spb/anomaly-atlas Public License

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

quant-research market-microstructure anomalies reproducibility duckdb apple-silicon

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

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1---2project: anomaly-atlas3document: expE_calendar_scan/README4author: Simon-Pierre Boucher5contact: contact@spboucher.ai6data_source: hfmarketdata.io7created: 2026-08-128status: draft9---1011# expE_calendar_scan1213Calendar scan: intraday, day-of-week, turn-of-month with pre-counted hypothesis budget1415Status: **completed 2026-08-12** — zero of 8 pre-declared calendar tests survive the permuted-calendar null; turn-of-month decayed inside train; controls held. H20 intraday artifact profile measured.16