R0896: 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 size of the move from the open to 14:30 (either direction) ≤ 0.13% (≈32 pts at 25,000) AND price vs session TWAP (time-weighted VWAP) is positive at 14:30

Target: the day closes more than 100 pts beyond the open in the direction of the move so far · Decision time: 14:30 IST (uses bars up to 14:30 only) · Method: subgroup · Family: level / structure

0%train hit (n=81) vs base 38% · lift 0.00

11%OOS hit (n=35) vs base 47% · lift 0.24

[5%–26%]OOS Wilson 95% CI

7.4e-05OOS BH q (all) · family BH q 4.5e-05 · Holm 0.007

5.0e-04OOS 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 1.8e-17; train BH q 3.1e-14; train Holm 1.7e-10 (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

year	rule days	hit	base (all days)	lift
2022	24	0%	43%	0.00
2023	32	0%	26%	0.00
2024	25	0%	46%	0.00
2025 (OOS)	18	11%	47%	0.24
2026 (OOS)	17	12%	47%	0.25

Spot-points backtest (estimated costs)

enter at 14:30 price against 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)	81	49%	+3.6	+9.5	+289.8	+361.2	+1.2
OOS 2025–26	35	20%	-30.2	-19.2	-1058.4	+1132.5	+0.2

equity curve

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