R0417: 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 low ≤ +0.06% (≈+15 pts at 25,000) AND 1-min ATR(14) as % of price ≥ 0.0596 AND prior day's close-to-close return is negative at 09:45

Target: price reaches the prior-day high after 09:45 (days not yet at PDH)  ·  Decision time: 09:45 IST (uses bars up to 09:45 only)  ·  Method: subgroup  ·  Family: level / structure

0%train hit (n=66) vs base 24% · lift 0.00
0%OOS hit (n=37) vs base 20% · lift 0.00
[0%–9%]OOS Wilson 95% CI
0.001OOS BH q (all) · family BH q 8.9e-04 · Holm 0.230
5.0e-04OOS matched-random placebo p

Verdict criteria

Train p 3.5e-08; train BH q 5.1e-06; train Holm 0.318 (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
2022360%20%0.00
202360%22%0.00
2024240%28%0.00
2025 (OOS)160%22%0.00
2026 (OOS)210%17%0.00

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.