AlphaPurify
Unverified Other strategy on Multi by eliasswu. BotFinder score 18 out of 100.
Extremely fast quantitative factor cleaning and backtesting library, based on Polars
Source: github
BotFinder analysis pending.
AlphaPurify
English README | 简体中文 README | 繁体中文 README AlphaPurify: Factor research for quants AlphaPurify Python library for factor construction, preprocessing, backtesting, and factor return attributions to help quants rapidly validate ideas. --- 4 Main Modules: 1.alphapurify.FactorAnalyzer — for IC/ Rank IC testing and Long/ Short/ Long-Short quantile backtests. 2.alphapurify.AlphaPurifier — for factor preprocessing, including 40+ Winsorization, Neutralization, and Standardization methods (e.g., ridge regression, lasso regression, PCA decomposition, etc.). 3.alphapurify.Database — for financial data aggregation, factor construction, and factor storage. 4.alphapurify.Exposures — for factor correlation analysis and factor-based return attribution. --- Pipeline Overview --- Full Documents & Examples: English Docs --- Key Features: - Extremely Fast — Processes 4 Millions+ rows (15 years CSI 300) including long/short, long-short, IC backtests and creates 4 interactive reports in under 25 seconds (on a standard i7 CPU). - 40+ Preprocessing Methods — Built-in professional factor cleaning tools suppo
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