R0719: 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 ≥ -0.17% (≈-42 pts at 25,000) AND India VIX change on the prior day (%) is negative AND price is above the opening-range high at 11:00

Target: price reaches the prior-day low after 11:00 (days not yet at PDL)  ·  Decision time: 11:00 IST (uses bars up to 11:00 only)  ·  Method: subgroup  ·  Family: level / structure

0%train hit (n=77) vs base 18% · lift 0.00
0%OOS hit (n=39) vs base 16% · lift 0.00
[0%–9%]OOS Wilson 95% CI
0.006OOS BH q (all) · family BH q 0.003 · Holm 1.000
0.015OOS matched-random placebo p

Verdict criteria

Train p 5.7e-07; train BH q 5.4e-05; train Holm 1.000 (corrections over all 9,242,869 hypotheses); whole-pipeline shuffled-label placebo family-wise p 0.277 (100 permutations). Extra conditions beat the best single condition OOS: True.

By year

yearrule dayshitbase (all days)lift
2022210%19%0.00
2023310%20%0.00
2024250%14%0.00
2025 (OOS)220%15%0.00
2026 (OOS)170%16%0.00

Spot-points backtest (estimated costs)

n/a (lower-probability reach rule). 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)0––––––
OOS 2025–260––––––

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