Insights

The media short squeeze score

The media short squeeze score

Retail investors are rewriting the rules of equity markets — driving meme stock surges and fueling short squeezes that even seasoned institutions struggle to predict.

November 2025

Travis Whitmore
Head of AI and Trading Analytics,
State Street Associates

Junming Cui
Quantitative Researcher,
State Street Associates

Gideon Ozik
Managing Partner,
Founder of MediaStats

Ronnie Sadka
Managing Partner,
Founder of MediaStats

Michael Guidi
Head of Alternative Data,
State Street Associates

The meme stock phenomenon remains a persistent force in equity markets, with retail investors continuing to exert significant influence – particularly in the small-cap segment.

While it has been several years since the first GameStop phenomenon in 2021, an important question remains: How can institutional investors systematically identify potential retail-driven short squeeze events? In this article, we introduce a framework that integrates proprietary and alternative data to identify retail-driven short squeeze risks.

Specifically, we combine securities lending market data from S&P Global with proprietary measures of digital media sources and Reddit-based social media chatter – including emoji sentiment and short squeeze intensity.
 

Key findings

  • Our findings show that the traditional digital media sentiment and Reddit chatter – which we term the “Media Short Squeeze Score” – can provide insights into retail investor activity.
  • A historical analysis finds stocks identified as top short squeeze candidates (“Alert”) using this framework observed an average maximum price increase of ~33 percent over the following month.
  • We introduce a framework to combine the Media Short Squeeze Score with securities lending data that successfully flagged historical short squeezes in names like GameStop, Carvana, Opendoor Technologies and Rocket Lab USA.
  • We examine a measure called “draw up,” defined as the maximum return from the price over the next 20 trading days, in excess of market returns.

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