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

被引:0
|
作者
Lee, CS [1 ]
Loh, KY [1 ]
机构
[1] Monash Univ, Sch Business Syst, Fac Informat Technol, Clayton, Vic 3168, Australia
关键词
optimisation; genetic programming; technical; indicators; and foreign exchange market;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:1159 / 1163
页数:5
相关论文
共 50 条