Monitor squeeze risk in real time. Track borrow rate spikes, share availability collapses, and short interest surges across your entire book — before retail traders pile in.
Most managers see the squeeze after it starts. By then the damage is done — and the cost of covering is 10x what it was a week ago.
When cost-to-borrow jumps from 5% to 80% in days, your position economics flip negative. Spot the inflection point early with daily fee tracking across brokers.
Shares available to borrow dropping from millions to thousands is the clearest leading indicator of a squeeze. Track this before your prime broker calls.
When short interest ratio climbs above 20% and days-to-cover extends, the setup for a violent squeeze is complete. Know where you stand relative to the crowd.
Retail communities target heavily shorted stocks. When volume surges on a high-SI name, the feedback loop begins. Our data shows you who's in the crosshairs.
The same dataset powers both risk management and alpha generation.
Get early warnings when the conditions for a squeeze are building on stocks in your book.
Screen for stocks where the borrowing environment is favorable and the short thesis has room to run.
Built by traders, for traders. No fluff — just the data points that matter.
FINRA-sourced short volume and bi-monthly short interest data updated daily. Covers all major exchanges.
Track borrow fee changes over time. See fee spikes forming days before they become critical to your PnL.
Monitor available shares to borrow in near real-time. Spot inventory squeezes before your prime broker does.
Filter by short interest %, days to cover, borrow fee, market cap, volume, and more. Find exactly the setups you're looking for.
Full historical data on short interest, borrow rates, and availability. Backtest squeeze conditions and validate your models.
Visualize short interest trends alongside borrow rates and availability. Zoom, compare, and overlay data across time periods.
This is a preview of the kind of screening you can do. Sign up to access the full dataset with filtering and historical analysis.
| Ticker | Short % Float | Borrow Fee | Fee Δ 7d | Shares Avail. | Days to Cover | Squeeze Risk |
|---|---|---|---|---|---|---|
| EXMP | 42.3% | 187.5% | +312% | 15,000 | 8.2 | Critical |
| SMPL | 28.7% | 64.2% | +89% | 125,000 | 5.1 | High |
| DEMO | 19.5% | 22.8% | +15% | 450,000 | 3.4 | Medium |
| TEST | 8.2% | 3.1% | -5% | 2,800,000 | 1.2 | Low |
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