strategy-optimizer

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.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Python Backtesting library for trading strategies

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

A high-performance algorithmic trading platform and event-driven backtester

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

An open-source runtime for composable workflows. Great for AI agents and CI/CD.

Open source software that helps you create and deploy high-frequency crypto trading bots

FinRL: Financial Reinforcement Learning. ?

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations