]({require("/broker/acagarwal13.png").default})
![]({require("/broker/acagarwal14.png").default})
![]({require("/broker/acagarwal15.png").default})
![]({require("/broker/aliceblue1.png").default})
![]({require("/img/screenshot4-2026-01-27-195324.png").default})
![]({require("/broker/aliceblue3.png").default})
![]({require("/broker/aliceblue4.png").default})
![]({require("/broker/aliceblue5.png").default})
![]({require("/broker/aliceblue6.png").default})
![]({require("/broker/angelone2.png").default})
![]({require("/broker/angelone3.png").default})
![]({require("/img/screenshot5-2026-01-27-195324.png").default})
![]({require("/broker/angelone5.png").default})
![]({require("/broker/angelone6.png").default})
![]({require("/broker/angelone7.png").default})
![]({require("/broker/angelone8.png").default})
![]({require("/broker/angelone9.png").default})
![]({require("/broker/angelone10.png").default})
![]({require("/broker/angelone11.png").default})
![]({require("/broker/angelone12.png").default})
![]({require("/broker/angelone13.png").default})
![]({require("/broker/Arham_1.jpg").default})
![]({require("/broker/broker_setup-1.jpg").default})
![]({require("/broker/broker_setup-2.png").default})
![]({require("/broker/arham_2.png").default})
![]({require("/broker/arham_3.png").default})
![]({require("/broker/axis.jpg").default})
![]({require("/broker/axis_1.png").default})
![]({require("/broker/axis_2.png").default})
![]({require("/broker/bhansali.png").default})
![]({require("/broker/bhansali_1.png").default})
![]({require("/broker/bhansali_2.png").default})
Via [Bigul](https://www.bigul.co/subscription-plan)
:::info
### **Bigul Account Opening Link**
[https://www.bigul.co/open-account/](https://www.bigul.co/open-account/)
### **Bigul Trading Terminal Link**
[https://trading.bigul.co/](https://trading.bigul.co/)
### **Bigul API Portal Link**
[https://trading.bigul.co/dashboard#!/login](https://trading.bigul.co/dashboard#!/login)
### **Bigul Brokerage and Charges**
[https://bigul.co/pricing/](https://bigul.co/pricing/)
### **Bigul Customer Support**
[https://bigul.co/contact](https://bigul.co/contact)
:::
::::tip
The **Daily Trades Analysis Browser Extension**. Now analyse your trades with ease.
**This extension is FREE for everyone.**
***
> **Chrome Extension Link** - [Click Here](https://chromewebstore.google.com/detail/algotest/jpbpckhmpdlkpmghmbnfmffigelpehek)
> **Firefox Extension Link** - [Click Here](https://addons.mozilla.org/en-US/firefox/addon/algotest/) :::
## What you'll need for Bigul Algo Trading
### AlgoTest Account
You need to have an [AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) account. If you don't have a AlgoTest account, you can create it by clicking on [this link](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest).
### Bigul Account
You need to have a Demat account in Bigul. If you don't have an account, [create an account on Bigul](https://www.bigul.co/open-account/). Make sure to activate F\&O on your account.
### Bigul API Portal Account
You must have an account on the [Bigul API Portal](https://trading.bigul.co/dashboard#!/login) to create an API App.
## Bigul API Activation
- To set up an API, you must first log in to the [Bigul API Portal.](https://trading.bigul.co/dashboard#!/login) If you don't have an account yet, click on the "Create an Account" button and enter the necessary information to sign up, as shown in the image below.
![]({require("/broker/bigul2.png").default})
![]({require("/broker/bigul3.png").default})
![]({require("/broker/bigul4.png").default})
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![]({require("/broker/choice1.png").default})
![]({require("/broker/broker-setup.png").default})
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![]({require("/broker/DB.png").default})
![]({require("/broker/DB_1.png").default})
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![]({require("/broker/delta_1.png").default})
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![]({require("/broker/enrich-3.png").default})
![]({require("/broker/enrich-4.jpg").default})
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1. Navigate to **Builder + Simulator:**
1. Click on the **VRP Analysis** to access the dashboard:
1. Click on the **VRP Analysis** and you will find the main dashboard interface appears with charts and settings like this:
### 2. Select the Asset
Choose an index from the dropdown as shown in the image, for example:
- **NIFTY** – broad-market analysis
- **BANKNIFTY** – banking-sector volatility
### 3. Configure the Settings
**Implied Volatility (IV) Settings**
- **Constant Maturity:** 7 d, 21 d, 30 d, or 90 d
- Normalises for changing expiries so you can track *true* shifts in market expectations.
