We aim to maintain an open source FinRL library for the "AI + finance" community: support various markets, SOTA DRL algorithms, benchmarks for many quant finance tasks, live trading, etc. To ...
Abstract: This paper advances the FinRL-DeepSeek framework by introducing a market-adaptive modeling approach to improve automated stock trading agents. While FinRL-DeepSeek integrates stock prices ...
In this paper, we have developed an open-source framework, FinRL, to help quantitative traders overcome the steep learning curve. Customization is accessible on all layers, from market environments, ...
Abstract: The use of AI techniques to improve stock market related operations has been benefiting traders in the stock market. FinRL is a framework that has been shown to be effective in building ...