A review that reframes automated trading-signal (alpha) discovery as noisy, dynamic, multiobjective evolutionary optimization, and proposes six-component and eight-dimension frameworks for comparing and evaluating methods.
Tracking extrema in dynamic environments,
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Towards Autonomous Formulaic Alpha Discovery: An Evolutionary Computation Perspective
A review that reframes automated trading-signal (alpha) discovery as noisy, dynamic, multiobjective evolutionary optimization, and proposes six-component and eight-dimension frameworks for comparing and evaluating methods.