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Technical Analysis
Souček, Vilém ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This diploma thesis focuses on the general characteristic of the technical analysis and its use in deciding to invest in the stock market. Thesis includes theoretical data, which deal with problems concerning an investment in the capital market. In the practical part are some indicators of technical analysis applied to the selected shares, by means of them is formed investing strategy for the beginning investor. Furthermore, in practical part is described the design of application for technical analysis.
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Currency Trading
Gazsi, Ján ; Dostál,, Petr (referee) ; Sojka, Zdeněk (advisor)
This thesis deals with the possibilities of electronic stock trading of currency pairs. It analyzes the basic conditions and criteria which trader needs to meet to be able to participate on this market. This master’s thesis describes the use of technical indicators and fundamental messages through electronic trading platforms. Further thesis graphically compares the types of trading according to the time horizonts and then concludes suggestions and recommendations.
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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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Use of Time Series for Technical Analysis of Shares
Hela, Michael ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
This master's thesis deals with the analysis of selected rates of shares by using statistical methods including regression analysis and analysis of time series. Using moving averages as technical indicators in technical analysis of securities to predict the future development of rates of shares and finding buy and sell signals that these indicators generate. The results of this work are suggestions for stock trading based on the use of these methods.
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Comaparison of Method Prediction on Capital Market
Gruntová, Andrea ; Zerzánek, Ivan (referee) ; Sojka, Zdeněk (advisor)
This thesis is focused on one approach to technical analysis - technical indicators, which are used for forecasting the future trend of share prices and finding entry signals to buy stocks and exit signals to sell stocks generated by technical indicators. The application of chosen technical indicators is demonstrated on selected stocks traded on the Prague Stock Exchange during the chosen period. The result of analyses is a comparison of technical indicators and the successfulness of trading based on the indicated signals.
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Pattern Recognition in Temporal Data
Hovanec, Stanislav ; Hynčica, Ondřej (referee) ; Honzík, Petr (advisor)
This diploma work initially conduct research in the area of descriptions and analysis of time series. The thesis then proceed to introduce the problems of technical analysis of price charts as well as indicators, price patterns and method of Pure Price Action. The method Pure Price Action is demonstrated in this work in two practical examples of its application to real businesses with a view to discovering and analyzing price patterns, as well as analysis and prediction of future price and financial evolution. This analysis is an introduction to the processes of successful business, following on from this we discuss the theme of Pattern Recognition and the Instance Based Learning method. The practical aspect of this work is carried out with the aid of a MATLAB applied algorithm for the analysis of the price pattern Correction for sale and purchase in dynamic time segments, specifically in trading price graphs, like those used for commodities or stock trading. For the analysis of time series we use the Pure Price Action method. The Instance Based Learning method is used by the algorithm to recognize price patterns. The created algorithm is verified on real data of a 5 minute time series of the US Dow Jones price charts for the years 2006, 2007, 2008. The achieved accuracy is evaluated with the aid of Equity Curves.
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Evaluation of the technical condition of sewerage in small towns
Gembalová, Barbora ; Raček, Jakub (referee) ; Hluštík, Petr (advisor)
Bachelor thesis is focused on the evaluation of the number and severity of defects in the sewer network in small towns in the South Moravian region. At the beginning of the work I got to know appropriate legislation and clarification of basic terms. Fault statistics and other indicators of the technical condition of the sewer network were processed from conducted camera exploration. These data are processed by several factors, such as material, size profiles, sewer age and length of the sewer network. Data were processed in Microsoft Office Excel. We found, there is mostly concrete pipe in small towns, which is old. Based on the data will be necessary keep wrecking objects and sections cleaned or repaired.
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Technical analysis in the foreign exchange market
Králíková, Lenka ; Veselá, Jitka (advisor) ; Fičura, Milan (referee)
The main goal of this bachelor thesis is to test my own trading strategy based on technical indicators, to evaluate achived results and to make investment recommendations. The first part focuses on the foreign exchange market charakteristics, describes the foreign exchange market participants and foreshadows the main differences between three main analysis. Second part is dedicated to each single technical indicator, their basic characters and possibilities of use. Important part of this thesis is its practical part, in which I apply described theory not only from the technical side of view but also the psychological one, which is at least as important. This bachalor thesis contains united complex of essential informations for the novice investor.
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