The Prediction and Investitive Decision Software of Stock Price with Support Vector Machine and Fuzzy Theory

Abstract

In this paper, the prediction and investitive decision software of stock price with support vector regression machine and fuzzy decision is proposed. Firstly, we used support vector regression machine for Taiwan stock price that used daily and practical price to input data and to implement stock approximated simulation and prediction. Furthermore, used learned model data from generate of learning to future stock price trend for prediction analysis and technical index analysis that combine fuzzy decision theory for develop optimal investitive decision. According to this method to handle buy, sell or unhandled, let investor to find out this trend. Finally, investitive decision software is implemented with .net environment.