Presentation 2014-01-21
Automated Forex Trading System Using the Nonlinear Portfolio Model
Hirotake WACHI, Thanh Vu TAT, Satoshi INOSE, Atsushi KANNARI, Tomoya SUZUKI,
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Abstract(in English) In our previous studies, the nonlinear portfolio model was proposed and its usefulness was confirmed in stock markets. However, stock markets have some problems and inconvenient rules such as low liquidity risks, regulations for short selling, and the unit share system. Then, the nonlinear portfolio model has not yet been confirmed whether it can work in foreign exchange markets. For these reasons, in the present study, we modified the nonlinear portfolio model in order to apply it to foreign exchange markets, and then developed a new automated trading system. Here, MetaTrader has been well-known as a famous free tool to make an automated trading system. However, the way of programing is unique, and it is sometimes changed by releasing a new version. So, we do not use it mainly, but only for getting new price data and sending orders to the market. For composing the nonlinear portfolio model, we instead use Matlab, which is a standard programing software. Finally, we connect Matlab with MetaTrader to repeat the daily investment process automatically everyday.
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Keyword(in English) Nonlinear time-series prediction / nonlinear portfolio model / foreign exchange markets / automated trading system
Paper # NLP2013-132
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Conference Information
Committee NLP
Conference Date 2014/1/14(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Automated Forex Trading System Using the Nonlinear Portfolio Model
Sub Title (in English)
Keyword(1) Nonlinear time-series prediction
Keyword(2) nonlinear portfolio model
Keyword(3) foreign exchange markets
Keyword(4) automated trading system
1st Author's Name Hirotake WACHI
1st Author's Affiliation Department of Intelligent Systems Engineering, College of Engineering, Ibaraki University()
2nd Author's Name Thanh Vu TAT
2nd Author's Affiliation Department of Intelligent Systems Engineering, College of Engineering, Ibaraki University
3rd Author's Name Satoshi INOSE
3rd Author's Affiliation Graduate School of Science and Engineering, Ibaraki University
4th Author's Name Atsushi KANNARI
4th Author's Affiliation International Audit Department, MS&AD Insurance Group Holdings
5th Author's Name Tomoya SUZUKI
5th Author's Affiliation Department of Intelligent Systems Engineering, College of Engineering, Ibaraki University
Date 2014-01-21
Paper # NLP2013-132
Volume (vol) vol.113
Number (no) 383
Page pp.pp.-
#Pages 6
Date of Issue