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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%
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1# =============================================================================2#  Project   : anomaly-atlas3#  File      : CITATION.cff4#  Purpose   : Citation metadata for the research repository5#  Author    : Simon-Pierre Boucher6#  Contact   : contact@spboucher.ai7#  Data src  : hfmarketdata.io (sole data source)8#  Created   : 2026-08-129#  Modified  : 2026-08-1210#  Platform  : macOS / Apple Silicon (arm64)11#  License   : All rights reserved (research code)12# =============================================================================13cff-version: 1.2.014message: "If you use this research, please cite it as below."15title: "anomaly-atlas: systematic discovery & rigorous validation of statistical anomalies in open HF market data"16authors:17  - family-names: "Boucher"18    given-names: "Simon-Pierre"19    email: "contact@spboucher.ai"20date-released: "2026-08-12"21version: "0.0.1"22