Search for optimization of a real-time neural trading system

@inproceedings{44444,
   author = {Pobucký, Michal},
   address = {Slovensko},
   booktitle = {Proceedings of the 20th Conference Information Technologies - Applications and Theory (ITAT 2020)},
   edition = {2718},
   editor = {Holeňa, Martin; Horváth, Tomáš; Kelemenová, Alica; Mráz, František; Pardubská, Dana; Plátek, Martin; Sosík, Petr},
   keywords = {Neural networks; Financial markets; Commerce; Modular system; Trading system},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Slovensko},
   pages = {230-238},
   publisher = {CEUR Workshop Proceedings},
   title = {Search for optimization of a real-time neural trading system},
   url = {http://ceur-ws.org/Vol-2718/paper27.pdf},
   year = {2020}
}

TY  - JOUR
ID  - 44444
AU  - Pobucký, Michal
PY  - 2020
TI  - Search for optimization of a real-time neural trading system
PB  - CEUR Workshop Proceedings
CY  - Slovensko
KW  - Neural networks
KW  - Financial markets
KW  - Commerce
KW  - Modular system
KW  - Trading system
UR  - http://ceur-ws.org/Vol-2718/paper27.pdf
L2  - http://ceur-ws.org/Vol-2718/paper27.pdf
N2  - 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.
ER  - 

POBUCKÝ, Michal. Search for optimization of a real-time neural trading system. Online. In Holeňa, Martin; Horváth, Tomáš; Kelemenová, Alica; Mráz, František; Pardubská, Dana; Plátek, Martin; Sosík, Petr. \textit{Proceedings of the 20th Conference Information Technologies - Applications and Theory (ITAT 2020)}. 2718th ed. Slovensko: CEUR Workshop Proceedings, 2020, p.~230-238. ISSN~1613-0073.