TY - GEN
T1 - New stock price prediction method based on pattern classification
AU - Zhanggui, Zeng
AU - Yan, Hong
AU - Fu, Alan M N
PY - 1999
Y1 - 1999
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0033345423&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0033345423&origin=recordpage
M3 - RGC 32 - Refereed conference paper (with host publication)
VL - 6
SP - 3866
EP - 3870
BT - Proceedings of the International Joint Conference on Neural Networks
T2 - 1999 International Joint Conference on Neural Networks (IJCNN'99)
Y2 - 10 July 1999 through 16 July 1999
ER -