Search for optimization of a real-time neural trading system
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F20%3AA0000693" target="_blank" >RIV/47813059:19240/20:A0000693 - isvavai.cz</a>
Result on the web
<a href="http://ceur-ws.org/Vol-2718/paper27.pdf" target="_blank" >http://ceur-ws.org/Vol-2718/paper27.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Search for optimization of a real-time neural trading system
Original language description
We describe the development of a complex modular system that should be able to predict the movement of the currency market (FOREX) using real-time neural networks and then automatically issue instructions for buying or selling individual currencies. To access the currency market, we use the free MetaTrader 5 application, which is linked to the Thisifi Trading Terminal (TTT) application that we created. TTT first reads the data needed for network training and then selects the training sets. The samples serve as input for training the neural network. Once the network is trained, the user can switch to online mode, where the network responds in real time to a change in the currency market and passes to MetaTrader instructions for the transaction.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 20th Conference Information Technologies - Applications and Theory (ITAT 2020)
ISBN
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ISSN
1613-0073
e-ISSN
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Number of pages
9
Pages from-to
230-238
Publisher name
CEUR Workshop Proceedings
Place of publication
Slovensko
Event location
Oravská Lesná, Slovakia
Event date
Jan 1, 2020
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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