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TEAM

NSPP: News-Based Stock Price Prediction

Nasimeh Heydaribeni, Mahdi Soleymani

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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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