National Repository of Grey Literature 142 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
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.
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.
The Proposal of order Process Improvement by Company
Zwinsová, Jana ; Handlová, Jitka (referee) ; Bartoš, Vojtěch (advisor)
This Bachelor thesis deals with an analysis of ordering process improvement by company. It is focused on the flow of goods from producer to final customer and concerns on customers´ requirements. In first chapters of the thesis the concept of order, customers and logistics is defined. The logistics section is very wide, that is why the paper deals more with distributive logistics and related areas such as packaging, handling, stocking, transportation and communication. In the next part of the thesis, the theoretic knowledge is used to analyze the situation in specific company - MOTIP DUPLI Ltd. Finally, some recomendations and trends which the company will have to deal with in a near future are presented.
The Use of Artificial Intelligence on Capital Markets
Dzuro, Daniel ; Budík, Jan (referee) ; Dostál, Petr (advisor)
The objective of this thesis is to evaluate the possibility of creating a tool capable of predicting commodity prices. Along with other business strategies, tools and markets analyses for financial and capital markets, this tool should help make the best estimate of future developments on the observed markets. The main market, on which this work is focused, is the agricultural commodities market, namely corn and its related markets. The fundamental basis upon which the arguments in this thesis are built, is the use of artificial intelligence, particularly neural networks. The whole application is presented using a graphical user interface that allows even those with little or no understanding of this field to delve deeper into the interesting area - using modern computer systems to support trading activities.
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.
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.
The Use of Means of Artificial Intelligence for the Decision Making Support on Financial Markets
Turoň, Michal ; Galvánek, Juraj (referee) ; Dostál, Petr (advisor)
This master thesis deals with issue of trade on commodity market, especially the gold. It uses the artificial intelligence resources, more accurate non-linear auregressive neural network. The purpose is the prediction of the gold prices by indicators which has impact on the gold.
The use of Artificial Intelligence for Exchange with Metal to Support Decision-making of Firm
Elhenický, Jan ; Černý, Josef (referee) ; Budík, Jan (advisor)
This master thesis deals with issues connected with using artificial intelligence in metal exchange. It describes theoretical bases of financial markets, various methods of analyses and artificial intelligence. Main accent is put on creating functional models in Matlab program which will predicate incoming values of time series. Part of the thesis is description of company, for which are those models of neural networks for supporting decision making created.
The use of technical analysis to determine the prices of energy commodities
Kopunec, Kristián ; Pěcha, Jiří (referee) ; Radil, Lukáš (advisor)
This work is focused on the problems of technical analysis and the technical indicators themselves. It deals with trends, graphs and formation issues. It clarifies them individually. It focuses on technical indicators. It deals in particular with price indicators that are key to selecting the appropriate key method. Using available information from OTE. The selected indicator is counted and then applied to a suitable commodity. The role of the work is to predict the market development using technical indicators and to evaluate the possibilities of the given indicator.
Countryside 3.0
Přikrylová, Monika ; Kekel, Roman (referee) ; Kristek, Jan (advisor)
The proposal follows up on the undergraduate semester work which dealt with a topic of data centers - a lifestyle based on data circulation. Growing needs of city dwellers, coupled with the demand of constant connectivity, are reflected in the transformation of the landscape which is being occupied by gigantic data centers. Those data centres in the loopback reconfigure the environment of cities that use their instant and "unlimited" computing power. The landscape is becoming the engine room of digital urban life. The thesis develops social and environmental issues of "continuity between a city and a country” and outlines a problem of self-sufficiency and awareness of the energy intensity of current urban lifestyle. In my work I focus on one of the by-products of data centers. That is waste heat, which has a negative effect on the quality and lifespan of electronic components - it is undesirable. Data center entrepreneurs have found a way to divert unfavourable attention from the debate about the energy demand of big data. They transform waste into a desired commodity by replacing conventional forms of heating with a system newly based on the supply of waste heat. Therefore, they are becoming significant suppliers of thermal energy. The phenomenon of heat recycling neutralizes external criticism of big data by making urban life literally dependent on it. The sustainable future of data center operations takes place largely without critical debate. On the contrary, it confirms data production as a process that literally drives everyday life. This new wave of green techno-optimism and related implementations is shrouded in a discourse of innovation, environmental friendliness and smart data processing. The diploma thesis deals with the phenomenon of commodification of waste heat of a specific data center, and its potential for symbolic and material transformation of the urban environment. The critical dimension of this transformation allows visitors to literally experience first-hand the manipulation of the climate of a specific location - the new city market in Brno. Other issues arise in connection with the recycling of waste heat. What will happen when big data streams become a raw material to replace older forms of energy supply in an urbanized world? What will be the impact on the city´s heating, the economic and symbolic importance of data center entrepreneurs?

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