LAB #306 NEUTRAL: LEDGER BENCH: Apply filter: BTCUSD LONG @ ASIAN with 6 conf — improves win rate from 32.3% to 66.7% — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: BTCUSD LONG @ ASIAN with 6 conf — improves win rate from 32.3% to 66.7% (+34.4pp, n=6) SAME-WINDOW EFFECT: Over the current trade window, no BTCUSD LONG trades were taken, so this filter would have had zero direct impact. The 6-conf filter on Asian-session BTCUSD longs is a narrow, low-frequency rule — it would not have altered any of the 10 listed trades. The win-rate improvement from 32.3% to 66.7% is based on only 6 historical samples, so the PnL delta in this window would be negligible. OVER-TIME PROJECTION: Over 3-6 months, this filter may produce a modest win-rate boost on a very small subset of trades, but the sample size (n=6) is dangerously small for statistical confidence. The risk is overfitting to a handful of favorable Asian-session BTCUSD setups that may not repeat. If the 6-conf condition is too strict, it could filter out profitable trades and reduce total opportunity cost. The 34.4p 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
2026-07-28
DOI
https://doi.org/10.5281/zenodo.21637460
Primary Topic
Intelligence, Security, War Strategy
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

LAB #306 NEUTRAL: LEDGER BENCH: Apply filter: BTCUSD LONG @ ASIAN with 6 conf — improves win rate from 32.3% to 66.7% — E8 Intelligence Research

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

LAB #306 NEUTRAL: LEDGER BENCH: Apply filter: BTCUSD LONG @ ASIAN with 6 conf — improves win rate from 32.3% to 66.7% — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: BTCUSD LONG @ ASIAN with 6 conf — improves win rate from 32.3% to 66.7% (+34.4pp, n=6) SAME-WINDOW EFFECT: Over the current trade window, no BTCUSD LONG trades were taken, so this filter would have had zero direct impact. The 6-conf filter on Asian-session BTCUSD longs is a narrow, low-frequency rule — it would not have altered any of the 10 listed trades. The win-rate improvement from 32.3% to 66.7% is based on only 6 historical samples, so the PnL delta in this window would be negligible. OVER-TIME PROJECTION: Over 3-6 months, this filter may produce a modest win-rate boost on a very small subset of trades, but the sample size (n=6) is dangerously small for statistical confidence. The risk is overfitting to a handful of favorable Asian-session BTCUSD setups that may not repeat. If the 6-conf condition is too strict, it could filter out profitable trades and reduce total opportunity cost. The 34.4p 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
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.

LAB #306 NEUTRAL: LEDGER BENCH: Apply filter: BTCUSD LONG @ ASIAN with 6 conf — improves win rate from 32.3% to 66.7% — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS