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  • 标题:New Method of Financial Technical Analysis Based on the Perspective of Mathematical Modeling
  • 本地全文:下载
  • 作者:Pin Wang ; Limin Shao ; Hong Li
  • 期刊名称:Journal of Software Engineering
  • 印刷版ISSN:1819-4311
  • 电子版ISSN:2152-0941
  • 出版年度:2015
  • 卷号:9
  • 期号:3
  • 页码:504-519
  • DOI:10.3923/jse.2015.504.519
  • 出版社:Academic Journals Inc., USA
  • 摘要:In this study, the core of this study is to obtain the extreme values of share price function with the similar curve method. This study follows the four stages of mathematical model ing: Questioning, modeling, verification and comparison, redefines the new method of financial technical analysis-similar curve method and gives two original new concepts-curve similarity and WP indicator, as well as the visually achieved key source mode. With SPSS software, it is obtained that the probabilities for the increasing function to gain the maximum and minimum WP values are, respectively 34.28 and 22.86% and those for the decreasing function to obtain the maximum and minimum WP values are, respectively 33.33 and 25.71%. The test results of the original WP expert system to the 4 management objectives, i.e., win rate, annual rate of return, net profit rate and annual number of transactions are, respectively 87.57, 75.70, 31.54 and 6,837.60. Compared with other 6 expert systems, the above results are optimal. Due to similar methods of financial technical analysis, the similar curve method can be applied to the analysis of all transactions.
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