Ai-driven Data Analytics for Enhancing Predictive Accuracy in Financial Markets

This study explores the integration of Artificial Intelligence (AI) in financial market predictions, focusing on the application of machine learning models to improve the accuracy of stock price forecasts. It investigates the efficacy of combining time series analysis with advanced neural networks, including Long Short-Term Memory (LSTM) networks and Convolutional Neural Networks (CNNs), to analyze historical stock data and predict future trends. The results suggest significant improvement in predictive accuracy over traditional models.