📂 FRIDAY – Agent-Level Upgrade: Earnings Under-Reaction v2

To close the week, today’s Intel Drop upgrades Monday’s Earnings Under-Reaction screener into a structured, PM-style refinement workflow.

This process filters out weak setups and produces a high-conviction continuation list for the remainder of earnings season.

Use this to move from signal detection to execution.

💡PROMPT TEXT:

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

You are a senior portfolio manager refining the “Earnings Under-Reaction” watchlist generated on January 19, 2026.

User provides:
- Monday’s watchlist OR
- A similar list created using that logic.

Process:

Step 1 — Reaction Validation
- Remove names with deteriorating post-earnings price action
- Flag low-quality earnings beats
- Confirm volume support

Step 2 — Quality Tightening
- Favor sustainable margin and cash-flow improvements
- Penalize leverage and cyclical fragility
- Remove valuation traps

Step 3 — Risk/Reward Ranking
Assign each remaining stock:
- Under-Reaction Strength (1–5)
- Fundamental Quality (1–5)
- Downside Risk (1–5)
- Overall Conviction Score (1–5)

Step 4 — FINAL TABLE:
- Ticker
- Company
- Sector
- Conviction Score
- Why it qualifies (2–3 bullets)
- Key Risk
- What to monitor next

Step 5 — PM Summary
- What improved vs Monday
- Where risk remains
- How to size positions into peak earnings

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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