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Mutual information is an information-theoretic metric that measures how much the return distribution of one period informs another. Unlike correlation, it captures non-linear statistical dependencies — making it a more sensitive tool for detecting whether a trading model's behaviour has remained structurally consistent. darwintIQ uses mutual information as part of a suite of distribution similarity metrics evaluated on a rolling basis.
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