LAB #1024 NEUTRAL: LEDGER BENCH: Apply filter: BTCUSD LONG — improves win rate from 31.5% to 38.0% (+6.5pp, n=50) — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: BTCUSD LONG — improves win rate from 31.6% to 38.0% (+6.4pp, n=50) SAME-WINDOW EFFECT: Applying a BTCUSD LONG filter would have no direct effect on the current live trade window, as none of the 10 listed trades involve BTCUSD. The filter would not alter any existing positions, win/loss outcomes, or PnL. The +6.4pp win-rate improvement from backtests is not testable against this specific window, so the immediate delta is zero. OVER-TIME PROJECTION: Over 3-6 months, the filter could improve overall win rate by 2-4pp if BTCUSD LONG setups continue to outperform the baseline, but the effect is diluted because BTCUSD trades represent a small fraction of total volume. Risk includes overfitting to a specific market regime (e.g., trending BTCUSD) that may reverse, causing the filter to become detrimental. Additionally, the small sample size (n=50) in the backtest raises concerns about statistical significan 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
2026-08-14
DOI
https://doi.org/10.5281/zenodo.21928853
Primary Topic
Intelligence, Security, War Strategy
Type
preprint
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LAB #1024 NEUTRAL: LEDGER BENCH: Apply filter: BTCUSD LONG — improves win rate from 31.5% to 38.0% (+6.5pp, n=50) — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Intelligence, Security, War Strategy
preprint

LAB #1024 NEUTRAL: LEDGER BENCH: Apply filter: BTCUSD LONG — improves win rate from 31.5% to 38.0% (+6.5pp, n=50) — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: BTCUSD LONG — improves win rate from 31.6% to 38.0% (+6.4pp, n=50) SAME-WINDOW EFFECT: Applying a BTCUSD LONG filter would have no direct effect on the current live trade window, as none of the 10 listed trades involve BTCUSD. The filter would not alter any existing positions, win/loss outcomes, or PnL. The +6.4pp win-rate improvement from backtests is not testable against this specific window, so the immediate delta is zero. OVER-TIME PROJECTION: Over 3-6 months, the filter could improve overall win rate by 2-4pp if BTCUSD LONG setups continue to outperform the baseline, but the effect is diluted because BTCUSD trades represent a small fraction of total volume. Risk includes overfitting to a specific market regime (e.g., trending BTCUSD) that may reverse, causing the filter to become detrimental. Additionally, the small sample size (n=50) in the backtest raises concerns about statistical significan Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Intelligence, Security, War Strategy
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LAB #1024 NEUTRAL: LEDGER BENCH: Apply filter: BTCUSD LONG — improves win rate from 31.5% to 38.0% (+6.5pp, n=50) — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS