The aim of the thesis is testing of created investment strategies on American capital market. The beginning of the thesis is devoted to the explanation of principles of Walk-forward optimalization, description of tested time period and shares and other starting points of the thesis. Afterwards several tools of technical analysis are used to create two trading systems, which are then tested. The final part of the thesis is devoted to the analysis of results of both trading system and to suggestions, which could improve both trading systems performance.

This thesis has two main objectives. It attempts to describe the process of developing an intraday discretionary trading strategy based on technical analysis and to create through the process an intraday discretionary strategy for speculative trading of contracts for difference on the OTC market. The theoretical part of the thesis is divided into three chapters providing the necessary knowledge for creation of an intraday discretionary trading strategy in the practical part of the thesis. The emphasis is put on the description of different tools and methods technical traders usually use in their strategies. The development process of the strategy is divided into three parts which are Strategy Creation, Backtest and Optimization. These parts are further divided into smaller sections dealing with different issues of the strategy development process. The final outcome of the work is structured development process of discretionary trading strategies and also highly profitable intraday discretionary strategy for trading of Gold based contracts for difference.

Diploma thesis focuses on the practical methods and application of technical analysis in international markets. Thesis is divided in three thematic parts. The first one focuses on the history and basic concepts of international exchange markets, futures contracts and the definition of basic terms which are essential for understanding the markets. Second part focuses on the methods of technical analysis which can be divided in two sections -- technical indicators and price action. All mentioned instruments are shown in real market data and charts. Third part focuses on the application of technical analysis in a chosen international market. The application goes through our trading system which combines appropriate technical indicators with price action formation supplemented by methods of money management. Several simulations were made on tested real historical data. The simulations differed in money management settings (automated stoploss tracking, Kelly's formula, Fixed ratio). To find the worst possible trading scenario was used Monte Carlo analysis.

The main goal of this thesis is to properly apply the methods and approaches of these two concepts of valuing stocks. Fundamental and technical analysis are the most common ways to value stocks. In the first part of the text, I present the theoretical background of fundamental analysis and aftewards apply its methods in practice. The whole analysis comes from global analysis of the economy and its relations to capital markets to banking industry analysis and firm analysis in the end. Technical analysis comprises two basic fields - charting and technical indicators. Upon the practical application of both concepts, I present the final recommendation for investors.

The aim of this thesis is to analyze the foreign exchange currency forecasting techniques. Moreover the central idea behind the topic is to develop the strategy of forecasting by choosing indicators and techniques to make own forecast on currency pair EUR/USD. This thesis work is a mixture of theory and practice analyses. The goal during the work on this project was to study different types of forecasting techniques and make own forecast, practice forecasting and trading on Forex platform, based on acquired knowledge.

Diploma thesis deals with the creation of an automated trading system for foreign exchange market with the usage of artificial intelligence and elements of technical analysis. In the custom solution design a brokerage company for trading and backtesting is selected with the help of fuzzy logic. For selecting currency pairs for backtesting the strategy on is used method of clustering called self-organizing map. The particular ATS is created in MetaTrader4 platform with the usage of a programming language MQL4 and a FANN library for creating artificial neural networks.

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.

The purpose of this master’s thesis is comparison of selected methods for prediction of the capital markets. It is about technical analysis methods, used to predict trend of share prices of the capital market and finding entry signals to buy stock and exit sinals to sell stock. Methods are analyzed for selected stock from SPAD, which is part of Prague Stock Exchange.

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.

This thesis deals with trading using technical analysis. Mostly attention is paid shares traded on the Prague Stock Exchange. The practical part describes computer program, which gives recommendations for the purchase and sale of shares based on moving averages and methods of moving average convergence / divergence and relative strength index. The conclusion is stated financial comparison of the methods.