Short Interest
Short squeeze candidates ranked by SI/float, days to cover, and borrow fees
Open in AppOverview
Short Interest tracks heavily shorted stocks to identify potential short squeeze candidates. It analyzes short interest metrics including SI/Float ratio, days to cover, borrow fee rates, and combines them into a squeeze probability score.
Key Metrics
| Metric | Description | What to Watch |
|---|---|---|
| SI/Float % | Percentage of float shares sold short | Above 15% is considered high |
| Days to Cover | Trading days to close all short positions at avg volume | Above 5 days signals crowded short |
| Borrow Fee | Annualized cost to borrow shares for shorting | High fees indicate scarce shares |
| Squeeze Score | Composite metric combining all short interest factors | Higher = more squeeze factors aligned |
How to Use
- ●Sort by Squeeze Score to find the most squeeze-prone stocks
- ●High SI/Float combined with high Days to Cover indicates maximum squeeze potential
- ●Monitor borrow fee trends; rising fees suggest increasing short pressure
- ●Cross-reference with volume data to identify potential squeeze triggers
Warning
Short squeeze plays carry significant risk. These are high-volatility situations that can move sharply in either direction. This data is informational only.
Combining with Other Tools
- ●Cross-reference with Volume Alerts — sudden volume spikes on high-SI stocks may indicate a squeeze beginning
- ●Check Options Flow for unusual call buying on squeeze candidates — call sweeps can accelerate squeezes via gamma
- ●Use Dark Pool data to see if institutions are quietly accumulating shares of heavily shorted stocks
- ●Monitor Hot Options for puts being closed (short covering on the options side)
This platform provides data and analysis tools for educational and informational purposes only. Nothing on this platform constitutes financial advice, investment recommendations, or solicitation to buy or sell any securities. Always conduct your own research and consult with a qualified financial advisor before making investment decisions.