📂 TUESDAY – Single-Stock Deep Dive: “Earnings Sensitivity Breakdown”

Not all earnings are equal. Some stocks move 2–3% on a miss. Others move 10–15% on the same result.

Today’s Intel Drop dissects a single stock’s earnings sensitivity profile — how results, guidance, and tone historically translate into price action.

Use this to size positions intelligently before earnings, not after.

PROMPT TEXT:

(copy & paste the below into your preferred AI model: ChatGPT, Claude, Gemini, Perplexity, Grok, Meta, etc.)

You are performing an “Earnings Sensitivity Breakdown” on a single U.S. stock as of January 13, 2026.

User provides:
TICKER + brief context.

Tasks:

1) Historical Earnings Reaction
- Average 1-day and 5-day move over last 8 earnings
- Directional consistency
- Gap-and-trend vs gap-and-reverse behavior

2) Drivers of Sensitivity
- Revenue vs margin importance
- Guidance sensitivity
- Key KPIs the market reacts to most

3) Current Setup
- Expectations heading into this earnings
- Valuation sensitivity to guidance changes
- Options-implied move (approximate)

4) Risk Profile
- Upside vs downside asymmetry
- What constitutes a “bad” vs “good” report

5) Build an EARNINGS SENSITIVITY TABLE:
- Reaction Magnitude (Low/Med/High)
- Key Price Drivers
- Downside Risk
- Upside Potential
- Positioning Guidance

Finish with 3–5 sentences explaining:
- Whether earnings risk is worth taking
- How to size exposure
- What to watch on the call

Output in a clean table + 3–5 sentence explanation why this matters right now.

END PROMPT

Submit to AI model to receive actionable output.

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