Investment using technical analysis and fuzzy logic

被引:90
作者
Dourra, H [1 ]
Siy, P [1 ]
机构
[1] Wayne State Univ, Dept Elect Engn, Detroit, MI 48202 USA
关键词
fuzzy relations; finance; technical analysis; human behavior; signal mapping; technical indicators;
D O I
10.1016/S0165-0114(01)00169-5
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Deploy fuzzy logic engineering tools in the finance arena, specifically in the technical analysis field. Since technical analysis theory consists of indicators used by experts to evaluate stock prices, the new proposed method maps these indicators into new inputs that can be fed into a fuzzy logic system. The only required inputs to these indicators are past sequence of stock prices. This method relies on fuzzy logic to formulate a decision making when certain price movements or certain price formations occur, The success of the system is measured by comparing system output versus stock price movement. The new stock evaluation method is proven to exceed market performance and it can be an excellent tool in the technical analysis field. The flexibility of the system is also demonstrated. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:221 / 240
页数:20
相关论文
共 22 条
  • [1] ACHELIS SB, 1993, TECHNICAL ANAL A Z
  • [2] [Anonymous], 1994, NEURAL NETWORK TIME
  • [3] [Anonymous], TECHNICAL ANAL
  • [4] APOSTOLOU B, 1995, KEYS INVESTING COMMO
  • [5] BENACHENHOU D, 1996, SMART TRADING FRET T
  • [6] Berenji H. R., 1992, INTRO FUZZY LOGIC AP, P69
  • [7] THEORETICAL AND LINGUISTIC ASPECTS OF THE FUZZY LOGIC-CONTROLLER
    BRAAE, M
    RUTHERFORD, DA
    [J]. AUTOMATICA, 1979, 15 (05) : 553 - 577
  • [8] DEBOECK GJ, 1996, TRADING EDGE
  • [9] Francis J.C., 1993, MANAGEMENT INVESTMEN, V3rd
  • [10] Gately E., 1996, NEURAL NETWORKS FINA