**Realized Volatility (RV) Settings**
- **Look-back Period:** Match this to your IV choice (e.g., 30 d IV → 30 d RV)
- **Estimator:** Integrated *(recommended)*, Parkinson, Garman-Klass, or Yang-Zhang
- **Lag RV:** Aligns prediction dates (IV) with outcome dates (RV)
***
## Understanding the Dashboard
### The Main Chart
- **Blue line (IV):** Market’s volatility prediction
- **Red line (RV):** Actual volatility that occurred
***
## Example Walk-Through
1. **Set IV to 30 d** – market’s 30-day forecast
2. **Set RV to 30 d + Lag** – realised volatility 30 days later
3. **Reading:** IV = 22 %, RV = 18 %
4. **VRP:** 22 % – 18 % = **+4 %**
5. **Interpretation:** Options are relatively expensive → volatility-selling strategies may be attractive.
***
## Advanced Features
### Distribution Analysis
A distribution table shows:
- Frequency of positive vs. negative VRP
- Average VRP across different IV regimes
### Multiple RV Estimators
| Estimator | Best For |
| ---------------- | ----------------------------------------- |
| **Integrated** | Trend-heavy markets (removes price drift) |
| **Parkinson** | Capturing intraday volatility (high-low) |
| **Garman-Klass** | Comprehensive OHLC measure |
| **Yang-Zhang** | Accounts for overnight gaps |
***
## Best Practices
1. **Match Time Horizons**
- 30 d IV ↔ 30 d RV, 7 d IV ↔ 7 d RV
2. **Use Lag RV for Predictive Analysis**
- Aligns forward-looking IV with backward-looking RV
3. **Consider Market Context**
- *Normal markets:* VRP positive \~ 80 % of the time
- *Crisis periods:* VRP can turn negative as RV spikes
- *Event risk:* Earnings, policy meetings, etc.
4. **Combine With Other Analysis**
- VRP is descriptive, pair it with technicals, sentiment, and risk management.
***
## Frequently Asked Questions
**Q: Why is VRP usually positive?**\
Markets overprice volatility as insurance against uncertainty; investors pay a premium for protection.
**Q: When might VRP turn negative?**\
During shocks, sudden news, or volatility clustering (high-volatility periods that persist).
**Q: How often should I check VRP?**\
Daily for planning; intraday during high-impact events (e.g., earnings, policy announcements).
**Q: Does VRP apply to every options strategy?**\
It’s most useful for volatility-focused strategies; for directional trades, combine it with price and trend analysis.
**Q: Where can I learn more about IV, RV and VRP Dashboard?**\
AlgoTest's goal is to educate traders, hence we have launched a course on Volatitlity Trading for traders like you. Check it out here.
---
// File: clicktrade/strategy-builder/position-dashboard
# Risk Monitoring Dashboard
We’ve made significant enhancements to how you can **monitor and manage risk** across your strategies. These updates give you tighter control over your **active positions**, reduce risk exposure, and ensure you never miss key alerts.
## What’s New
### 1. Risk Dashboard Auto-Inclusion for New Strategies
- All **new strategies**, whether created via **Strategy Builder** or connected via **Trade Bridge**, are now **automatically added** to your **Risk Dashboard**.
- This dashboard provides a consolidated view of **live and forward test strategy positions**, including **MTM** and risk metrics.
