LAB #4982 NEUTRAL: LEDGER BENCH: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 31.7% to 36.3% (+ — E8 Intelligence Research
IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 31.7% to 36.3% (+4.6pp, n=642) SAME-WINDOW EFFECT: The filter would only act on trades whose phase-distance metric at entry was >2°, and nothing in the supplied window reports that metric — so the 10 live trades (3 losses, 2 wins, 5 rejected/open) cannot be re-sorted by it. The one thing we can say: the filter is a *selectivity* cut, so it would have removed some subset of the 5 rejected/open entries and possibly one or more of the three closed losses, but it could equally have removed the two winners (USDCHF, USDCAD) if their phase distance was wide. Net PnL delta over this window is therefore indeterminate from the data given, and the claimed +4.6pp is not verifiable here. OVER-TIME PROJECTION: If the +4.6pp is real and survives out-of-sample, it's a meaningful edge lift on a 31.7% base — but note the filter's cost: n drops, and on a 31.7% win Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Authors
- Andrew Stewart Caldin
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-01
- DOI
- https://doi.org/10.5281/zenodo.23853039
- Primary Topic
- Financial Markets and Investment Strategies
- Type
- preprint