Your idea: Based on the algorithm configuration shown in the image, here are the…

💡 Described strategy

Analysed 06 Sep 2026, 07:24 AM IST

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

Verdict

Not auto-backtested — honestly, we can't. AI-decoded: Intraday index option-selling strategy triggered by RBO (Opening-Range Breakout) above/below levels, entered before 3:15 PM on near-expiry contracts (< 2 days), exits via leg-level stops.

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 options structure we don't have cached premiums for, 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.

See strategies that scored 4★+ →

Know someone trading this? 📲 Share on WhatsApp

Full transcript (153 words)

Based on the algorithm configuration shown in the image, here are the entry and exit conditions translated into plain English: Case 1 * Entry Condition: A trade is entered when all of the following criteria are met: * The current candle's close price is above the RBO High. * The time of day is before 3:15 PM (15:15:00). * The number of days remaining until expiry is less than 2. * Exit Condition: Empty (No specific global exit condition is set here; trades exit via leg-level stop-losses, trailing stop-losses, or adjustments). Case 2 * Entry Condition: A trade is entered when all of the following criteria are met: * The current candle's close price is below the RBO Low. * The time of day is before 3:15 PM (15:15:00). * The number of days remaining until expiry is less than 2. * Exit Condition: Empty (No specific global exit condition is set here).

💬 Trader reviews (traded this? tell others what really happened)

No reviews yet — be the first. Real experiences help other traders more than any backtest.

User opinions, not investment advice. Reviews are moderated before publishing.

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.