R0915: 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 opening-range size ≥ 0.44% (≈110 pts at 25,000) at 14:30

Target: the day closes more than 50 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=91) vs base 65% · lift 1.53
100%OOS hit (n=55) vs base 72% · lift 1.39
[93%–100%]OOS Wilson 95% CI
3.6e-07OOS BH q (all) · family BH q 2.2e-07 · Holm 1.3e-05
5.0e-04OOS matched-random placebo p

Verdict criteria

Train p 2.7e-17; train BH q 4.5e-14; train Holm 2.5e-10 (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: False.

By year

yearrule dayshitbase (all days)lift
202247100%71%1.41
202314100%57%1.76
202430100%68%1.46
2025 (OOS)29100%75%1.34
2026 (OOS)26100%69%1.46

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)9147%-0.4+5.8-33.4+592.2+1.0
OOS 2025–265535%-14.4-4.5-791.8+791.8+0.6

equity curve

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