You can find the dashboard by clicking on "Risk Dashboard" from the dropdown menu:
![]({require("/strategy-builder/position-dash-5.png").default})
![]({require("/strategy-builder/position-dash-1.png").default})
![]({require("/strategy-builder/position-dash-2.png").default})
![]({require("/strategy-builder/position-dash-4.png").default})
![]({require("/strategy-builder/position-dash-3.png").default})
![]({require("/strategy-builder/earnings-2.png").default})
![]({require("/strategy-builder/earnings-1.png").default})
![]({require("/strategy-builder/earnings-3.png").default})
![]({require("/strategy-builder/earnings-4.png").default})
![]({require("/strategy-builder/earnings-5.png").default})
![]({require("/strategy-builder/earnings-6.png").default})
![]({require("/strategy-builder/ivp-1.png").default})
![]({require("/strategy-builder/ivp-2.png").default})
![]({require("/strategy-builder/ivp-3.png").default})
![]({require("/strategy-builder/broker-set.png").default})
![]({require("/strategy-builder/set-loss-01.png").default})
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![]({require("/strategy-builder/OI-1.png").default})
![]({require("/strategy-builder/OI-2.png").default})
![]({require("/strategy-builder/OI-3.png").default})
![]({require("/strategy-builder/OI-4.png").default})
![]({require("/strategy-builder/straddle.png").default})
![]({require("/strategy-builder/strangle.png").default})
![]({require("/strategy-builder/bull-call-spread.png").default})
![]({require("/strategy-builder/bear-put-spread.png").default})
![]({require("/strategy-builder/iron-fly.png").default})
![]({require("/strategy-builder/iron-condor.png").default})
![]({require("/strategy-builder/sb-01.png").default})
![]({require("/strategy-builder/sb-04.png").default})
![]({require("/strategy-builder/sb-02.png").default})
![]({require("/strategy-builder/sb-03.png").default})
![]({require("/strategy-builder/calendar_spread_builder.PNG").default})
### Step 2: Access Saved or Deployed Strategies
Click on the **Strategies** button to expand and view your list of saved or deployed strategies.
You’ll see your strategies categorized **index-wise** (e.g., NIFTY, BANKNIFTY, FINNIFTY, etc.).\
Expand the desired index to locate the strategy you want to replay.
### Step 3: Select the Strategy
Click on the strategy name you wish to replay.\
This will open the selected strategy in the Strategy Builder view, displaying its parameters and previous trades.
### Step 4: Start Replay
Click on the **Replay** button located above the **Positions** tab to begin the strategy replay.
Once you click on **Replay**, the system will import your selected strategy.\
A popup will appear confirming:
> **Strategy Imported!**
### Step 5: Replay Controls
Once the strategy is imported, the **Replay Simulator** will open — allowing you to navigate through your past trades.
### Replay Controls Overview
- **Go to First Trade** → Starts the replay from the very first executed trade of your strategy.
- **Next Trade** → Moves the simulation to the next trade in sequence.
- **Previous Trade** → Returns to the previous trade.
- **Autoplay** → Automatically replays all trades in sequence.
- You can adjust the autoplay speed using the dropdown (choose between minutes, hours, or days per second).
- **Simulation Bar** → Drag the bar to any point in time to simulate the state of your trades at that specific moment.
### Step 6: View Positions and Adjustments
During replay, you can monitor your **Positions tab** to view active, upcoming, and adjusted trades.\
This helps visualize how your strategy evolved over time — including every adjustment or new position added.
### Places where you can find replay button to replay your past trades
- Go to the positions tab, and click on three dots to find the replay button:
- Go to Algo Trade tab and you'll find the below mentioned screen. You can replay your trades from there:
- Scroll down to the portfolio section and you can find a replay button for the portfolio there:
- You can see the replay button for a specific strategy as well on the same page:
- You can replay any of your past trades as well.
- Click on History:
- You will find the replay button as shown below:
---
// File: clicktrade/strategy-builder/creating-managing-strategies/multi-broker
# Multi-Broker Strategy Execution
## Feature Overview
With AlgoTest's latest update, traders can now **activate and execute the same strategy across multiple brokers** directly from a single interface. This is particularly useful for traders who:
- Operate accounts across multiple brokers
- Want to diversify executions across brokers
- Prefer setting different position sizes per broker
***
### How to Use Multi-Broker Execution
1. Log in to your AlgoTest account.
2. On the top navigation bar, hover over **"Builder + Simulator"**.
![]({require("/strategy-builder/sb-1.png").default})
![]({require("/strategy-builder/sb-2.png").default})
![]({require("/strategy-builder/sb-3.png").default})
![]({require("/strategy-builder/sb-4.png").default})
![]({require("/strategy-builder/edge-01.png").default})
![]({require("/strategy-builder/edge-02.png").default})
![]({require("/strategy-builder/edge-1.png").default})
![]({require("/strategy-builder/edge-03.png").default})
![]({require("/strategy-builder/edge-04.png").default})
![]({require("/strategy-builder/edge-05.png").default})
![]({require("/strategy-builder/strategy-builder-live.png").default})
![]({require("/strategy-builder/strategy-builder-live-2.png").default})
![]({require("/strategy-builder/order-type-mis.png").default})
- Access Your Forward Test Dashboard
Once inside, you’ll see your **Forward Test summary**:
- **Total MTM (Mark-to-Market)**
- A list of **Deployed Strategies**
Use the tabs to switch between:
- **Strategies**
- **Portfolios**
- **RA Algos**
#### Search and Select a Strategy
Use the search bar to find your strategy.\
Example: searching for “forward”.
