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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

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# project: anomaly-atlas document: expE_calendar_scan/README author: Simon-Pierre Boucher contact: contact@spboucher.ai data_source: hfmarketdata.io created: 2026-08-12 status: draft

# expE_calendar_scan

Calendar scan: intraday, day-of-week, turn-of-month with pre-counted hypothesis budget

Status: 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.