AI-Driven Stock Market Prediction Using Ensemble Learning and Investor Knowledge
Published:Dec 16, 2025 03:17
•1 min read
•ArXiv
Analysis
This research explores a sophisticated AI approach for stock market index prediction by leveraging multiple data sources and investor-specific insights. The use of dynamic stacking ensemble learning suggests a potentially adaptable and robust model for forecasting.
Key Takeaways
- •Applies ensemble learning, a technique that combines multiple machine learning models to improve predictive accuracy.
- •Utilizes investor knowledge representations, which may incorporate sentiment analysis or other investor-related data.
- •Focuses on multi-source financial data, suggesting a data-driven approach leveraging various types of information.
Reference
“The article focuses on dynamic stacking ensemble learning for stock market prediction.”