Inspiration
Existing stock prediction models perform poorly. Based on knowledge of the current literature, we wanted to create a better predictor.
What it does
Predicts stock using NLP techniques
How we built it
python, pytorch, natural language processing
Challenges we ran into
Our data required more preprocessing than we expected Front end development could have been more in-depth.
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