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.

Part of this Master’s thesis is an analysis of chosen technical indicators for selected currency pairs and following by creation business strategy. It includes theoretical basis of technical analysis. Next part describes the design of application to support technical analysis. Conclusion of thesis contains single business strategies.

The subject of my thesis is technical analysis - creation of an investment strategies. The theoretical part describes the theoretical background relating to technical analysis and indicators. The practical part map the current situation in the environment of investing in forex - comparing brokers, choice of platform, etc. The solution contains a description of the investment strategies that have been programmed in Meta Quotes Language 4 and tested and optimized using genetic algorithms in platform MetaTrader 4. In my thesis is also calculated the interdependence of investment strategies.

This thesis deals with the design of trading strategies suitable for trading the currency markets. Design is carried out by means of artificial intelligence, the proposed strategies are then optimized and evaluated using previously unknown data. The partial objective is to implant this process in an existing company with the aim to broaden its capital. The consequences arising from this trading approach to the development of the company’s capital are subsequently studied from several perspectives – a schedule is outlined for the introduction into the company that has been chosen earlier, then the expected costs and revenues are compared in the scope of medium-term and in the last part the above procedure is analyzed so its risks can be pointed out and therefore procedures for their restrictions can be proposed as well.

This thesis deals with design of Forex trading strategy. The main goal is to achieve satisfying trading results with strategy based on fundamental and technical analysis. This paper provides brief introduction into the International Interbank Foreign Exchange and describes basic principles of both technical and fundamental analysis. The most important part of this thesis contains the design of trading strategy and description of its implementation. Also the verication of suitability of designed strategy for Forex trading is involved.

This master’s thesis primary deals with a design and a development of own automated trading system which is specialized for commodity markets, especially corn, soybean, wheat and slightly for gold. You can find theoretical basics of technical analysis here, then technical indicators, risk management and trading systems themselves. System is completely designed and programmed in MetaTrader trading platform with using programming language MQL and genetic algorithms. The output of this thesis is portfolio containing six trading strategies which achieved totally 42,4 % increase in three months at the end of year 2014.

This diploma thesis deals with theoretical and practical aspects of the commodity mar-ket. The automated trading system is designed and described there, which is focused on oil trades. The theoretical background as technical analysis, technical indicators descrip-tion or money management in trading, are described. The practical part of the thesis is focused on the analysis of oil market and the proposition of several strategies. These strategies are implemented subsequently to MQL4 language and tested on historical data.