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Title page for etd-0217117-113040


URN etd-0217117-113040 Statistics This thesis had been viewed 468 times. Download 0 times.
Author Hsu-Tzu Hen
Author's Email Address No Public.
Department Information Management
Year 2016 Semester 1
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 49
Title Automatic Forex Trading Strategies
Keyword
  • Forex indicators
  • Forex strategy
  • Forex strategy
  • Forex indicators
  • Abstract Automated trading is one of the major topics in the field of financial domain and has been used wildly. In forex market, buy and sell are the key rules to making profit or loss. The investors always create various technical indicators to generate more benefits. A well-design trading strategy is critical to make money stably in this dramatic foreign exchange market. The investors are usually uncertain about the trading timing and so many factors may influence the investment decision, thus trading automation with a good strategy would be a good way to reduce human mistake and solve investors’ financial problem. In this study, we will focus on homeopathic transactions and fuse multiple indicators to create an effective trading strategy for the currency namely EURUSD. We will launch the trading strategy via the automated system created by the bank of Dukascopy in Europe. Back testing trading period is considered for 10 years (the historic data is provided from Jan. 2004 to Dec. 2013). In addition, the same trading strategy is also launched during the events of Brexit Referendum and American President Election. The results show that this strategy can provide investors with lower risk to adapt the market fluctuations, save time and avoid making the wrong investment decisions in foreign exchange market.
    Keyword: Forex strategy, Forex indicators, TA (Technical analysis), ATS (Automated trading system),
    Advisor Committee
  • Shing-Han Li - advisor
  • Yung-Hsin Wang - advisor
  • Patrick S,CHEN - co-chair
  • Files indicate in-campus access at one year and off-campus not accessible
    Date of Defense 2017-01-11 Date of Submission 2017-02-17


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