Faculty Mentor/s:
Professor Patrick Zoro
Students on the team:
Project Description:
This project seeks to develop a pioneering event-driven algorithmic trading strategy by analyzing real-time SEC 8-K reports and supplemental disclosures using a combination of machine learning techniques and the FinGPT framework. Students from finance, computer science, and engineering fields will collaborate to replicate established findings, enhance data extraction processes, and apply predictive analytics to model financial events effectively. The goal is to demonstrate how AI can transform financial analysis and forecasting, offering substantial advancements in algorithmic trading strategies and providing valuable insights for investment analysts.
Month/Year Project Began: