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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      : src/anomaly_atlas/__init__.py4#  Purpose   : anomaly_atlas package root5#  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# =============================================================================13"""anomaly-atlas — systematic discovery & rigorous validation of statistical14anomalies in open HF market data (hfmarketdata.io, sole source).1516Honesty doctrine (CLAUDE.md §2.1): every candidate anomaly is an artifact17until proven otherwise; in-sample results are never findings.18"""1920__version__ = "0.0.1"21