📂 FRIDAY – Agent-Level Upgrade: Institutional Accumulation v2

To close the week, today’s Intel Drop upgrades Monday’s Stealth Institutional Accumulation screener into a PM-level refinement workflow.

This process filters out weak signals and produces a high-conviction institutional accumulation shortlist.

Use this to move from watchlist building to portfolio decisions.

💡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 “Stealth Institutional Accumulation” watchlist generated on March 9, 2026.

User provides:
Monday’s watchlist.

Process:

Step 1 — Accumulation Confirmation
- Confirm multiple accumulation volume days
- Remove stocks with distribution signals

Step 2 — Fundamental Strength
- Favor stable revenue growth
- Remove fragile balance sheets
- Confirm sector momentum

Step 3 — Risk/Reward Ranking
Assign each remaining stock:

- Accumulation Strength (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 accumulation appears credible
- Key risk factor

Step 5 — Portfolio Manager Summary
Explain:
- Which accumulation signals are strongest
- What could invalidate the thesis
- How to size positions responsibly

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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