A new stock price prediction method based on pattern classification

摘要

In this paper, a new method is proposed to predict the trend of a stock price based on pattern analysis. The probabilistic relaxation algorithm is employed to classify the probability vectors of the patterns related to a considered stock price. A series of experiments have been carried out on the real stock price to verify the effectiveness of the proposed method.