📂 FRIDAY – Agent-Level Upgrade: Expectation Asymmetry v2

To close the week, today’s Intel Drop upgrades Monday’s Expectation Asymmetry screener into a structured, PM-style refinement process.

This workflow filters out weak setups, tightens fundamentals, and produces a high-conviction earnings watchlist for the weeks ahead.

Use this to move from broad scans to actionable conviction.

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 “Expectation Asymmetry” watchlist generated on January 12, 2026.

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

Process:

Step 1 — Expectation Validation
- Remove names with rising optimism or crowded sentiment
- Flag fragile fundamentals
- Confirm valuation support

Step 2 — Quality Tightening
- Favor stable cash flow and margins
- Penalize leverage and execution risk
- Remove names needing “perfect” prints

Step 3 — Risk/Reward Ranking
Assign each remaining stock:
- Expectation Asymmetry (1–5)
- Fundamental Support (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 Earnings Risk
- What to monitor next

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