National Repository of Grey Literature 54 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
Deanonymization Heuristics for Cryptocurrencies
Anton, Matyáš ; Grégr, Matěj (referee) ; Veselý, Vladimír (advisor)
The cryptocurrencies are growing more and more popular, both due to their independency on institutions and the feeling of anonymity they provide. This is, however, also accompanied by an increasing number of their abuse for criminal activities. This thesis explores the principles of current cryptocurrencies as well as techniques used for increasing anonymity of their usage. Based on the findings, it proposes a solution attemping to deanonymise activity in select cryptocurrencies.
Cryptocurrency Wallets
Mařík, Tomáš ; Budík, Jan (referee) ; Luhan, Jan (advisor)
The aim of the thesis is to assess investment and technological potential cryptocurrencies on the basis of their technical, economic and legal analysis. The work deals cryptocurrencies, analysis and wallet selection.
Adaptive Trading Strategies for Cryptocurrencies
Filip, Marek ; Perešíni, Martin (referee) ; Homoliak, Ivan (advisor)
Obchodní strategie pro kryptoměny bývají založeny na padajícím nebo stoupajícím trhu. Kámen úrazu nastává, když jsou aplikovány na špatný trend v tak nestabilním trhu, jako je ten s kryptoměnami. Tato práce se zabývá možností adaptivních obchodních strategií, které se dokáží přizpůsobit na klesající a stoupající trendy v kryptoměnovém trhu. Analyzováním ceny Bitcoinu a vytvořením metriky risku, kde se díváme na extrémy vytvořené funkce, můžeme dojít k řešení návrhu adaptivních strategií. Zkoumají se jak dlouhodobé, tak krátkodobé možnosti investování. K vyhodnocování strategií a vykreslování časových řad je vytvořen rozšířitelný program pro testování historických dat. Výsledky jsou porovnány s tradičními přístupy, jako je HODL a rebalancování, přičemž bylo zjištěno, že při použití správných kritérií se mohou více než ztrojnásobit. Práce nabízí investorům nové způsoby zisků a zároveň dává čtenářům možnost nahlédnout do tvorby (adaptivních) strategií a jejich zpětného testování v kódu. Předpokládá se, že výsledky práce budou využívány automatizovanými obchodními systémy.
Algorithmic Trading Using Artificial Neural Networks
Poláček, Samuel ; Beneš, Karel (referee) ; Szőke, Igor (advisor)
Algorithmic trading of many kinds of assets is not a new field at all. Domain of neural networks provides many tools, which are usefull in this field. This bachelor thesis discusses cryptocurrency trading algorithms using artificial neural network. In theoretical section of this thesis the basic theory and terms the stock market trading is based on is discussed. After the basic idea of cryptocurrencies is defined and used technical tools are introduced, the practical section starts. Sufficient configuration of neural network topology and hyperparameters values are obtained by many experiments. Subsequently after many experiments with indicators of technical analysis, acceptable neural network input configuration is obtained. Created neural network model combined with defined trading strategy generates profit.
Forensic Analysis of Cryptocurrency Mining Servers
Kelečéni, Jakub ; Grégr, Matěj (referee) ; Veselý, Vladimír (advisor)
This thesis focuses on the mining of cryptocurrency with emphasis on analysis of communication between miner and server. It describes basic principles of cryptocurrencies, mining and employed communication protocols. The next part of thesis is about design and implement modification of existing system (catalogue). This modification will add temporality to the catalog, what increase reliability of stored metadata. Description, functionality and purpose of existing system is included in the next text.
Identification of Cryptocurrency Users
Zrnčík, Henrich ; Matoušek, Petr (referee) ; Veselý, Vladimír (advisor)
abstract.en={The 3rd January 2009 is considered to be the beginning of the cryptocurrency era. This work will deal with one of the ways of obtaining information about cryptocurrency users. It will be done by retrieving it from public websites where users often knowingly or unknowingly publish their cryptocurrency's address for different purposes (donation accounts or online payments which include personal data) as a result of which it is possible to link their crypto account with their real identity. The information is obtained through web scrappings. The result is an implemented application capable of automated collecting of data about the identity of cryptocurrency users and its subsequent storage in a structured database.
Activity Alarm for Cryptocurrency Blockchains
Vokráčko, Lukáš ; Grégr, Matěj (referee) ; Veselý, Vladimír (advisor)
Cryptocurrencies are becoming popular and the demand for monitoring transactions inside them increases alongside with it. In this thesis, I describe few of the most widespread cryptocurrencies built on top of a blockchain and how to obtain information of their transactions in order to raise alarms. I discuss existing solutions and describe application Cryptoalarm designed for monitoring transactions involving specific addresses in order to raise alarms. Cryptoalarm scans blockchains of cryptocurrencies such as Bitcoin, Bitcoin Cash, Litecoin, Zcash, Dash, Ethereum and raises alarms about address activities in real-time.
Cryptocurrencies
Šindelářová, Anna ; Haupt, Jaromír (referee) ; Smutný, Milan (advisor)
Tato bakalářská práce se zaměřuje na téma Kryptoměny. Práce se zabývá vznikem a vývojem kryptoměn, jejich využitím a popisem jejich základních principů fungování. Více podrobně jsou v této práci popsány 3 vybrané kryptoměny – Bitcoin, Ethereum a Monero. Cílem této práce je provést porovnání těchto vybraných kryptoměn, které je popsáno v poslední kapitole.
Automated Trading on Cryptocurrency Exchanges
Křesťan, Zdeněk ; Zbořil, František (referee) ; Kočí, Radek (advisor)
This thesis focuses on automated trading on cryptocurrency exchanges. Cryptos are now widespread. The possibility of hier automated buying and selling is an interesting topic, which is more and more mentioned. The main part of the thesis is the design of an algorithm for processing data from stock exchanges, their evaluation and subsequent execution of cryptocurrency trades. It also describes its implementation, testing and possible further extensions.
Cryptocurrencies Blockchain Analysis
Očenáš, Martin ; Grégr, Matěj (referee) ; Veselý, Vladimír (advisor)
This thesis describes important existing cryptocurrencies and their basis principles. Especially it describes differences between this cryptocurrencies and theid basis principles. Also describes posibilites for analysis of Bitcoin blockchain. Next part describes improvments of tool for blockchain analysis. Futher it describes cryptocurrency analyzing tool, and it's implemented extensions.

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