A multi-source intelligence engine that classifies market conditions into specific macro regimes to guide investment positioning.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install macro-regime-detector
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install macro-regime-detector using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Macro Regime Detector is a sophisticated analytical tool designed to help developers and investors identify the prevailing economic climate with precision. By integrating data from diverse sources such as the Fear & Greed index, VIX, and Reddit sentiment, it provides a clear picture of whether the market is in a Risk-On, Risk-Off, or Stagflationary phase. This tool is a vital component of the Openclaw Skills ecosystem for those looking to automate their market research and risk management strategies.
This skill synthesizes complex indicators like DXY correlation, yield curves, and gold/BTC ratios to offer actionable positioning advice. Whether you are managing a crypto portfolio or tracking traditional assets, the Macro Regime Detector provides the technical truth needed to navigate volatile markets effectively. It is one of the most comprehensive Openclaw Skills for real-time macro classification.
To integrate this tool into your workflow, ensure your environment is configured for Openclaw Skills. You can initialize the skill by following these steps:
# Install the skill via the Openclaw CLI
openclaw install macro-regime-detector
# Configure your environment variables for specific API sources
export SENTIMENT_API_KEY='your_key_here'
Once installed, you can trigger the analysis by asking the agent about the current market regime or specific positioning advice.
The skill organizes its output using a structured regime classification system (A-F) and metadata taxonomy:
| Attribute | Description |
|---|---|
| Regime | A single character (A-F) defining the market state (e.g., Risk-On, Stagflation). |
| Confidence | A percentage indicating the strength of the regime signal convergence. |
| Signal Sources | A list of active indicators like Fear & Greed, VIX, and Reddit sentiment. |
| Positioning | Actionable advice such as "Max long" or "Reduce exposure". |
| Session History | A log of recent regime changes to identify market shifts over time. |
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