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Repositories 2
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anomaly-atlas
Python
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
quant-researchmarket-microstructureanomaliesreproducibilityduckdbapple-silicon -
hfmarketdata
Python
Open high-frequency market data platform — FirstRate full-history downloader, DuckDB/Parquet lake, open REST API and React docs platform (www.hfmarketdata.io)
README content 4
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hfmarketdata
…et Data Open high frequency market data platform — a full history downloader, a DuckDB over Parquet data lake, an open REST API and a documentation platform, live at www.hfmarketdata.io . Dataset metrics Full ingestion c…
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metrika
…boosted models cross validate against glmnet and xgboost. Big data on a laptop. DuckDB columnar engine with bulk C API extraction: 10 million rows load in 0.2 s , summarize in 0.3 s, regress in 0.2 s. A Metal point sprit…
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wp9_uqo
…Newfoundland (−60 to −67%). 📁 Repository layout 🚀 Quick start Without the raw DuckDB you can still run steps 02→05 : the committed (6 MB) is the estimation sample produced by step 01. 🔬 The pipeline, step by step Step…
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wp3_uqo
…, $k = 8$; all $p Built with Python · XGBoost · LightGBM · statsmodels · SHAP · DuckDB · LaTeX — reproducible from stored artifacts end to end.…