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Financial markets exhibit complex dynamic behavior, particularly during periods of instability when traditional assumptions about market efficiency tend to break down. This study builds upon an ML-based AI system developed in [1], [2], which extracts information from companies’ financial statements to model stock price directional movements. From a behavioral finance perspective, investor biases may lead to deviations from rational decision-making, especially during periods of market stress. To address this, a m...