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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: expC_reversion_scan/README author: Simon-Pierre Boucher contact: contact@spboucher.ai data_source: hfmarketdata.io created: 2026-08-12 status: draft

# expC_reversion_scan

Mean-reversion scan: variance ratios, half-life, AR tests net of the bounce null

Status: completed 2026-08-12 — 127 cells, corrected triage: 14 multi-lag-reversion cells + daily 2008-15 reversal family -> expF. Key output: the bounce-null variance-consistency lesson (taxonomy T1).