Click **Select Setup** beside your desired strategy.
#### Edit Setup
In the setup modal:
- Adjust **Quantity Multiplier**
- Choose **Trade Monitoring** (`on Candle Close` or `on Mid Candle`)
- Set **Execution Days** (`Weekdays` or `DTE`)
Click **Edit Setup** to save changes.
#### Activate Strategy
Click **Activate (Free)** to deploy your strategy.
If your entry logic date is in the past, you’ll see a message:
> ⚠️ “According to your Strategy logic, your entry was supposed to happen on 06 Nov 25. Activating it will take the entry today.”
Confirm by clicking **Activate**.
#### Successful Activation
Once activated, you’ll see a confirmation:
**“Strategy successfully processed for execution.”**
Your strategy is now live and being monitored.
You’ll now see your **running strategy** in the list with:
- **Status:** Running
- **MTM:** P\&L updates (one minute delayed)
- **Actions:** `Replay`, `Analyse`, `Square Off`, `View Trades`
---
// File: crypto-trading/algo-trade
# Algo Trade Crypto Strategies
You can automate your crypto strategies on AlgoTest through Delta Exchange.
## Steps to Enable Algo Trading
1. **Connect Your Broker**
Go to **Broker Setup → Connect Delta Exchange** and log in using your broker credentials.\
Make sure API access is enabled on your Delta Exchange account, as live algo trading works only through APIs.
***
### 2. Select Your Strategy
Once connected, choose the **crypto strategy** you want to deploy.\
Before going live, ensure that the strategy has been thoroughly **backtested** and aligns with your risk appetite.
***
### 3. Run a Forward Test
Before starting live trading, we strongly recommend enabling a **Forward Test**.
Forward testing allows you to:
- Test your strategy on **real-time market data**
- Validate performance without risking real capital
- Check order execution, slippage, and logic accuracy
- Gain confidence before going live
During this phase, the strategy behaves exactly like live trading—but without placing real orders.
***
### 4. Review Margin & Position Settings
Carefully review:
- Required margin
- Lot size/quantity
- Max positions
- Risk limits
Ensure your wallet balance is sufficient to support the strategy once live trading starts.
For common setup issues or troubleshooting, see our [Algo Trading Doc](https://docs.algotest.in/Time-Based-Algo-Trading/algo-trade/).
> **Important:** Live crypto trading requires API access and sufficient wallet balance on Delta Exchange.
---
// File: crypto-trading/signals
# Signals for Crypto Strategies
Signals allow you to receive or send crypto strategy alerts from your connected strategies.
You can:
- Subscribe to crypto trading signals created by others.
This feature allows you to **follow and auto-execute strategies designed by experienced traders**, without building a strategy from scratch.
**Example:**\
Suppose a professional trader has created a **BTC options strategy** that enters trades only when volatility spikes and exits before major risk events. Instead of designing this logic yourself, you can **subscribe to their signal**. Once subscribed, the system automatically places the same trades in your account (based on your selected quantity and risk limits) whenever the signal triggers—saving you time and effort.
- Create your own signal-based strategies for Delta Exchange instruments.
For detailed setup, check our [Signals Documentation](https://docs.algotest.in/signals/).
> Ensure that your connected exchange segment is **Crypto (Delta Exchange)** to receive crypto-specific signals.
---
// File: crypto-trading/Auto-activation-crypto
# Auto Activation Crypto
Auto Activation for Crypto allows your portfolios to be deployed automatically at a scheduled time without manual activation. This feature is specific to crypto portfolios executed via [Delta Exchange India](https://www.delta.exchange/?code=ALGOTEST).
:::note Note:
For general Auto Activation concepts, scheduling logic, and standard behavior, refer to the main [Auto Activation documentation](https://docs.algotest.in/algo-trade/auto-activation).
:::
### Overview
Auto Activation for Crypto will attempt to deploy your portfolio at **6:25 PM IST** every day.
