Presentation 2007-03-06
A Study on GA based generation of the technical patterns in financial markets
Junichi ENDOU, Takao SASAKI, Hisamichi TOYOSHIMA,
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Abstract(in English) In the time series data forecast of financial markets, there is a method to use chart formation that is called a technical pattern. Technical patterns include various patterns such as double top and so on, and finding such patterns in the real chart can help forecast the trend. These patterns are often recognized visually, and so they are not suited for mechanical forecast by computers. Moreover, there are not so many studies concerning the probability of the specific price move in the specific period. This research recognizes patterns mechanically, and proposes the method of generating technical patterns that can reach the specific price target within the specific period by using genetic algorithm.
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Keyword(in English) Technical Analysis / Technical Pattern / Genetic Algorithm
Paper # CAS2006-104,SIP2006-205,CS2006-121
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Committee SIP
Conference Date 2007/2/27(1days)
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Registration To Signal Processing (SIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on GA based generation of the technical patterns in financial markets
Sub Title (in English)
Keyword(1) Technical Analysis
Keyword(2) Technical Pattern
Keyword(3) Genetic Algorithm
1st Author's Name Junichi ENDOU
1st Author's Affiliation Faculty of Engineering, Kanagawa University()
2nd Author's Name Takao SASAKI
2nd Author's Affiliation Faculty of Engineering, Kanagawa University
3rd Author's Name Hisamichi TOYOSHIMA
3rd Author's Affiliation Faculty of Engineering, Kanagawa University
Date 2007-03-06
Paper # CAS2006-104,SIP2006-205,CS2006-121
Volume (vol) vol.106
Number (no) 570
Page pp.pp.-
#Pages 4
Date of Issue