short-squeeze-scanner

To find short squeeze candidates, screen publicly traded stocks using current short interest, borrow rates, and days to cover data. This scanner analyzes volume behavior and recent catalysts to generate a squeeze probability score for watchlists.

Screening for short squeeze candidates requires market data like short interest, borrow rates, days to cover, and volume activity. The scanner sources this automatically from yfinance, alphavantage, and search APIs to enforce data freshness.

Yes, you can export short squeeze watchlists to a trading dashboard. The scanner outputs a structured JSON file conforming to a provided schema, designed specifically for integration with dashboards and trading notebooks.

A short squeeze scanner verifies catalysts by searching recent news and events, then combining them with options activity and high short interest metrics. This process generates a squeeze probability score with near-term timing.

Yes, the short interest scanner works with a custom watchlist. You can run the scanner against your specific list of publicly traded stocks to generate targeted JSON output of top short squeeze candidates.

Scanning for short squeeze stocks relies on fresh market data and meaningful catalysts, but cannot predict exact squeeze execution. It enforces citation rules and data freshness but remains an event-driven probability tool, not a guarantee.