A novel technical analysis-based method for stock market forecasting

Owing to the dynamic changes of the stock market and numerous influences on stock prices, assessing stock prices has become increasingly difficult. Furthermore, when dealing with information on stocks, people tend to amplify the importance of available and self-correlative information, a habit that...

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Bibliographic Details
Published inSoft computing (Berlin, Germany) Vol. 22; no. 4; pp. 1295 - 1312
Main Authors Chen, Yuh-Jen, Chen, Yuh-Min, Tsao, Shiang-Ting, Hsieh, Shu-Fan
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2018
Springer Nature B.V
Subjects
Algorithms
Artificial Intelligence
Classification
Computational Intelligence
Control
Decision making
Design
Engineering
Forecasting
Investments
Investors
Mathematical Logic and Foundations
Mechatronics
Methodologies and Application
Neural networks
Profitability
Rates of return
Robotics
Securities markets
Stock exchanges
Stock prices
Trends
Volatility
Taiwan
Technical analysis
Support vector machine
Stock market forecasting
Particle swarm optimization
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Summary:Owing to the dynamic changes of the stock market and numerous influences on stock prices, assessing stock prices has become increasingly difficult. Furthermore, when dealing with information on stocks, people tend to amplify the importance of available and self-correlative information, a habit that runs contrary to objective and reasonable investment decision-making. Therefore, how to use effective stock information to assist investors in making stock investment decisions is a major topic in stock investment. This study develops a novel technical analysis method for stock market forecasting to effectively promote forecasting accuracy, which can help investors to increase their decision support quality and profitability. Specifically, this study involves the following tasks: (1) design a technical analysis-based stock market forecasting process, (2) develop techniques related to technical analysis-based stock market forecasting, and (3) demonstrate and evaluate the developed technical analysis-based method for stock market forecasting. In developing techniques associated with the technical analysis-based stock market forecasting method, the techniques involve trend-based stock classification, adaptive stock market indicator selection, and stock market trading signal forecasting.
ISSN:1432-7643
1433-7479
DOI:10.1007/s00500-016-2417-2