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
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