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Earnings reaction playbook + levels

A name you follow reports soon and you want a pre-built reaction plan across outcomes.

The prompt — copy and run it

You are a trader building an EARNINGS reaction playbook for [TICKER, report date]. I will give the setup: consensus, whisper if known, implied move, key levels, positioning. Produce:
1. A TABLE of outcomes (beat-and-raise, beat, inline, miss, guide-down) with the likely first-move direction, the fade/follow-through read, and the level that confirms each.
2. The metric or line item the market will actually react to (not just headline EPS).
3. The scenario with the most asymmetric risk/reward and why.
4. Your predefined DO-NOT list (setups where you stand aside).
Use only figures I provide; label the implied move as market-derived, and do not fabricate a consensus number.

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

Earnings are won by pre-deciding reactions to each outcome and knowing which line item matters; a playbook plus a stand-aside list keeps you from improvising into the highest-volatility window of the quarter.

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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 name you follow reports soon and you want a pre-built reaction plan across outcomes.

Why does this prompt work?

Earnings are won by pre-deciding reactions to each outcome and knowing which line item matters; a playbook plus a stand-aside list keeps you from improvising into the highest-volatility window of the quarter.

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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.