• DocumentCode
    3258718
  • Title

    Enhancing technical analysis in the forex market using neural networks

  • Author

    Chan, Keith C C ; Teong, FOO Kean

  • Author_Institution
    Dept. of Comput., Hong Kong Polytech. Univ., Kowloon, Hong Kong
  • Volume
    2
  • fYear
    1995
  • fDate
    Nov/Dec 1995
  • Firstpage
    1023
  • Abstract
    Copious test by countless professionals have proven technical analysis to be, at best, break-even tools, even with the finest money management techniques. Technical analysis is not designed to deal with non-uniform periodic, and discontinuous functions. To manage these inadequacies, one employs a neural network. The simple network described in this paper predicts technical indicators, and generates trading signals before regular technical indicators do. This gives one the opportunity to enter, and exit trades before the crowd. Tests, and actual trades, have shown that for most of the time, one or two days, is all the advantage one needs
  • Keywords
    backpropagation; feedforward neural nets; financial data processing; forecasting theory; foreign exchange trading; backpropagation; feedforward neural networks; foreign exchange trading; forex market; money management; technical analysis enhancement; technical indicator forecasting; trading signals; Computer network management; Computer networks; Counting circuits; Financial management; Intelligent networks; Neural networks; Oscillators; Signal generators; Stochastic processes; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1995. Proceedings., IEEE International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-2768-3
  • Type

    conf

  • DOI
    10.1109/ICNN.1995.487561
  • Filename
    487561