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    AI Learns Which Market Signals to Trust

    1 month ago

    A new study presents a neural-network method for building efficient portfolios while keeping the allocation process interpretable. Instead of treating asset correlations as a black box, the model learns how to clean noisy collective market patterns and respects the symmetries of covariance matrices.
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