Analyze your stock portfolio and get recommendations for complementary investments to strengthen your overall investment strategy. Apply different risk profiles for more aggresive/conservative recommendations.
- Backend: Python, NumPy, yahoo_fin
- Database: SQLite (for data caching)
- Frontend: Tkinter
- Vector-based portfolio analysis with customizable risk tolerance parameters
- Feature extraction from financial time-series data using Yahoo Finance APIs
- Similarity scoring algorithm comparing stock vectors against portfolio vector
- Weighted recommendation system with risk-adjusted candidate filtering
git clone https://github.com/skyeslattery/metisse.git
cd metisse
# Install dependencies
pip install -r requirements.txt
# Install Tkinter if needed (macOS)
brew install [email protected]
# Run application
python -m metisse.mainNote: This application was designed with Tkinter 8.6. Using it with Python 3.13+ (Tkinter 9.0+) may result in visual differences due to rendering changes in newer Tkinter versions.
Enter your stocks, select risk level, click generate. The app finds complementary investments based on your portfolio characteristics.
