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Testing of Indicators for Technical Analysis in Stock Market Trading
Kaděra, Miroslav ; Hrubý, Martin (referee) ; Rozman, Jaroslav (advisor)
The topic of this thesis is testing of indicators for technical analysis, done from the point of view of their suitability for automatic stock market trading systems. The thesis tests behaviour of simple moving average, exponential moving average and the RSI indicator. A simple automatic trading system was made for each indicator. Profitability of the system was tested for various parameters of the used indicator. The testing was realized using real historical data of more than ten years historical period. The results show that profitability of the system can be increased by tens of percent. Even though for stable profitable trading the trader should work out a lot of other rules than just indicator parameters.
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Testing of Indicators for Technical Analysis in Stock Market Trading
Melichar, Josef ; Žák, Jakub (referee) ; Rozman, Jaroslav (advisor)
This thesis deals with testing indicators of technical analysis and their behavior with different kinds of market. In this thesis we tested simple moving averages, exponential moving averages, relative strength index indicator, MACD indicator, and stochastic indicator. At the end we tested a combined indicator, and that was stochastic with MACD. We created an automatic trading system for each of these indicators. From the results we can find out, that by optimizing the technical indicators we can get satisfying results by increasing the profitability. Indicators that seemed non-profitable were in fact profitable after the optimization. However testing parameters of indicators of technical analysis alone is not enough to make a stable profit.
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Anomaly detection for stock market trading data
Fusková, Martina ; Kofroň, Jan (advisor) ; Kliber, Filip (referee)
Stock trading is a very complex topic that involves a lot of challenging problems. One of these problems is anomaly detection in trading flow. Real-time anomaly detection in time series is a very complicated task and thus this issue is still open. The aim of this thesis is to research various models and algorithms that can be used for this task and try to find the most fitting ones. We develop models that detect anomalies based on the density properties of the data as well as statistical models and neural networks that detect anomalies based on the comparison of predicted data and actual data. As a result we propose models that can be further researched and used in real-time environment.
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Testing of Indicators for Technical Analysis in Stock Market Trading
Kaděra, Miroslav ; Hrubý, Martin (referee) ; Rozman, Jaroslav (advisor)
The topic of this thesis is testing of indicators for technical analysis, done from the point of view of their suitability for automatic stock market trading systems. The thesis tests behaviour of simple moving average, exponential moving average and the RSI indicator. A simple automatic trading system was made for each indicator. Profitability of the system was tested for various parameters of the used indicator. The testing was realized using real historical data of more than ten years historical period. The results show that profitability of the system can be increased by tens of percent. Even though for stable profitable trading the trader should work out a lot of other rules than just indicator parameters.
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Testing of Indicators for Technical Analysis in Stock Market Trading
Melichar, Josef ; Žák, Jakub (referee) ; Rozman, Jaroslav (advisor)
This thesis deals with testing indicators of technical analysis and their behavior with different kinds of market. In this thesis we tested simple moving averages, exponential moving averages, relative strength index indicator, MACD indicator, and stochastic indicator. At the end we tested a combined indicator, and that was stochastic with MACD. We created an automatic trading system for each of these indicators. From the results we can find out, that by optimizing the technical indicators we can get satisfying results by increasing the profitability. Indicators that seemed non-profitable were in fact profitable after the optimization. However testing parameters of indicators of technical analysis alone is not enough to make a stable profit.
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