R0920: 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 size of the move from the open to 14:30 (either direction) ≤ 0.13% (≈32 pts at 25,000) AND 1-min Bollinger %B ≥ 0.631 AND prior day's close-to-close return is positive at 14:30

Target: the day closes more than 50 pts beyond the open in the direction of the move so far  ·  Decision time: 14:30 IST (uses bars up to 14:30 only)  ·  Method: subgroup  ·  Family: level / structure

3%train hit (n=33) vs base 65% · lift 0.05
44%OOS hit (n=16) vs base 72% · lift 0.61
[23%–67%]OOS Wilson 95% CI
0.045OOS BH q (all) · family BH q 0.027 · Holm 1.000
0.017OOS matched-random placebo p

Verdict criteria

Train p 8.8e-14; train BH q 6.5e-11; train Holm 8.1e-07 (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
2022138%71%0.11
2023120%57%0.00
202480%68%0.00
2025 (OOS)944%75%0.60
2026 (OOS)743%69%0.62

Spot-points backtest (estimated costs)

enter at 14:30 price against 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)3355%+5.0+10.9+164.5+126.5+1.4
OOS 2025–261619%-30.6-20.9-489.2+489.2+0.2

equity curve

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