📂 FRIDAY – Agent Upgrade: Pre-Earnings Drift v2

To close the week, today’s Intel Drop upgrades Monday’s Pre-Earnings Drift screener into a portfolio-manager refinement workflow.

This filters weaker setups and produces a high-conviction earnings positioning shortlist.

Use this to identify the strongest pre-earnings setups.

💡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 “Pre-Earnings Drift Candidates” list generated April 6, 2026.

User provides:
Monday’s watchlist.

Process:

Step 1 — Drift Validation
Confirm:

- Consistent higher lows
- Volume accumulation
- No distribution patterns

Step 2 — Fundamental Support
Favor:

- Stable earnings expectations
- Strong balance sheets
- Sector strength

Remove fragile candidates.

Step 3 — Conviction Ranking

Assign:

- Drift Strength (1–5)
- Fundamental Support (1–5)
- Technical Strength (1–5)
- Overall Conviction Score (1–5)

Step 4 — FINAL TABLE:

- Ticker
- Company
- Sector
- Conviction Score
- Why drift may continue
- Key invalidation risk

Step 5 — Portfolio Manager Summary:

Explain:

- Strongest earnings positioning candidates
- Key risks
- How to size positions prudently

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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