Diagram showing the workflow from raw trading data to finalized machine learning models, highlighting data preprocessing, model training, parameter tuning, and performance evaluation.

Flowchart illustrating the process of machine learning model selection for actual trading data, including data cleaning, attribute selection, 5-fold cross-validation, parameter optimization using genetic algorithms, and evaluation of models like LSSVR, CART, GRNN, and BPNN.