What is Market Regime Analysis?
Market regime analysis identifies distinct phases of market behavior using statistical clustering
techniques.
This implementation uses the Wasserstein K-Means algorithm, which compares entire return
distributions rather
than just summary statistics.
How Does Wasserstein K-Means Work?
The algorithm:
- Slices historical returns into non-overlapping windows
- Treats each window as a probability distribution
- Compares distributions using Wasserstein distance (Earth Mover's Distance)
- Clusters similar distributions together
- Classifies the current market state based on these learned patterns
Why is This Useful?
Different market regimes require different trading strategies:
- Bull Regimes: Favor long positions and call options
- Bear Regimes: Favor short positions and put options
- Neutral Regimes: Favor range-bound strategies
Future Enhancements
- Advanced Clustering: Implementing full Wasserstein K-Means instead of the
simplified version
- Multi-dimensional Analysis: Incorporating volume, volatility, and other market
indicators
- Real-Time Adaptation: Implementing online learning algorithms that adapt to
changing market conditions