R0283: 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 session TWAP (time-weighted VWAP) ≤ -0.02% (≈-5 pts at 25,000) AND price vs prior-day low ≤ +0.40% (≈+100 pts at 25,000) AND prior day's close-to-close return ≤ -0.10% (≈-25 pts at 25,000) at 09:30

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

79%train hit (n=33) vs base 28% · lift 2.85
62%OOS hit (n=24) vs base 26% · lift 2.37
[43%–79%]OOS Wilson 95% CI
0.001OOS BH q (all) · family BH q 6.7e-04 · Holm 0.170
0.003OOS matched-random placebo p

Verdict criteria

Train p 3.0e-09; train BH q 6.2e-07; train Holm 0.027 (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
20221090%27%3.36
20231369%27%2.60
20241080%29%2.72
2025 (OOS)1867%29%2.27
2026 (OOS)650%22%2.32

Spot-points backtest (estimated costs)

enter short at 09:30 price, take profit at PDL; 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)3373%-4.3+2.0-142.8+250.5+0.8
OOS 2025–262467%-12.4-2.5-296.9+540.4+0.6

equity curve

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