Applying Artificial Neural Network And Trading Strategies In The Taiwan Stock Market
碩士 === 華梵大學 === 資訊管理學系碩士班 === 100 === In this study, used the recurrent neural network(Elman Recurrent Neural Network) and the back-propagation neural Network (Back-Propagation Neural Network, BPN) to build the model, the Taiwan Securities Exchange(TWSE) cooperation with the Financial Times and...
Main Authors: | Lo, Ken-Chih, 羅亘志 |
---|---|
Other Authors: | Yeou-Ren Shiue |
Format: | Others |
Language: | zh-TW |
Published: |
2012
|
Online Access: | http://ndltd.ncl.edu.tw/handle/34263270783788256369 |
Similar Items
-
Applying the Artificial Intelligence Neural Network Algorithm for Constructing Stock Investment Strategy
by: LO, KUEI-CHIU, et al.
Published: (2019) -
Pairs trading strategy applied in Taiwan stock market
by: Chi-Sheng Lin, et al.
Published: (2004) -
An Artificial Intelligent Trading Support System For Taiwan Stock Market---Using Neural Network Based On Trading Analysis
by: Duh, Shyh-Chorng, et al.
Published: (1998) -
Predicting Tendency of Stock Market: Applying Artificial Neural Network and Chinese News Classification Techniques to Taiwan Stock Market
by: Kun-Po Chuang, et al.
Published: (2002) -
Artificial Neural Network Based Option Trading Strategy:Evidence from Taiwan Stock Index Option
by: Wei-yi Chang, et al.
Published: (2009)