R0884: WATCH

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) ≤ 0.05% (≈12 pts at 25,000) AND price vs prior-day high ≤ +0.13% (≈+32 pts at 25,000) AND price vs prior-day low > +0.25% (≈+63 pts at 25,000) at 14:30

Target: the day closes on the same side of the open as the move so far  ·  Decision time: 14:30 IST (uses bars up to 14:30 only)  ·  Method: rulefit  ·  Family: level / structure

28%train hit (n=32) vs base 87% · lift 0.32
56%OOS hit (n=18) vs base 91% · lift 0.61
[34%–75%]OOS Wilson 95% CI
6.3e-04OOS BH q (all) · family BH q 3.8e-04 · Holm 0.086
5.0e-04OOS matched-random placebo p

Verdict criteria

Train p 4.7e-14; train BH q 3.7e-11; train Holm 4.3e-07 (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
2022617%87%0.19
20231225%87%0.29
20241436%88%0.41
2025 (OOS)1146%92%0.49
2026 (OOS)771%88%0.81

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.

windowtradeswin rateavg net ptsavg gross ptstotal netmax DD ptsPF
train 2022–24 (in-sample)3272%+26.1+32.3+834.1+32.1+6.3
OOS 2025–261839%-0.2+9.3-3.0+150.8+1.0

equity curve

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