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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: candidate_03/analysis author: Simon-Pierre Boucher contact: contact@spboucher.ai data_source: hfmarketdata.io created: 2026-08-12 status: draft

# Analysis — candidate_03

To be written after results exist. Must include the seven-field block and the evidence standard of CLAUDE.md §10 (never report an in-sample number as a finding).