Faculty Mentor/s:  Patrick Zoro, Finance


Students on the team this summer: 

Odilon Niyomugabo -  2021 – UG - Industrial & Systems Engineering

Eric Meskin - 2021 – UG - Finance

Delton Tschida - 2021 – UG - Finance / Industrial & Systems Engineering

Shiqi Liu -  2021 – UG - Statistics

Andrew Park - 2021 – UG - Bioengineering


Project Description: The goal of this project is to build a software with customer interface to detect whether or not the stock that a user has selected is a “falling knife.” If the stock is a falling knife, how far is the fall, and when will it go back up to its previous price level? Students will understand what a falling knife is, how to find these falling knives, and to teach machine learning the pattern of them. Lastly, students will build the base model on findings and back test its accuracy. Currently the project uses Technical Analysis to identify those short term (days, weeks) falling knives with MACD, RSI, EMA, and the fall duration. The team will cross check the S&P 500 for the past 30 years to see if findings hold, and use fundamental analysis and financial matrices to identify what counts as a long term (Months, years) falling knife. To see more about the project, see a 30-minute video from Masters in Financial Engineering students, here.  


Month/Year Project Began:JUNE 2020