期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：9
页码：8026-8029
出版社：IJECS
摘要：In this paper we propose a new model for prediction of stock market behavior using pattern matching approach. The fluctuationof stock market is characterized by a number 0 and 1, ‘0’ denoting non-increasing state and ‘1’ denoting an increasing state. Thebehavior of the stock market is put into sequence of 0’s and 1’s which was converted to the sequence of nucleotides A, T, C, G.This sequence so obtained is matched to the text DNA sequence by using BLAST. Comparing their results using hammingdistance and predict the future increasing or non-increasing behavior of stock market. Possibility using this approach to predict thestock market behavior is explored
