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Human-machine collaboration - using haptic device
Kotrba, Tomáš ; Parák, Roman (referee) ; Juříček, Martin (advisor)
The bachelor's thesis focuses on the integration of the SpaceMouse Module haptic device with the collaborative robotic arm UR3 CB3 through the development of a software application in Python. The aim is to create software that enables smooth communication between these devices and implements methods for processing and filtering signals obtained from the SpaceMouse. The theoretical part includes the basics of collaborative robotics and haptic technologies, explaining their principles and describing the current state. The practical part details the process of integrating the UR3 cobot and the SpaceMouse haptic device. It presents the results of experiments in selecting a suitable filter for data filtering from the SpaceMouse.
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Automated trading systems
Šafář, Vítězslav ; Hříbek, David (referee) ; Rozman, Jaroslav (advisor)
Trading in the financial market is something almost everyone has heard of these days, but automated trading is still a novelty for most. The aim of this bachelor's thesis is to design and create several automatic trading systems using the application programming interface provided by XTB, and subsequently evaluate these automated trading systems using historical data. The thesis presents four differently complex automated trading systems, achieving various profits at certain risk levels. Furthermore, the thesis demonstrates the usability of the mentioned XTB application programming interface. The best-designed system evaluated was the one utilizing the MACD indicator,which achieved an average annual return of around 13.5 % with a level of risk of loss, approximately 39 %.
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Testing of Indicators for Technical Analysis in Stock Market Trading
Kaděra, Miroslav ; Hrubý, Martin (referee) ; Rozman, Jaroslav (advisor)
The topic of this thesis is testing of indicators for technical analysis, done from the point of view of their suitability for automatic stock market trading systems. The thesis tests behaviour of simple moving average, exponential moving average and the RSI indicator. A simple automatic trading system was made for each indicator. Profitability of the system was tested for various parameters of the used indicator. The testing was realized using real historical data of more than ten years historical period. The results show that profitability of the system can be increased by tens of percent. Even though for stable profitable trading the trader should work out a lot of other rules than just indicator parameters.
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Statistical analysis of data from routing problems
Mazlová, Lenka ; Popela, Pavel (referee) ; Šomplák, Radovan (advisor)
This bachelor thesis focuses on statistical analysis of data retrieved from real waste collection. The main goal is to become familiar with statistical hypothesis testing and model creating typical for mathematical statistics and to determine key parameters that affect routing problems. One of the outputs of this thesis is a Microsoft Excel file that contains statistical tests described in following text.
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Technical Analysis
Kratochvíl, Bohumír ; Dřímal, Dominik (referee) ; Novotná, Veronika (advisor)
Master´s thesis goal that the author hopes to achieve is a design of an application aiding stock technical analysis based on identified needs. Based on analysis regarding modules for technical analysis of current trading platforms, I found out there is a certain space for improvement. Implemented trading rules and technical indicators of the application itself are further examined in terms of prognostic success rate on historical data. Selected chapters of technical analysis are fundamental base for this master´s thesis.
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Design and Implementation of Automatic Trading System for Foriegn Exchange Market
Vojtěch, Tomáš ; Stoklásek, Libor (referee) ; Budík, Jan (advisor)
This diploma thesis deals with the design of a trading strategy and subsequent implementation of an automated trading system for the forex currency market. In this thesis, a "breakout" strategy with trade filtering based on moving average is created. Consequently, an automated trading system for the MetaTrader 4 platform is developed in MQL4 language. This thesis also deals with the back-testing and optimization of the system in order to maximize the stability and profit.
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Technical Analysis
Kubíková, Lenka ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
The bachelor's thesis deals with use of technical analysis to create the optimal portfolio of shares. There is primarily used the Capital Asset Pricing Model CAPM. In the first part of thesis there is stated the theoretical background which describes basic information about shares, capital market, technical analysis and CAPM model. The second part of thesis describes individual companies whose shares were chosen for analysis, and it focuses on the detection of buying and selling signals using moving averages. The last part of thesis applies of formation of optimal portfolio and description of application which attends to individual calculations.
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Design of Automated Trading System for Currency Market
Polanský, Jan ; Podhajský, Jaroslav (referee) ; Budík, Jan (advisor)
The master’s thesis deals with trading the currency market. The aim of thesis is the creation of an automated trading system based on technical analysis. This thesis is divided into several parts. The theoretical aspects and analysis of current situation are followed by automated trading system proposal. The system is designed on basis of technical indicators and tested on historical data and then optimized.
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Prediction of Time Series Using Statistical Methods
Beluský, Ondrej ; Bidlo, Michal (referee) ; Schwarz, Josef (advisor)
Many companies consider essential to obtain forecast of time series of uncertain variables that influence their decisions and actions. Marketing includes a number of decisions that depend on a reliable forecast. Forecasts are based directly or indirectly on the information derived from historical data. This data may include different patterns - such as trend, horizontal pattern, and cyclical or seasonal pattern. Most methods are based on the recognition of these patterns, their projection into the future and thus create a forecast. Other approaches such as neural networks are black boxes, which uses learning.
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