correlation-regime-switcher

Regime switching for algorithmic trading works by classifying the current correlation matrix into normal, correlation_spike, decorrelation, or breakdown states. The system then selects appropriate trading strategies and provides transition signaling to automate strategy allocation adjustments as market conditions evolve.

To automate strategy switching based on correlation regimes, input your multi-asset portfolio's current cross-asset correlation matrix. The system will deterministically output the current regime, a recommended set of trading strategies, and transition signals to trigger reallocation.

Yes, this regime switching approach is compatible with multi-asset portfolios and integrates with market-context classifiers. It classifies cross-asset correlation matrices to output deterministic regimes and transition signals, directly supporting automated risk management and dynamic strategy switching.

Use this approach when you need to automate strategy allocation across evolving market contexts and multi-asset portfolios. It is particularly suited for algorithmic trading systems requiring deterministic regime detection and transition signaling to manage correlation breakdowns and decorrelation events.