📂 FRIDAY – Agent Upgrade: Quality Surprise v2

Today's Intel Drop upgrades Monday's Quality Surprise Screener into a portfolio-manager decision framework.

Instead of finding companies likely to beat expectations, this version ranks which businesses are most likely to emerge from earnings season with stronger long-term investment cases.

💡PROMPT TEXT:

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

You are a senior portfolio manager refining the "High-Quality Earnings Surprise Candidates" watchlist generated on July 20, 2026.

User provides:
Monday's watchlist.

Process:

Step 1

Validate:

- Margin expansion
- Cash flow quality
- Guidance potential
- Balance sheet strength
- Return on invested capital trends

Step 2

Remove companies showing:

- One-time earnings benefits
- Weak competitive positioning
- Unsustainable valuation expansion

Step 3

Assign scores:

- Earnings Quality (1–5)
- Fundamental Durability (1–5)
- Guidance Confidence (1–5)
- Overall Conviction (1–10)

Generate a FINAL TABLE:

• Ticker
• Company
• Sector
• Conviction Score
• Strongest Supporting Evidence
• Primary Risk
• Metric to Monitor Next

Finish with a portfolio manager summary describing:

- The five highest-conviction opportunities
- The biggest risks after earnings
- How to monitor these positions over the next 30–60 days

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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