Visualization of stock price by Self-Organizinig Map

Abstract

This paper introduces a new data visualization method to be used in the analysis of stock change. To visualize stock change effectively, we focus on the change of the continuous session, since the change of the continuous session can be represent the change of investor's minds. In order to visualize continuous session as investor's minds, we apply self-organizing map to classify investor's minds. The results are demonstrated proposed methods can be visualized stock change and inventor's minds.