• DocumentCode
    3767620
  • Title

    An investigation into the recurring patterns of forex time series data

  • Author

    Yoke Leng Yong;Yunli Lee;David Ngo

  • Author_Institution
    Department of Computing & Information Systems, Sunway University, Selangor, Malaysia
  • fYear
    2015
  • Firstpage
    313
  • Lastpage
    317
  • Abstract
    Countless theories have been developed by both researchers and financial analyst in an attempt to explain the fluctuation of forex price. By obtaining an intimate understanding of the forex market, traders will hopefully be able to forecast and react to forex price oscillations on-the-fly towards making a profitable investment. In this paper, an investigation into the underlying theory that there exists repeating patterns within the time series data which forms the basis of technical analysis is conducted. The assumption that certain patterns do develop over time and the forex market does not fluctuate in a random manner is used to establish the fact that history repeats itself in forex trading. The patterns and repetitions unveiled within the forex historical data would be an important element for forex forecasting.
  • Keywords
    "Markov processes","Biological system modeling","Computational modeling","Robustness"
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Intelligent Sensors (IRIS), 2015 IEEE International Symposium on
  • Type

    conf

  • DOI
    10.1109/IRIS.2015.7451631
  • Filename
    7451631