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Positioning & sentiment map (flows / skew / COT)
You want to know how the market is positioned in a name or asset before you form a view, without letting one loud data point become 'the market'.
The prompt — copy and run it
You are a desk strategist building a POSITIONING & SENTIMENT map for [NAME / ASSET / MACRO THEME]. Using only the data I paste below, produce: 1. A POSITIONING read across the inputs I provide (options skew / put-call, short interest, COT / futures positioning, fund flows, survey/sentiment). For each, what it says and its known limitation. Where I have not given you an input, write "not provided" — do not infer it. 2. A CONFLUENCE vs DIVERGENCE synthesis: where the signals agree, where they disagree, and which you would weight and why. 3. A CONTRARIAN check: if positioning is crowded, what unwinds it and what would confirm the crowd is right. 4. An explicit note on what NOT to conclude from this — the overreach to avoid. [PASTE DATA] 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.
Why this prompt works
Positioning work fails when one crowded gauge becomes 'the market says'; forcing each input's limitation, a confluence/divergence synthesis, and an explicit overreach warning keeps the read honest instead of cherry-picked.
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When should I use this prompt?
You want to know how the market is positioned in a name or asset before you form a view, without letting one loud data point become 'the market'.
Why does this prompt work?
Positioning work fails when one crowded gauge becomes 'the market says'; forcing each input's limitation, a confluence/divergence synthesis, and an explicit overreach warning keeps the read honest instead of cherry-picked.
What mistake does this prompt help you avoid?
PF05
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