Your idea: I want to build a new intraday strategy for Nifty and Sensex. It will…

💡 Described strategy

Analysed 05 Sep 2026, 11:26 PM IST

⏳ Backtest pending — a data-backed verdict will be attached.

Detected components (auto-read from transcript)

Intraday SupertrendEMAHeikin-Ashi

Verdict

Not auto-backtested — honestly, we can't. AI-decoded: 0DTE/1DTE intraday ATM/OTM straddle selling on NIFTY/SENSEX with Supertrend(10,1) + EMA(9) entry/exit on 5min Heikin-Ashi premium chart; entry at 9:20AM, square-off by 3:10PM.

We give real option backtests only for fixed-entry option-selling structures (weekly credit/ratio spreads) priced on real cached NIFTY premiums. This one is an intraday chart-signal entry (not a fixed day/time), which needs intraday/tick option data and a chart-signal engine we don't have — so we show no number rather than a misleading proxy. Flagged for a hand-built review.

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Full transcript (154 words)

I want to build a new intraday strategy for Nifty and Sensex. It will run on 0DTE & 1DTE for Nifty and Sensex. Start at 9.20AM. Timeframe is 5mins. Find Nifty ATM or OTM strike with premium close to 60 rupees. For sensex, find ATM or OTM strike with premium close to 100 rupees. Now for trade entry we will go to option premium chart and calculate heikin Ashi candles on 5min timeframe. Then apply supertrend (10,1) and EMA 9 on it. Enter into that option leg when candle is red, close is below supertrend, close is lower than prev candle's low and also low than EMA 9. Exit from that leg when close is greater than prev candle's high and close is greater than EMA9. Or exit the leg when close is greater than supertrend. No entry after 3PM. Squareoff at 3.10PM. Or, squareoff at 3PM if currently running trade is in loss.

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Results are AI-generated from stored historical market data and are for educational purposes only — they cannot be treated as 100% accurate, nor as investment advice or a recommendation to buy or sell any security. Strategies from non-Indian markets are also backtested on Indian market data only. Past performance does not guarantee future results.