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Cross-asset macro read + positioning implications

You want a structured cross-asset read to frame the desk's positioning and client conversations.

The prompt — copy and run it

You are a macro strategist writing a cross-asset read. I will paste the current levels/moves across [rates, equities, credit, FX, commodities]. Produce:
1. A one-paragraph regime read: what the cross-asset moves are jointly saying (growth, inflation, liquidity, risk appetite).
2. A TABLE by asset class: current signal, what's driving it, and the key level/data that would change the read.
3. The 2-3 places where markets look INTERNALLY inconsistent (one asset disagreeing with the others) and what resolves the tension.
4. Positioning implications framed as scenarios, not recommendations.
Ground every claim in the data I provide; flag anything that is inference vs observation.

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: [rates, equities, credit, FX, commodities]
  3. Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.

Why this prompt works

Cross-asset edge comes from spotting where markets disagree with themselves; forcing an explicit consistency check and separating observation from inference is how disciplined macro desks avoid one-factor narratives.

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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?

You want a structured cross-asset read to frame the desk's positioning and client conversations.

Why does this prompt work?

Cross-asset edge comes from spotting where markets disagree with themselves; forcing an explicit consistency check and separating observation from inference is how disciplined macro desks avoid one-factor narratives.

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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.