📂 THURSDAY – Portfolio Audit: “Hidden Earnings Correlation Risk”

During peak earnings weeks, portfolios don’t blow up from one miss — they blow up when multiple correlated names disappoint together.

Today’s Intel Drop audits your portfolio for hidden earnings correlation, even across different sectors.

Use this to reduce drawdown risk before clustered reports hit.

💡PROMPT TEXT:

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

You are performing a “Hidden Earnings Correlation Risk” audit on a portfolio as of January 29, 2026.

User provides:
Tickers + position sizes.

Tasks:

1) Identify Earnings Correlation Drivers
- Shared revenue drivers
- Shared margin sensitivities
- Shared macro exposure
- Shared valuation regime

2) Build a CORRELATION TABLE:
- Ticker
- Sector
- Weight %
- Earnings Date
- Correlation Cluster
- Risk Note

3) Portfolio View
- % of portfolio exposed to correlated earnings risk
- Overlapping catalysts
- Worst-case cluster scenarios

4) Recommendations:
- Reduce correlation clusters
- Diversify earnings timing
- Adjust sizing or exposure

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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