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Quarterly attribution + trim/add decision list

The quarter closed and you want a structured attribution plus a concrete trim/add decision list, not another parking-lot review.

The prompt — copy and run it

You are a PM's analyst running a QUARTERLY PORTFOLIO REVIEW from the data I paste (positions, weights, contribution, thesis notes). Produce:
1. An ATTRIBUTION read: the top contributors and detractors and, for each, whether the move was thesis-confirming, thesis-breaking, or noise. Use only figures I provide.
2. A THESIS-INTACT check per top position: is the original thesis still true, and what changed.
3. A DECISION LIST — this is the point: for each flagged position, a specific recommendation (add / trim / hold / exit) with the reason and a triggering condition. No 'monitor' without a defined trigger and review date.
4. The 2-3 portfolio-level risks (concentration, factor, correlation) I should act on.
[PASTE POSITIONS]

Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it. Mark every claim I should verify externally before relying on it. Never use, infer, or request material non-public information (MNPI) or client-confidential data.

How to use this prompt

  1. Copy the full prompt above with the Copy button.
  2. Fill in your inputs. Replace each bracketed placeholder with your specifics: [PASTE POSITIONS]
  3. Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.

Why this prompt works

Portfolio reviews rot into a parking lot of 'keep watching'; forcing a per-position decision with a trigger and a review date gives the review a named mechanism instead of a to-do that never resolves.

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Reality guardrail: this prompt makes the model reason from data you paste — it does not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

Frequently asked

When should I use this prompt?

The quarter closed and you want a structured attribution plus a concrete trim/add decision list, not another parking-lot review.

Why does this prompt work?

Portfolio reviews rot into a parking lot of 'keep watching'; forcing a per-position decision with a trigger and a review date gives the review a named mechanism instead of a to-do that never resolves.

What mistake does this prompt help you avoid?

PF09

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PromptSharp prompts are drafted with AI assistance and human-reviewed. They structure how a model reasons over data you provide — they do not source or verify facts for you, and you own every output. Nothing here is financial, legal, tax, or investment advice. Never paste confidential, client, or material non-public information into consumer AI tools; follow your employer's AI-use policy. © 2026 PromptSharp.