Popular GitHub Repositories for Trading Strategies

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Quant/Algorithm trading resources with an emphasis on Machine Learning

股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易

Use unsupervised and supervised learning to predict stocks

Machine Learning in Asset Management (by @firmai)

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

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

This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

Roboquant is a fast, flexible, user-friendly and completely free algorithmic trading platform

HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "

We research the correlations between astrology planet cycles and price effect for multiples financial markets using statistics and machine learning techniques. Join the community discussions at Telegram:

Design pattern for critical stages in the development process of an AI Stock Trading Bot

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.

Augmento sentiment data quickstart and research

My algorithmic trading strategies with the Gekko cryptocurrency trading bot.

Unsupervised Learning to Market Behavior Forecasting Example

2025-trading-automation-scripts

Machine learning for portfolio management and trading with scikit-learn

chameleonQuant was born as an open-source Java framework to help enthusiast quants to implement system trading strategies and dynamic portfolio trading systems using advanced optimization techniques, machine learning, and deep learning techniques.

A Hedge Fund of AI Agents that work together to gather stock data, analyse it, and execute buy and sell orders based on the results