Predicting stock price using fuzzy grey prediction system

The purpose of this paper is to predict the stock price instantly at any given time. One problem with predicting stock prices is that there may be a large or small difference in two continuous sets of data. The other problem is that the volume of stock data is so large that it affects our ability to use it. To solve these problems, we constructed a data mart to reduce the size of stock data and combined fuzzification techniques with the grey theory to develop a fuzzy grey prediction as One of predicting functions in our system to predict the possible answer immediately. To demonstrate that our system is working correctly, we used our prediction system to analyse stock data and to predict the stock price promptly at a specific time. The system can effectively help stock dealers deal with day trading. (C) 2001 Published by Elsevier Science Ltd.