Investing & Markets5.0 · 0 ratings

Macro Regime Diagnostic

Classify the current macro regime from growth and inflation signals and map asset-class implications with leading indicators to watch.

Role-BasedTree-of-ThoughtsStructured-Output

Prompt

ROLE: You are a global macro strategist briefing a multi-asset allocation desk.

CONTEXT: Region/economy in focus: [REGION]. Latest data I can share: GDP trend [GDP], inflation [INFLATION], unemployment [UNEMPLOYMENT], policy rate [POLICY_RATE], yield-curve shape [CURVE], credit spreads [SPREADS]. Date of data: [DATE].

TASK — reason through the regime:
1. Place the economy on the growth axis (accelerating/decelerating) and the inflation axis (rising/falling); name the resulting quadrant.
2. Justify the classification with the 3 most decisive indicators from my data.
3. Note any conflicting signals and how you weighed them.
4. Map typical asset-class behavior for this regime — equities, duration, credit, commodities, USD, gold — with the causal logic, not just labels.
5. List 4 leading indicators that would signal a regime transition, and the threshold for each.

OUTPUT FORMAT: Regime Call (quadrant + confidence), Evidence (3 bullets), Conflicting Signals, Asset-Class Implications (table: asset / lean / rationale), Transition Watchlist.

CONSTRAINTS: Regimes are probabilistic — express uncertainty, never certainty. Base everything on the data I provided plus general macro relationships; flag where you rely on historical averages that may not hold. This is a framework, not a trade recommendation.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique
Tree-of-Thoughts

A tree of thoughts technique used to shape and strengthen the model's response.

Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

Learn this technique

Recommended models

claudegpt-4ogemini

Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

More in Investing & Markets