Candlestick Tutor: An Intelligent Tool for Investment Knowledge Learning and Sharing

  • Authors:
  • Chiung-Hon Leon Lee;WenSung Chen;Alan Liu

  • Affiliations:
  • National Chung Cheng University;National Cheng Kung University;National Chung Cheng University

  • Venue:
  • ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
  • Year:
  • 2005

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Abstract

An intelligent tool for the investment knowledge learning and sharing is proposed and developed. The candlestick pattern is a widely used empirical model of investment decision and the investors can make investment decisions by the identified candlestick patterns. The imprecise and vague investment knowledge is represented in fuzzy candlestick patterns. The pattern consists of candlestick lines which are derived from the variation of the trading prices. The investor can create, edit, validate, and share the patterns by the proposed system. A graphical user interface (GUI) is designed to display the candlestick patterns and the user can also capture the pattern directly from the GUI. A fuzzy pattern recognition module is implemented in the system to help the user to identify the patterns automatically from the large amount financial database.