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The defense date of the thesis is 2011-08-18
The current date is 2019-04-24
URN etd-0815111-210235 Statistics This thesis had been viewed 1601 times. Download 0 times. Author Cheau-Pey Chen Author's Email Address No Public. Department Information Management Year 2010 Semester 2 Degree Master Type of Document Master's Thesis Language zh-TW.Big5 Chinese Page Count 99 Title AN EMPIRICAL STUDY ON TRADING RULES OF INTELLIGENT AUTOMATED FOREX TRADING Keyword Law of Inertia Foreign Exchange Automated Trading Automated Trading Foreign Exchange Law of Inertia Abstract Traditional manual trading in the financial market often cannot react to market
change to make timely decision on trading. Therefore, this study makes use of the trend of financial market to implement a foreign exchange automated trading system, aiming to improve profitability. The system has the ability to adapt to market fluctuations and make the appropriate decisions, hoping to replace manual transactions. In this study, the design strategy is based on the trend indicators, while supporting other theories in decision making. Comparisons are made to select suitable strategies and parameters. In order to achieve a complete investment vehicle, more stringent risk management is adopted to avoid vehement loss in unexpected market fluctuations. With the impassionate character of computer, the automated trading system could be expected to operate without humanattendance.
Advisor Committee Prof. Patrick S. Chen - advisor
Files Date of Defense 2011-06-10 Date of Submission 2011-08-18