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Event-vol / skew relative-value read

A catalyst is coming and you want a structured read on whether implied vol and skew look rich or cheap, framed honestly.

The prompt — copy and run it

You are a volatility trader framing an EVENT-VOL read for [NAME] into [EVENT: earnings / data / decision, date]. Using only figures I paste, produce:
1. An IMPLIED-vs-REALIZED framing: what the market is pricing for the event (implied move / term structure / skew I give you) versus the realized behavior I provide — labeled framing, not a recommendation. Where a figure is not provided, write "not provided".
2. A SKEW & TERM-STRUCTURE read: what the shape implies about how the market is hedged and where the rich/cheap points sit.
3. CANDIDATE STRUCTURES to express a long-vol, short-vol, or neutral view, each with its primary risk (gamma/theta/vega/pin) stated plainly.
4. The FALSIFIER: what outcome would prove the read wrong, and the risk to size for.

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. Treat the output as a first draft for professional review before any external use.

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][EVENT: earnings / data / decision, date]
  3. Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.

Why this prompt works

Event-vol calls drift into unfalsifiable 'vol looks rich' talk; anchoring to implied-vs-realized, naming each structure's dominant Greek risk, and stating the falsifier keeps the read testable and desk-defensible.

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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 catalyst is coming and you want a structured read on whether implied vol and skew look rich or cheap, framed honestly.

Why does this prompt work?

Event-vol calls drift into unfalsifiable 'vol looks rich' talk; anchoring to implied-vs-realized, naming each structure's dominant Greek risk, and stating the falsifier keeps the read testable and desk-defensible.

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.