R0961: 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 low ≤ +0.35% (≈+88 pts at 25,000) AND 1-min EMA9 − EMA21 (as % of price) is negative at 14:30

Target: price reaches the prior-day low after 14:30 (days not yet at PDL)  ·  Decision time: 14:30 IST (uses bars up to 14:30 only)  ·  Method: subgroup  ·  Family: level / structure

50%train hit (n=30) vs base 5% · lift 9.55
17%OOS hit (n=23) vs base 3% · lift 5.71
[7%–37%]OOS Wilson 95% CI
0.016OOS BH q (all) · family BH q 0.010 · Holm 1.000
0.091OOS matched-random placebo p

Verdict criteria

Train p 8.9e-12; train BH q 4.0e-09; train Holm 8.3e-05 (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
2022367%4%17.07
20231553%6%8.16
20241242%5%8.27
2025 (OOS)1822%4%5.11
2026 (OOS)50%1%0.00

Spot-points backtest (estimated costs)

enter short at 14:30 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)3067%+6.8+12.8+204.1+135.0+1.6
OOS 2025–262339%-13.2-3.7-302.6+310.4+0.4

equity curve

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