{
  "abstract": "DECISION: REJECT ELEMENT: No element survives — the ≤2° phase-distance filter is a statistical artifact, not a geometric timing edge. E8-node/Gods-Clock rhythm logic already encodes phase as a continuous timing variable; imposing a hard cutoff at 2° is arbitrary and not derived from any E8 harmonic invariant. The backtest gain (+4.8pp on n=600) is within noise for a continuous variable threshold search, and Merlin's own projection confirms the live window effect is tiny and non-significant. The filter would cut frequency 30–40%, reducing gross profit and risking overfit to a specific volatility regime. No concrete, testable edge compatible with E8 geometry exists here — only a data-mined cutoff.\n\nEXPECTED IMPACT: If adopted, win rate might rise ~2–3pp in the first month (selection bias), but total profit would likely drop 15–25% due to fewer trades and missed large winners. Within 3 months, the edge decays to neutral as phase-distance distribution shifts with market regime. Net effec\n\nAuthor: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com",
  "abstract_shown": true,
  "affiliations": [
    "Independent Researcher, United Kingdom"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Andrew Stewart Caldin"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/7qn46382j2006.bib",
  "cited_by": 0,
  "doi": "10.5281/zenodo.23409608",
  "fulltext_url": null,
  "id": "7qn46382j2006",
  "issns": [],
  "landing_url": "https://zenodo.org/records/23409608",
  "language": "eng",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [],
  "openalex": null,
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-16",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/7qn46382j2006.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:18:28Z",
      "native_id": "23409608",
      "source": "zenodo",
      "url": "https://zenodo.org/records/23409608"
    }
  ],
  "subjects": [],
  "title": "MODEL ADOPTION #4126: REJECT — LEDGER BENCH: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 32.5% t — E8 Intelligence Research",
  "title_text": "MODEL ADOPTION #4126: REJECT — LEDGER BENCH: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 32.5% t — E8 Intelligence Research",
  "type": "preprint",
  "updated_at": "2026-10-30T12:34:28Z",
  "url": "https://research.draconitic.com/paper/7qn46382j2006",
  "venue": "Zenodo",
  "versions": []
}