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Awesome List
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
GitHub stars and default-branch commits for wilsonfreitas/awesome-quant.
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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Statsmodels: statistical modeling and econometrics in Python
Visualizer for pandas data structures
Extract data from a wide range of Internet sources into a pandas DataFrame.
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Time series implementation for the Julia language focused on efficiency and flexibility
An open-source toolkit for quantitative analysis of crypto & stock markets, featuring an advanced market screener, portfolio backtester, and companion tools for the Gunbot trading bot.
Automatic discovery of non-trivial statistical truths from 500+ public time series — mutual information, Granger causality, FDR correction