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This project demonstrates the application of reinforcement learning (RL) to stock trading using the Stable Baselines3 library. The project includes custom trading environments for Adidas, Nike, and Puma stocks, and showcases the training and evaluation of RL models using Proximal Policy Optimization (PPO) and Deep Q-Network (DQN) algorithms.

active 2024-07-28 → 2024-07-28 (UTC)

Complete coverage27,610 / 27,610 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-08 (UTC)
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Line chart, 1 days from 2024-07-28 to 2024-07-28. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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