FinRL: Financial Reinforcement Learning. 🔥
-
Updated
Dec 13, 2024 - Jupyter Notebook
FinRL: Financial Reinforcement Learning. 🔥
Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness.
Add a description, image, and links to the drl-framework topic page so that developers can more easily learn about it.
To associate your repository with the drl-framework topic, visit your repo's landing page and select "manage topics."