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Open Data Platform for analysts, quants and AI agents.

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.

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

"Vibe-Trading: Your Personal Trading Agent"

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

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).

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

An advanced crypto trading bot written in Python

Portfolio analytics for quants, written in Python

The QuantLib C++ library

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

High-performance TensorFlow library for quantitative finance.

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

Portfolio Optimization in Python

modular quant framework.

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.

Algorithmic Trading in Python with Machine Learning

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

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

Open Source Algo Trading Platform for Everyone

QTPyLib, Pythonic Algorithmic Trading

Open-source Rust framework for building event-driven live-trading & backtesting systems

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

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

Rust library for quantitative finance.

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

Machine Learning in Asset Management (by @firmai)

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