National Repository of Grey Literature 175 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
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.
Optimization of Investment Strategy Using Genetic Algorithms
Novák, Tomáš ; Brázdil, Jiří (referee) ; Budík, Jan (advisor)
This thesis is focused on the design and optimization of automated trading system, which will be traded in FOREX. The aim is to create a business strategy that is relatively safe, stable and profitable. Optimization and testing on historical data are a prerequisite for the deployment into real trading.
The use of artificial intelligence in the capital markets to reduce the risks of trading
Orság, Štěpán ; Budík, Jan (referee) ; Dostál, Petr (advisor)
This thesis deals with the prediction of trading at financial markets and by using the prediction is trying to reduce the risks of entering at the market. The prediction has been work out by using of artificial intelligence. The artificial intelligence is in this thesis represented by neural networks witch model and predict market behavior. The thesis contains a description of the financial markets, exchange trading and its analysis, and artificial intelligence methods. The main part of this thesis is a model for prediction of prices of a particular instrument. This model was developed in MATLAB and should serve as a support for making business decisions. Its aim is to predict the direction and magnitude of movement the price level for the next trading day. The output of this model is processed using the platform MetaTrader 4. At the end are evaluated possible gains from this solution.
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.
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.
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.
Technical Analysis
Kosek, Lukáš ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
This thesis deals with problems of the technical analyses and its usage during creation of the automated trading systems. Theoretical section explains the basic principles of functioning of the monetary market (Forex) and includes technical indicators. Portfolio of strategies, as output of this work, was applied onto monetary pairs of Euro/American dollar and British pound/American dollar. Computer program Adaptrade Builder was used for proposed commercial strategies with help of the genetic algorithms and subsequently tested on the MetaTrader 4 commercial platform.
The Investment Models in an Environment of Financial Markets
Repka, Martin ; MSc, Martin Volko (referee) ; Budík, Jan (advisor)
This thesis focuses on automated trading systems for financial markets trading. It describes theoretical background of financial markets, different technical analysis approaches and theoretical knowledge about automated trading systems. The output of the present paper is a diversified portfolio comprising four different investment models aimed to trading futures contracts of cocoa and gold. The portfolio tested on market data from the first quarter 2013 achieved 46.74% increase on the initial equity. The systems have been designed in Adaptrade Builder software using genetic algorithms and subsequently tested in the MetaTrader trading platform. They have been finally optimized using sensitivity analysis.
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.
External Financing of Firms Through the Securities
Kembický, Petr ; Voda, Miroslav (referee) ; Rejnuš, Oldřich (advisor)
This Master’s thesis deals with the analysis of long-term corporate financing. Described is financing through the capital market securities – by shares and bonds as well as bank loan. The first part compares the theoretical possibilities of external financing, the second part is focused on the analyse of IPO and analysis of IPO which was realized in Czech republic by listed companies.

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