Abstract
Modern financial markets are characterized by increasing uncertainty resulting from economic fluctuations, technological innovations, geopolitical developments, and changing investor behavior. Under such conditions, forecasting stock performance has become increasingly complex, requiring analytical approaches capable of responding to rapidly changing market environments. Traditional forecasting methods, which often rely on historical data and fixed assumptions, may not adequately capture the dynamic nature of contemporary financial markets.
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