There are 503 repositories under quantitative-finance topic.
Investment Research for Everyone, Everywhere.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
Python wrapper for TA-Lib (http://ta-lib.org/).
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
A curated list of practical financial machine learning tools and applications.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Collection of notebooks about quantitative finance, with interactive python code.
Portfolio analytics for quants, written in Python
High-performance TensorFlow library for quantitative finance.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
A list of online resources for quantitative modeling, trading, portfolio management
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
QTPyLib, Pythonic Algorithmic Trading
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Quantitative analysis, strategies and backtests
Using python and scikit-learn to make stock predictions
Machine Learning in Asset Management (by @firmai)
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
BackTrader中文教程笔记(by:量化投资与机器学习),系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等,彻底掌握量化神器的使用方法。章节:介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……(持续更新中)