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Systematic discovery & rigorous validation of statistical anomalies in open HF market data (hfmarketdata.io) — pre-registered, artifact-null-driven, fully reproducible. Live atlas: www.anomaly-atlas.io

Python 61.4% JavaScript 28.7% CSS 8.6% Shell 0.7% Makefile 0.5%

History of results/expE_calendar_scan/20260812T065222Z/results.json · clear filter

  1. fix: expE lint (semicolons) + duplicated Next-experiment block
    Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
    Simon-Pierre Boucher committed yesterday (Aug 12, 2026) · 1 file changed +279