R0756: 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 13:00 (either direction) > 0.29% (≈73 pts at 25,000) AND prior-day range ≤ 0.99% (≈248 pts at 25,000) AND (expiry is 2 trading days away or expiry is 3+ trading days away) at 13:00

Target: the day closes on the same side of the open as the move so far  ·  Decision time: 13:00 IST (uses bars up to 13:00 only)  ·  Method: tree  ·  Family: level / structure

100%train hit (n=115) vs base 79% · lift 1.27
96%OOS hit (n=72) vs base 83% · lift 1.15
[88%–99%]OOS Wilson 95% CI
0.004OOS BH q (all) · family BH q 0.003 · Holm 0.771
0.001OOS matched-random placebo p

Verdict criteria

Train p 3.6e-12; train BH q 1.8e-09; train Holm 3.3e-05 (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: True.

By year

yearrule dayshitbase (all days)lift
202234100%80%1.26
202334100%76%1.31
202447100%81%1.23
2025 (OOS)4798%85%1.16
2026 (OOS)2592%81%1.13

Spot-points backtest (estimated costs)

enter at 13:00 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.

windowtradeswin rateavg net ptsavg gross ptstotal netmax DD ptsPF
train 2022–24 (in-sample)11546%-4.4+1.8-511.7+1192.0+0.8
OOS 2025–267251%+4.3+14.3+309.7+644.8+1.2

equity curve

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