This paper is, to my knowledge, one of the first ever to examine the effectiveness of price momentum trading strategies applied to cryptocurrencies. Using aggregate OHLCV (Open, High, Low, Close, Volume) data on cryptocurrency pairs from Poloniex, Bittrex, and Bitfinex, I apply Jegadeesh and Titman’s classic -month/-month momentum trading strategy, reporting annual returns with and without incorporating trading fees. Portfolios are resampled daily, weekly, and monthly, testing lookback and holding periods ranging from one day to one year. The results show that trading cryptocurrencies using momentum strategies derives returns that rapidly increase the more often portfolios are resampled, with the exception of weekly portfolios. However, after incorporating trading fees, returns between high and low frequency portfolios become more comparable, though daily strategies still bring the highest fee-adjusted returns at about 10% annually. This paper adds to the very limited research on momentum factors within the cryptocurrency market.

Why are the US and China regulating cryptocurrency? This paper first uses linear regression to model the relationship between the US dollar and Bitcoin, and separately, the Chinese Renminbi and Bitcoin. Next, legal text is analyzed to make the comparative case for the United States' and China's legal responses to new advances in cryptocurrency, and how it shows threats to the traditional definition and control of currency.

The main objective of this diploma thesis is to find out the potential of digital currencies to replace contemporary fiat currency. Specifically, the thesis is focused on cryptocurrency Bitcoin, which currently has the highest market value. The thesis is divided into three main chapters. The first one focuses on money itself and its function, not only today but also throughout the history. Second chapter explains substance and functioning of Bitcoin, as well as its role in the current monetary system. Likewise the question of regulatory measures and competition of altcoins is being examined. Final part analyses the future of digital currencies and it compares pros and cons of Bitcoin and money we use today. Furthermore, it is discussed whether Bitcoin is the next bubble in the financial market. In the end, main problems which Bitcoin and other cryptocurrencies deal with are mentioned and a possible future development is outlined.

In “web-based scams”, scam websites provide fraudulent business or fake services to steal money and sensitive information from unsuspecting victims. Despite the researchers’ efforts to develop anti-scam detection techniques, the scams continue to evolve and cause online threats. State-of-the-art anti-scam research still faces several challenges, such as automatically acquiring a labeled scam dataset and providing early detection and prevention mechanisms to attacks that use cryptocurrency as a payment medium. In this thesis, we implement a data-driven model to detect and track web-based scams with a web presence. Given a few scam samples, our model formulates scam-related search queries and uses them on multiple search engines to collect data about the websites to which victims are directed when they search online for sites that may be related to the scam. After collecting a sufficient corpus of web pages, our model semi-automatically clusters the search results and creates a labeled training dataset with minimal human interaction. Our model proactively looks for scam pages and monitors their evolution over time rather than waiting for the scam to be reported. Whenever a new scam instance is detected, the model sends it automatically to the eCrime eXchange data warehouse in real-time. We have used the model to investigate and gain knowledge on two scams; the “Game Hack” Scam (GHS) and the “Bitcoin Generator Scam” (BGS). To the best of our knowledge, GHS and BGS have not been well studied so far, and this is the first systematic study of both scams. GHS targets game players, in which the attackers attempt to convince victims that they will be provided with free in-game advantages for their favorite game. Before claiming these advantages, the victims are supposed to complete one or more tasks, such as filling out “market research” forms and installing suspicious executable files on their machines. Over a year of crawling, we uncovered more than 5,900 unique domains. We estimate that these domains have been accessed at least 150 million times from 2014 until 2019. BGS is a simple system in which the scammers promise to “generate” new bitcoins using the ones sent to them. BGS is not a very sophisticated attack; the modus operandi is to put up some web page that contains the address to send the money and wait for the payback. Over 21 months of crawling, we found more than 3,000 addresses directly associated with the scam, hosted on over 1,200 domains. Overall, these addresses have received (at least) over 9.6 million USD. Our analysis showed that a small group of scammers controls the majority of the received funds. The top two groups have received around 6 million USD, which is more than half of the total funds received by the scam addresses.

The diploma thesis deals with the application of fuzzy logic and advanced decision-making methods for designing a model that can be used in the management of risks related to investment assets (cryptocurrencies) selecting. For a model creation there will be mainly used Fuzzy Logic Toolbox of MATLAB programming environment.

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.

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.

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.

The aim of this thesis is to create a concept of semi-centralized cryptocurrency that supports external interoperability. It is assumed that semi-centralized cryptocurrency is the future of cryptocurrencies in the banking sector, because even at the cost of partial centralization, the concept brings the benefits of a decentralized ledger. Since the simultaneous deployment of their own cryptocurrencies by various central authorities, such as central bank, it is necessary to establish a communication protocol for interbank transactions. The work is thus focused on extending the existing Aquareum solution with an interoperability protocol.

This student paper discusses principals of data collecting and subsequent analysis of data on digital currency exchanges followed by proposition and full implementation of research oriented system capable of solving all relevant tasks and presenting a way for implementing solutions for broad spectrum of related problems.