finrl

Open-source framework designed for financial reinforcement learning, leveraging deep reinforcement learning (DRL) to automate trading in quantitative finance. It provides tools and resources for developing and testing trading strategies using advanced machine learning techniques, enhancing the traditional reinforcement learning approach with deep neural networks. FinRL is primarily targeted at quantitative analysts, financial engineers, and researchers interested in applying machine learning to trading and investment strategies.