GitHub repository: ArnavJ19/RL_Agent_Trading
Primary language: Jupyter Notebook
Created: 2024-09-18T04:43:27Z
Description: This repository contains the implementation of a Reinforcement Learning (RL) trading agent that utilizes Proximal Policy Optimization (PPO), built using Stable Baselines3. The agent is designed to dynamically adjust its portfolio based on market signals and trends from S&P 500 data.