R0849: 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 ≥ +0.68% (≈+171 pts at 25,000) AND the day opened inside the prior-day range AND it is not expiry day at 13:00

Target: price reaches the prior-day low after 13:00 (days not yet at PDL) · Decision time: 13:00 IST (uses bars up to 13:00 only) · Method: subgroup · Family: level / structure

0%train hit (n=101) vs base 10% · lift 0.00

0%OOS hit (n=63) vs base 8% · lift 0.00

[-0%–6%]OOS Wilson 95% CI

0.015OOS BH q (all) · family BH q 0.009 · Holm 1.000

0.042OOS 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 5.0e-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: True.

By year

year	rule days	hit	base (all days)
2022	30	0%	10%
2023	28	0%	11%
2024	43	0%	8%
2025 (OOS)	35	0%	8%
2026 (OOS)	28	0%	9%

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.

window	trades	win rate	avg net pts	avg gross pts	total net	max DD pts	PF
train 2022–24 (in-sample)	0	–	–	–	–	–	–
OOS 2025–26	0	–	–	–	–	–	–

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