FinRL: A Deep Reinforcement Learning Library for Quantitative Finance

FinRL is the open source library for practitioners. To efficiently automate trading, AI4Finance provides this educational resource and makes it easier to learn about deep reinforcement learning (DRL) in quantitative finance.

In quantitative finance, automated trading is essentially making dynamic decisions, namely to decide where to trade, at what price, and what quantity, over a highlystochastic and complex stock market. Taking many complex financialfactors into account, DRL trading agents build a multi-factor model and provide algorithmic trading strategies, which are difficult for human traders

FinRL provides a framework that supports various markets, SOTA DRL algorithms, benchmarks of many quant finance tasks, live trading, etc.

A YOuTube video about FinRL: https://www.youtube.com/watch?v=ZSGJjtM-5jA