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Automatic Cryptocurrencies Trading
Vorobiev, Nikolaj ; Hrubý, Martin (referee) ; Rozman, Jaroslav (advisor)
This thesis focuses on the trading in the cryptocurrency market. The theoretical part of the thesis describes the principles of trading, technical analysis, trading systems and recurrent neural networks. After conducting a search of brokers, Binance is chosen as a trading broker and real-time data provider; CryptoDataDownload is chosen as a historical data provider. After getting acquainted with the technologies used, elements of information trading systems are designed, enabling communication with remote servers and with each other, for the purpose of trading, obtaining and concurrent processing of user's, historical or real-time data. The resulting systems should provide to the user manual, semi-automatic (according to the plan) or automatic (according to the decisions of recurrent neural network, learned on historical data) trading and ability to respond to a change in the market. Furthermore, the thesis moves to the practical level, including implementation and experiments on created systems. In the final part of the thesis, the results are evaluated and the possibilities for improvement and expansion are described.
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Extending Functionality of European Project Portal
Vorobiev, Nikolaj ; Doležal, Jan (referee) ; Smrž, Pavel (advisor)
This thesis is based on 2 previous theses, complements and expands the last of them. The primary objective is to take existing source files, study, modify and use them for the purpose of running and updating the system. It is a necessary intermediate step, which the previous thesis solved partly. The secondary objective is to expand the system focused on improving the navigation, creating relations between the similar existing system entities, metasearching for relevant resources according to user requirements, extracting and storing new unique information about entities in the system, which is not provided by the current source. The result of the thesis is a running system, filled with fresh data, prepared and improved for system users. The source code of the system is refactored, became more readable and is ready to be extended. The metasearch engine is created, in modern Perl 5. The source code of the engine is portable and scalable, which allows easy integration into other systems.
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Automatic Cryptocurrencies Trading
Vorobiev, Nikolaj ; Hrubý, Martin (referee) ; Rozman, Jaroslav (advisor)
This thesis focuses on the trading in the cryptocurrency market. The theoretical part of the thesis describes the principles of trading, technical analysis, trading systems and recurrent neural networks. After conducting a search of brokers, Binance is chosen as a trading broker and real-time data provider; CryptoDataDownload is chosen as a historical data provider. After getting acquainted with the technologies used, elements of information trading systems are designed, enabling communication with remote servers and with each other, for the purpose of trading, obtaining and concurrent processing of user's, historical or real-time data. The resulting systems should provide to the user manual, semi-automatic (according to the plan) or automatic (according to the decisions of recurrent neural network, learned on historical data) trading and ability to respond to a change in the market. Furthermore, the thesis moves to the practical level, including implementation and experiments on created systems. In the final part of the thesis, the results are evaluated and the possibilities for improvement and expansion are described.
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|
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Extending Functionality of European Project Portal
Vorobiev, Nikolaj ; Doležal, Jan (referee) ; Smrž, Pavel (advisor)
This thesis is based on 2 previous theses, complements and expands the last of them. The primary objective is to take existing source files, study, modify and use them for the purpose of running and updating the system. It is a necessary intermediate step, which the previous thesis solved partly. The secondary objective is to expand the system focused on improving the navigation, creating relations between the similar existing system entities, metasearching for relevant resources according to user requirements, extracting and storing new unique information about entities in the system, which is not provided by the current source. The result of the thesis is a running system, filled with fresh data, prepared and improved for system users. The source code of the system is refactored, became more readable and is ready to be extended. The metasearch engine is created, in modern Perl 5. The source code of the engine is portable and scalable, which allows easy integration into other systems.
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