Multi-indicator options trading strategies with AI and no code – build, backtest, optimize and automate on AlgoTest’s Signals AI, without TradingView. In this live session we build an EMA 9/26 crossover strategy directly on a Nifty options chart, review the AI-generated logic, backtest across 7 years, optimize by DTE, and deploy live to a broker.
Use any indicator – EMA, SMA, RSI, MACD, SuperTrend, Bollinger Bands, VWAP, ADX, ATR and more — on any timeframe, any instrument (Nifty, Sensex, BankNifty, stocks, crypto) and any chart type (spot, futures, options, combined premium). Everything end to end on one platform: create → backtest → forward test → algo trade. Plus a new feature: choose exactly which weekdays or DTEs your strategy is allowed to trade.
⏱️ Chapters:
00: 00 — Intro: Multi-Indicator Options Strategies
03: 22 — What Signals AI Can Do
05: 40 — Choosing Your AI Model
06: 52 — Which Indicators Are Available?
08: 24 — The Strategy: EMA Crossover on an Options Chart
09: 02 — Visualizing It on the Chart
12: 05 — Explaining Entry & Exit to the AI Agent
15: 47 — The AI Builds the Strategy
24: 21 — Signal vs Trade: Connecting a Trade
26: 12 — Leg Builder: ATM Call Buy with Stop Loss
35: 45 — Backtesting 7 Years of Data
40: 07 — NEW: Choosing Execution Days (Weekday / DTE)
41: 14 — Deploying: Forward Test & Algo Trade
42: 54 — Signals Plans
44: 33 — Live Q&A
50: 37 — Full Recap
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Disclaimer:
This video was created by AlgoTest for the sole purpose of education and demonstration of the AlgoTest futures and options backtesting platform as well as the live/paper deployment service that it provides. This is NOT financial advice and is also NOT a strategy recommendation. Please do your own backtesting, research and thorough due diligence before investing or trading in the stock market.
Options are leveraged financial instruments and can lead to financial loss of varying levels if trading is attempted without the requisite knowledge, research and/or experience. AlgoTest will not be responsible for the aforementioned loss or profit that is gained by the use of its platform.
Past performance does NOT guarantee of future results. For more information, visit algotest.in