A Trial for Improving the Traditional Technical Analysis Which Utilizes Neural Networks

Abstract

In this paper, we propose a new decision support system (DSS) for dealing stocks which improves the traditional technical analysis by using neural networks. In the proposed system, neural networks are utilized in order to predict the “Golden Cross” (“Dead Cross”) several weeks before it occurs. Computer simulation results concerning the dealings of the TOPIX and Nikkei-225 confirm the effectiveness of the proposed system.