LAB #4891 NEUTRAL: LEDGER BENCH: Apply filter: NZDUSD SHORT — improves win rate from 31.9% to 34.5% (+2.7pp, n=139) — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: NZDUSD SHORT — improves win rate from 31.9% to 34.5% (+2.7pp, n=139) SAME-WINDOW EFFECT: Over the current window, exactly one trade matches the filter — NZDUSD SHORT via rizzy5m at 2026-09-09 11:45, which is currently REJECTED/open. Applying the filter would have promoted that trade to live, adding one more short into a window where every other executed short (EURUSD, XAUUSD, AUDUSD) closed as a loss. Net effect on the window is therefore negative-to-flat: one extra position, likely a loss, with no offsetting wins from the filter since no other NZDUSD SHORTs appear in the sample. The +2.7pp headline is invisible here because n=1 in-window. OVER-TIME PROJECTION: A 2.7pp win-rate lift on n=139 is roughly 3.7 additional wins — statistically indistinguishable from noise at that sample size (95% CI on the delta spans roughly ±8pp). More importantly, 34.5% is still a losing win rate unless average win siz 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
2026-10-30
DOI
https://doi.org/10.5281/zenodo.23796931
Primary Topic
Financial Markets and Investment Strategies
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

LAB #4891 NEUTRAL: LEDGER BENCH: Apply filter: NZDUSD SHORT — improves win rate from 31.9% to 34.5% (+2.7pp, n=139) — E8 Intelligence Research

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

LAB #4891 NEUTRAL: LEDGER BENCH: Apply filter: NZDUSD SHORT — improves win rate from 31.9% to 34.5% (+2.7pp, n=139) — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: NZDUSD SHORT — improves win rate from 31.9% to 34.5% (+2.7pp, n=139) SAME-WINDOW EFFECT: Over the current window, exactly one trade matches the filter — NZDUSD SHORT via rizzy5m at 2026-09-09 11:45, which is currently REJECTED/open. Applying the filter would have promoted that trade to live, adding one more short into a window where every other executed short (EURUSD, XAUUSD, AUDUSD) closed as a loss. Net effect on the window is therefore negative-to-flat: one extra position, likely a loss, with no offsetting wins from the filter since no other NZDUSD SHORTs appear in the sample. The +2.7pp headline is invisible here because n=1 in-window. OVER-TIME PROJECTION: A 2.7pp win-rate lift on n=139 is roughly 3.7 additional wins — statistically indistinguishable from noise at that sample size (95% CI on the delta spans roughly ±8pp). More importantly, 34.5% is still a losing win rate unless average win siz 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.

Laika access coming soon