R0555: 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 price vs prior-day high > -0.39% (≈-98 pts at 25,000) AND 1-min ATR(14) as % of price > 0.0301 AND size of the opening gap > 0.17% (≈41 pts at 25,000) at 10:15

Target: price reaches the prior-day high after 10:15 (days not yet at PDH)  ·  Decision time: 10:15 IST (uses bars up to 10:15 only)  ·  Method: rulefit  ·  Family: level / structure

84%train hit (n=31) vs base 21% · lift 4.08
47%OOS hit (n=17) vs base 16% · lift 2.91
[26%–69%]OOS Wilson 95% CI
0.010OOS BH q (all) · family BH q 0.006 · Holm 1.000
0.007OOS matched-random placebo p

Verdict criteria

Train p 1.6e-13; train BH q 1.1e-10; train Holm 1.5e-06 (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

yearrule dayshitbase (all days)lift
20221164%18%3.54
20237100%18%5.52
20241392%25%3.67
2025 (OOS)933%18%1.81
2026 (OOS)862%13%4.69

Spot-points backtest (estimated costs)

enter long at 10:15 price, take profit at PDH; 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)3174%+12.9+19.1+401.4+318.0+1.6
OOS 2025–261753%-27.0-16.7-458.6+542.6+0.4

equity curve

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