TradeMaster-NTU/TradeMaster

FinRL®: Financial Reinforcement Learning. 🔥

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

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

FinRL­®-Meta: Dynamic datasets and market environments for FinRL.

FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading

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.

TradingAgents: Multi-Agents LLM Financial Trading Framework

An open-source, high-performance quantitative trading framework in C++/Python focused on strategy analysis and backtesting Trading model R&D · Ultra-fast engine · Efficient backtesting