A theme of the master’s thesis is to describe current state of capital market and pension system in the Czech Republic. It includes a list of laws that are relevant to this topic. Foreign pension systems are also described. A main is Proposel Part where for concrete person are proposed variations of saving or investing to keep money in reserve for retirement. In each variation is described advantage and disadvantage of this solution.

My thesis deals with analyses of returns of IPO’s in the Czech capital market. The theoretical section of the thesis contains of circumscription of main terms and methodics for preparations and realizations of IPO. In the analytical section these theoretical findings are applied. This thesis should bring realistic view of returns of IPO’s for investors and evaluate present trends on IPO market.

Diploma thesis deals with analysis of investment opportunities in the capital markets. The aim of this thesis is to devise an appropriate investment strategy and financial investment of the company in the capital markets given to the current economic situation. This thesis takes into account the concrete requirements defined by investor.

This thesis deals with models of investment strategies in an environment of capital markets. Based on the research environment of financial markets, analysis of available financial products and the help of supporting information resources, there are developed and simulated three different investment strategies – risk dynamic strategy, medium balanced strategy and a stable conservative strategy. The output of work is an investment questionnaire, which is used to select appropriate investment strategies, and three models of investment strategies, including evaluation. Investment evaluation itself is performed by fuzzy logic.

This diploma thesis is focused on using statistical methods of technical analysis of stocks. The teoretical part describes basic principals of regression and technical analysis with a description of the technical indicators that are used to predict the future development of share prices and finding appropriate moment to buy or sell stocks. The results of the analysis is the comparison of indicators and their applicability to trade the stock titles.

The thesis deals with the evaluation of investments in company shares. It analyzes internal and external surroundings of the selected enterprises and it describes historical development of their ordinary shares. It further deals with the particular comparison of selected investment opportunities in order to find most preferably one. The thesis should enable potential investor to orientate in the investment field

Master´s thesis deals with proposal for optimal financial investment of company with regard to its investment strategy and present economic situation. Proposal for optimal financial investment of company has been formed on the basis of the analysis of situation on financial markets and analysis of present investment opportunities on financial market of Czech Republic.

The thesis deals with the trading on capital markets, the use of artificial intelligence, artificial neural networks, for modeling the behavior of stocks. The work contains a description of the capital markets, stock trading, methods of artificial intelligence. The main part of the thesis is the model for predicting the course and trend of shares, working in MATLAB, which serves as a support for trading decisions.

This thesis deals with design, optimization and testing of an automated trading system intended for trading CFD contracts. The strategy is based on a combination of a moving average and a custom indicator, which gives signals based on convergence of signals of other monitored indicators. The designed automated trading system also contains a simple, but efficient money management. It is responsible for risking a constant portion of current account balance on each trade. The thesis continues with comparison of three ways to optimize chosen input parameters and comparison of performance of the strategy for ten tested market symbols.

This thesis is aimed to exploitation of fundamental analysis in automatic trading. Technical analysis uses historical prices and indicators derived from price for price prediction. On the opposite, fundamental analysis uses various information resources for price prediction. In this thesis, only quantitative data are used. These data sources are namely weather, Forex, Google Trends, WikiTrends, historical prices of futures and some fundamental data (birth rate, migration, \dots). These data are processed with LSTM neural network, which predicts stocks prices of selected companies. This prediction is basis for created trading system. Experiments show major improvement in results of the trading system; 8\% increase in success prediction accuracy thanks to involvement of fundamental analysis.