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Company Culture of m&m Arts
Moravec, Michal ; Holubář, Jiří (referee) ; Mráček, Pavel (advisor)
The master´s thesis analyses company culture of m&m Arts which effects on e-market and application of the latest trends in image, psychology, communication and so one. The object of this business work is modern conception of company culture which bring much more comfort for all customers and improve relations between customers and company. The product of this work is more new customers and company visibility.
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Proposal for an Automatic Trading System for Foreign Exchange Market
Kolář, Jan ; Stoklásek, Libor (referee) ; Budík, Jan (advisor)
The thesis deals with designing an automated trading system, especially for intra-day trading the currency markets. The aim is to create a comprehensive theoretical background, practical work knowledge can be used to develop appropriate automated trading system. The thesis is an emphasis on technical and partly a psychological analysis of currency markets. Designed system will be suitably optimized to maximize profits and stability of applications on the most liquid currency pairs.
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Proposal of Software Improvement Support for a Trading Strategy in Commodity Markets
Levek, Petr ; Kotlík,, Josef (referee) ; Škapa, Stanislav (advisor)
The Bachelor work is focused on proposals to improve software support and the efficiency of investment in commodity exchanges worldwide. The aim is to propose software improvements for selected software used for trading. Improvements will be made on the basis of analysis and comparison, the currently commonly used traders software for trading on world stock exchanges, with a focus on finding and proposing modules that improve the strategies used during trading. Based on the introduction and the use of these improved modules, that are currently not available, will increase efficiency of work for traders and reduce potential risks of investments used.
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Prediction of Prices in Stock Exchange Trading
Mikulenčák, Roman ; Szőke, Igor (referee) ; Černocký, Jan (advisor)
The work deals with an automatic trading system and adaptive training. Is used both technical and automatic fundamental analyses, therefore as inputs to the neural network is used historical data exchanges and text data from reports. It explains the basics of trading, technical analysis and technical terms. The work deals with technical and fundamental analysis. It contains a description of algorithmic nature, program implementation and experiment with developed trading system. The selected strategy is compared to other approaches.
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Machine Learning Strategies in Electronic Trading
Huf, Petr ; Kolář, Martin (referee) ; Černocký, Jan (advisor)
Úspěšné obchodování na trzích je snem mnoha lidí. Zajímavým odvětvím tohoto byznysu je elektronické obchodování, kde obchodní strategie běží na počítači bez jakéhokoliv zásahu člověka. Tento způsob obchodování poskytuje spoustu volného času a vysoké příjmy. Tato práce je zaměřena na využití neuronových sítí při stavbě takovéto obchodní strategie. Jako základ byla použita již existující rekurentní neuronová síť, která byla postupně modifikována podle potřeb pro obchodování. Výsledkem je neuronová síť předpovídající budoucí pohyby trhu. Obchodní strategie používající tuto neuronovou síť dokáže na burze úspěšně obchodovat.
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Usage of Public Business Information for Automatic Trading
Gráca, Martin ; Plchot, Oldřich (referee) ; Černocký, Jan (advisor)
In the era of modern technology and high performance computers, the classical trades model getting insufficient. For successful trading, generating stable profit, it is good to use modern technologies and opportunities. The main goal of this work is to develop a trading system based on modern technologies. This work uses public business data from Edgar database managed by U.S. Securities and Exchange Commission (SEC), historical share´s prices and recurrent neural network to create such model. The final system is able to trade successfully and generate profit.
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Cryptocurrencies and Their Trading Options
Kubík, Lubomír ; Dušková, Monika (referee) ; Luhan, Jan (advisor)
The bachelor thesis focuses on the development and formation of cryptocurrencies especially the most common cryptocurrency Bitcoin. It describes the principles of blockchain and decentralized currencies. It focuses on the comparison of individual kinds of cryptocurrencies which are compared from several points of view, such as their origin, the principle of their functioning and value. Furthermore the possibilities of acquiring and trading cryptocurrencies are analyzed and compared. These options include extraction, purchase through digital currency exchange and exchange trading. Individual solutions are compared in terms of their convenience for a particular user.
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Forex automated trading system based on neural networks
Kačer, Petr ; Honzík, Petr (referee) ; Jirsík, Václav (advisor)
Main goal of this thesis is to create forex automated trading system with possibility to add trading strategies as modules and implementation of trading strategy module based on neural networks. Created trading system is composed of client part for MetaTrader 4 trading platform and server GUI application. Trading strategy modules are implemented as dynamic libraries. Proposed trading strategy uses multilayer neural networks for prediction of direction of 45 minute moving average of close prices in one hour time horizon. Neural networks were able to find relationship between inputs and output and predict drop or growth with success rate higher than 50%. In live demo trading, strategy displayed itself as profitable for currency pair EUR/USD, but it was losing for currency pair GBP/USD. In tests with historical data from year 2014, strategy was profitable for currency pair EUR/USD in case of trading in direction of long-term trend. In case of trading against direction of trend for pair EUR/USD and in case of trading in direction and against direction of trend for pair GBP/USD, strategy was losing.
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