---
title: Dynamic Allocation System
emoji: 📈
colorFrom: blue
colorTo: green
sdk: docker
app_file: app.py
pinned: false
---

# Dynamic Portfolio Allocation System

A machine learning-based portfolio allocation system that combines supervised learning and reinforcement learning to generate dynamic stock allocation recommendations.

## Technologies Used

- Python
- Streamlit
- Gradient Boosting Regression
- PPO Reinforcement Learning
- Plotly
- Scikit-learn
- Stable-Baselines3

## Features

- Dynamic portfolio allocation
- Risk profile selection
- 5-day and 10-day investment horizons
- Cash reserve optimization
- Portfolio visualization
- PPO vs Equal Weight comparison
- Portfolio insights
- Download portfolio as CSV

## Project Workflow

1. Feature Engineering
2. Gradient Boosting Return Prediction
3. PPO Reinforcement Learning Allocation
4. Portfolio Recommendation
5. Interactive Dashboard

Developed as a Final Year Project.