National Repository of Grey Literature 133 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
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.
Investment Environment in the Virtual Real Cash Economy
Lehnert, Filip ; Hlavinka, Roman (referee) ; Budík, Jan (advisor)
The subject of this thesis is to introduce the reader to the issue of possible financial investment in the virtual economy with real funds and design strategies to maximize the initial capital appreciation. The introduction describes the analysis of virtual PED currency, the economy and the system of publicly traded shares. The main part is focused on presenting the results of practical traded investment based on fundamental analysis, speculation about the intrinsic value of the shares and evaluating applied strategies, including the benefits of work.
Algorithmic Trading Using Twitter Data
Kříž, Jakub ; Plchot, Oldřich (referee) ; Szőke, Igor (advisor)
This master's thesis describes creation of prediction system. This system predicts future market development based on stock exchange data and twitter messages analysis. Tweets from two different sources are analysed by mood dictionaries or via recurrent neural networks. This analysis results and technical analysis of stock exchange data results are used in multilayer neural network for prediction. A business strategy is created and tested based on results of this prediction. Design and implementation of prediction system is described in this thesis. This system achieved revenue increase more than 25 % of some business strategies by tweets analysis. However this improvement applies for certain data and timeframe.
Technical Analysis
Okruhľanský, Lukáš ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
The subject of my Master´s Thesis is the technical analysis. Teoretical part is about the approach of the theoretical issues, description of its individual methods, in the second part I'm concerned with the practical use of technical analysis in trading on the financial market and at the end of the thesis I will evaluate the effect of using the technical analysis in practice, in general also in the specific cases I investigated, I summarize its advantages and disadvantages.
AOS: Tool for Graph Analysis
Siebert, Martin ; Holkovič, Martin (referee) ; Trchalík, Roman (advisor)
This Bachelor's thesis is focused mainly on design and implementation of a tool, that analyses price graphs. One of the main requirements of the design is modifiability and maintainability of source code. This goal is achieved with the MVC architecture and by creating independent system components. The application takes care of collecting the data from the trading platform, performs the calculation based on the requirements and displays the information in the graph. For each module, the calculation is being done independently, whereas the modules can form multiple sequences of different lengths. In this Bachelor's thesis, there are five analytical modules implemented and two sample case studies created.
Algorithmics to Support Decision-making in Financial Markets
Kvapil, Juraj ; Budík, Jan (referee) ; Dostál, Petr (advisor)
The diploma thesis is focused on area of algorithmic trading. The main focus in this thesis is aimed towards algorithmic solution to arbitrage trading scheme. This system can be categorized as a high frequency trading system that can trade almost risk free in case that ideal technical conditions are met. Model in this thesis is backtested on cryptocurrency Bitcoin, the reason for that is balance between asset liquidity and amount of opportunities that occur on markets for this trading model. System can be used as well on other instruments that have similar characteristics. The main use case for this tool is to provide real time information for trader about occurring opportunities. Used software core has also ability to place automated trading orders based on results of analysis.
The Use of Artificial Intelligence on Financial Markets
Hortai, František ; Budík, Jan (referee) ; Dostál, Petr (advisor)
This thesis deals with the design of a model for trading on financial markets by using artificial intelligence. The work describes some methods of artificial intelligence, description of financial market and stock market trading. The result of this work is a model of an expert system which uses fuzzy logic for investing and a functional model for predicting the course of shares trends using artificial neural networks. Both models algorithms were designed and tested in MATLAB.
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.
Project of Internet Communication Compaigne
Petyrková, Kateřina ; Šindelář, Josef (referee) ; Dydowicz, Petr (advisor)
The topic of this thesis is the prosperity of an internet presentation of a small company and the company’s communication with its potential customers by means of the internet. It deals with various ways of advertising and the introdution of an online shop as an important business channel
Marketing of Electronic Business for a Builders Merchants
Kubín, Peter ; Janáček, Josef (referee) ; Dvořák, Jiří (advisor)
This material concerns to approaching the term marketing and to the application of knowledge about marketing and electronic commerce by the improvement of the electronic commerce in a company dealing with the building material.

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