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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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Trading with Equity CFDs
Zach, Jiří ; Bizoň, Jaromír (referee) ; Budík, Jan (advisor)
The aim of this thesis is to design an investment strategy focused on tool called CFD. The first theoretical part contains basic information about financial derivates and explains basic principles of trading on stock market with contracts for difference. Chapter of the investment analysis explains the methods and rules used in trading. The practical part presents the results of my trading CFDs and evaluated my proposed strategy along with the benefits of work.
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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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Trading with Equity CFDs
Zach, Jiří ; Bizoň, Jaromír (referee) ; Budík, Jan (advisor)
The aim of this thesis is to design an investment strategy focused on tool called CFD. The first theoretical part contains basic information about financial derivates and explains basic principles of trading on stock market with contracts for difference. Chapter of the investment analysis explains the methods and rules used in trading. The practical part presents the results of my trading CFDs and evaluated my proposed strategy along with the benefits of work.
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Share appreciation at the stock markets
Parpel, Jan ; Votava, Libor (advisor) ; Ludva, Michal (referee)
This work is divided into two parts -- the theoretical and the practical one. The theoretical part lists instruments that are traded at the stock markets. There are described advantages and disadvantages of each instrument, trends in which the instruments move and how to analyse them correctly. The next part is about broker companies in the Czech Republic, their comparison and about information that we need to know before starting the trading. For the trader is very important part about technical and fundamental analysis. The work is oriented for a starting trader that wants to gain the main information about stocks and start trading at the stock markets. In the practical part is summed up, how big of an influence does the announced reports have on the movement of stocks of Commercial bank in years 2007 -- 2009. The last part shows how to draw and analyse trend correctly.
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