guest@minsoo.blog:~/projects$ cd portfolio-risk-optimization-by-DRL
  
  guest@minsoo.blog:~/projects/portfolio-risk-optimization-by-DRL$ cat README.md

Portfolio Risk Optimization using Deep Reinforcement Learning

Github link    

Description

• A portfolio optimization system using Deep Reinforcement Learning (DRL) with PPO algorithm, featuring a web interface for training and evaluation.

Features

• Real-time Monitoring: Live logs and metrics via local web interface
• Visualizations: Portfolio value and weights charts
• Multiple Environments: Trains on diverse market scenarios

Tech Stack

• ML framework: pytorch, stable-baselines3
• Web: FastAPI
• Visualization: matplotlib