The thesis deals with the use of genetic algorithms in the process of creating automated trading systems. The emphasis is on testing the robustness of the developed strategies, their practical applicability in the financial markets and minimizing risk through diversification. The output of this work is a portfolio consisting of three strategies that achieved 31.3% return on capital during the fourth quarter of 2014.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:224903 |
| Date | January 2015 |
| Creators | Grega, Martin |
| Contributors | Doubravský, Karel, Budík, Jan |
| Publisher | Vysoké učení technické v Brně. Fakulta podnikatelská |
| Source Sets | Czech ETDs |
| Language | Slovak |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
Page generated in 0.0022 seconds