• DocumentCode
    3495943
  • Title

    GP-based optimisation of technical trading indicators and profitability in FX market

  • Author

    Lee, Cheng Song ; Loh, Khai Yam

  • Author_Institution
    Sch. of Bus. Syst., Monash Univ., Clayton, Vic., Australia
  • Volume
    3
  • fYear
    2002
  • fDate
    18-22 Nov. 2002
  • Firstpage
    1159
  • Abstract
    Some empirical evidence have suggested that it is possible to reap profit with one well chosen trading indicator that possesses embedded market timing adaptability, to trade either stocks or foreign currencies over medium term of 3 to 5 years. The profit is however attained with risk-taking embedded in the determination of a buy decision. To achieve more consistent profitability with a moderate risk, we propose a modified GP-based optimised trading rule, which involves the dynamic use of two out a finite number of pre-specified indicators. In this respect, the proposed rule is neither too risk-averse nor too risk-taking biased in the determination of a buy decision. Based on the minimum cash draw-down criterion and adopting momentum trading strategy (i.e., following the trend) the statistical test results suggest that consistent profit after accounting for transaction cost is achievable through extrapolating the trend.
  • Keywords
    foreign exchange trading; genetic algorithms; profitability; risk analysis; buy decision; foreign exchange market; genetic programming; optimisation; profitability; risk-averse; risk-taking; technical indicators; Computer networks; Economic forecasting; High performance computing; Humans; Information technology; Macroeconomics; Pattern analysis; Profitability; Robustness; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
  • Print_ISBN
    981-04-7524-1
  • Type

    conf

  • DOI
    10.1109/ICONIP.2002.1202803
  • Filename
    1202803