LAB #2302 NEUTRAL: LEDGER BENCH: Apply filter: NZDUSD LONG — improves win rate from 31.5% to 36.8% (+5.2pp, n=68) — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: NZDUSD LONG — improves win rate from 31.5% to 36.8% (+5.2pp, n=68) SAME-WINDOW EFFECT: Over the current 10-trade window, no NZDUSD trades appear, so the filter would have changed nothing — zero trades affected, zero PnL delta. The claimed +5.2pp win-rate improvement is derived from a separate backtest (n=68) that does not overlap with the live window shown. Therefore, this adjustment is untestable against the provided live data; it neither helps nor hurts the current open positions. OVER-TIME PROJECTION: Over 3–6 months, a NZDUSD-LONG-only filter could plausibly improve win rate if the backtest is not overfit, but the sample (n=68) is small and the +5.2pp gain is within noise for a 31.5% baseline (standard error ≈ 5.8pp). The filter also reduces trade frequency and may introduce selection bias — NZDUSD long conditions may correlate with specific market regimes (e.g., risk-on, commodity strength) tha 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
2026-09-16
DOI
https://doi.org/10.5281/zenodo.22787030
Primary Topic
Competitive and Knowledge Intelligence
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
preprint

LAB #2302 NEUTRAL: LEDGER BENCH: Apply filter: NZDUSD LONG — improves win rate from 31.5% to 36.8% (+5.2pp, n=68) — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Competitive and Knowledge Intelligence
preprint

LAB #2302 NEUTRAL: LEDGER BENCH: Apply filter: NZDUSD LONG — improves win rate from 31.5% to 36.8% (+5.2pp, n=68) — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: NZDUSD LONG — improves win rate from 31.5% to 36.8% (+5.2pp, n=68) SAME-WINDOW EFFECT: Over the current 10-trade window, no NZDUSD trades appear, so the filter would have changed nothing — zero trades affected, zero PnL delta. The claimed +5.2pp win-rate improvement is derived from a separate backtest (n=68) that does not overlap with the live window shown. Therefore, this adjustment is untestable against the provided live data; it neither helps nor hurts the current open positions. OVER-TIME PROJECTION: Over 3–6 months, a NZDUSD-LONG-only filter could plausibly improve win rate if the backtest is not overfit, but the sample (n=68) is small and the +5.2pp gain is within noise for a 31.5% baseline (standard error ≈ 5.8pp). The filter also reduces trade frequency and may introduce selection bias — NZDUSD long conditions may correlate with specific market regimes (e.g., risk-on, commodity strength) tha 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
Competitive and Knowledge Intelligence
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.