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Short-interest & squeeze-risk read

A crowded short or a sharp move has you wanting a structured squeeze-risk read before you add, trim, or message clients.

The prompt — copy and run it

You are a trader assessing SQUEEZE / CROWDING RISK in [NAME]. Using only data I paste (short interest, days-to-cover, borrow rate/availability, float, options positioning, recent move), produce:
1. A CROWDING read: what each metric says and its limitation — no metric I did not give you.
2. A SQUEEZE-CONDITIONS map: the specific catalysts that could force covering (borrow recall, gamma, index/flow, news) and what would DEFUSE the setup.
3. A TWO-SIDED framing: the bull-squeeze case and the reason the short is crowded for a real reason — do not let one metric decide it.
4. The RISK to size for and the level/condition that changes the read.

Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it. Mark every claim I should verify externally before relying on it. Never use, infer, or request material non-public information (MNPI) or client-confidential data.

How to use this prompt

  1. Copy the full prompt above with the Copy button.
  2. Fill in your inputs. Replace each bracketed placeholder with your specifics: [NAME]
  3. Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.

Why this prompt works

Squeeze calls are classic cherry-picks — one scary short-interest number becomes a thesis; forcing every metric's limitation, a defuse path, and a genuine two-sided view keeps the read balanced instead of a hype trade.

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Reality guardrail: this prompt makes the model reason from data you paste — it does not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

Frequently asked

When should I use this prompt?

A crowded short or a sharp move has you wanting a structured squeeze-risk read before you add, trim, or message clients.

Why does this prompt work?

Squeeze calls are classic cherry-picks — one scary short-interest number becomes a thesis; forcing every metric's limitation, a defuse path, and a genuine two-sided view keeps the read balanced instead of a hype trade.

What mistake does this prompt help you avoid?

PF05

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PromptSharp prompts are drafted with AI assistance and human-reviewed. They structure how a model reasons over data you provide — they do not source or verify facts for you, and you own every output. Nothing here is financial, legal, tax, or investment advice. Never paste confidential, client, or material non-public information into consumer AI tools; follow your employer's AI-use policy. © 2026 PromptSharp.