Presentation 2013-12-12
A Consideration on relationship between optimizing interval and dealing day in optimization of stock day trading rules
Shingo Omoto, Hiroyuki Takehana, Makoto Ohki,
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Abstract(in English) In this paper, a new technique to create a strategy tree expressing the day trading rule by using the technical indicators. The technical indicators is generaly used in the stock trading and predict the changes in the futreu based on the price movement of the past. The strategy tree is optimized by using genetic programming. In this reasech, several parameters for trading criteria are optimized by using perticle swarm optimization technique. Besides, we propose a loss-cut technique to the day trading rule. By means of the loss-cut technique, we aim to provide stability of the acquired day trading rule. We also propose a technique to apply the acquired rule to the day immediately following the optimization pereod.
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Keyword(in English) Genetic Programming / Particle Swarm Optimization / Stock trading / Technical indicators
Paper # SIS2013-39
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Conference Date 2013/12/5(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Consideration on relationship between optimizing interval and dealing day in optimization of stock day trading rules
Sub Title (in English)
Keyword(1) Genetic Programming
Keyword(2) Particle Swarm Optimization
Keyword(3) Stock trading
Keyword(4) Technical indicators
1st Author's Name Shingo Omoto
1st Author's Affiliation Faculty of Engineering, Tottori University()
2nd Author's Name Hiroyuki Takehana
2nd Author's Affiliation Faculty of Engineering, Tottori University
3rd Author's Name Makoto Ohki
3rd Author's Affiliation Faculty of Engineering, Tottori University
Date 2013-12-12
Paper # SIS2013-39
Volume (vol) vol.113
Number (no) 343
Page pp.pp.-
#Pages 4
Date of Issue