This work deals with stock market prediction via technical and psychological analysis. We introduce theoretical resources of technical and psychological analysis. We also introduce some methods of artificial intelligence, specially neural networks and genetic algorithms. We design a system for stock market prediction. We implement and test a part of system. In conclusion we discuss results.

This diploma thesis is focused on the general characteristics of the technical analysis, definitions of the information sources and technical analyses. Main attention is given to the particular indicators of the technical analysis. Practical part of this thesis includes applying of the defined indicators in the evaluation of the money market situation.

This master‘s thesis is focused on creating an application, which would suggest an optimal portfolio of shares from SPAD Stock Market Praha. The application is based on the CAPM model, which is also described in this paper. There is a calculation of securities characteristics and specific portfolio diversification is suggested. The application also allows a user to simulate investments based on his requirements.

This master thesis deals with issue of trade on commodity market, especially the gold. It uses the artificial intelligence resources, more accurate non-linear auregressive neural network. The purpose is the prediction of the gold prices by indicators which has impact on the gold.

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.

This thesis deals with technical analysis, which is used to predict future development of stocks. The first part describes the theoretical background needed for the next section. This is followed by analysis of the current state, which assesses the current situation. The main part is devoted to the creation of a program to support technical analysis for the novice investor and the demonstration of its use in trading.

This thesis focuses on design, implementation and optimalization of automated trading system based on breakout strategy and public fundamental data wich trades on FOREX. It descripes theoretical backgroud of financial markets and especially focuces on FOREX. This automated trade system is implemented in object oriented programing paradigm for MetaTrader 5 platform. Last part of thesis is aimed at testing implemented system on historical data in order to evaluate the correctness of system and optimalizations.

This master’s thesis deals with the technical analysis of Starbucks Corporation, Vodafone Group, Apple and Autodesk stocks, which are tradeable at stock market NASDAQ. At the beginning, this work focuses on theoretical materials, which are then used for elaborating three trading systems and their testing on selected stocks. Conclusion of this thesis contains a selection of trading system for each stock on selected period of time.

This thesis deals with an analysis and prediction of foreign exchange markets. The thesis is based on the fractal market hypothesis and it uses tools based on fractal geometry for prediction of markets. The thesis also describes ways of using advanced methods of artificial intelligence for analyzing markets. The outcome is designed and implemented automatic trading system. The thesis also deals with testing of designed system on historical data and on the latest data as well.

This thesis is focused on the design and optimization of automated trading system, which will be traded in FOREX. The aim is to create a business strategy that is relatively safe, stable and profitable. Optimization and testing on historical data are a prerequisite for the deployment into real trading.