LAB #3823 NEUTRAL: LEDGER BENCH: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 32.5% to 37.6% (+ — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 32.5% to 37.6% (+5.1pp, n=587) SAME-WINDOW EFFECT: Applying the phase-distance TIGHT (≤2°) filter to the live window would have eliminated most of the 10 trades listed, since the majority (AUDUSD, NZDUSD, XAUUSD, EURJPY, USDJPY, USDCHF, GBPUSD via rizzy7m) were opened during phase transitions or wider phase spreads. The two confirmed wins (GBPUSD rizzy5m, EURUSD rizzy7m) and the two open trades (AUDUSD, NZDUSD wkjudas) would likely have been filtered out, leaving only the EURJPY loss and possibly the USDJPY loss — a net shift from 2W/4L/2open to roughly 0W/2L/0open. This suggests the +5.1pp win-rate gain in backtest comes from skipping low-quality entries, but in this small live sample it would have removed all winners too, implying the filter is not selective for profitability but for trade frequency reduction. OVER-TIME PROJECTION: Over 3–6 mo Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-06
DOI
https://doi.org/10.5281/zenodo.23179729
Primary Topic
Financial Markets and Investment Strategies
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

LAB #3823 NEUTRAL: LEDGER BENCH: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 32.5% to 37.6% (+ — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Financial Markets and Investment Strategies
preprint

LAB #3823 NEUTRAL: LEDGER BENCH: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 32.5% to 37.6% (+ — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 32.5% to 37.6% (+5.1pp, n=587) SAME-WINDOW EFFECT: Applying the phase-distance TIGHT (≤2°) filter to the live window would have eliminated most of the 10 trades listed, since the majority (AUDUSD, NZDUSD, XAUUSD, EURJPY, USDJPY, USDCHF, GBPUSD via rizzy7m) were opened during phase transitions or wider phase spreads. The two confirmed wins (GBPUSD rizzy5m, EURUSD rizzy7m) and the two open trades (AUDUSD, NZDUSD wkjudas) would likely have been filtered out, leaving only the EURJPY loss and possibly the USDJPY loss — a net shift from 2W/4L/2open to roughly 0W/2L/0open. This suggests the +5.1pp win-rate gain in backtest comes from skipping low-quality entries, but in this small live sample it would have removed all winners too, implying the filter is not selective for profitability but for trade frequency reduction. OVER-TIME PROJECTION: Over 3–6 mo Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Financial Markets and Investment Strategies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.