Aeebeh/Portfolio-Optimization-Tool
A Python-based portfolio optimization tool that implements Modern Portfolio Theory (MPT) to create efficient portfolios.
Portfolio Optimization Tool
Overview
A Python-based portfolio optimization tool that implements Modern Portfolio Theory (MPT) to create efficient portfolios. The tool uses historical market data from Yahoo Finance to calculate optimal asset allocations based on the Sharpe ratio, with Monte Carlo simulations for risk analysis.
Features
- Data Collection: Automated fetching of historical price data using yfinance
- Portfolio Optimization: Implementation of MPT using scipy's optimization
- Risk Analysis: Value at Risk (VaR) calculations, Monte Carlo simulations, Portfolio metrics (returns, volatility, Sharpe ratio)
- Interactive Visualization: Efficient frontier plotting, Portfolio value distribution, Monte Carlo simulation paths
Technologies Used
- Python 3.8+
- NumPy & Pandas for data manipulation
- yfinance for market data
- scipy for optimization
- plotly for interactive visualizations
Installation
Clone the repository
Navigate to project directory
- cd portfolio-optimization
Install required packages
- pip install -r requirements.txt
Usage
Run the portfolio optimizer
- python src/portfolio_optimizer.py
Example input:
-
=== Portfolio Optimizer ===
-
Enter ticker symbols separated by commas
-
Example Tickers: AAPL, MSFT, GOOGL
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Years of historical data (1-10): 10
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Initial investment amount ($): 100000
Sample Output
- Optimal portfolio weights
- Expected annual return
- Annual risk
- Sharpe ratio
- Value at Risk metrics
- Monte Carlo simulation results
- Interactive visualizations
Project Structure
- LICENSE
- Portfolio Optimization
- README.md
- requirements.txt
Future Enhancements
- Additional optimization objectives
- Real-time data integration
- Portfolio rebalancing suggestions
- Machine learning-based predictions
- Enhanced risk metrics
Contributing
- Feel free to fork the project and submit pull requests. For major changes, please open an issue first to discuss the proposed change.
License
- MIT
Author
- Aeebeh
Acknowledgments
- Modern Portfolio Theory by Harry Markowitz
- Yahoo Finance API for market data access