This diploma thesis is engaging in investing on international stock markets and the main objective was to analyze the profit potential with consideration of possible risks. At first I have characterized international stock market and the theory of effective markets. In the second chapter I was focusing on methods that are used for stock valuations. The third chapter is comparing particular investment strategies that proved to be profitable in a long term. The secondary objective of my diploma thesis was recognition of investment risks, thus the fourth chapter is engaging in market and exchange rate risks. The fifth chapter is focusing on the hedging of exchange rate risk. I was applying obtained theoretical knowledge on a case study about BP company. All the results of the analysis were included in the final investment recommendation. The thoughts of the investment recommendation were then generalized into common investment principles.

Diploma thesis is focused on problematics of artificial neural networks and their usage on capital markets. There is a software created as a part of this diploma thesis which can load input data and create neural network that serves for share price forecast. This program is created in numerical computing environment MATLAB. Created neural network is tested under simulation of business model. Results are discussed upon examination of results of simulation.

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.

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.

The goal of this thesis “Futures trading of commodities as a retail trader” is creation of investment suggestion, based on analysis of possibilities, markets and factors influencing the price. In the first part are defined basic terms and information for better orientation on the futures commodity market. In the next part are analysis of the major commodity markets, groups of commodities and detailed analysis of interest commodities – gold and silver. The last third part of the thesis engage in creation of strategy for trading of commodity futures on gold and silver, which is the basic element for the final investment suggestion.

The Paper is focused on company shares value and manipulation with their course on capital market. Theoretical part describes Fundamentals and technical analysis, which are used for identifying share inner value a expected trend in course. Consequently are described forbidden market practices and transactions on capital market according to new legal regulation. Analytic part contains analysis, which identifies inner value of company shares and predicts trend in course. Following analysis are setting measures, which enables company management to realize appreciation of company shares, without making offend against legal regulations of securities course manipulation. Summary contains recommendations and findings, which can be generally used for improving companies positions on capital markets.

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.

The thesis deals with the design and optimization of artificial neural networks (specifically nonlinear autoregressive networks) and their subsequent usage in predictive application of stock market time series.

This diploma thesis describes issues of use of means of artificial intelligence for the decision making support on stock market. It includes theoretical knowledge of technical, fundamental and psychological analysis and artificial intelligence. Based on these facts have been created specific suggestions for the use of artificial neural networks to forecast the future value of the index S&P 500 by using development environment of the MATLAB software.

This master's thesis deals with artificial neural networks and possibilities of their use on stock market. In next chapters of this thesis there are provided design and implementation of stock prices prediction tool. The implementation is done with use of the MATLAB software. The created prediction tool is then tested in a simple trading simulation and achieved results are discussed in the end