Title :
Enhancement of stock market forecasting using a technical analysis-based approach
Author_Institution :
Dept. of Accounting & Inf. Syst., Nat. Kaohsiung First Univ. of Sci. & Technol., Kaohsiung, Taiwan
Abstract :
This study develops a method for stock market forecasting using technical analysis to effectively promote forecasting accuracy, which can help investors to increase their decision-support quality and profitability. Specifically, this study involves the following tasks: (i) design a technical analysis-based stock market forecasting process, (ii) develop techniques related to technical analysis-based stock market forecasting, and (iii) demonstrate and evaluate the developed technical analysis-based method for stock market forecasting.
Keywords :
decision support systems; forecasting theory; profitability; stock markets; decision-support quality; profitability; technical analysis-based stock market forecasting process; Accuracy; Forecasting; Investment; Predictive models; Stock markets; Support vector machines; Training; Particle swarm optimization; Stock market forecasting; Support vector machine; Technical analysis;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-3278-8
DOI :
10.1109/ICSESS.2014.6933664
