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TEAM
NSPP: News-Based Stock Price Prediction
Nasimeh Heydaribeni, Mahdi Soleymani
In this project, we intend to investigate whether or not the news headlines and abstracts are good predictors of stock prices. We intend to use open large language models to extract the useful features of the news to then apply various regression methods on them.
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