National Repository of Grey Literature 101 records found  beginprevious83 - 92next  jump to record: Search took 0.00 seconds. 
Design of Automatic Trading System Based on Trend Indicators and Oscillators
Cibula, Peter ; Dostál, Petr (referee) ; Budík, Jan (advisor)
This thesis deals with the implementation of the software for automated stock trading based on trend indicators and oscillators. It describes the various signals that are provided by formations in charts and technical indicators, but also the possibility of using advanced artificial intelligence methods. This document describes entire development process of the software from individual parts to the folding of these parts into one system. It focuses on the optimization processes of individual parts, as well as a complete system. This thesis also deals with the testing of the system on historical data and its application on the latest data. It introduces the future plans, deployment options to the real market and its further improvement in order to develop ideal business system capable of autonomous thinking and trading.
Automatic Trading System Based on Breakout Strategy and Public Fundamental Data
Mičulka, Václav ; Dostál, Petr (referee) ; Budík, Jan (advisor)
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.
Design and Use of Automatic Trading System for Increasing Company's Capital
Kněžínek, Michal ; Suchomel, Michal (referee) ; Budík, Jan (advisor)
This diploma thesis discusses about the possibilities of investing in the capital market with a focus on the foreign exchange market. Analysis of the company, whose output is SWOT analysis, is focused on the economic justification of investments. The essence is the proposal of automatic trading systems that will automatically trade on the basis of information from the market and add value to ivested capital. This automatic trading systems are designed in analytic platform named MetaTrader and their parameters are optimized by genetic algorithms.
Design and Optimization of Automated Trading System
Ondo, Ondrej ; Gancarčík, Lukáš (referee) ; Budík, Jan (advisor)
This thesis focuses on automated trading systems for foreign exchange markets. It describes theoretical background of financial markets, technical analysis approaches and theoretical knowledge about automated trading systems. The output of the thesis is set of two automated trading systems built for trading the most liquid currency pairs. The process of developing automated trading system as well as its practical start up in Spartacus Company Ltd. is documented in the form of project documentation. The project documentation captures choosing necessary hardware components, their installation and oricess of ensuring smooth operation, as well as the selection and installation of the necessary software resources. In the Adaptrade Builder enviroment there has been shown the process of developing strategies and consequently theirs characteristics, performance, as well as a graph showing the evolution of the account at the time. Selected portfolio strategy has been tested in the MetaTrader platform and in the end of the thesis is offered assessing achievements and draw an overall conclusion.
Automatic Trading System for CFD Markets
Novák, Milan ; Novotná, Veronika (referee) ; Budík, Jan (advisor)
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.
Support for Investment Decision Expert on Currency Markets
Vlček, Tomáš ; Novotná, Veronika (referee) ; Budík, Jan (advisor)
The thesis focuses on automated trading systems for trading on currency market. It describes basics of market analysis and deals with the design, optimization and identifying appropriate indicators of automatic trading system, which is based on the Fibonacci retracement. This system should serve as a decision support for trader's operations in the currency market. Furthermore, this thesis deals with the possibility of avoiding exchange rate risk by trading in the foreign exchange market.
Analysis and Prediction of Foreign Exchange Markets by Chaotic Attractors and Neural Networks
Pekárek, Jan ; Dostál, Petr (referee) ; Budík, Jan (advisor)
This thesis deals with a complex analysis and prediction of foreign exchange markets. It uses advanced artificial intelligence methods, namely neural networks and chaos theory. It introduces unconventional approaches and methods of each of these areas, compares them and uses on a real problem. The core of this thesis is a comparison of several prediction models based on completely different principles and underlying theories. The outcome is then a selection of the most appropriate prediction model called NAR + H. The model is evaluated according to several criteria, the pros and cons are discussed and approximate expected profitability and risk are calculated. All analytical, prediction and partial algorithms are implemented in Matlab development environment and form a unified library of all used functions and scripts. It also may be considered as a secondary main outcome of the thesis.
Design of Trading Strategy for Managing of Free Financial Capital of the Company
Jiřík, Leoš ; Dufek, Ladislav (referee) ; Budík, Jan (advisor)
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.
Evolutionary Algorithms for the Solution of Travelling Salesman Problem
Jurčík, Lukáš ; Budík, Jan (referee) ; Dostál, Petr (advisor)
This diploma thesis deals with evolutionary algorithms used for travelling salesman problem (TSP). In the first section, there are theoretical foundations of a graph theory and computational complexity theory. Next section contains a description of chosen optimization algorithms. The aim of the diploma thesis is to implement an application that solve TSP using evolutionary algorithms.
The Investment Models in an Environment of Financial Markets
Repka, Martin ; MSc, Martin Volko (referee) ; Budík, Jan (advisor)
This thesis focuses on automated trading systems for financial markets trading. It describes theoretical background of financial markets, different technical analysis approaches and theoretical knowledge about automated trading systems. The output of the present paper is a diversified portfolio comprising four different investment models aimed to trading futures contracts of cocoa and gold. The portfolio tested on market data from the first quarter 2013 achieved 46.74% increase on the initial equity. The systems have been designed in Adaptrade Builder software using genetic algorithms and subsequently tested in the MetaTrader trading platform. They have been finally optimized using sensitivity analysis.

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