In recent years,the issue of quantitative investment has been widely concerned In this paper,we mainly discuss the theory of machine learning in the field of quantitative invest-ment In this paper,we use the decision tree algorithm to identify constituent stock of the CSI 500 index.The split of research,find out which has the excess return of stock,build a portfolio.We applied The machine learning algorithms such as SMOTE,CART and ran-domforests are used to build the model The performance of his machine learning algorithm on this dataset shows that our algorithm performs well. |