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National Repository of Grey Literature

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	Algorithmic Trading Using Artificial Neural Networks Červíček, Karel ; Glembek, Ondřej (referee) ; Szőke, Igor (advisor) Forex is the biggest foreign exchange market. Thanks to high liquidity it is a good candidate for intraday trading with certain trading strategies based on technical and fundamental analysis.Trading strategies can be proposed for automatic algorithmic trading.Strategy in this article is designed with a neural network that holds positions as approximator of time series data based on the exchange rate, which can predict the future. Detailed record
	Algorithmic Trading Using Genetic Algorithms Červíček, Karel ; Černocký, Jan (referee) ; Szőke, Igor (advisor) p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Helvetica} Automatization is higly used in stock traiding. The thesis try to exploid optimalization principles and machine learning. Developed and tested stock traiding system proces financial time series and generate optimal strategy Detailed record
	Algorithmic Trading Using Machine Learning Červíček, Karel ; Herout, Adam (referee) ; Szőke, Igor (advisor) Automatization is higly used in stock traiding. The thesis try to exploid optimalization principles and machine learning. Developed and tested stock traiding system proces financial time series and generate optimal strategy Detailed record
	Algorithmic Trading Using Machine Learning Červíček, Karel ; Herout, Adam (referee) ; Szőke, Igor (advisor) Automatization is higly used in stock traiding. The thesis try to exploid optimalization principles and machine learning. Developed and tested stock traiding system proces financial time series and generate optimal strategy Detailed record
	Algorithmic Trading Using Genetic Algorithms Červíček, Karel ; Černocký, Jan (referee) ; Szőke, Igor (advisor) p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Helvetica} Automatization is higly used in stock traiding. The thesis try to exploid optimalization principles and machine learning. Developed and tested stock traiding system proces financial time series and generate optimal strategy Detailed record
	Algorithmic Trading Using Artificial Neural Networks Červíček, Karel ; Glembek, Ondřej (referee) ; Szőke, Igor (advisor) Forex is the biggest foreign exchange market. Thanks to high liquidity it is a good candidate for intraday trading with certain trading strategies based on technical and fundamental analysis.Trading strategies can be proposed for automatic algorithmic trading.Strategy in this article is designed with a neural network that holds positions as approximator of time series data based on the exchange rate, which can predict the future. Detailed record

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