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Free, open source crypto trading bot

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"

Zipline, a Pythonic Algorithmic Trading Library

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

FinRL®: Financial Reinforcement Learning. 🔥

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

Financial portfolio optimization 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.

Performance analysis of predictive (alpha) stock factors

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.

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

Algorithmic Trading in Python with Machine Learning

Statistical and Algorithmic Investing Strategies for Everyone

An Algorithmic Trading Library for Crypto-Assets in Python

Open Source Algo Trading Platform for Everyone

QTPyLib, Pythonic Algorithmic Trading

Common financial technical indicators implemented in Pandas.

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

Machine Learning in Asset Management (by @firmai)

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.

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.

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