CHAMPION PIPELINE v2 #1128: IMPROVES — TG AUTO: BASE 44 ORDER: Apply E8 root-vector PLL to signal pipeline: map 240 vec — E8 Intelligence Research

CHAMPION PIPELINE v2 (faithful) — experiment #1128: TG AUTO: BASE 44 ORDER: Apply E8 root-vector PLL to signal pipeline: map 240 vectors, filt Engine mapping: The E8 root-vector PLL filters signals based on harmonic alignment, which is a form of momentum-streak continuation where only signals with dominant frequency matching a root-vector bin pass, rejecting decoherent noise. EURUSD 15s momentum_streak: n=5357 wr=29.6% netR=-3752.0 OOS=-1577.2 USDJPY 15s momentum_streak: n=3309 wr=38.4% netR=-916.4 OOS=-423.3 NZDUSD 7m momentum_streak: n=765 wr=29.3% netR=-397.0 OOS=-205.5 GBPUSD 5m momentum_streak: n=1003 wr=41.6% netR=-78.8 OOS=-54.7 AUDUSD 15m momentum_streak: n=1577 wr=43.9% netR=-345.7 OOS=-125.5 USDCAD 21m momentum_streak: n=237 wr=39.2% netR=-13.5 OOS=-9.6 EURJPY 30m momentum_streak: n=963 wr=21.7% netR=-97.0 OOS=-31.9 XAUUSD h1 momentum_streak: n=622 wr=47.1% netR=+78.2 OOS=+51.9 Bar: n>=100, netR>0 after retail costs, OOS>0. VERDICT: IMPROVES Best variant filed as champion c 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
2026-08-18
DOI
https://doi.org/10.5281/zenodo.21989455
Primary Topic
Computational Physics and Python Applications
Type
preprint
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preprint

CHAMPION PIPELINE v2 #1128: IMPROVES — TG AUTO: BASE 44 ORDER: Apply E8 root-vector PLL to signal pipeline: map 240 vec — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Computational Physics and Python Applications
preprint

CHAMPION PIPELINE v2 #1128: IMPROVES — TG AUTO: BASE 44 ORDER: Apply E8 root-vector PLL to signal pipeline: map 240 vec — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

CHAMPION PIPELINE v2 (faithful) — experiment #1128: TG AUTO: BASE 44 ORDER: Apply E8 root-vector PLL to signal pipeline: map 240 vectors, filt Engine mapping: The E8 root-vector PLL filters signals based on harmonic alignment, which is a form of momentum-streak continuation where only signals with dominant frequency matching a root-vector bin pass, rejecting decoherent noise. EURUSD 15s momentum_streak: n=5357 wr=29.6% netR=-3752.0 OOS=-1577.2 USDJPY 15s momentum_streak: n=3309 wr=38.4% netR=-916.4 OOS=-423.3 NZDUSD 7m momentum_streak: n=765 wr=29.3% netR=-397.0 OOS=-205.5 GBPUSD 5m momentum_streak: n=1003 wr=41.6% netR=-78.8 OOS=-54.7 AUDUSD 15m momentum_streak: n=1577 wr=43.9% netR=-345.7 OOS=-125.5 USDCAD 21m momentum_streak: n=237 wr=39.2% netR=-13.5 OOS=-9.6 EURJPY 30m momentum_streak: n=963 wr=21.7% netR=-97.0 OOS=-31.9 XAUUSD h1 momentum_streak: n=622 wr=47.1% netR=+78.2 OOS=+51.9 Bar: n>=100, netR>0 after retail costs, OOS>0. VERDICT: IMPROVES Best variant filed as champion c Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Computational Physics and Python Applications
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CHAMPION PIPELINE v2 #1128: IMPROVES — TG AUTO: BASE 44 ORDER: Apply E8 root-vector PLL to signal pipeline: map 240 vec — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS