DocumentCode :
3767620
Title :
An investigation into the recurring patterns of forex time series data
Author :
Yoke Leng Yong;Yunli Lee;David Ngo
Author_Institution :
Department of Computing & Information Systems, Sunway University, Selangor, Malaysia
fYear :
2015
Firstpage :
313
Lastpage :
317
Abstract :
Countless theories have been developed by both researchers and financial analyst in an attempt to explain the fluctuation of forex price. By obtaining an intimate understanding of the forex market, traders will hopefully be able to forecast and react to forex price oscillations on-the-fly towards making a profitable investment. In this paper, an investigation into the underlying theory that there exists repeating patterns within the time series data which forms the basis of technical analysis is conducted. The assumption that certain patterns do develop over time and the forex market does not fluctuate in a random manner is used to establish the fact that history repeats itself in forex trading. The patterns and repetitions unveiled within the forex historical data would be an important element for forex forecasting.
Keywords :
"Markov processes","Biological system modeling","Computational modeling","Robustness"
Publisher :
ieee
Conference_Titel :
Robotics and Intelligent Sensors (IRIS), 2015 IEEE International Symposium on
Type :
conf
DOI :
10.1109/IRIS.2015.7451631
Filename :
7451631
Link To Document :
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