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Use Machine Learning to Predict Future Market Prices
Klhůfek, Michal ; Trchalík, Roman (referee) ; Holkovič, Martin (advisor)
This thesis discusses a market prediction system based on the data obtained from the historic tranzaction. The main goal was to use the techniques of technical analysis to create a more accurate estimation of market behavior in the future. The data obtained from the current state of the market are compared with the historical market values using the algorithms for the classification of data from the field of learning. Based on individual algorithms, the software was designed to try to match the two sets of data as closely as possible. Testing took place on a dataset that represented the past market enthusiasm, and how much the overall system is performing.
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Use Machine Learning to Predict Future Market Prices
Klhůfek, Michal ; Trchalík, Roman (referee) ; Holkovič, Martin (advisor)
This thesis discusses a market prediction system based on the data obtained from the historic tranzaction. The main goal was to use the techniques of technical analysis to create a more accurate estimation of market behavior in the future. The data obtained from the current state of the market are compared with the historical market values using the algorithms for the classification of data from the field of learning. Based on individual algorithms, the software was designed to try to match the two sets of data as closely as possible. Testing took place on a dataset that represented the past market enthusiasm, and how much the overall system is performing.
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The use of technical analysis in trading on stock markets
VILČEK, Ondřej
The subject of this thesis is a technical analysis as a specific method for prediction of the future trend of equities. The topic is introduced by an analysis of investment opportunities in markets in the Czech Republic and in the world, by a comparison of analytical methods. The main part consists of exploration and description of selected indicators of technical analysis. On their basis business strategies are created and reflected in automated trading systems. These strategies are subject of testing on historical data and of subsequent optimization to maximize potential profitability. The results of testing are summarized and evaluated in the final phase of this thesis that also analyzes advantages and shortcomings of the technical analysis and gives an idea for further investigation.
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Evaluation of business strategies in commodity markets
PALAMARČUK, Igor
This thesis is focused on the evaluation of trading strategies for trading in commodity markets. To meet the objectives of this work were selected three technical indicators: Stochastic oscillator, RSI and CCI indicator. These indicators were applied to trade in three selected commodities: corn, rice and wheat. Subsequently was evaluated an application of the indicators on the selected commodities.
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