PERFORMANCE EVALUATION AND OPTIMIZATION OF A MACHINE LEARNING-BASED PREDICTIVE FRAMEWORK FOR STOCK MARKET TREND ANALYSIS USING REAL-WORLD FINANCIAL DATA
The stock market is a nonlinear, dynamic and unpredictable market, making accurate forecasting a difficult task. In this paper, a machine learning approach for stock market trend prediction is proposed based on real-world financial data and technical indicators. The framework includes a comprehensive data preprocessing...