Selecting the Efficient Market Indicators in the Trading System on the Forex Market

被引:0
作者
Juszczuk, Przemyslaw [1 ]
Krus, Lech [2 ]
机构
[1] Univ Econ, Fac Informat & Commun, Dept Knowledge Engn, 1 Maja 50, PL-40287 Katowice, Poland
[2] Polish Acad Sci, Syst Res Inst, Newelska 6, PL-01447 Warsaw, Poland
来源
INFORMATION SYSTEMS ARCHITECTURE AND TECHNOLOGY, ISAT 2018, PT III | 2019年 / 854卷
关键词
Trading system; Forex; Selection of market indicators; Efficiency of market indicators; ALGORITHM;
D O I
10.1007/978-3-319-99993-7_12
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A concept of the trading system is proposed in which only selected market indicators generating the most beneficial recommendations for traders are included. The proposal can be implemented as an additional module included in the existing trading systems. We present a procedure, in which for a given initially considered indicators, only the selected ones being the most beneficial for a trader for a given time window are derived. In the procedure, an efficiency of initially considered indicators is verified in each time window on the basis of their past performance. Using the verification results the ranking and selection of the best ones is made. This procedure is implemented and included in the trading system on the Forex market. To evaluate our approach we have performed detailed experiments including real-world data covering the period of almost three years and ten different technical indicators. The presented results show, that the proposed approach is promising. The set of indicators included in trading systems should be limited and changed sequentially using the presented procedure.
引用
收藏
页码:122 / 133
页数:12
相关论文
共 16 条
  • [1] [Anonymous], 2003, International Journal of Smart Engineering System Design
  • [2] Baccianella A., 2010, P EUR LANG RES ASS E
  • [3] Brabazon A., 2004, COMPUT MANAG SCI, V1, P311, DOI DOI 10.1007/S10287-004-0018-5
  • [4] Currency jumps, cojumps and the role of macro news
    Chatrath, Arjun
    Miao, Hong
    Ramchander, Sanjay
    Villupuram, Sriram
    [J]. JOURNAL OF INTERNATIONAL MONEY AND FINANCE, 2014, 40 : 42 - 62
  • [5] Investment using technical analysis and fuzzy logic
    Dourra, H
    Siy, P
    [J]. FUZZY SETS AND SYSTEMS, 2002, 127 (02) : 221 - 240
  • [6] Forecast Forex With ANN Using Fundamental Data
    Eng, Ming Hao
    Li, Yang
    Wang, Qing-Guo
    Lee, Tong Heng
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT, INNOVATION MANAGEMENT AND INDUSTRIAL ENGINEERING, VOL 1, 2008, : 279 - 282
  • [7] Juszczuk P., 2017, MULTI CRITERIA DECIS, V12, P60
  • [8] Kirkpatrick II C. D, 2010, Technical Analysis - The complete resource for financial Market Technicians
  • [9] Lee CS, 2002, ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING, P1159
  • [10] Ensemble learning of rule-based evolutionary algorithm using multi-layer perceptron for supporting decisions in stock trading problems
    Mabu, Shingo
    Obayashi, Masanao
    KuremotoGraduate, Takashi
    [J]. APPLIED SOFT COMPUTING, 2015, 36 : 357 - 367