Table of Contents:
  • Preface
  • Chapter 1. Artificial Intelligence in Stock Market Trading: A Comprehensive Survey of Models and Applications
  • Chapter 2. Emerging Trends in AI-Driven Finance: A Topic Modeling Approach
  • Chapter 3. AI-Powered Forecasting and Portfolio Optimization: From Predictive Models to Strategic Investment Decisions
  • Chapter 4. AI in Portfolio Management and Asset Allocation Optimizing Investment Strategies in Financial Markets: Transforming Investment With Intelligent Systems
  • Chapter 5. Stock Price Forecasting With Deep Learning Models Combined With Classical Statistical Techniques for Enhanced Accuracy
  • Chapter 6. Real-Time AI-Driven Stock Trading Systems: From Prediction to Execution
  • Chapter 7. Unveiling the Potential of AI in Volatile and Less Liquid Markets
  • Chapter 8. The Use of Large Language Models in Financial Forecasting: Analysis, Prediction, and Decision-Making
  • Chapter 9. Classifying Digital Wallet Apps by Transaction Intensity: A Machine Learning Approach
  • Compilation of References
  • About the Contributors
  • Index.