Universität Bielefeld Electronic Collections animiertes Foto Universität Bielefeld

Access to the Document

Intraday trading rules based on Self Organizing Maps

Resta, Marina

Download file

Working with five minutes data, we have studied a number of trading rules based on the responses of Kohonen's Self Organizing Maps, evaluating the results with both financial and statistical indicators, as well as by comparison with classical buy and hold strategy. At the current stage our major findings may be summarized as follows: a) Kohonen's maps are helpful to localize profitable intraday patterns, and b) they generally make possible to achieve higher performances than common buy and hold strategy.

Keywords: Self Organizing Maps, Intraday prices, Trading Rules
Institution: Faculty of Technology, Research Groups in Informatics
DDC classification: Data processing, computer science, computer systems

Suggested Citation:
Resta, Marina  (2007)  Intraday trading rules based on Self Organizing Maps.

URL: http://biecoll.ub.uni-bielefeld.de/volltexte/2007/140

 Questions or comments: publikationsdienste.ub@uni-bielefeld.de
 Latest update: 15 Feb 2011
 Legal Notice
OPUS-Logo     OAI compliant      BU Logo