LAB #4152 NEUTRAL: LEDGER BENCH: Apply filter: Session = LONDON — improves win rate from 32.5% to 38.1% (+5.5pp, n=21) — E8 Intelligence Research
- 1Independent Researcher, United Kingdom
Abstract
IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Session = LONDON — improves win rate from 32.5% to 38.1% (+5.5pp, n=21)
SAME-WINDOW EFFECT: Applying the LONDON session filter to the live window above would have excluded the two wkjudas trades from 2026-09-01 (GBPUSD LONG and USDJPY SHORT, both losses) and the AUDUSD SHORT via rizzy7m (loss), while retaining the NZDUSD SHORT win and the GBPUSD SHORT win. That removes 3 losses and keeps 2 wins, shifting the live window from 2W/5L (28.6%) to 2W/2L (50%) — a +21.4pp improvement, though on a tiny n=4. PnL delta is positive but dominated by avoiding the three losing trades, not by adding new winners.
OVER-TIME PROJECTION: Over 3-6 months, the LONDON filter would likely raise win rate modestly (as backtest suggests) but the real risk is overfitting to a 21-trade sample — the +5.5pp could be noise, especially since LONDON sessions often have higher volatility and wider spreads, which may degrade risk-rew
Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Related
- LAB #4419 NEUTRAL: LEDGER BENCH: Apply filter: Session = OFF_SESSION — improves win rate from 31.6% to 41.9% (+10.3pp, — E8 Intelligence Research
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- LAB #4462 NEUTRAL: LEDGER BENCH: Apply filter: Session = LONDON_OPEN — improves win rate from 31.5% to 34.8% (+3.3pp, n — E8 Intelligence Research
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BibTeX
@misc{caldin20264152,
title = {{LAB #4152 NEUTRAL: LEDGER BENCH: Apply filter: Session = LONDON — improves win rate from 32.5% to 38.1% (+5.5pp, n=21) — E8 Intelligence Research}},
author = {Andrew Stewart Caldin},
howpublished = {Zenodo},
year = {2026},
month = oct,
doi = {10.5281/zenodo.23431154},
url = {https://zenodo.org/records/23431154},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - LAB #4152 NEUTRAL: LEDGER BENCH: Apply filter: Session = LONDON — improves win rate from 32.5% to 38.1% (+5.5pp, n=21) — E8 Intelligence Research
AU - Andrew Stewart Caldin
PY - 2026
DA - 2026/10/17
PB - Zenodo
DO - 10.5281/zenodo.23431154
UR - https://zenodo.org/records/23431154
AB - IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Session = LONDON — improves win rate from 32.5% to 38.1% (+5.5pp, n=21) SAME-WINDOW EFFECT: Applying the LONDON session filter to the live window above would have excluded the two wkjudas trades from 2026-09-01 (GBPUSD LONG and USDJPY SHORT, both losses) and the AUDUSD SHORT via rizzy7m (loss), while retaining the NZDUSD SHORT win and the GBPUSD SHORT win. That removes 3 losses and keeps 2 wins, shifting the live window from 2W/5L (28.6%) to 2W/2L (50%) — a +21.4pp improvement, though on a tiny n=4. PnL delta is positive but dominated by avoiding the three losing trades, not by adding new winners. OVER-TIME PROJECTION: Over 3-6 months, the LONDON filter would likely raise win rate modestly (as backtest suggests) but the real risk is overfitting to a 21-trade sample — the +5.5pp could be noise, especially since LONDON sessions often have higher volatility and wider spreads, which may degrade risk-rew Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
ER -