Fundamental stock analysis with LLMs and qualitative data: development of a vector database for company reports
This project explores the use of natural language processing techniques, specifically Large Language Models (LLMs), for fundamental stock analysis by leveraging qualitative data in corporate financial reports and disclosures. It addresses the challenge of information overload faced by retail inve...
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| Format: | Final Year Project / Dissertation / Thesis |
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2025
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| Online Access: | http://eprints.utar.edu.my/7241/1/fyp_CS_2025_TJJ.pdf http://eprints.utar.edu.my/7241/ |
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