Abstract
This paper evaluates the use of an artificial neural network within a stockmarket trading strategy. The neural network was previously developed by the same authors, and has been trained using fundamental, company specific data. This study sites the neural network within a trading context, and demonstrates it is capable of producing economically significant results after accounting for costs.
Original language | English |
---|---|
Title of host publication | Proceedings of the IASTED International Conference on Computational Intelligence |
Editors | M H Hamza |
Place of Publication | Calgary |
Publisher | ACTA Press |
Pages | 62-67 |
Number of pages | 6 |
Publication status | Published - 2005 |
Event | IASTED International Conference on Computational Intelligence 2005 - Calgary, Canada Duration: 4 Jul 2005 → 6 Jul 2005 https://www.iasted.org/conferences/ |
Conference
Conference | IASTED International Conference on Computational Intelligence 2005 |
---|---|
Country/Territory | Canada |
City | Calgary |
Period | 4/07/05 → 6/07/05 |
Internet address |