Price Pattern Detection Using Finite State Machine with Fuzzy Transitions

Author

Maneesilp, Kraimon ; Prasatkaew, Chutima

Author_Institution

Sci. & Technol. Fac., Rajamangala Univ. of Technol. Thanyaburi, Pathumthani, Thailand

fYear

2014

fDate

5-7 Nov. 2014

Firstpage

126

Lastpage

130

Abstract

A price pattern is one popular technique of investment technical analysis. It is a strong signal to predict the direction of market prices and will show the good entry-exit point for investors. However, it is loosely pattern. So, it is difficult to cover detected all patterns by computer programming. This article presents a methodology through applying the Finite State Machine with Fuzzy Transitions (FSM-FT) to recognize the price pattern. The result is a flexibility increasing on detected pattern. Moreover, we can found some pattern, that not easy to observe by expert person.

Keywords

finite state machines; fuzzy set theory; investment; pattern recognition; pricing; FSM-FT; computer programming; entry-exit point; finite state machine with fuzzy transitions; fuzzy transitions; investment technical analysis; market price direction; price pattern detection; Automata; Forecasting; Hidden Markov models; Magnetic heads; Market research; Pragmatics; Standards; FSM-FT; Investment decision system; finite state machine with fuzzy transition; pattern detection; price pattern;

fLanguage

English

Publisher

ieee

Conference_Titel

e-Business Engineering (ICEBE), 2014 IEEE 11th International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-1-4799-6562-5

Type

conf

DOI

10.1109/ICEBE.2014.31

Filename

6982069