Your idea: 1st 5 min range breakout in nifty. buy atm ce when 1st min high is bro… — backtested on Indian market data | FakeTrades
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Your idea: 1st 5 min range breakout in nifty. buy atm ce when 1st min high is bro…

💡 Described strategy
Analysed 26 Oct 2026, 07:45 AM IST
★☆☆☆☆ 1.0 / 5

Detected components (auto-read from transcript)

Intraday

Verdict

Real option-buying backtest. Decoded entry: an opening-range breakout on NIFTY 10-min bars → buy the ATM weekly CE (long) / PE (short), stop 30% / target 17% of premium, square-off by 15:15. Priced on real 1-minute NIFTY option premiums (GFDL, 2015–2026 — every tick of theta, IV crush and gamma is inside these prices), real charges and spread.

1,945 trades on ₹1L: net -386.4% over 12 years (-32.2%/yr, loses money), win 57%, payoff 0.58 (avg win ₹1,264 / avg loss ₹-2,172), max drawdown -407%, worst trade ₹-10,428. 2015: ₹-23,583. 2016: ₹-38,025. 2017: ₹-20,017. 2018: ₹-24,076. 2019: ₹-19,410. 2020: ₹-14,001. 2021: ₹-52,891. 2022: ₹-25,644. 2023: ₹-57,180. 2024: ₹-21,377. 2025: ₹-90,080. 2026: ₹-95.

Option buying is convex — low win-rates are normal; the question is whether winners outrun the premium bleed. Backtested on 12 years of minute-level premium data (2015–2026; monthly contracts before 2019 — weeklies didn't exist; constant 65-unit lot); entries tested intraday as taught. Flagged for human review.

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Is it profitable? (green above the line = made money, red below = lost it)

Year by year (every trade the rules fired, on real NIFTY option premiums — 1 lot, ₹1L)

YearTradesWin %Net P&L
20156754% ₹-23,583
201612647% ₹-38,025
201715353% ₹-20,017
201814653% ₹-24,076
201914860% ₹-19,410
202016462% ₹-14,001
202124759% ₹-52,891
202219463% ₹-25,644
202319056% ₹-57,180
202416058% ₹-21,377
202524456% ₹-90,080
202610664% ₹-95
Full transcript (29 words)
1st 5 min range breakout in nifty. buy atm ce when 1st min high is broke 17 points target in spot chart and 30 points stoploss in spot chart.

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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.