Mathematical Models for Predicting Stock Market Fluctuations 📈

This presentation explores mathematical models for stock market prediction, highlighting their purpose and relevance to understanding market fluctuations. It delves into key model types, including statistical, machine learning, and hybrid approaches. Attendees will learn steps for developing predictive models, focusing on data acquisition, evaluation methods, and performance metrics. Real-world applications and case studies will provide insights into practical implementations and lessons...