\
Once enabled:
- The system attempts activation at **6:25 PM IST**
- All strategies in the portfolio are deployed automatically
- Activation follows **all-or-nothing logic**
- Entire portfolio activates
- Or nothing activates (no partial execution)
If Auto Activation is turned on **after 6:25 PM IST**, the activation attempt will occur the **next day**.
### Crypto Market Timing
Unlike Indian markets, crypto markets run 24×7. However, for scheduling and system maintenance on AlgoTest:
**Market Close (system)**: 5:30 PM IST\
**Auto Activation Time**: 6:25 PM IST\
**Market Open (system)**: 6:30 PM IST
When Auto Activation is enabled before 6:25 PM IST, the portfolio activation is scheduled for that same day. If enabled after 6:25 PM IST, activation runs the following day.
### Enabling Auto Activation
To enable Auto Activation for a crypto portfolio:
1. Complete the execution setup for all strategies in the portfolio.
2. Open the Auto Activation page for your crypto portfolio.
3. Choose your scheduling mode: **Days (Mon–Fri)** or **DTE (Days to Expiry)**.
4. Turn on Auto Activation.
Once set, the system will automatically attempt to deploy your portfolio daily at the scheduled time.
### Plan Limits (Crypto)
Crypto trading on AlgoTest for [Delta Exchange India](https://www.delta.exchange/?code=ALGOTEST) is completely free.
There are no execution limits for Auto Activation in crypto. You can deploy and activate any number of strategies within a portfolio without restriction.
### Important Conditions
### Broker Login
Ensure your broker account is logged in before **6:25 PM IST**.
#### Portfolio Changes
You must revisit the Auto Activation page and update the Auto Activation if:
- A new strategy is added
- Weekday or DTE for any strategy is modified
- Execution setup is updated
If execution setup is incomplete, Auto Activation will not run.
### Error Notifications
If an Auto Activation attempt fails due to strategy validation, execution setup issues, or broker login problems, notifications will be delivered via the UI and any verified communication channels (email/Telegram).
---
// File: crypto-trading/index
## Crypto Trading is available on AlgoTest
AlgoTest now supports crypto trading via [Delta Exchange](https://www.delta.exchange/). You can backtest, forward test, and automate your crypto strategies just like you do for equities and options, all within the AlgoTest ecosystem.
## What You Can Do
- **Backtest** your crypto strategies to see how they would have performed historically.
- **Forward Test** to monitor your strategy in real-time with paper trading.
- **Algo Trade** live using your Delta Exchange account.
- **Use Signals** to receive or send crypto strategy alerts.
### Getting Started
To begin crypto trading:
1. Create or log in to your [Delta Exchange](https://www.delta.exchange/) account.
2. [How to connect Delta Exchange on AlgoTest](https://docs.algotest.in/broker/deltaexchange/#connecting-delta-exchange-with-algotest).
3. Choose a strategy and select **Crypto (Delta Exchange)** as your trading segment.
### Key Timings:
| **Event** | **Time (IST)** | **Description** |
| ---------------------------------------- | ------------------ | ------------------------------------------- |
| **Trading Start** | 6:31 PM | Trading begins for BTC/ETH options |
| **Trading End / Expiry** | 5:30 PM (next day) | Daily expiry of contracts |
| **Maintenance Window** | 5:30 PM – 6:30 PM | System and exchange maintenance period |
| **Algo / Signal / Forward Test Allowed** | 6:31 PM – 5:30 PM | Execution permitted only during this window |
> **Note:** AlgoTest allows crypto execution only within the trading window (6:31 PM – 5:30 PM).
You can explore each step in detail below:
- [Backtest Crypto Strategies](./backtest)
- [Forward Test Crypto Strategies](./forward-test)
- [Algo Trade with Delta Exchange](./algo-trade)
- [Signals for Crypto Strategies](./signals)
Reach out to our customer support on [Telegram!](https://t.me/AlgoTestUpdate)
---
// File: error-handling/index
# How to Handle a Strategy in Error
[AlgoTest](https://algotest.in/?utm_source=documentation\&utm_medium=internal\&utm_campaign=seo\&utm_content=main-page\&utm_term=algotest) has a new feature called the Resume Strategy function to help you resume a strategy that has gone into error.
Now you have the capability to handle errors directly on AlgoTest as opposed to managing the positions on the Broker Terminal.
## Reasons for Error(s)
While it is not the most common occurrence, sometimes the strategies you run can go into errors.
