Cluster-Based Portfolio Construction
Build diversified portfolios using ML clustering to group similar stocks and reduce correlation
ML Clustering
Diversification
Risk Reduction
Portfolio Configuration
Configure clustering and stock selection parameters
Minimum: 10 stocks required
Build a portfolio to see results
About Cluster-Based Portfolio Construction
How It Works
- Clusters stocks using ML algorithms based on returns, risk, and fundamentals
- Selects top stocks from each cluster using your chosen criteria
- Allocates weights to create a diversified portfolio
- Reduces correlation and concentration risk
Benefits
- Better diversification through ML-based grouping
- Systematic stock selection process
- Reduced correlation between holdings
- Multiple strategies (growth, quality, risk-adjusted)