📂 WEDNESDAY – Sector Scanner: “Macro Sensitivity Heat Map”

As earnings noise fades, macro drivers reassert themselves. Rate expectations, inflation data, and economic releases begin steering sector performance again.

Today’s Intel Drop maps macro sensitivity by sector, identifying where exposure is concentrated ahead of March data releases.

Use this to align with — or hedge against — macro regime shifts.

💡PROMPT TEXT:

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

You are building a “Macro Sensitivity Heat Map” by sector as of February 25, 2026.

Goal:
Identify which sectors are most sensitive to rate changes, inflation, and economic surprises.

Process:

1) Sector Review
For each major sector:
- Beta vs interest rate changes
- Sensitivity to inflation expectations
- Cyclical vs defensive classification

2) Macro Drivers
- Revenue exposure to economic growth
- Margin exposure to input costs
- Balance sheet rate sensitivity

3) Build a MACRO HEAT MAP TABLE:
- Sector
- Rate Sensitivity (1–5)
- Inflation Sensitivity (1–5)
- Growth Sensitivity (1–5)
- Net Macro Risk Bias
- Example Stocks

4) Identify:
- 2–3 sectors most vulnerable to macro surprises
- 2–3 sectors likely to remain stable

Finish with:
- Why macro sensitivity rises post-earnings
- How to rebalance intelligently ahead of data releases

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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