GUPEA >
Student essays / Studentuppsatser >
Department of Informatics / Institutionen för informatik (-2005) >
D-uppsatser >

Enhancing Trading with Technology -A Neural Network-Expert System Hybrid Approach-


Please use this identifier to cite or link to this item: http://hdl.handle.net/2077/1057

Files in This Item:

File Description SizeFormat
Nr29_DL.pdf384KbAdobe PDF
View/Open
Title: Enhancing Trading with Technology -A Neural Network-Expert System Hybrid Approach-
Authors: Liljeblad, Daniel
Issue Date: 2003
University: Göteborg University. School of Business, Economics and Law
Extent: 45 pages
393295 bytes
Degree: Student essay
Keywords: Artificial Intelligence; Expert System; Hybrid System; Neural Network; Technical Analysis; Trading;
Abstract: The identification of specific patterns in stock price derived from technical stock analysis heuristics, which after occurring resulted in a predefined price movement, was the subject of this research effort. The motive was to enhance the profitability of an investment method based on such patterns. To identify the specific patterns resulting in the predefined price movement, artificial neural networks were used. A theoretical model for combining an expert system, filled with knowledge from... more
URI: http://hdl.handle.net/2077/1057
Appears in Collections:D-uppsatser

This item has been viewed 227 times.

 

 

© Göteborgs universitet 2011