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Using artificial intelligence to automate trading
Čermák, František ; Hůlka, Tomáš (referee) ; Matoušek, Radomil (advisor)
This thesis deals with the use of artificial intelligence for automating stock trading. The main objective was to investigate current technologies applied in algorithmic trading and then to design and develop an automated trading system using artificial intelligence. The work focuses on various aspects of algorithmic trading, including high frequency trading, cloud solutions, machine learning, blockchain and smart contracts. It also explores the applications of AI in trading, such as predictive analytics and natural language processing, and discusses the ethical and regulatory challenges associated with this technology. The design and development of an automated trading system is described in detail, including system architecture, choice of programming languages and tools, and implementation of trading algorithms. The results show that the use of artificial intelligence can significantly increase the efficiency and accuracy of stock trading, but technological and ethical risks must be considered. This thesis makes a significant contribution to research in the field of algorithmic trading and provides a foundation for further research in optimizing trading algorithms and integrating new technologies.
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Fuzz Testing of Applications Communicating via the OData Protocol
Mjachky, Ľuboš ; Fiedor, Tomáš (referee) ; Vojnar, Tomáš (advisor)
Delivering stable and reliable software to customers is difficult. Applications are prone to errors, regardless of the experience level of the developers. Automated testing methods and tools are heavily used in all phases of development life-cycle to reduce chances of bugs escaping to the users. The goal of this thesis is to design an intelligent and automated testing tool which is able to test business applications. A mishandled action performed within such an application may cause a failure with disastrous consequences. To simulate these actions, one can use testing where test cases contain invalid or random data. This testing technique is called fuzzing or fuzz testing, and it involves providing malformed or mutated data as an input to the program. The proposed tool, namely ODfuzz, is a fuzzing tool ready to test applications communicating via the OData protocol which is a protocol built on existing HTTP and REST methodologies. ODfuzz is generating and fuzzing requests that are to be sent to the server. The requests contain mutated data that pass through various code paths and may result into an application error. ODfuzz was used to test back-end modules of modern SAP applications written in the ABAP language.
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Fuzz Testing of Applications Communicating via the OData Protocol
Mjachky, Ľuboš ; Fiedor, Tomáš (referee) ; Vojnar, Tomáš (advisor)
Delivering stable and reliable software to customers is difficult. Applications are prone to errors, regardless of the experience level of the developers. Automated testing methods and tools are heavily used in all phases of development life-cycle to reduce chances of bugs escaping to the users. The goal of this thesis is to design an intelligent and automated testing tool which is able to test business applications. A mishandled action performed within such an application may cause a failure with disastrous consequences. To simulate these actions, one can use testing where test cases contain invalid or random data. This testing technique is called fuzzing or fuzz testing, and it involves providing malformed or mutated data as an input to the program. The proposed tool, namely ODfuzz, is a fuzzing tool ready to test applications communicating via the OData protocol which is a protocol built on existing HTTP and REST methodologies. ODfuzz is generating and fuzzing requests that are to be sent to the server. The requests contain mutated data that pass through various code paths and may result into an application error. ODfuzz was used to test back-end modules of modern SAP applications written in the ABAP language.
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