There can be many reasons for this error. It can be
- **Margin Shortfall**
- **Illiquid Instrument**
- **Some Broker RMS rules, etc.**
In such situations, it is essential to maintain calm and follow the correct steps, to handle the error efficiently.
## Handling Errors on AlgoTest during Live Trading
### Reasons for Errors on AlgoTest
A running strategy can go into error for many reasons. Your strategy can be in one of these two modes :
1. Error Mode - You need to manage your error manually.
2. View Error to Resume Mode - These erros can be managed from AlgoTest.
**No change** : No change here means that errors will be handled as they were before. The trader will have to deal with the said error on the broker terminal by switching strategy to manual.
**Strategy Paused** : Halt state means that your strategy has been halted and you can rectify the error and resume your strategy.
### How to identify an error on AlgoTest
In case your strategy has encountered an error that can be resumed (the strategy has gone into 'Halt State') you need to first identify the error.
For this you need to go to the live trade page and click on the "View Error to Resume" button as shown in the image below.
![Strategy error handling]({require("/img/image-2.png").default})
![]({require("/forward-test/error-image-3.png").default})
![]({require("/forward-test/error-image-4.png").default})
![]({require("/forward-test/error-image-5.png").default})
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![]({require("/features/quantity-multiplier.png").default})
![]({require("/features/quantity-multiplier-2.png").default})
![]({require("/execution-settings/ltp-1.png").default})
![]({require("/execution-settings/candleclose-1.png").default})
![]({require("/execution-settings/exe-time-1.png").default})
![]({require("/execution-settings/nrml-mis.png").default})
![]({require("/execution-settings/mis.png").default})
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![]({require("/execution-settings/buffer-1.png").default})
![]({require("/execution-settings/convert-to-market.png").default})
![]({require("/execution-settings/execution1.png").default})
![]({require("/execution-settings/monitoring.png").default})
![]({require("/execution-settings/continuous.png").default})
![]({require("/execution-settings/delayed.png").default})
![]({require("/features/trading-days.png").default})
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![]({require("/options-strategies/bear_put_spread1.png").default})
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![]({require("/options-strategies/bear_call_spread1.png").default})
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![]({require("/options-strategies/put_ratio_back_spread1.png").default})
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![]({require("/options-strategies/put_ratio_back_spread3.png").default})
![]({require("/options-strategies/put_ratio_back_spread4.png").default})
![]({require("/options-strategies/long_straddle1.png").default})
![]({require("/options-strategies/long_straddle2.png").default})
![]({require("/options-strategies/long_straddle3.png").default})
![]({require("/options-strategies/long_straddle4.png").default})
![]({require("/options-strategies/short_straddle1.png").default})
![]({require("/options-strategies/short_straddle2.png").default})
![]({require("/options-strategies/short_straddle3.png").default})
![]({require("/options-strategies/short_straddle4.png").default})
![]({require("/options-strategies/long_strangle1.png").default})
![]({require("/options-strategies/long_strangle2.png").default})
![]({require("/options-strategies/long_strangle3.png").default})
![]({require("/options-strategies/long_strangle4.png").default})
![]({require("/options-strategies/short_strangle1.png").default})
![]({require("/options-strategies/short_strangle2.png").default})
![]({require("/options-strategies/short_strangle3.png").default})
![]({require("/options-strategies/short_strangle4.png").default})
![]({require("/options-strategies/iron_condor1.png").default})
![]({require("/options-strategies/iron_condor2.png").default})
![]({require("/options-strategies/iron_condor3.png").default})
![]({require("/options-strategies/iron_condor4.png").default})
![]({require("/getting-started/algotest-signup.png").default})
![]({require("/img/screenshot3-2026-01-27-195324.png").default})
![]({require("/img/screenshot2-2026-01-27-155052.png").default})
![]({require("/img/screenshot-2026-07-06-183840.png").default})
![]({require("/getting-started/rzp-popup.png").default})
![algo test billing]({require("/img/screenshot-2026-01-27-131653.png").default})
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![]({require("/blog-pics/muhrat-03.png").default})
![]({require("/blog-pics/muhrat-04.png").default})
![]({require("/ra-algos/RA1.jpg").default})
![RA Algos]({require("/img/image-3.png").default})
![RA Algos]({require("/img/image-4.png").default})
![RA Algos]({require("/img/image-5.png").default})
![]({require("/img/screenshot-2026-01-29-170155.png").default})
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![directional algo strategy]({require("/img/image-1.png").default})
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