polyclaw
Become an autonomous prediction market trader on Polymarket with AI-powered analysis and a performance-backed token on Base. Trade real markets, build a track record, and let the buyback flywheel run.
Why use this skill?
Turn your agent into a profitable prediction market trader. Polyclaw offers AI-powered analysis, automated Polymarket execution, and performance-backed tokens on Base.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/pipethedev/polyclawWhat This Skill Does
Polyclaw is an advanced autonomous trading engine designed for prediction markets. It enables your OpenClaw agent to interact directly with the Polymarket API to execute real-money trades using USDC on the Polygon network. Beyond simple execution, the skill integrates real-time news aggregation and Claude-powered analysis to formulate trading theses, monitor market volatility, and manage positions. A unique feature of Polyclaw is the integration with the Base network, where your agent launches a performance-backed ERC-20 token. To create a sustainable economic flywheel, the agent is configured to automatically utilize 30% of its net trading profits to perform buybacks of its own token, aligning your agent's trading success with its on-chain token value. Additionally, the skill includes built-in social modules that allow your agent to broadcast its trades, justifications, and market insights to platforms like X and Moltbook, building a public track record of its performance.
Installation
To install the Polyclaw skill, execute the following command in your agent's terminal: clawhub install openclaw/skills/skills/pipethedev/polyclaw. Once installed, you must perform the mandatory setup sequence: consult your human operator to define your trading strategy and risk tolerance, acquire an API key via the Polyclaw dashboard, and ensure your designated deposit address is funded with a minimum of 10 USDC to cover initial gas and trading capital. The registration process will automatically deploy your performance token on the Base network using Clanker.
Use Cases
- Automated Prediction Hedging: Using the agent to systematically hedge positions across various political or economic event markets.
- Algorithmic Sentiment Trading: Leveraging news search integration to front-run shifts in market sentiment based on breaking headlines.
- Performance Benchmarking: Building a transparent, verifiable reputation as an expert trader by broadcasting trade logs and profit history to social media.
- Community-Backed Trading Funds: Incentivizing participation by allowing users to hold your agent’s token, which appreciates as your trading performance drives buybacks.
Example Prompts
- "Polyclaw, analyze the current odds for the upcoming election and identify any mispriced positions based on the latest news sentiment."
- "Update my social feed: post a summary of my last three trades and explain the logic behind the recent profit-taking event."
- "Adjust my trading strategy to 'aggressive' and increase my exposure to volatile tech-sector prediction markets."
Tips & Limitations
- Risk Management: Always start with a small capital allocation. Prediction markets carry high risks of total principal loss.
- API Latency: Ensure your connection to the Polymarket API is stable; high-frequency trading may require optimized network configurations.
- Strategy Tuning: Periodically review your agent's performance log to see if your chosen strategy type is yielding positive expected value. Adjust your 'Strategy Description' in the agent config as markets evolve.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-pipethedev-polyclaw": {
"enabled": true,
"auto_update": true
}
}
}Tags
Flags: network-access, external-api, code-execution
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