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%
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expB: artifact baselines measured (after §8.1 synthetic gate)
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- synthetic generators with known ground truth + 11-test gate; the gate caught a real VR estimator bug (double division by q) before real data - stats: reversion (VR/AC1/half-life), leadlag, block bootstrap; validation: Roll spread, excess reversion, staleness, LOCF - expB (pre-specified protocol): 31 tickers Q1 2024 RTH 1min — bounce AC1 -0.009/-0.051/-0.232 by staleness tercile, VR30 down to 0.55 with zero economics, SPY spuriously leads stale names (+0.047 at +1min, Spearman +0.43), SPX lags SPY by 1min (+0.065) - artifact_taxonomy.md: 7 entries T1-T7 with measured magnitudes Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Phase 0.5: Experiment A (data reality check) + hf_client implementation
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- hf_client.py: cache-first single API client (throttle, 429/5xx back-off, 50k-row pagination, committed data-manifest index) + 5 offline unit tests - expA benchmark: 8 probe families, results with embedded hardware manifest - research/data_source_profile.md (reviewed): coverage, timestamps ET, session structure, daily-vs-1min semantics, adjustment re-basing, limits - LOG entry; expA hypothesis/analysis finalized Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Bootstrap: full research skeleton (CLAUDE.md §3, localvm-research layout) + web platform
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Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>