📂 WEDNESDAY – Sector Scanner: “Early Earnings Winners vs Losers Map”

By mid-week, early earnings results begin setting the tone. Certain sectors consistently outperform in the opening weeks of earnings season, while others struggle regardless of individual beats.

Today’s Intel Drop maps sectors based on early-season earnings dynamics, helping you position where follow-through is more likely.

Use this to align with sector-level momentum, not isolated headlines.

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 Winners vs Losers” sector map as of January 14, 2026.

Goal:
Identify sectors that historically outperform or underperform during the first 2–3 weeks of earnings season.

Process:

1) Sector Review
For each major sector:
- Historical early-earnings performance
- Sensitivity to guidance vs headline beats
- Macro and rate exposure
- Valuation positioning entering earnings

2) Scoring
Assign each sector:
- Early Earnings Strength Score (1–5)
- Earnings Risk Score (1–5)

3) Build a SECTOR MAP TABLE:
- Sector
- Strength Score
- Risk Score
- Typical Early-Season Behavior
- Example Stocks Reporting Soon

4) Identify:
- 2–3 sectors likely to see follow-through buying
- 1–2 sectors prone to disappointment or selling

Finish with:
- How sector context amplifies earnings results
- How to avoid stock-specific noise

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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