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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Web: server-rendered SVG figures from results.json (dataviz-validated)
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- web/lib/charts.js: expB staleness scatters, expC VR30-excess strip plot (FDR emphasis), expD raw-vs-fresh dumbbells; palette validated (validate_palette.js all-pairs PASS on card surface), native tooltips, ink-token text, selective direct labels - figures injected on experiment pages + latest figure on home - rendered and eyeballed (rsvg): fixed tick-label collision Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>