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Stock market prediction using classifier system based on incident pattern of wave template

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3 Author(s)
Ryota Kato ; Graduate School of Environment and Information Sciences, Yokohama National University, Yokohama, Japan ; Noriko Yata ; Tomoharu Nagao

In recent years, because of the development of computers, it has been possible to analyze, that is to say the data mining. Due to this, there are a lot of studies about stock market prediction using past stock data. Almost all these methods, however, use only predicting brand information. There are a lot of factors of the price, but it is possible to think that other brands affect the price. In this paper, we propose a prediction method that uses not only the predicting brand information but also other brands information. We show the effectiveness of our method through the experiment of stock market prediction.

Published in:

SICE Annual Conference 2010, Proceedings of

Date of Conference:

18-21 Aug. 2010