<ul><li>The pursuit of alpha returns in finance has evolved from intuition-driven investing to autonomous, AI-powered systems.</li><li>A comprehensive five-stage taxonomy traces the progression across manual strategies, statistical models, classical machine learning, deep learning, and large language model (LLM) agents.</li><li>The shift towards context-aware financial agents capable of real-time reasoning, scenario simulation, and cross-modal decision making is highlighted.</li><li>Challenges in interpretability, data fragility, governance, and regulatory compliance are examined in this evolution of alpha in finance.</li></ul>

The Evolution of Alpha in Finance Harnessing Human Insight and LLM Agents

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