This master thesis in its opening chapter inform about some basic charakteristics of New York Stock Exchange. Then indicators and tools of fundamental and technical analysis of stocks are explained in folowing chapters. In practical part of the thesis is taking place a evaluation of fundamental and technical analysis based on historical data from american stock market. For this prupose the data of constituents companies of Dow Jones Industrial Average index are used covering market history as far as possible.

Assessing the source code quality of software objectively requires a well-defined model. Due to the distinct nature of each and every project, the definition of such a model is specific to the underlying type of paradigms used. A definer can pick metrics from standard norms to define measurements for qualitative assessment. Software projects develop over time and a wide variety of re-factorings is applied tothe code which makes the process temporal. In this thesis the temporal model was enhanced using methods known from financial markets and further evaluated using artificial neural networks with the goal of improving the prediction precision by learning from more detailed patterns. Subject to research was also if the combination of technical analysis and machine learning is viable and how to blend them. An in-depth selection of applicable instruments and algorithms and extensive experiments were run to approximate answers. It was found that enhanced patterns are of value for further processing by neural networks. Technical analysis however was not able to improve the results, although it is assumed that it can for an appropriately sizedproblem set.

Diploma thesis focuses on the description of the financial market and its importance in the economy and examines the various approaches and methods of analysis of investment instruments and the nature of investing at all. The main part is devoted to tools of the technical analysis of shares and financial derivatives and their practical use in deciding on investment in financial markets. The most important part of this work is the follow-up evaluation of the effectiveness of investments.

This thesis is devoted to the technical analysis with the emphasis on design, testing and using of trading systems. Its objective is to find out whether it is possible for a trader to design and trade his own profitable trading system with widely accessible tools and methods. First part of the thesis is focused on the chart analysis and description of candlestick charts including their rate of profit success, all based on hands-on experience in a real market. It continues with a breakdown of most used methods based on moving averages. The second chapter fully describes main stage of trading system development and follows up with third chapter on practical application of the theoretical assumption on the real market conditions, i.e. to design a profitable trading system

This paper initially presents the theory behind technical analysis and the conditions for using it. Then it describes how the test of indicators was made. Then the results are commented upon by various titles, markets and indicators. After evaluating the success of technical analysis on various markets, this success was compared between the markets what led to determination of the markets efficiencies.

This thesis is focused on selected methods of the technical analysis and their application on foreign exchange rate. The goal is to evaluate the usability of individual methods in the field of foreign exchange market. The main emphasis is on moving averages, but also other methods are tested. For the purpose of evaluation is used the profitability of tested methods or other suitable characteristics. The methods of technical analysis are theoretically described in the first part of this thesis and in the second part follows their testing with the use of real data and the evaluation of their performance.

Diploma thesis focuses on fundamental and technical analysis of the stock Komerční banka, a.s. The aim of the work is to applicate techniques of both analyses and prepare investvment recommendations according to acquired results. This work also provides theoretical background of particular analyses and applied methods. The first chapter contains global fundamental analysis supplemented by analysis of relations between main factors and index PX using correlation coefficient. Another two chapters deal with sector analysis and calculation of intrinsic value of the stock. The last chapter is devoted to technical analysis using chart's methods and methods based on technical indicators.

Thesis combines two approaches towards stock analysis, fundamental and technical analysis. Prime objective is to present main instruments of both analysis techniques. At first there is presented theory of both, fundamental and technical analysis. Under the fundamental section there are presented global and sector factors that influence prices of stocks. Section of technical analysis starts with historical overview, followed by graphical analysis and technical indicators. Second part consists of the application of chosen methods of fundamental and technical analysis. There are plenty of graphs and practical examples within the application section to support theoretical principles.

