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This project aims to analyze the GameStop event that occurred on the Reddit community r/WallStreetBets in January 2021, where a coordinated effort by retail investors drove a massive short squeeze on GameStop (GME) stock. We utilize large language models (LLMs) to gain insights into the dynamics of this event and the impact of online communities on real-world financial markets.
The GameStop event highlighted the potential influence of online communities and social media on financial markets, demonstrating the power of coordinated retail investor actions. Our goal is to leverage the capabilities of large language models to understand the underlying factors that contributed to this event, including the flow of information, user activities, and sentiment within the r/WallStreetBets community.
GameStop: how Reddit amateurs took aim at Wall Street’s short-sellers https://www.theguardian.com/business/2021/jan/28/gamestop-how-reddits-amateurs-tripped-wall-streets-short-sellers
Researchers show Reddit users caused the famous GameStop 'short squeeze' https://phys.org/news/2024-02-reddit-users-famous-gamestop-short.html
The causal role of the Reddit collective action on the GameStop short squeeze https://arxiv.org/abs/2401.14999
Community-Affiliation Graph Model for Overlapping Network Community Detection https://cs.stanford.edu/people/jure/pubs/agmfit-icdm12.pdf