spb/anomaly-atlas Public License
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%
1# =============================================================================2# Project : anomaly-atlas3# File : experiments/candidate_03/benchmark.py4# Purpose : Benchmark runner: Candidate 03 (selected in Phase 4 from research/candidate_rankin…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"""Benchmark entry point for candidate_03.1516Must embed the hardware manifest in all result output17(see benchmarks/hardware_manifest.py) and write results to18results/candidate_03/<timestamp>/. Uses hfmarketdata.io data ONLY, exclusively19through src/anomaly_atlas/data/hf_client.py.20"""2122import sys23from pathlib import Path2425sys.path.insert(0, str(Path(__file__).resolve().parents[2] / "benchmarks"))26from hardware_manifest import collect_manifest # noqa: E402272829def main() -> None:30 collect_manifest() # embedded in results once implemented31 raise NotImplementedError("experiment not yet implemented")323334if __name__ == "__main__":35 main()36