WEB APPLICATION FOR FUZZY CANDLESTIC PATTERN RECOGNITION ON FINANCIAL MARKETS

  • Miloš Milić United Group
  • Aleksandar Rakićević Faculty of organiyational sciences
  • Pavle Milošević Faculty of organizational sciences
  • Vlado Simeunović Pedagoški fakultet u Bijeljini
Keywords: web application, fuzzy logic, interpolative Boolean agebra, pattern recognition, candlestick patterns, technical analysis

Abstract

This paper presents Doji Star web application for candlestick pattern recognition on financial markets. These patterns are a special method of financial technical analysis, with the aim of identifying psychological pattern in behaviour of stock market participants. The application uses interpolative logical models as mathematical tool for fuzzy modelling of candlestick patterns. These models are based on interpolative Boolean algebra and are able to idetify patterns using real-valued gradation. Within this application, interpolative logical models are implemented as technical indicators and displayed separatedly, beneath price charts. Doji Star application was created using Javascript, Vaadin and Spring technology. In this paper, we present practical use of Doji Star application for candlestick pattern identification on the example of Airport Nikola Tesla Belgrade stocks.

InfoM
Published
2019-07-16
Issue
Vol 2019 No 69
Section
Articles