Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
第36回ISCIE「確率システム理論と応用」国際シンポジウム(2004年11月, 埼玉鳩山)
Utilization of Soft Computing Techniques for Improving the Traditional Technical Analysis in the Financial Markets
Norio BabaTomoko KawachiToshinori Nomura
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ジャーナル フリー

2005 年 2005 巻 p. 149-152

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During the last several decades, the soft computing techniques such as NNs & GAs have been studied quite extensively by many researchers and have been applied to various real world problems. They have been successfully utilized for constructing a large number of intelligent systems. One of the most remarkable application areas may be the financial market. Nowadays, comparatively large numbers of researchers show keen interest in the application of soft computing techniques to the financial market. In this paper, we shall propose a DSS for dealing stocks which improves the traditional technical analysis by utilizing soft computing techniques. In the proposed DSS, soft computing techniques are utilized in order to detect “Golden Cross” and “Dead Cross" several weeks before it occurs. We shall also give several computer simulation results which confirm the effectiveness of the proposed DSS.
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© 2005 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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