Detection of buying and selling points on stock exchange with a simulation software

OData support
Supervisor:
Dr. Forstner Bertalan
Department of Automation and Applied Informatics

Nowadays, the benefits of information and communication technologies (ICT) have been utilized substantially by the stakeholders of stock market thanks to the spectacularly increasing information flow that passes through the market day by day. In order to be able to react to the changed circumstances in proper time, exchange robot software are used in many cases. The robot programs provide solutions to handle the changes quickly and - as far as possible - efficiently on the basis of multi-criteria decision algorithms.

My thesis is focusing on a simulation software which creates an efficient environment to evaluate trading algorithms and is able to visualize the results using user-friendly interface. The proposed application can handle large amount of data, run optimized simulation processes and store the simulation results in a way that it is easy for the user to interpret them. My thesis basically covers the design, implementation and validation of the aforementioned simulation software.

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