21 docs tagged with "Signals AI"

Advanced Settings in Signals AI — Control Signal Execution

Algo Trade

The Chart Preview helps you visualize how your strategy behaves on the chart. Once the Signal strategy conditions are created, you can go to the Chart Preview section to see at what time and date the strategy entered or exited based on the defined conditions.

Choose Spot, Futures, Options, Synthetic Futures, or Combined Premium as your data source in Signals AI. Supports Nifty, BankNifty, stocks, and crypto.

The Logs section provides a detailed record of all the entry and exit signals generated by your strategy. By clicking on the Entry or Exit log tab, you can view the trade details along with the exact timestamps when trades were triggered and closed based on your defined conditions. \

Forward Test (Paper Trade) - Overview :

Select your trading instrument in Signals AI — supports Nifty, BankNifty, Sensex, NSE F&O stocks, BTCUSD, ETHUSD, and more indices for signal creation.

Learn how to use RSI, MACD, Stochastic, ROC, Williams %R, Bollinger Bands, ATR, and Special K in Signals AI to build and automate momentum-based strategies.

Access all your saved Signals AI strategies in one place. Configure execution settings, check deployment status, and launch forward tests or live algo trades.

Build, backtest and automate indicator strategies without coding & third-party integrations.

Use the Signals AI Canvas to visually build indicator strategies with comparison, logical, time, and boolean nodes — no coding needed for entry and exit conditions.

Describe your trading strategy in plain English and Signals AI Chatbot instantly builds it on the canvas. Supports voice input, strategy history, and multiple AI modes.

Explore all indicators supported in Signals AI — EMA, SMA, RSI, MACD, VWAP, Supertrend, and more. Build entry and exit conditions without writing any code.

Compare Signals AI plans starting at ₹1,599/month. Get unlimited algo trades, forward tests, AI strategy creation, and backtesting — no coding required.

Backtest your Signals AI indicator strategy on historical data. Analyse win rate, drawdown, P&L, streaks, and year-wise returns before deploying live trades.

Describe your strategy and Signals AI builds it — entry, exit, and indicator conditions using EMA, RSI, MACD, and more. No coding needed.

Use Signals Debug to identify missing trades, incorrect entries, or execution errors in your algo strategy. Copy debug details and resolve issues with support.

Manage, configure, and deploy your Signals AI strategies. Run a forward test in live market conditions or go live with algo trading — all from one dashboard.

Set quantity, order types, execution timing, auto square-off, and monitoring frequency for your Signals AI strategy — configure once before going live.

Visualise your Signals AI strategy on live charts. See exactly where entries and exits trigger, review timestamped logs, and validate logic before going live.

Learn how to use EMA, SMA, WMA, VWAP, Supertrend, ADX, and VWMA in Signals AI to build trend-following strategies — with crossover examples and parameter guides.