A sophisticated AI skill that classifies crypto market conditions into specific risk regimes to inform trading strategy and portfolio allocation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install crypto-macro-regime
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install crypto-macro-regime using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Crypto Macro Regime Classifier?
The Crypto Macro Regime Classifier is a specialized tool designed to provide institutional-grade market context for cryptocurrency traders and developers. By synthesizing data from multiple sources like the Fear & Greed Index, Reddit sentiment, and BTC dominance, this Openclaw Skills entry helps users determine whether the market is in a Risk-On, Risk-Off, Neutral, or Extreme Fear phase.
This skill is essential for anyone looking to automate their market analysis and ensure their trading bias aligns with the prevailing macro environment. It reduces the noise of short-term volatility by focusing on high-level signals that drive long-term price action, making it a vital part of any developer's Openclaw Skills library.
Crypto Macro Regime Classifier Use Cases
- Determining the current market regime (Risk-On, Risk-Off, or Neutral) before placing high-stakes trades.
- Calculating asset-specific bias adjustments based on real-time Fear & Greed metrics.
- Generating daily macro briefings to stay informed on key drivers like Fed announcements or regulatory changes.
- Identifying contrarian long opportunities during periods of extreme market fear and capitulation.
How Crypto Macro Regime Classifier Works
- Aggregates real-time data from alternative.me, Reddit sentiment, and CoinDesk headlines.
- Analyzes BTC dominance and difficulty metrics to assess underlying network health.
- Classifies the market into one of four regimes (A, B, C, or D) based on weighted signal processing.
- Calculates a confidence score and provides actionable bias adjustments for portfolio management.
- Outputs a comprehensive macro report including recommended allocation percentages and key drivers.
Crypto Macro Regime Classifier Setup
To get started with this skill, ensure your environment is configured to support external API calls for sentiment data. Use the following commands to integrate it into your workflow:
# Install the crypto-macro-regime skill using the skill manager
openclaw install crypto-macro-regime
# Run a test classification to ensure data sources are reachable
openclaw run crypto-macro-regime --test
Crypto Macro Regime Classifier Data Schema & Taxonomy
The skill organizes market data into a structured taxonomy to ensure clear decision-making. The output follows this schema:
| Field | Description | Type |
|---|---|---|
| regime | Current label (Risk On, Neutral, Risk Off, Extreme Fear) | String |
| fg_index | Fear & Greed numerical value (0-100) | Integer |
| bias_adjustment | Numerical multiplier for position sizing (e.g., +0.10) | Float |
| macro_drivers | Key drivers such as Fed policy or hack risks | Array |
| portfolio_alloc | Recommended percentage of capital to deploy | String |
Crypto Macro Regime Classifier Advanced Features
- Real-time sentiment analysis from r/CryptoCurrency and r/Bitcoin for rapid mood shift detection.
- Contrarian signal alerts specifically tuned for Regime D (Extreme Fear) scenarios to identify potential bottoms.
- Automated portfolio allocation recommendations based on macro volatility and BTC dominance trends.
- Multi-source integration that combines social sentiment with on-chain difficulty and dominance data for a 360-degree view of the market using Openclaw Skills.
SKILL.md
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