National Repository of Grey Literature 177 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Automatic System for Options Trading
Vintoňak, Roman ; Rozman, Jaroslav (referee) ; Hříbek, David (advisor)
Options are becoming very popular tool for traders. In this theses I will first explain basic principles of markets, options, stocks and other relevant topics. Then I will perform research of brokers, who are working within Czech Republic and allow options trading. After that I will come up with various trading strategies for trading options, implement an environment for backtesting said strategies and analyse them. Finally I will implement an application for automated trading based on those strategies.
Automatic System for Cryptocurrency Trading
Mráz, Filip ; Rozman, Jaroslav (referee) ; Hříbek, David (advisor)
The thesis focuses on the creation of an automatic trading system (ATS) that is capable of simulating trading on historical stock exchange data and performing automated trading on the account of a selected broker. The system can statistically process and graphically display achieved results. User operates the system via a clear graphical user interface. Individual trading sessions are managed by the system in separate subprocesses. ATS implements 5 trading strategies of varying complexity, which are responsible for managing the trading decisions. Strategies use elements of technical analysis to interpret historical price move- ments, which serve as the basis for making buying and selling decisions. The fifth strategy utilizes a trained XGBoost model for its decision-making. Implemented strategies were tho- roughly tested on historical data, selecting periods with different market moods and price volatilities. Test results did not reveal any consistently profitable strategy, instead defining the strategies as high-risk.
Framework for backtesting of algorithmic trading including the strategy improvement using the evolutionary algorithms.
Kmenta, Martin ; Plchot, Oldřich (referee) ; Szőke, Igor (advisor)
This thesis focuses on the development of an advanced framework for backtesting algorithmic trading strategies, emphasizing the optimization of strategies using evolutionary algorithms. It deals with the analysis and application of technical analysis in the trading context. It also focuses on the design and development of modules for efficient retrieving, processing, visualization, and analysis of various types of market data, allowing users to create and backtest their indicators and trading strategies using a robust framework.
Stock Selection by Techical Analysis
Netušil, Petr ; Polách, Petr (referee) ; Sojka, Zdeněk (advisor)
This bachelor thesis is engaged in stock selection to portfolio with the help of technical analysis. In accordance with this aim the whole thesis is being structured, while at the beginning there are theoretical resources concerning exchange system mentioned, as well as basic methodology of technical analysis. These methods are further transferred into practical examples in the second part. This thesis thus describes possibilities of technical analysis in conditions of capital markets.
Company Financing via Initial Public Offering
Kovář, Jakub ; Ptáček,, Roman (referee) ; Meluzín, Tomáš (advisor)
Subject of this thesis is initial public offering and it’s main goal is describing of obtaining external funds for company’s funding. In the first part of the thesis is description of basic structure of financial markets, especially stock markets. The term IPO and it’s advantages and disadvantages are described. The last part is focused on individual steps of IPO realization. This thesis is focused on evaluation of chosen company’s entry on stock market. Especially macro-economic presumptions for IPO, readiness of chosen company and choice of suitable market are evaluated.
Investment Environment in the Virtual Real Cash Economy
Lehnert, Filip ; Hlavinka, Roman (referee) ; Budík, Jan (advisor)
The subject of this thesis is to introduce the reader to the issue of possible financial investment in the virtual economy with real funds and design strategies to maximize the initial capital appreciation. The introduction describes the analysis of virtual PED currency, the economy and the system of publicly traded shares. The main part is focused on presenting the results of practical traded investment based on fundamental analysis, speculation about the intrinsic value of the shares and evaluating applied strategies, including the benefits of work.
Portfolio Optimization
Šilarová, Hana ; Karlíková, Jana (referee) ; Novotná, Veronika (advisor)
This master’s thesis deals with problematics of portfolio theory, which helps to create optimal portfolios for the selected investment company. Portfolios consist of shares, which are traded on New York Stock Exchange and which include a historical value at least for two years. There are two ways of creating portfolios. The first way is the portfolio with minimal risk and no required return and the second way is the portfolio with minimal risk and required return. In this thesis are used mathematical methods, which include a linear algebra, an optimization and a statistics.
Selection of Strategies and Trading Platform for Electronic Trading on the Stock Exchange
Pawlas, Roman ; Chmielová, Alena (referee) ; Dvořák, Jiří (advisor)
Diploma thesis describes the design of business strategy for the beginning investor to the trading world stock markets using the Internet and trading platforms. Describes the current status of the issue, focusing on system analysis given problem. Furthermore, the model describes the selection of trading platforms, brokerage companies and the corresponding stock trading strategies.
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.
Algorithmic Trading Using Twitter Data
Kříž, Jakub ; Plchot, Oldřich (referee) ; Szőke, Igor (advisor)
This master's thesis describes creation of prediction system. This system predicts future market development based on stock exchange data and twitter messages analysis. Tweets from two different sources are analysed by mood dictionaries or via recurrent neural networks. This analysis results and technical analysis of stock exchange data results are used in multilayer neural network for prediction. A business strategy is created and tested based on results of this prediction. Design and implementation of prediction system is described in this thesis. This system achieved revenue increase more than 25 % of some business strategies by tweets analysis. However this improvement applies for certain data and timeframe.

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