Awesome Quant

Free, open source crypto trading bot

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

A cryptocurrency trading API with more than 100 exchanges in JavaScript / TypeScript / Python / C# / PHP / Go / Java

基于Python的开源量化交易平台开发框架

Extremely fast Query Engine for DataFrames, written in Rust

The fundamental package for scientific computing with Python.

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

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

A computer algebra system written in pure Python

"Vibe-Trading: Your Personal Trading Agent"

Python wrapper for TA-Lib (http://ta-lib.org/).

Statsmodels: statistical modeling and econometrics in Python

Bayesian Modeling and Probabilistic Programming in Python

Automatic extraction of relevant features from time series:

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

Portfolio analytics for quants, written in Python

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Probabilistic time series modeling in Python

Portfolio Optimization in Python

Free, open source, a high frequency trading and market making backtesting and trading bot, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books(Level-2 and Level-3), with real-world crypto trading examples for Binance and Bybit

modular quant framework.

Algorithmic Trading in Python with Machine Learning

QuantStart.com - QSTrader backtesting simulation engine.

Systematic Trading in python

Extract data from a wide range of Internet sources into a pandas DataFrame.

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

bt - flexible backtesting for Python

ffn - a financial function library for Python

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

Python library for portfolio optimization built on top of scikit-learn

CCXT for prediction markets. PMXT is a unified API for trading on Polymarket, Kalshi, and more.

Zipline, a Pythonic Algorithmic Trading Library

A program for financial portfolio management, analysis and optimisation.

Rust library for quantitative finance.

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.

ARCH models in Python

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

Python wrapper for an unofficial Yahoo Finance API

Realtime Data From National Stock Exchange (India)

Asynchronous, event-driven algorithmic trading in Python and C++

An open-source alternative to Yahoo Finance's market data APIs with higher reliability.

Performance analysis of predictive (alpha) stock factors

Portfolio and risk analytics in Python

low code backtesting library utilizing pandas and technical analysis indicators

A Python package for aggregating and normalizing historical data from popular and free financial APIs.