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Algorithmics to Support Decision-making in Financial Markets
Kvapil, Juraj ; Budík, Jan (referee) ; Dostál, Petr (advisor)
The diploma thesis is focused on area of algorithmic trading. The main focus in this thesis is aimed towards algorithmic solution to arbitrage trading scheme. This system can be categorized as a high frequency trading system that can trade almost risk free in case that ideal technical conditions are met. Model in this thesis is backtested on cryptocurrency Bitcoin, the reason for that is balance between asset liquidity and amount of opportunities that occur on markets for this trading model. System can be used as well on other instruments that have similar characteristics. The main use case for this tool is to provide real time information for trader about occurring opportunities. Used software core has also ability to place automated trading orders based on results of analysis.
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Evaluation of Investment Risks Using Fuzzy Logic
Žáček, Jakub ; Janková, Zuzana (referee) ; Dostál, Petr (advisor)
The diploma thesis deals with the evaluation of an investment using fuzzy logic for a specific company. With the help of the created decision-making models, the company will be able to efficiently and quickly evaluate which investment brings the highest benefit. These models follow the criteria that are most important to the company when deciding on an investment. The work also contains theoretical background, which serves as a basis for creating and evaluating models.
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The Use of Artificial Intelligence for Decision Making
Nezbedová, Katarína ; Pekárek, Jan (referee) ; Dostál, Petr (advisor)
This bachelor thesis deals with the Tamari attractor problem and its application for forming a prediction model. The core of the work is to create a simulation program in the MATLAB development environment and to use it to create and compare several case studies of a predictive model based on different parameters. This model is graphically illustrated and supplemented by economic interpretation.
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The Use of Artificial Intelligence to Reduce Risk in the Company
Smija, Jakub ; Janková, Zuzana (referee) ; Dostál, Petr (advisor)
The diploma thesis deals with the analysis and subsequent evaluation of selected commercial vehicle models from individual manufacturers, using artificial intelligence methods. The introductory chapters focus on the basics of risk science, fuzzy logic and software tools, their purpose is to acquaint readers with the issues addressed. The analytical part of the work contains a description of the selected company and also an introduction of specific suppliers. The main part contains decision criteria for the selection and also a description of the actual solution of the assignment. More specifically, two decision models based on fuzzy logic, which were created using MS Excel and MATLAB. In the end, the results from both models are compared, including the interpretation of the obtained results.
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