📂 WEDNESDAY – Sector Scanner: “Early Earnings Season Positioning Map”

As earnings season approaches, capital quietly shifts before reports hit the tape. Certain sectors historically attract early positioning, while others are sold ahead of risk.

Today’s Intel Drop maps sectors for pre-earnings accumulation vs avoidance, helping you anticipate where money moves first.

Use this to get ahead of earnings-season rotations.

PROMPT TEXT:

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

You are building an “Early Earnings Season Positioning Map” as of January 7, 2026.

Goal:
Identify sectors likely to see early positioning ahead of Q4 earnings season.

Process:

1) Sector Review
For each major sector:
- Q4 performance vs S&P 500
- Earnings surprise history
- Sensitivity to macro and rates
- Valuation vs 5-year history

2) Positioning Signals
- Signs of accumulation or de-risking
- Analyst estimate revision trends
- Historical pre-earnings behavior

3) Build a SECTOR POSITIONING TABLE:
- Sector
- Earnings Sensitivity
- Early Positioning Bias (Accumulating / Neutral / Avoiding)
- Valuation Context
- Typical Earnings Reaction
- Example Stocks

4) Identify:
- 2–3 sectors likely to see early inflows
- 1–2 sectors likely to face pre-earnings selling

Finish with:
- How early positioning differs from post-earnings reactions
- How to avoid chasing earnings headlines

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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