R0889: 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 size of the move from the open to 14:30 (either direction) ≥ 0.76% (≈190 pts at 25,000) AND price has already touched the prior-day high AND it is not expiry day at 14:30

Target: the day closes more than 100 pts beyond the open in the direction of the move so far  ·  Decision time: 14:30 IST (uses bars up to 14:30 only)  ·  Method: subgroup  ·  Family: level / structure

100%train hit (n=50) vs base 38% · lift 2.60
100%OOS hit (n=23) vs base 47% · lift 2.12
[86%–100%]OOS Wilson 95% CI
7.0e-07OOS BH q (all) · family BH q 4.2e-07 · Holm 2.9e-05
5.0e-04OOS matched-random placebo p

Verdict criteria

Train p 3.3e-21; train BH q 1.2e-17; train Holm 3.0e-14 (corrections over all 9,242,869 hypotheses); whole-pipeline shuffled-label placebo family-wise p 0.010 (100 permutations). Extra conditions beat the best single condition OOS: True.

By year

yearrule dayshitbase (all days)lift
202221100%43%2.32
202311100%26%3.77
202418100%46%2.20
2025 (OOS)16100%47%2.12
2026 (OOS)7100%47%2.12

Spot-points backtest (estimated costs)

enter at 14:30 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)5048%+1.9+7.9+96.8+500.7+1.1
OOS 2025–262343%+9.1+18.2+209.7+247.2+1.4

equity curve

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