Optimization of buying and selling currency pair EUR/USD with using of genetic algorithms as the key to increasing the profitability of the investment strategy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F13%3APU105381" target="_blank" >RIV/00216305:26510/13:PU105381 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
čeština
Original language name
Optimalizace nákupu a prodeje měnového páru EUR/USD pomocí genetických algoritmů jako klíč ke zvyšování ziskovosti investiční strategie
Original language description
The aim of this paper is to show the possibility of increasing the profitability of selected investment strategy, which is used for trading currency pair EUR/USD. Model strategy is based on the assumption of continuing the trend yesterday, and only workswith the days when the price rose.
Czech name
Optimalizace nákupu a prodeje měnového páru EUR/USD pomocí genetických algoritmů jako klíč ke zvyšování ziskovosti investiční strategie
Czech description
The aim of this paper is to show the possibility of increasing the profitability of selected investment strategy, which is used for trading currency pair EUR/USD. Model strategy is based on the assumption of continuing the trend yesterday, and only workswith the days when the price rose.
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AH - Economics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
TRENDY EKONOMIKY A MANAGEMENTU
ISSN
1802-8527
e-ISSN
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Volume of the periodical
7
Issue of the periodical within the volume
15
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
8
Pages from-to
18-26
UT code for WoS article
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EID of the result in the Scopus database
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