AI-Driven Stock Market Prediction Models

Abstract: The stock market is a dynamic system that is influenced by various economic, political, and psychological factors. The conventional methods of prediction are not able to handle the dynamic nature of the stock market. Artificial Intelligence (AI) has been recognized as a strong technology for processing large volumes of financial data and uncovering patterns that are not easily visible. AI-based stock market prediction models employ various AI technologies, including machine learning, deep learning, and neural networks, for predicting stock market prices and trends. The application of AI is likely to improve decision-making for investors, minimize biases, and increase accuracy in stock market prediction. However, some issues are still affecting the accuracy of AI-based prediction models, including data accuracy, overfitting, and the dynamic nature of stock markets. This study is based on the application of AI in stock market prediction, its benefits, drawbacks, and future scope in stock markets.