National Repository of Grey Literature 185 records found  beginprevious152 - 161nextend  jump to record: Search took 0.01 seconds. 
Flood Prediction in Borovnice - Dalečín Measure Profiles
Hiesböcková, Tereza ; Janál, Petr (referee) ; Starý, Miloš (advisor)
Aim of a work is construction of forecasting models for prediction of flood flows of measuring profile Borovnice – Dalečín on the river Svratka. As a tool for issuing predictions will be used classic hydrological forecasting models, and models based on artificial intelligence methods. Predictive model will be consisting from summer flood flows for the years 1997-2007. In the end of the work will chosen a better method for issuing forecasts
Technical Analysis
Spáčil, Přemysl ; Budík, Jan (referee) ; Novotná, Veronika (advisor)
This master’s thesis is focused on the development, optimization and testing automated trading systems (ATS) using technical analysis. The first part, which describes mainly theoretical background, is followed by the practical part. This section deals with designing workflow for the development of ATS. Outcome of this thesis is portfolio of strategies that can be traded on e-mini markets. Some systems have been designed in Adaptrade Builder using genetic algorithms, while all testing was performed in TradeStation platform.
Optimization of Investment Strategy Using Genetic Algorithms
Novák, Tomáš ; Brázdil, Jiří (referee) ; Budík, Jan (advisor)
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.
The Use of Genetic Algorithms for Construction of Automated Trading Systems
Grega, Martin ; Doubravský, Karel (referee) ; Budík, Jan (advisor)
The thesis deals with the use of genetic algorithms in the process of creating automated trading systems. The emphasis is on testing the robustness of the developed strategies, their practical applicability in the financial markets and minimizing risk through diversification. The output of this work is a portfolio consisting of three strategies that achieved 31.3% return on capital during the fourth quarter of 2014.
Technical Analysis
Kosek, Lukáš ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
This thesis deals with problems of the technical analyses and its usage during creation of the automated trading systems. Theoretical section explains the basic principles of functioning of the monetary market (Forex) and includes technical indicators. Portfolio of strategies, as output of this work, was applied onto monetary pairs of Euro/American dollar and British pound/American dollar. Computer program Adaptrade Builder was used for proposed commercial strategies with help of the genetic algorithms and subsequently tested on the MetaTrader 4 commercial platform.
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.
The Use of Means of Artificial Intelligence for the Decision Making Support in the Firm
Surynek, Jiří ; Sklenář, Pavel (referee) ; Dostál, Petr (advisor)
This thesis focuses on the problem and application of artificial intelligence in company decision making. Especially, the use of fuzzy logic in order to select most suitable product which meets a number of parameters. Custom solution are created in the Matlab development environment, and also in MS Excel.
Technical Analysis
Němec, Ondřej ; Dvořák, Zdeněk (referee) ; Novotná, Veronika (advisor)
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.
The Use of Means of Artificial Intelligence for the Decision Making Support on Stock Market
Jasanský, Michal ; Dolečková, Iva (referee) ; Dostál, Petr (advisor)
This diploma thesis deals with the prediction of financial time series on capital markets using artificial intelligence methods. There are created several dynamic architectures of artificial neural networks, which are learned and subsequently used for prediction of future movements of shares. Based on the results an assessment and recommendations for working with artificial neural networks are provided.

National Repository of Grey Literature : 185 records found   beginprevious152 - 161nextend  jump to record:
Interested in being notified about new results for this query?
Subscribe to the RSS feed.