  Python was used to download and format NewsAPI article data relating to 400
publicly traded, low cap. Biotech companies. Crowd-sourcing was used to label a
subset of this data to then train and evaluate a variety of models to classify
the public sentiment of each company. The best performing models were then used
to show that trading entirely off public sentiment could provide market beating
returns.
