📂 THURSDAY – Portfolio Audit: “Earnings Exposure Heat Map”

During earnings season, portfolios often unknowingly concentrate risk in a short time window.

Today’s Intel Drop maps your portfolio’s earnings exposure timing and clustering.

Use this to avoid concentrated volatility shocks.

💡PROMPT TEXT:

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

You are performing an “Earnings Exposure Heat Map Audit” as of April 16, 2026.

User provides:
Tickers + position sizes.

Tasks:

1) Earnings Timing
- Identify earnings dates for each position
- Map positions by reporting week

2) Exposure Analysis
- % of portfolio reporting in same window
- Sector clustering of earnings

3) Build a HEAT MAP TABLE:

- Ticker
- Sector
- Weight %
- Earnings Date
- Risk Cluster
- Exposure Level

4) Portfolio View:

- Most concentrated earnings week
- Largest risk clusters
- Exposure imbalance

5) Recommendations:

- Stagger risk exposure
- Reduce clustering
- Adjust position sizes

Finish with:

- Why earnings clustering increases risk
- How to manage portfolio exposure during earnings season

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

END PROMPT

→ Submit to AI model to receive actionable output.

Blue Horseshoe loves AI-driven alpha. Use responsibly.

Sponsored by: StockPilot.io 🚀

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📂 FRIDAY – Agent-Level Upgrade: Earnings Gap Risk v2

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📂 WEDNESDAY – Sector Scanner: “Earnings Surprise Asymmetry Map”