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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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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.
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Technical Analysis
Chocholáč, Adam ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
Part of this Master’s thesis is an analysis of chosen technical indicators for selected currency pairs and following by creation business strategy. It includes theoretical basis of technical analysis. Next part describes the design of application to support technical analysis. Conclusion of thesis contains single business strategies.
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Technical Analysis
Kalinová, Tereza ; Matulová, Nadežda (referee) ; Novotná, Veronika (advisor)
The thesis deals with technical analysis and introduction to the possibilities of its use in deciding to invest in the capital market. The theoretical part describes the theoretical background needed for the initial introduction to technical analysis and its indicators. In the practical part are gradually elaborated various indicators of technical analysis applied to the development of the shares of Intel Corporation and in the end there is the comparison of their profitability.
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Proposal of measures for company shares value appreciation
Nejezchleb, Kamil ; Nechvíla, Zdeněk (referee) ; Mandelík, Petr (advisor)
The Paper is focused on company shares value and manipulation with their course on capital market. Theoretical part describes Fundamentals and technical analysis, which are used for identifying share inner value a expected trend in course. Consequently are described forbidden market practices and transactions on capital market according to new legal regulation. Analytic part contains analysis, which identifies inner value of company shares and predicts trend in course. Following analysis are setting measures, which enables company management to realize appreciation of company shares, without making offend against legal regulations of securities course manipulation. Summary contains recommendations and findings, which can be generally used for improving companies positions on capital markets.
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Prediction of Values on a Time Line
Maršová, Eliška ; Bařina, David (referee) ; Zemčík, Pavel (advisor)
This work deals with the prediction of numerical series whose application is suitable for prediction of stock prices. They explain the procedures for analysis and works with price charts. Also explains the methods of machine learning. Knowledge is used to build a program that finds patterns in numerical series for estimation.
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Use Machine Learning to Predict Future Market Prices
Klhůfek, Michal ; Trchalík, Roman (referee) ; Holkovič, Martin (advisor)
This thesis discusses a market prediction system based on the data obtained from the historic tranzaction. The main goal was to use the techniques of technical analysis to create a more accurate estimation of market behavior in the future. The data obtained from the current state of the market are compared with the historical market values using the algorithms for the classification of data from the field of learning. Based on individual algorithms, the software was designed to try to match the two sets of data as closely as possible. Testing took place on a dataset that represented the past market enthusiasm, and how much the overall system is performing.
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