Research on Multi Source Data Driven Modeling of Individual Investment Decision Behavior and Machine Learning Prediction Mechanism
This study develops a multi-source data-driven framework for modeling individual investment decision behavior and predicting investor actions through machine learning. The research focuses on how trading history, portfolio structure, market exposure, information attention, and user profile variables jointly shape next-...