R0414: 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 price vs prior-day high > -0.45% (≈-112 pts at 25,000) AND CPR width > 0.11% (≈28 pts at 25,000) at 09:45

Target: price reaches the prior-day high after 09:45 (days not yet at PDH)  ·  Decision time: 09:45 IST (uses bars up to 09:45 only)  ·  Method: rulefit  ·  Family: level / structure

68%train hit (n=62) vs base 24% · lift 2.86
47%OOS hit (n=43) vs base 20% · lift 2.36
[33%–61%]OOS Wilson 95% CI
4.3e-04OOS BH q (all) · family BH q 2.6e-04 · Holm 0.054
5.0e-04OOS matched-random placebo p

Verdict criteria

Train p 5.4e-13; train BH q 3.3e-10; train Holm 5.0e-06 (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
20221878%20%3.84
20232268%22%3.05
20242259%28%2.10
2025 (OOS)3139%22%1.76
2026 (OOS)1267%17%3.97

Spot-points backtest (estimated costs)

enter long at 09:45 price, take profit at PDH; 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)6260%-5.4+0.7-333.7+399.4+0.8
OOS 2025–264347%-24.4-14.9-1050.0+1271.3+0.5

equity curve

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