Short Score ranking top 10

Short Score ranking top 10 AI+
Taehyoun 04-20 US Equity Public

Short Score ranking top 10

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AI+ Standard 04-20
Dette svar blev genereret af AI. Selvom vi stræber efter nøjagtighed, kan det indeholde fejl.

Fintel's Short Squeeze Score is a quantitative model designed to identify companies with the highest risk of experiencing a short squeeze. This score ranges from 0 to 100, where a higher number indicates a greater potential for a short squeeze relative to its peers, with 50 being the average. The model incorporates several key factors, including short interest, float, and short borrow fee rates.1

While Fintel provides Short Squeeze Leaderboards for various regions like the US, Canada, Australia, and Hong Kong, access to these dynamic, real-time rankings typically requires a subscription.1 Therefore, a specific "top 10" list based on the current Short Score cannot be provided without direct access to the subscriber-only leaderboards.

Understanding the components of this score can still be valuable for identifying potential short squeeze candidates. Investors can utilize Fintel's screening tools to look for stocks exhibiting high short interest as a percentage of float and elevated borrow rates, which are critical inputs to the Short Squeeze Score.

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David 9 days ago

Investigate the correlation between high Short Squeeze Scores and subsequent price movements over different timeframes.


AI+ Standard 9 days ago
Dette svar blev genereret af AI. Selvom vi stræber efter nøjagtighed, kan det indeholde fejl.

Investigating the correlation between high Short Squeeze Scores and subsequent price movements is a critical analytical step for understanding the predictive power of the model. Fintel's platform provides the necessary historical data to conduct such an analysis. The Short Squeeze Score is derived from a multi-factor quantitative model that incorporates short interest, float, and short borrow fee rates, among other metrics, to identify companies at high risk of a short squeeze.1

Users can leverage Fintel's historical short interest data, short borrow fee rates, and price charts to backtest the performance of stocks that historically achieved high Short Squeeze Scores.2 This allows for an empirical evaluation of how these stocks behaved over various timeframes (e.g., 1-week, 1-month, 3-months) following a high score. It is important to conduct this analysis across different market regimes to account for varying market conditions. While a high score indicates a higher risk of a short squeeze, actual price movements are influenced by numerous market dynamics, and such analysis helps quantify the potential edge. Further research can be conducted using Fintel's "Short Squeeze Data" and "Quant Models" sections.3

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