Analyze trading volume patterns and liquidity trends for any market to understand market activity and depth.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install polymarket-volume-analysis
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 polymarket-volume-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Polymarket Volume Analysis is a specialized analytical tool designed to provide granular insights into prediction market dynamics. By leveraging this tool within the Openclaw Skills ecosystem, users can programmatically access daily, weekly, and monthly volume statistics to better understand market sentiment. The skill focuses on delivering high-fidelity data regarding liquidity depth and trading trends, enabling developers and traders to build more informed strategies.
This skill is built for those who require precision in monitoring market health. It synthesizes complex trading activity into actionable reports, ensuring that every API call provides a comprehensive view of capital flow. Whether you are building a dashboard or an automated trading agent, this skill ensures you stay ahead of market shifts.
To integrate this capability into your project using the Openclaw Skills framework, follow these steps:
# Install the necessary CLI tools
npm install -g @openclaw/sdk
# Enable the Polymarket Volume Analysis skill
openclaw skill enable polymarket-volume-analysis
# Configure SkillPay.me credentials for automated micropayments
openclaw config set payment_provider skillpay
The skill returns a structured data object optimized for programmatic consumption and financial modeling:
| Attribute | Description | Data Type |
|---|---|---|
volume_stats |
Object containing daily, weekly, and monthly totals | JSON Object |
trend_analysis |
Comparison of current volume against historical averages | String |
liquidity_depth |
Detailed metrics on available market liquidity | Object |
cost_per_call |
Fixed transaction fee in USDT | Decimal |
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