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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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