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Stock Portfolio Optimization

Student: Kovalenko Maksim

Supervisor: Elena Kantonistova

Faculty: Faculty of Computer Science

Educational Programme: Machine Learning and Data-Intensive Systems (Master)

Final Grade: 8

Year of Graduation: 2024

The main task of the thesis is to develop an application for creating and optimizing stocks portfolio, stocks exchange monitoring, providing information for stocks trading. The first part focuses on available technical tools review, which necessary for developing the app. Most popular from modern solutions are analyzed. The second part aims to describe developing process: the chosen tech stack, specific tools description and reasons why the mentioned tools have been chosen. Also quantitative measures are presented. The third part focuses on app using approaches, interface elements, analysis tools and ways to implement them.

Full text (added June 3, 2024)

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