Automated equity valuation and investment opportunity alerts: full stack minimum viable product application development

Abstract

This thesis explores the iterative planning and execution of a time-constrained project aimed at developing a full-stack MVP application. The research investigates methodologies and tools for iterative software development, focusing on professional software development skills enhancement. A detailed diary reporting structure outlines the project's progression over five weeks, highlighting key activities, such as project setup, financial valuation method determination, hardware and tech stack setup, data querying, and app deployment. The study concludes with a discussion of learnings from the project, implications of findings, and recommendations for further improvements and research. The author reflects on the decision-making process and proposes new research paths and questions based on the project's development and documentation. Additionally, the suitability of the chosen technological stack from a User Experience perspective is evaluated. This research contributes to the understanding of iterative software development processes and provides insights for future projects in the field.