摘要
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.
原文 | English |
---|---|
頁(從 - 到) | 1295-1312 |
頁數 | 18 |
期刊 | Soft Computing |
卷 | 22 |
發行號 | 4 |
DOIs | |
出版狀態 | Published - 2018 二月 1 |
指紋
All Science Journal Classification (ASJC) codes
- Software
- Theoretical Computer Science
- Geometry and Topology
引用此文
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A novel technical analysis-based method for stock market forecasting. / Chen, Yuh Jen; Chen, Yuh-Min; Tsao, Shiang Ting; Hsieh, Shu Fan.
於: Soft Computing, 卷 22, 編號 4, 01.02.2018, p. 1295-1312.研究成果: Article
TY - JOUR
T1 - A novel technical analysis-based method for stock market forecasting
AU - Chen, Yuh Jen
AU - Chen, Yuh-Min
AU - Tsao, Shiang Ting
AU - Hsieh, Shu Fan
PY - 2018/2/1
Y1 - 2018/2/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84994305484&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84994305484&partnerID=8YFLogxK
U2 - 10.1007/s00500-016-2417-2
DO - 10.1007/s00500-016-2417-2
M3 - Article
AN - SCOPUS:84994305484
VL - 22
SP - 1295
EP - 1312
JO - Soft Computing
JF - Soft Computing
SN - 1432-7643
IS - 4
ER -