Predicting Stock Prices using state-of-art Machine Learning Models with Enhanced Feature Representation and Momentum Indicator Selection

Key Points

• The aim is to enhance the prediction accuracy of stock prices using advanced machine learning techniques.
• Utilized state-of-art machine learning models for stock price prediction
• Enhanced feature representation to improve accuracy and interpretability
• Selected momentum indicators to optimize model performance
• Achieved significant improvements in prediction accuracy compared to traditional methods
• Identified key features that contribute to stock price movements
• Demonstrated effectiveness of chosen momentum indicators in predictions