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Title page for etd-0902110-180854


URN etd-0902110-180854 Statistics This thesis had been viewed 1795 times. Download 4 times.
Author Yu-Wei Chang
Author's Email Address No Public.
Department Information Management
Year 2009 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 46
Title DESIGN AND IMPLEMENTATION OF AN INTELLIGENT AUTOMATED FOREX TRADING SYSTEM
Keyword
  • Law of Inertia
  • Automated Trading
  • Foreign Exchange
  • Foreign Exchange
  • Automated Trading
  • Law of Inertia
  • Abstract In this study an intelligent automated trading system for foreign exchange is designed and implemented. An intelligent trading system is developed to simulate the foreign exchange market transactions. Through continuous training and improvements, the system will be able to assist manual trading, achieving more accurate decision-making. Based on the law of inertia, we analyze positive and negative forces in the foreign exchange market. According to the law of inertia, if no external force exists, the movement will continue constantly. The external force can be viewed as the negative energy in reverse to the current trend. It will result in reduction of the forward momentum, even reversion of the current direction of movement. In the kernel of the system, trend indicators and oscillation indicators are referenced to improve the accuracy of investment decision. The paper also addresses the issues of strategies and the challenges of automated trading. After simulation, results are systematically analyzed and improvement suggestions are fed back. The system is expected to be able to trade automatically at a lower risk level.
    Advisor Committee
  • Patrick S. Chen - advisor
  • none - co-chair
  • none - co-chair
  • Files indicate in-campus access only
    Date of Defense 2010-07-28 Date of Submission 2010-09-06


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