Technical analysis as a sophisticated form of forecasting technique has a varying popularity in the academic and business world. In the past, users were sceptical about technical trading rules and their performance. This is substantiated by the acceptance of the Efficient Market Hypothesis and mixed empirical findings about technical analysis in widely cited studies. The flag pattern is seen as one of the most significant spread chart patterns amongst stock market charting analysts. The present research validates a trading rule based on the further development of flag pattern recognition. The research question concentrates on whether technical analysis applying the flag pattern can outperform international stock markets indices and prove the inefficiency of these markets. The markets observed are represented by the corresponding indices DAX (Germany), DJIA (United States) and IBEX (Spain). The design of the trading rule presents several changes with respect to previous academic works: The wide sample used when considering intraday data, together with the confiuration of some of the variables and the consideration of risk, concludes that the trading rule provides greater positive risk-adjusted returns than the buy-and-hold strategy which is used as a benchmark. The reported positive results strengthen the robustness of the conclusions reached by other researchers. / El análisis técnico es una forma sofisticada de técnica de predicción cuya popularidad ha ido variando en el mundo académico y de los negocios. En el pasado, los usuarios eran bastante escépticos respecto de las reglas técnicas de trading y su performance. Todo esto, se encuentra sustentado por la aceptación de la hipótesis del mercado eficiente y descubrimientos empíricos mixtos sobre el análisis técnico, que se mencionan en un número amplio de estudios. El patrón bandera es visto como uno de los patrones gráficos más significativo y difundido entre los analistas técnicos de mercado. El presente estudio valida una regla de trading basada en el desarrollo futuro del reconocimiento gráfico del patrón bandera. La pregunta de investigación se centra en si el análisis técnico basado en el patrón bandera puede batir los índices internacionales de mercado y probar, de esta manera, la ineficiencia de dichos mercados. Los mercados observados son representados por los correspondientes índices DAX (Alemania), DJIA (Estados Unidos) e IBEX (España). El diseño de la regla de trading presenta varios cambios y novedades con respecto a trabajos académicos previos. La amplia muestra usada al considerar los datos intradía, junto con la configuración de algunas variables y la consideración del riesgo, confirman que la regla de trading proporciona mejores, y más ajustadas al riesgo, rentabilidades positivas que la estrategia de buy-and-hold que se utiliza como referencia. Los resultados positivos corroboran la robustez de las conclusiones a las que también se llegan en otros trabajos. / L'anàlisi tècnica és una forma sofisticada de tècnica de predicció, la popularitat de la qual ha anat variant al món acadèmic i dels negocis. En el passat, els usuaris eren bastant escèptics respecte de les regles tècniques de trading i la seva performance. Tot això, es troba sustentat per l'acceptació de la hipòtesi del mercat eficient i descobriments empírics mixts sobre l'anàlisi tècnica, que s'esmenten en un nombre ampli d'estudis. El patró bandera és vist com un dels patrons gràfics més significatiu i difós entre els analistes tècnics de mercat. El present estudi valida una regla de trading basada en el desenvolupament futur del reconeixement gràfic del patró bandera. La pregunta de recerca se centra en si l'anàlisi tècnica basada en el patró bandera pot batre els índexs internacionals de mercat i provar, d'aquesta manera, la ineficiència d'aquests mercats. Els mercats observats són representats pels corresponents índexs DAX (Alemanya), *DJIA (Estats Units) i IBEX (Espanya). El disseny de la regla de trading presenta diversos canvis i novetats pel que fa a treballs acadèmics previs. L'àmplia mostra usada en considerar les dades intradia, juntament amb la configuració d'algunes variables i la consideració del risc, confirmen que la regla de trading proporciona millors, i més ajustades al risc, rendibilitats positives que l'estratègia de buy-and-hold que s'utilitza com a referència. Els resultats positius corroboren la robustesa de les conclusions a les quals també s'arriben en altres treballs. / Michniuk, K. (2017). PATTERN RECOGNITION APPLIED TO CHART ANALYSIS. EVIDENCE FROM INTRADAY INTERNATIONAL STOCK MARKETS [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/78837 / TESIS

The purpose of thesis is to compare the selected methods of predictive technique on the capital markets. I have processed the comparison of methods through the practical application of them in practice to share the selected title in a particular period of time. The objective of the selected methods comparison is signal detection of them in the chosen time period.