Utilization of Neural Network for Constructing a User Friendly Decision Support System to Deal Stocks

Abstract

Recently, the use of neural networks in financial market is becoming to be one of the most exciting and promising application areas. In this paper, a user friendly decision support system for dealing stocks has been developed. The proposed system has been tested using the data of Tokyo Stock Market. The simulation results having been obtained suggest the usefulness of the proposed system.