R0762: PASS

Descriptive statistics, no trading costs in the probabilities (the backtest columns alone use estimated costs). Rules were discovered and tuned on 2022-01 → 2024-12 only, frozen, then tested once on 2025-01 → 2026-10. Millions of hypotheses were searched, so read the corrected p-values and the out-of-sample columns, not the training hit rates. Not investment advice; not a trading system.

Rule: When move from the open to 13:00 ≤ -0.43% (≈-107 pts at 25,000) AND size of the opening gap ≤ 0.22% (≈55 pts at 25,000) AND price vs session TWAP (time-weighted VWAP) is negative at 13:00

Target: the day closes on the same side of the open as the move so far  ·  Decision time: 13:00 IST (uses bars up to 13:00 only)  ·  Method: subgroup  ·  Family: level / structure

100%train hit (n=51) vs base 79% · lift 1.27
100%OOS hit (n=42) vs base 83% · lift 1.20
[92%–100%]OOS Wilson 95% CI
0.002OOS BH q (all) · family BH q 0.001 · Holm 0.330
5.0e-04OOS matched-random placebo p

Verdict criteria

Train p 1.2e-05; train BH q 6.6e-04; train Holm 1.000 (corrections over all 9,242,869 hypotheses); whole-pipeline shuffled-label placebo family-wise p 1.000 (100 permutations). Extra conditions beat the best single condition OOS: True.

By year

yearrule dayshitbase (all days)lift
202210100%80%1.26
202319100%76%1.31
202422100%81%1.23
2025 (OOS)24100%85%1.18
2026 (OOS)18100%81%1.23

Spot-points backtest (estimated costs)

enter at 13:00 price in the move direction; stop 0.4% of entry; exit at close. Costs: Nifty futures round-trip model from nifty-setups-backtest/src/costs.py (brokerage, exchange, SEBI, stamp, GST, STT by date: 0.0125% → 0.02% from Oct-2024 → 0.05% from Apr-2026) + 0.5 pt slippage per side; spot used as a futures proxy (basis ignored); stop-first on ambiguous bars.

windowtradeswin rateavg net ptsavg gross ptstotal netmax DD ptsPF
train 2022–24 (in-sample)5147%+0.2+6.7+7.9+628.6+1.0
OOS 2025–264245%+11.6+21.6+486.8+390.9+1.4

equity curve

trades.csv · Generated 2026-10-10 00:44 IST.