Your idea: "NIFTY and BANKNIFTY index, 5-minute candles, intraday: buy the ATM ca…

💡 Described strategy

Analysed 23 Oct 2026, 09:08 PM IST

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

Detected components (auto-read from transcript)

Intraday ADXATROpening rangePrev-day H/L

Verdict

Not auto-backtested — honestly, we can't. AI-decoded: Intraday ATM long-call/put buying on NIFTY/BANKNIFTY 5-min candles using a 4-of-5 multi-condition entry (daily EMA, PDH, 5m/15m EMA cross, opening range, ADX) with scaled exits and daily loss cap.

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 directional option BUYING (needs intraday/tick option data), 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 (174 words)

"NIFTY and BANKNIFTY index, 5-minute candles, intraday: buy the ATM call (nearest expiry) on a 5-minute close between 09:20 and 14:30 when at least 4 of these 5 are true: daily EMA20 is above daily EMA50, price is above the previous day's high, 5-minute EMA9 is above 15-minute EMA20, price is above the 09:15–09:30 opening range high, and ADX(14) is 22 or higher. Buy the ATM put when at least 4 of the 5 opposite conditions are true. Skip if the premium is below ₹40 or above ₹600, and switch to the next expiry after 11:00 on expiry day. Stop loss: exit when the index moves 1.5x ATR(14) against the trade or the premium falls 12%, whichever comes first. Sell half at 1.4x the risk and move the stop on the rest to breakeven, then exit the rest at 2.5x the risk. Square off everything at 15:15. Max 2 trades per index per day, 30 minutes between entries, one open trade per index, 1 lot, and stop for the day after a ₹2,500 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.