R0366: 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 opening-range size > 0.74% (≈186 pts at 25,000) at 09:45

Target: the day closes more than 150 pts beyond the open in the direction of the move so far · Decision time: 09:45 IST (uses bars up to 09:45 only) · Method: rulefit · Family: level / structure

50%train hit (n=30) vs base 17% · lift 2.94

52%OOS hit (n=25) vs base 25% · lift 2.08

[33%–70%]OOS Wilson 95% CI

0.012OOS BH q (all) · family BH q 0.007 · Holm 1.000

0.004OOS matched-random placebo p

Verdict criteria

✔ Out-of-sample lift in the same direction as train
✔ OOS Wilson 95% CI excludes the OOS base rate
✔ OOS BH q ≤ 0.05 across all candidates tested OOS AND within its target family
✔ Train BH q ≤ 0.05 (across all hypotheses searched)
✔ Stable by year (same direction in ≥80% of years with ≥10 days, incl. every OOS year with ≥10)
✔ OOS matched-random placebo p ≤ 0.05
✔ OOS sample ≥ 20 days

Train p 6.6e-05; train BH q 0.002; train Holm 1.000 (corrections over all 9,242,869 hypotheses); whole-pipeline shuffled-label placebo family-wise p 1.000 (100 permutations). Extra conditions beat the best single condition OOS: None.

By year

year	rule days	hit	base (all days)	lift
2022	17	65%	23%	2.84
2023	7	29%	7%	3.87
2024	6	33%	21%	1.61
2025 (OOS)	11	73%	25%	2.91
2026 (OOS)	14	36%	25%	1.42

Spot-points backtest (estimated costs)

enter at 09:45 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.

window	trades	win rate	avg net pts	avg gross pts	total net	max DD pts	PF
train 2022–24 (in-sample)	30	30%	-19.2	-13.5	-574.8	+924.5	+0.7
OOS 2025–26	25	20%	-47.4	-37.7	-1185.1	+1344.1	+0.4

equity curve

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