R0280: 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 low ≤ +0.27% (≈+66 pts at 25,000) AND India VIX (prior day's close) ≤ 13.9 at 09:30

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

84%train hit (n=32) vs base 28% · lift 3.05
71%OOS hit (n=31) vs base 26% · lift 2.69
[53%–84%]OOS Wilson 95% CI
4.5e-06OOS BH q (all) · family BH q 2.7e-06 · Holm 2.6e-04
5.0e-04OOS matched-random placebo p

Verdict criteria

Train p 7.1e-11; train BH q 2.4e-08; train Holm 6.6e-04 (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
20221100%27%3.73
20232190%27%3.39
20241070%29%2.38
2025 (OOS)2774%29%2.52
2026 (OOS)450%22%2.32

Spot-points backtest (estimated costs)

enter short at 09:30 price, take profit at PDL; 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)3284%+13.7+19.9+437.0+210.6+2.2
OOS 2025–263174%+0.9+10.1+26.4+441.6+1.0

equity curve

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