By Cooper Chasse Faculty Mentor: Dr. Jeff Solka Abstract This project presents a machine learning pipeline for predicting daily stock returns of sports-sector companies, using Nike (NKE) as the primary case study. The pipeline combines traditional price-based technical features with four natural language processing (NLP) sentiment signals: general news sentiment sourced from the GDELT news…