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Prediction of Prices in Stock Exchange Trading
Mikulenčák, Roman ; Szőke, Igor (referee) ; Černocký, Jan (advisor)
The work deals with an automatic trading system and adaptive training. Is used both technical and automatic fundamental analyses, therefore as inputs to the neural network is used historical data exchanges and text data from reports. It explains the basics of trading, technical analysis and technical terms. The work deals with technical and fundamental analysis. It contains a description of algorithmic nature, program implementation and experiment with developed trading system. The selected strategy is compared to other approaches.
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Electronic Trading
Mikulenčák, Roman ; Szőke, Igor (referee) ; Černocký, Jan (advisor)
The work deals with an automatic trading system with recognition of candle formations using linear classification with adaptive training od weights. It explains the basics of trading, technical analysis and technical terms. It contains a description of algorithmic nature, program implementation and experiment with developed trading system. The selected strategy is compared to other approaches.
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Stock Prediction Using Artificial Neural Networks
Putna, Lukáš ; Grézl, František (referee) ; Szőke, Igor (advisor)
This work deals with the usage of neural network for the purpose of stock market prediction. A basic stock market theory and trading approaches are mentioned at the beginning of this work. Then neural networks and their application are discussed with their deeper description. Similar approaches are referred and finally two new prediction systems are designed. These systems are utilized by proposed trading model and tested on selected data. The results are compared to human and random trading models and new development steps are devised at the end of this work.
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Prediction of Prices in Stock Exchange Trading
Mikulenčák, Roman ; Szőke, Igor (referee) ; Černocký, Jan (advisor)
The work deals with an automatic trading system and adaptive training. Is used both technical and automatic fundamental analyses, therefore as inputs to the neural network is used historical data exchanges and text data from reports. It explains the basics of trading, technical analysis and technical terms. The work deals with technical and fundamental analysis. It contains a description of algorithmic nature, program implementation and experiment with developed trading system. The selected strategy is compared to other approaches.
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