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Design and Optimalization of Trading System Based on the Principles of Triple Screen
Kudláček, David ; Stoklásek, Libor (referee) ; Budík, Jan (advisor)
This diploma thesis deals with the Triple Screen trading system in the theoretical and practical level. As part of the work semiautomatic trading system, which focuses on trading with corn is designed. Previously, there are discussed theoretical assumptions necessary for the successful implementation of the trading system. There is explained and described deal with corn and principles and possibilities nowadays. The practical part includes the creation of custom application in Matlab development environment and scripting language. Using this application is simulated trading corn with selected trend indicators and oscillators. Using historical data there is found the best combination of indicators and it is subsequently applied on the following dates.
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Technical Analysis
Vetýška, Jan ; Svoboda, Filip (referee) ; Novotná, Veronika (advisor)
Aim of the thesis is the analysis and understanding of issues of technical analysis, namely Woodie CCI trading system. This trading system recognizes whether the market is at the moment oversold or overbought, which is also a draft program which calculates these values and giving us signals to trade. This trading system recognizes whether the market is oversold or overbought at the moment. It is also a draft program which calculates these values and giving us signals to trade. At the beginning it is necessary to give a theoretical viewpoint. There is also described the financial system and other important information.The next section describes the trading system, how it works and why I chose it. The following is the procedure for creating applications and basic knowledge of Visual Basic. Finally, I make a backtest where we will see how the system is in practice.
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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.
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Development of Automated Trading System for Commodity Markets
Hefka, Martin ; Andrle, Ondřej (referee) ; Budík, Jan (advisor)
This diploma thesis deals with theoretical and practical aspects of the commodity mar-ket. The automated trading system is designed and described there, which is focused on oil trades. The theoretical background as technical analysis, technical indicators descrip-tion or money management in trading, are described. The practical part of the thesis is focused on the analysis of oil market and the proposition of several strategies. These strategies are implemented subsequently to MQL4 language and tested on historical data.
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Investments of the Automotive Industry in Precious Metals as Strategic Materials
Dvořáček, Martin ; Plíhal, Tomáš (referee) ; Rejnuš, Oldřich (advisor)
The subject of the thesis is the investment recommendations of companies operating in the automotive industry to purchase strategic raw materials, such as in particular platinum, palladium and rhodium. Thesis include a theoretical description of the topic, respectively certain forms of hedging, instruments used to hedge and brief characteristics of precious metals. Analytical and proposed section of the thesis contains specific methods, procedures and its own approach used to meet the global target of thesis.
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Economic analysis of family house costs
Mišúth, Marek ; Korytárová, Jana (referee) ; Výskala, Miloslav (advisor)
The main goal of the diploma thesis is to analyze the development of commodity prices affecting the prices of materials and to prove their impact on the materials. The monitored materials were selected to represent the widest possible range of the construction market. The final result of the work is the prediction of the price of reference object for the next five years.
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Investing in Commodities through Futures Contracts
Králík, Patrik ; Bílek, Michael (referee) ; Rejnuš, Oldřich (advisor)
The diploma thesis focuses on the analysis and comparison of selected commodities in order to create an investment recommendation to diversify the hedge fund's equity portfolio. The theoretical part deals with issues related to the investment portfolio, commodities, trading through futures contracts and explains the applied analytical methods. In the practical part, commodities are first selected, which are then analyzed by selected methods and finally compared by a comparative method. The last part of the work contains, based on the results, a proposal to expand the investment portfolio and the process of making investments through commodity futures contracts.
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Small investor view into comodity derivatives
Prokopec, Michal ; Tichá, Jana (referee) ; Sojka, Zdeněk (advisor)
This thesis deals with investing into commodity assets through financial and commodity derivates. In the first section there are introduced single commodities and their historical price trends. There are further analysed relevant financial products, their positives and negatives. Practical section carries out an analyse of current state of the commodity market and makes the prediction of the future development. Finally there are mentioned different sorts of risk investors recommendations.
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The Use of Artificial Intelligence on Commodity Markets
Volf, Petr ; Geroč, Ján (referee) ; Dostál, Petr (advisor)
Tato diplomová práce se zabývá problematikou obchodování na komoditních trzích. Řešení problematiky spočívá ve využití umělé inteligence, konkrétně neuronových sítí, k technické analýze vývoje ceny vybrané komodity a snaze o co nejpřesnější predikci budoucího vývoje ceny pro podporu investičního rozhodování. Model neuronové sítě je vytvořen a použit pro predikci v programu MATLAB.
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