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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.
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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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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