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Details van artikel 29 van 103 gevonden artikelen
| Titel: |
Deriving Trading Rules Using Gene Expression Programming |
| Auteur: |
Adrian VISOIU |
| Verschenen in: |
Informatica economica |
| Paginering: | Jaargang 15 (2011) nr. 1 pagina's 22-30 |
| Jaar: |
2011 |
| Inhoud: |
This paper presents how buy and sell trading rules are generated using gene expression programming with special setup. Market concepts are presented and market analysis is discussed with emphasis on technical analysis and quantitative methods. The use of genetic algorithms in deriving trading rules is presented. Gene expression programming is applied in a form where multiple types of operators and operands are used. This gives birth to multiple gene contexts and references between genes in order to keep the linear structure of the gene expression programming chromosome. The setup of multiple gene contexts is presented. The case study shows how to use the proposed gene setup to derive trading rules encoded by Boolean expressions, using a dataset with the reference exchange rates between the Euro and the Romanian leu. The conclusions highlight the positive results obtained in deriving useful trading rules. |
| Uitgever: |
Inforec Association (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 29 van 103 gevonden artikelen
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