Find heavily shorted names
Browse the provider category in AI Score order. Ranking first does not mean having the highest short float.
Finance Agent capability
Track Heavily Shorted Stocks Without Treating Short Interest as a Signal to Buy
Pineify Finance Agent retrieves the latest stored Danelfin Top Shorted list for US-listed shares. Names are ordered by provider AI Score, not by the largest short-interest percentage. The cards show scores and recent price performance; they do not display short float, days to cover, or borrow fees.
Opens Finance Agent with a natural-language short-interest research question ready to send.
Finance Agent in actionAI Shorted Stock Rankings
A positioning-aware discovery view
See short-interest context beside the business and market evidence
Danelfin currently defines this category as US-listed stocks with short float above 10% and market capitalization above $1 billion. Those are provider selection criteria; verify the actual short-float value, denominator, and settlement date before comparing two names.
Request page 1 with 20 names by default, up to 50 per request, then retrieve later pages as needed. This tool has no custom short-interest, sector, or borrow-cost filters. Assess the returned page separately from the full category.
Use cases
Ways to use shorted stock rankings
Compare positioning with fundamentals
Review AI, fundamental, technical, sentiment, low-risk, sector, country, and performance context together.
Map squeeze and downside scenarios
Use another source for short float, reporting dates, borrow availability, and fees; the ranking itself cannot supply those checks.
Prompt examples
Short-interest questions you can ask Finance Agent
“Show page 1 of the shorted-stock category with its dataset date. For five names, separate fields returned by this tool from short-float, borrow-cost, and liquidity information still needed.”“Group the returned page by sector and company country. Compare component scores and recent price changes without treating this page as the complete universe.”“Analyze three heavily shorted companies from both long and short perspectives. Separate a possible squeeze scenario from the operating evidence and do not make a trade recommendation.”
FAQ
Questions about AI shorted stock rankings
It returns the provider’s shorted-stock category with price, company country, sector, AI and component scores, and recent price performance. Short-float percentages and borrow data are not shown on these cards.
No. It can signal disagreement or crowding, but a squeeze depends on catalysts, borrow, liquidity, positioning, and market conditions.
No. Reporting dates and provider updates introduce lag, and the native card is a dated snapshot.
No. The source category covers US-listed securities, including companies domiciled elsewhere. Verify the ticker and security type before matching it to other data.
Review filings, fundamentals, float, borrow and liquidity, catalysts, valuation, and both bullish and bearish invalidation points.
No. It is a positioning research view and does not establish direction, expected return, or suitability.
Turn short interest into a balanced risk review
Review the ranking, then verify borrow conditions, fundamentals, catalysts, liquidity, crowded positioning, and downside scenarios.
Open Finance AgentFor informational and research use only. No output is investment advice or a guarantee of future performance.