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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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1# =============================================================================2#  Project   : anomaly-atlas3#  File      : pyproject.toml4#  Purpose   : Python project configuration (deps, ruff, pytest)5#  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# =============================================================================1314[project]15name = "anomaly-atlas"16version = "0.0.1"17description = "Research: systematic discovery & rigorous validation of statistical anomalies in open HF market data (hfmarketdata.io)"18authors = [{ name = "Simon-Pierre Boucher", email = "contact@spboucher.ai" }]19requires-python = ">=3.11"20dependencies = [21    "numpy",22    "pandas",23    "polars",24    "pyarrow",25    "duckdb",26    "requests",27    "scipy",28    "statsmodels",29    "arch",30    "pyyaml",31    "bidask",32]3334[project.optional-dependencies]35dev = ["ruff", "pytest"]3637[tool.setuptools.packages.find]38where = ["src"]3940[tool.ruff]41line-length = 10042target-version = "py311"4344[tool.ruff.lint]45select = ["E", "F", "W", "I", "UP", "B"]4647[tool.pytest.ini_options]48testpaths = ["src", "experiments", "benchmarks"]49python_files = ["test_*.py"]50