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Awesome List
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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Real time stock and option data.
TA-Lib (Core C Library)
A library for financial options pricing written in Python.
Python tdx数据接口
ARCH models in Python
Financial data reader
Common financial risk and performance metrics. Used by zipline and pyfolio.
The official Python client library for the Massive.com REST and WebSocket API.
Python module to get stock data from Yahoo! Finance
Finviz analysis python library.
高频量化交易平台 C++ Trade Platform for quant developer 【浮生着甚苦奔忙,量化之路阻且长。 行行代码凝心血,十年辛苦不寻常】
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
A TD Ameritrade API client for Python. Includes historical data for equities and ETFs, options chains, streaming order book data, complex order construction, and more.
Cython QuantLib wrappers
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
A JavaScript library for common financial calculations
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
quant framework for stock
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Indicator Go delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀
Portfolio optimization with deep learning.
Performant and effortless finance plotting for Python
Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
Library to create spreadsheet files compatible with MS Excel 97/2000/XP/2003 XLS files, on any platform.
A framework for quantitative finance In python.
Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Vollib extends this to add support for Black-Scholes and Black-Scholes-Merton.
Exchange calendars to use with pandas for trading applications
Open source analytics and market risk library from OpenGamma
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.
Technical Analysis Indicator Function Library in C
Quantitative Finance book
Python wrapper for an unofficial Yahoo Finance API
Bringing financial analysis to the tidyverse
Quantitative Financial Modelling Framework
python tools for Finance with the functionality of indicator calculation, business day calculation and so on.
Realtime Data From National Stock Exchange (India)
Collection of algorithms for online portfolio selection
An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options
A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.
Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.
Python module to get real-time stock data from Google Finance API
Asynchronous, event-driven algorithmic trading in Python and C++
Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast
GPU-accelerated Factors analysis library and Backtester
Resources for Quantitative Finance
Python for Finance Cookbook, published by Packt
A Python Pandas implementation of technical analysis indicators