Skip to content
#edge computing Open access

MODEL ADOPTION #3822: REJECT — LEDGER BENCH: Apply filter: Pool density HIGH (>=90) — improves win rate from 32.5% to 34. — E8 Intelligence Research

Oct 2026 · Zenodo (CERN European Organization for Nuclear Research)
Financial Markets and Investment Strategies

Abstract

DECISION: REJECT ELEMENT: No element survives — the pool-density ≥90 filter is a statistical artifact, not an E8-geometry-compatible edge. EXPECTED IMPACT: The +1.5pp backtest gain (n=1800) is within noise for a 32.5%→34.0% shift (σ≈1.1pp). Merlin's own live-window projection shows only +8.6pp on 7 trades (n=7, meaningless), and PnL delta is ~+0.5R — not enough to justify added complexity. The filter does not align with E8 rhythm logic (Gods-Clock timing, FADE polarity); it's a liquidity proxy that will misfire across instruments (EURJPY/XAUUSD density distributions differ). RISK: Global ≥90 cutoff over-filters metals and JPY crosses, excluding high-conviction E8 entries during legitimate low-density but high-timing setups. Adds post-entry latency if density is computed after signal generation, degrading the FADE edge. Overfits to a 30-day window; regime shift to thinner pools would kill the filter's benefit while still excluding winners. TEST: No test can save this — even if a Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54

Related blog posts

Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.