27 docs tagged with "indicators"

Deploy your Signals AI strategy for real money execution through your connected broker.

Connect a trade to your signals and test the full strategy on historical data — P&L, win rate, drawdown, year-wise returns, and downloadable trade logs.

The Signals AI Canvas is the visual strategy builder. Learn the four node types - Comparison, Logical, Time, & Boolean and how to combine them into entry and exit conditions.

See exactly where your Signals AI strategy enters and exits on real price data - before you backtest or deploy.

The Chartink Multistock feature on AlgoTest Signals 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.

Pick your instrument (indices, F&O stocks, crypto) and the chart your indicators run on - Spot, Futures, Options, Synthetic Futures, or Combined Premium.

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Diagnose missing trades, unexpected entries, and execution errors in your Signals AI strategy and collect exactly what support needs to help you fast.

A timestamped record of every signal your strategy generated — verify exact trigger times against market data.

Configure quantity, order types, monitoring mode (LTP vs candle close), buffers, auto square-off, before going live.

Answers to the most common Signals AI questions - plans, TradingView, backtesting, daily login, crypto, and more.

Run your Signals AI strategy on live market data without real money - validate performance, and consistency before going live.

Plain English definitions of every term used in the Signals AI docs - from ATM to win rate.

The signal lifecycle, the Listening state, when conditions are evaluated, and why backtest, forward test, and live results can differ.

Candle Type, Source, Period, Timeframe, and Offset - the five parameters shared by almost every Signals AI indicator, explained once.

RSI, MACD, Stochastic, ROC, Williams %R, and Special K in Signals AI - what each does, its parameters, and a ready to use example strategy.

Compare Signal Plans - 1 Month vs 6 Month - including Signals AI deployments, backtesting, PineScript support, and multi broker options.

Build, preview, backtest, and paper-trade your first Signals AI strategy — an EMA 20/50 crossover on NIFTY — step by step, with no coding.

RA Algos 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.

All your saved Signals AI strategies in one place - edit, configure execution, check deployment status, and launch forward tests or live algo trades.

Control how often your Signals AI strategy trades - cap concurrent open signals and limit the number of entries per day.

At 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".

EMA, SMA, WMA, VWMA, Supertrend, ADX, and VWAP in Signals AI - what each does, its parameters, and a ready to use example strategy.

Describe your trading strategy in plain English - or your own language, by voice and the Signals AI Agent builds it on the Canvas instantly.

Bollinger Bands, ATR, and Min Max in Signals AI - measure volatility, set dynamic stops, and build breakout strategies.

Signals AI is AlgoTest's no-code, AI-powered indicator strategy builder. Create, backtest, forward test, and automate trading strategies for Indian markets and crypto — no coding, no third-party tools.