DOI QR코드

DOI QR Code

FOREX Web-Based Trading Platform with E-Learning Features

  • Yong, Yoke Leng (Department of Computing & Information Systems, Sunway University) ;
  • Lieu, Shang Qin (Department of Computing & Information Systems, Sunway University) ;
  • Ngo, David (Department of Computing & Information Systems, Sunway University) ;
  • Lee, Yunli (Department of Computing & Information Systems, Sunway University)
  • 투고 : 2017.08.30
  • 심사 : 2017.09.21
  • 발행 : 2017.12.31

초록

There has been an influx of traders and researchers eager to gain a better understanding of the market due to the rapid growth of the FOREX market. Traders with varying degree of experience are also often inundated with information, analysis methods as well as trading rules when making a trading decision on buying/selling a currency exchange pair. Thus, this paper reviews the current computational tools and analysis methods used within the FOREX trading community and proposes the development of a web-based trading platform with e-learning features to support beginners. Novice traders could also benefit from the use of the proposed e-learning trading platform as it helps them gain valuable knowledge and navigate the FOREX market in real-time. Even experienced traders would find it useful as the platform could be used for actual trading and acts as a reference point to understand the reasoning behind the certain technical analysis implementation that are still unclear to them.

키워드

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