Embarking on the DBA Journey: Progress and Passion in Algorithmic Trading Research

I wanted to share an exciting update on my academic journey. Recently, I passed a significant milestone in my doctorate program—a module titled "Progression to DBA Research Stage." This module has propelled me into the next phase of my studies, where I will be diving deep into my DBA thesis. As a passionate researcher in the field of algorithmic trading, I am thrilled to have the opportunity to explore this captivating subject further. In this blog post, I will discuss my research proposal, the progress made thus far, and my anticipated path for the next three years. As part of the module mentioned above, I had the chance to craft a comprehensive research proposal. Titled "Research Proposal for Algorithmic Trading," this document lays the foundation for my DBA thesis. It outlines the core concepts, objectives, and methodology that will shape my research in the coming years.

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Acquisition of Quantitative Finance Data: R Shiny & WordPress Integration

In 2020, Raúl Bartolomé developed a prototype for financial data acquisition and visualization, combining the R Shiny framework with WordPress integration. The project demonstrated how researchers can interactively explore financial time series through a web interface, bridging data science and finance. Although the live app was later replaced by a static example, the project remains a valuable teaching tool in Raúl’s research on quantitative finance and algorithmic trading.

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