The optimization of technical trading strategy using genetic algorithm approach / Khairunnisa Musa

Musa, Khairunnisa (2006) The optimization of technical trading strategy using genetic algorithm approach / Khairunnisa Musa. Degree thesis, Universiti Teknologi MARA.

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Abstract

Recently, the use of genetic algorithm for the optimization of technical trading strategies has been receiving a great deal of attention. A technical trading strategy involves the study of past behavior in order to draw conclusions concerning the direction and magnitude of future price movement. Technical models are designed to keep investor trading with the trend. Understanding the best trend could produce a promising lucrative investment. This research is about an application of technical trading strategy to foreign exchange market by using Standard Genetic Algorithm (STDGA). Genetic algorithm is used as a tool to efficiently search for the most attractive solution as a suggestion for the trader to trade in foreign currencies. Results from the function optimization shows that STDGA is effective and efficient in locating the optimal solution (the maximum value of the Sharpe Ratio). COPYRIGHT ©

Item Type: Thesis (Degree)
Creators:
CreatorsID Num.
Musa, KhairunnisaUNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic computers. Computer science
Q Science > QA Mathematics > Instruments and machines > Electronic computers. Computer science

T Technology > T Technology (General)
Divisions: Faculty of Computer and Mathematical Sciences
Item ID: 1520
Last Modified: 13 Nov 2019 08:14
Depositing User: Staf Pendigitalan 1
URI: http://ir.uitm.edu.my/id/eprint/1520

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