R0274: 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 high ≤ -0.93% (≈-232 pts at 25,000) AND 1-min ATR(14) as % of price ≥ 0.0833 AND prior day's close-to-close return is negative at 09:30

Target: price reaches the prior-day high after 09:30 (days not yet at PDH)  ·  Decision time: 09:30 IST (uses bars up to 09:30 only)  ·  Method: subgroup  ·  Family: level / structure

0%train hit (n=70) vs base 26% · lift 0.00
4%OOS hit (n=28) vs base 23% · lift 0.15
[1%–18%]OOS Wilson 95% CI
0.017OOS BH q (all) · family BH q 0.011 · Holm 1.000
0.003OOS matched-random placebo p

Verdict criteria

Train p 1.7e-09; train BH q 3.8e-07; train Holm 0.016 (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
2022410%22%0.00
202380%25%0.00
2024210%30%0.00
2025 (OOS)110%27%0.00
2026 (OOS)176%19%0.30

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.

windowtradeswin rateavg net ptsavg gross ptstotal netmax DD ptsPF
train 2022–24 (in-sample)0––––––
OOS 2025–260––––––

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