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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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Business Directive for Cryptocurrency Operations
Kyncl, Kryštof ; Ptáček, Roman (referee) ; Pěta, Jan (advisor)
This bachelor thesis deals with accounting and tax issues of cryptocurrency operations. It further explains and clarifies the operation and properties of cryptocurrencies. The work focuses on the analysis of the problems of the current situation, valuation and registration of cryptocurrencies in accounting, but also the payment of value added tax or income tax and more. This work then tries to demonstrate the findings on model examples of cryptocurrency operations, including recommendations in the areas of accounting and taxation.
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Detection of Cryptocurrency Miners Based on IP Flow Analysis
Šabík, Erik ; Krobot, Pavel (referee) ; Žádník, Martin (advisor)
This master’s thesis describes the general information about cryptocurrencies, what principles are used in the process of creation of new coins and why mining cryptocurrencies can be malicious. Further, it discusses what is an IP flow, and how to monitor networks by monitoring network traffic using IP flows. It describes the Nemea framework that is used to build comprehensive system for detecting malicious traffic. It explains how the network data with communications of the cryptocurrencies mining process were obtained and then provides an analysis of this data. Based on this analysis a proposal is created for methods capable of detecting mining cryptocurrencies by using IP flows records. Finally, proposed detection method was evaluated on various networks and the results are further described.
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Risk Analysis of Selected Cryptocurrencies in Personal Finance
Strouhal, Tomáš ; Stroukal,, Dominik (referee) ; Karpíšek, Zdeněk (advisor)
This diploma thesis deals with cryptocurrency’s risk regarding other investment opportunities, such as funds. The aim of the work is to present a simple indicator of risk and reward in order to place cryptocurrencies in the context of other investments. First, selected cryptocurrencies are described, then their characteristics are compared with the funds. Synthetic risk and reward indicator is used as a tool to compare risk and reward of cryptocurrencies with the funds. This indicator is modified to match the cryptocurrency’s characteristics and still have a narrative value. After this modification, it is used to calculate the risk and reward of the S&P 500, Allianz Global Artificial Intelligence, Binance Coin, Bitcoin, Cardano, Ethereum, Solana, Tether, USD Coin and XRP. The results show that the original range of the indicator is insufficient given the higher volatility of cryptocurrencies, which it is unable to reflect. Conversely, the adjusted indicator is already very good at calculating with higher volatility in cryptocurrencies and assigning them to a higher risk class.
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Automated Investment Strategy for Trading Selected Cryptocurrency
Melzrová, Anežka ; Budík, Jan (referee) ; Luhan, Jan (advisor)
This master's thesis deals with an automated investment strategy designed for the cryptocurrency market. The selected cryptocurrency is characterized and analyzed. Existing automated investment strategies are evaluated and then a custom automated investment strategy is proposed. All the strategies are tested on historical data of the selected cryptocurrency and their contribution is evaluated.
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Tax and Accounting Aspects of Cryptocurrency Operations
Novotný, Ladislav ; Pěta, Jan (referee) ; Svirák, Pavel (advisor)
This work deals with the characteristics of accounting and tax issues of cryptocurrency operations - cryptocurrencies. The work characterizes the properties and principles of cryptocurrency. It also describes in detail the legal, accounting and tax issues of cryptocurrencies and cryptocurrency operations. It focuses on the specifics of accounting issues such as cryptocurrency reporting, valuation and accounting records, specifics of value added tax, taxation of income from cryptocurrency operations and more. Based on the findings, the work defines the issue of cryptocurrencies and cryptocurrency operations, including reporting, and defines recommendations mainly in accounting and tax areas. Based on this, model examples of cryptocurrency operations are created.
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