Before revision:   In this paper, we propose an empirical study on the Korean and Hong Kong stock market with an integrated machine learning framework that employs Principal Component Analysis (PCA) and Support Vector Machine (SVM). We try to predict the upward or downward direction of stock market index and stock price .
After revision:  In this paper, we propose a method that directly uses prices data to predict market index direction and stock price .