R0264: WATCH

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 > -0.52% (≈-131 pts at 25,000) AND gap measured in the direction of the move so far > +0.17% (≈+43 pts at 25,000) AND India VIX change on the prior day (%) ≤ 7.76 at 09:30

Target: price reaches the prior-day high after 09:30 (days not yet at PDH)  ·  Decision time: 09:30 IST (uses bars up to 09:30 only)  ·  Method: rulefit  ·  Family: level / structure

74%train hit (n=31) vs base 26% · lift 2.88
62%OOS hit (n=13) vs base 23% · lift 2.62
[36%–82%]OOS Wilson 95% CI
0.013OOS BH q (all) · family BH q 0.008 · Holm 1.000
0.009OOS matched-random placebo p

Verdict criteria

Train p 4.8e-08; train BH q 6.6e-06; train Holm 0.437 (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
20221173%22%3.32
20231377%25%3.05
2024771%30%2.39
2025 (OOS)743%27%1.61
2026 (OOS)683%19%4.30

Spot-points backtest (estimated costs)

enter long at 09:30 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)3165%+6.7+12.5+206.6+221.1+1.2
OOS 2025–261369%+5.3+15.8+68.8+304.8+1.2

equity curve

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