This diploma thesis is committed to examination of validity of Harmonic Patterns in Forex trading. Scott Carney described existing and introduced new Harmonic Patterns in 1999 in his book Harmonic Trader. These patterns use the Fibonacci principle to analyze price action and to provide both bullish and bearish trading signals. The goal of this thesis is to find out whether harmonic trading strategy on selected pairs is profitable in FX market, which patterns are the most profitable and what is the success rate for the signals they provide.

The aim of this thesis is to analyse the current situation on the precious metals market, above all of gold and silver, as metals with an interesting past and future. The result should be a current view of both markets and their unique differences. The first part is devoted to the characteristics of gold and silver, their utilisation and outlook of new applications as a consequence of developing industrial branches in the new millennium. The second part is a more detailed view of the market and an analysis of the aspect of supply and demand of both theese metals and differences that influence their price. The third part brings together the main factors shaping this market and introduces some indicators eligible to watch these markets. The conclusion presents an evaluation of the discussed conclusions in a broader perspective.

The aim of the diploma thesis is to test the own trading strategies on the exchange market and evaluate their success and applicability in practice. In the introduction of the diploma thesis, there are described basic parameters and basis for testing, such as tested indicators, tested time period and chosen currency pairs. In the next part of the thesis, selected indicators are compiled into three trading strategies, which are then tested . The final part consists of evaluating the results of all three trading strategies .

In this thesis we compared a profitability of several investment strategies that could be used at the stock markets and we adjusted them for the need of Prague Stock Exchange. The strategies that we used are based on some different principles and they provide different results. We found that the strategies based on the technical approach gave us better results than the strategies based on the fundamental approach. The next finding is that those strategies for which the investors would go also into the short sell perform better than the strategies for which the investors would take just the long positions. The best results we got for the momentum strategy, which is based on the autocorrelation of returns.

Master thesis mainly focuses on the use of technical analysis for testing stocks of chosen companies. The theoretical part describes background papers necessary for using technical analysis and for creating diversified portfolio. The analytical part describes the selection of several automobile manufacturers from NASDAQ stock market, which will be examined in the following part by several methods of technical analysis. The last part of this thesis is also dedicated to application created for necessary calculations in Matlab and to portfolio composed of investment funds by Erste Bank.

The thesis deals with the optimization of the selected investment portfolio. Solver suggests automated investment model that will use advanced algorithms based on artificial intelligence and principles of technical analysis. Optimization of parameters and verifying the performance of the investment model is realized on historical market data. The result of this thesis is optimized investment model with an emphasis on maximizing profits and stability. The thesis is realized in an environment Python programming language and freely available analytical libraries.

The capability to be able to determine the future progression on the worlds stock exchange is an important issue, which has become discernible in the last decades. An important role of this progression lies within the fast advancements in computerized technology. Aforementioned document describes a mechanism used for prediction of the future price of a certain stock. The strategy of trading is build upon this mechanism, and the core of this prediction system is an artificial neural network. Inputs used in this network are indicators derived from technical analysis. This trading system was implemented into historical trades and successfully tested.

This master's thesis is focused on algorithmic trading on the forex market using artificial neural networks. In the introduction, there are generally described terms concerning the trading. Subsequently, in the following chapters, the thesis describes the theory of neural networks and their possible use. The practical part contains designed business strategies with neural networks. Inputs used in the network are indicators of technical analysis or directly price level. Business strategies have been implemented and tested. In the conclusion, there are summarized findings of individual business models.

The capability to be able to determine the future progression on the worlds stock exchange is an important issue, which has become discernible in the last decades. An important role of this progression lies within the fast advancements in computerized technology.Aforementioned document describes a mechanism used for prediction of the future price of a certain stock. The strategy of trading is build upon this mechanism, and the core of this prediction system is an artificial neural network. Inputs used in this network are indicators derived from technical analysis. This trading system was implemented into historical trades and successfully tested.

The aim of the diploma thesis is portfolio optimalization of middle-sized investor. His assets are placed into repo and shares. Shares are selected from the range of blue chips in czech and german stock market, that means from securities contained in PX index and DAX index. This selection is based on fundamental and technical analysis. The portfolio in foreign currency is hedge against downtrend of exchange rate by knock-out product. The final part of the thesis belongs to appreciation of assembled portfolio.