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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
Download market data from Yahoo! Finance's API
Visualizer for pandas data structures
Technical Analysis Library using Pandas and Numpy
A python wrapper for Alpha Vantage API for financial data.
Performance analysis of predictive (alpha) stock factors
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
A Python module for creating Excel XLSX files.
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.
Common financial technical indicators implemented in Pandas.
Python AutoML for Trading Systems and Sports Betting
Finviz analysis python library.
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Exchange calendars to use with pandas for trading applications
Python wrapper for an unofficial Yahoo Finance API
Python SDK for IEX Cloud
Vectorized backtester and trading engine for QuantRocket
pandas wrapper for Bloomberg Open API
Start developing and backtesting your own automated trading strategies
Pipeline Extension for Live Trading
Get meaningful OHLCV datasets
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.