R0780: 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) > 0.95% (≈237 pts at 25,000) AND 1-min EMA9 − EMA21 (as % of price) > -0.04% (≈-11 pts at 25,000) at 13:00

Target: the day closes more than 150 pts beyond the open in the direction of the move so far  ·  Decision time: 13:00 IST (uses bars up to 13:00 only)  ·  Method: rulefit  ·  Family: level / structure

100%train hit (n=42) vs base 21% · lift 4.84
93%OOS hit (n=27) vs base 28% · lift 3.30
[77%–98%]OOS Wilson 95% CI
2.3e-10OOS BH q (all) · family BH q 1.4e-10 · Holm 2.8e-09
5.0e-04OOS matched-random placebo p

Verdict criteria

Train p 3.6e-29; train BH q 6.1e-25; train Holm 3.3e-22 (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
202220100%26%3.90
20234100%10%10.17
202418100%26%3.77
2025 (OOS)1688%27%3.29
2026 (OOS)11100%30%3.35

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)4257%+21.1+27.3+885.8+334.2+1.7
OOS 2025–262759%+27.4+36.4+739.0+393.6+1.8

equity curve

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