An automated news analysis pipeline that transforms CNBC world news into structured Polymarket trading recommendations using specialized AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install poly-tradebot
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 poly-tradebot 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 Poly Tradebot?
Poly Tradebot is a professional-grade automation tool designed for Openclaw Skills that bridges the gap between global news events and actionable trading signals. It systematically monitors CNBC World News, identifies high-impact stories regarding geopolitics or macroeconomics, and utilizes specialized AI agents to generate deep-dive analyses. By integrating directly with Polymarket data, it provides a streamlined workflow for identifying profitable opportunities in prediction markets based on technical insights.
This skill is built for users who require a systematic approach to market impact assessment. By leveraging the Openclaw Skills architecture, Poly Tradebot ensures that every news article is filtered for freshness and substance before being processed by domain-specific experts. The result is a highly structured output that highlights contrarian trading edges and high-liquidity markets, reducing the noise in daily news cycles.
Poly Tradebot Use Cases
- Automating the discovery of high-impact geopolitical news and its immediate effect on prediction markets.
- Monitoring Federal Reserve policy shifts and interest rate news to generate macroeconomic trading signals.
- Identifying high-liquidity Polymarket opportunities (>$1M volume) that align with expert AI analysis.
- Executing a systematic news-to-trading-signal workflow for professional market research.
How Poly Tradebot Works
- The skill fetches the latest articles from CNBC World News using integrated web fetching tools.
- Articles are filtered based on relevant tags such as US, Iran, war, market, or the Fed.
- A classification engine categorizes articles into Geopolitics or Macroeconomics to determine the correct analysis path.
- Specialized sub-agents (geopolitics-expert or the-fed-agent) are invoked to produce a detailed impact assessment.
- The system searches Polymarket for active markets related to the news topic, applying strict liquidity and odds filters.
- A unified trading table is generated, providing a bold YES or NO recommendation based on the delta between AI analysis and market odds.
Poly Tradebot Setup
To get started with this skill within the Openclaw Skills ecosystem, ensure you have the required dependencies installed and configured.
# Install the core tradebot skill
openclaw install poly-tradebot
# Install required expert dependencies
openclaw install geopolitics-expert
openclaw install the-fed-agent
Configuration requires access to built-in tools for web_fetch and web_search to enable real-time news retrieval and Polymarket data extraction.
Poly Tradebot Data Schema & Taxonomy
Poly Tradebot maintains a structured memory hierarchy to ensure all analyses are traceable and reproducible within Openclaw Skills.
| Data Type | Storage Location | Description |
|---|---|---|
| Geopolitics Analysis | memory/geopolitics-YYYY-MM-DD-cnbc-<topic>.md |
5-section expert report on conflict and economic impact. |
| Macroeconomics Analysis | memory/macro-YYYY-MM-DD-cnbc-<topic>.md |
4-section expert report on Fed policy and interest rates. |
| Unified Trading Table | memory/poly-tradebot-table-YYYY-MM-DD.md |
Final summary table with recommendations and market URLs. |
| Metadata | references/ |
Classification rules and output templates used for processing. |
Poly Tradebot Advanced Features
- Contrarian Edge Filtering: Automatically prioritizes markets with <70% probability to find high-value trading opportunities.
- High-Liquidity Thresholds: Excludes any market with less than $1,000,000 in total trading volume to ensure execution reliability.
- Modular Expert Routing: Seamlessly switches between different AI personas based on article content for specialized accuracy.
- Memory-Based Regeneration: Ability to regenerate the unified trading table from previously analyzed data without re-fetching news articles.
SKILL.md
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