Stock Investment with Gene Expression Programming
碩士 === 國立中山大學 === 資訊工程學系研究所 === 102 === In this thesis, we assume that history will repeat itself, so we could find out good trading strategies from the historical series and apply them in the future. The profitable strategies are trained out by the gene expression programming (GEP), which involves...
Main Authors: | Cheng-Han Lee, 李承翰 |
---|---|
Other Authors: | Chang-Biau Yang |
Format: | Others |
Language: | zh-TW |
Published: |
2014
|
Online Access: | http://ndltd.ncl.edu.tw/handle/18363710745249636771 |
Similar Items
-
The Influence of Demographic Structure among Stock Price, Saving Rate and Investment Rate in Taiwan
by: Cheng Han Juang, et al.
Published: (2005) -
A Study of the Dynamic Trading Strategies in Stock Market Based on Gene Expression Programming with Decision Tree
by: Wei, Cheng-Yu, et al.
Published: (2014) -
Portfolio Investment Based on Gene Expression Programming
by: Chan-Yi Chou, et al.
Published: (2016) -
Using Gene Expression Programming for Program Trading in Stock Market
by: Chih-Chiang Liao, et al.
Published: (2013) -
Integration of gene expression network to detect important disease-related genes and SNPs
by: Cheng-Han Hsieh, et al.
Published: (2014)