Title :
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
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;
Conference_Titel :
e-Business Engineering (ICEBE), 2014 IEEE 11th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4799-6562-5
DOI :
10.1109/ICEBE.2014.31
