Using Gene Expression Programming for Program Trading in Stock Market

Autor: Chih-Chiang Liao, 廖志強
Rok vydání: 2013
Druh dokumentu: 學位論文 ; thesis
Popis: 102
Most people in the stock market is very difficult to be profited, especially in the short-term operation case, is almost all by virtue of luck during gambling, however; there are many technical analysis fundamental analysis theory, to assist the general price forecast for judgment, In this study, the Taiwan Stock Exchange as the basis for data collection and analysis, using gene expression programming method for the nine technical indicators as well as the evolution of the K-line type and volume of transactions, to find the best trading signals to buy or sell offer projections.
Databáze: Networked Digital Library of Theses & Dissertations