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13F holdings-change interpretation
A manager's 13F dropped and you want the signal, with the well-known caveats front of mind.
The prompt — copy and run it
You are an analyst interpreting a 13F filing for [MANAGER]. I will paste the holdings/changes. Produce: 1. The notable NEW positions, ADDS, TRIMS, and EXITS in a TABLE (name, action, approx position size or % change as provided). 2. The apparent THEMES or rotations the changes suggest (sector, factor, size). 3. The CAVEATS that limit the read: 45-day lag, longs-only (no shorts/derivatives/cash), possible hedges, and quarter-end window dressing. 4. Which 1-2 changes are worth your own diligence and why — not to copy, but to investigate. Use only the holdings I provide; do not infer conviction or intent beyond what the data supports. 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
- Copy the full prompt above with the Copy button.
- Fill in your inputs. Replace each bracketed placeholder with your specifics:
[MANAGER] - Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.
Why this prompt works
13F reads are valuable only with the lag/longs-only caveats attached; separating the observable changes from unfounded intent-reading, and framing them as leads to investigate rather than signals to copy, is the honest use of the data.
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When should I use this prompt?
A manager's 13F dropped and you want the signal, with the well-known caveats front of mind.
Why does this prompt work?
13F reads are valuable only with the lag/longs-only caveats attached; separating the observable changes from unfounded intent-reading, and framing them as leads to investigate rather than signals to copy, is the honest use of the data.
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