polymarket-executor
Autonomous multi-strategy trading bot for Polymarket prediction markets. Scans ALL markets (crypto, politics, sports, economics, entertainment) for parity arbitrage, tail-end trading, and logical arbitrage opportunities. Features paper trading mode, Kelly Criterion position sizing, circuit breakers, and full optimizer integration via learned_config.json.
Why use this skill?
Automate your Polymarket trading with the OpenClaw executor. Features parity arbitrage, tail-end trading, and paper mode for zero-risk strategy validation.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/georges91560/polymarket-executor-skillWhat This Skill Does
The polymarket-executor is an autonomous, high-frequency trading agent engineered specifically for the Polymarket prediction market ecosystem. It performs continuous scanning of 500 to 5000+ markets, covering crypto, politics, sports, economics, and entertainment. The skill functions by utilizing advanced statistical models, including Kelly Criterion position sizing, to identify market inefficiencies. It bridges the gap between raw market data and actionable execution by implementing three core strategies: Parity Arbitrage, Tail-End Trading, and Logical Arbitrage. The skill is designed to operate safely in a 'paper trading' mode by default, allowing users to backtest strategies against real-time data without risking capital. For live deployment, it integrates directly with user-provided API credentials and adjusts its parameters every 6 hours via the companion polymarket-optimizer, ensuring that the bot adapts to shifting market volatility.
Installation
To integrate this agent skill into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/georges91560/polymarket-executor-skill
Ensure you have Python 3.x installed and navigate to /data/.openclaw/workspace/skills/polymarket-executor to initialize the workspace. You can start the agent immediately in paper mode using python3 polymarket_executor.py.
Use Cases
- Portfolio Diversification: Gain exposure to non-correlated assets like event-based politics or weather patterns, which are decoupled from traditional stock market movements.
- Risk-Free Yield Generation: Leverage parity arbitrage to capture price discrepancies where YES + NO contract sums are less than $1.00, resulting in guaranteed profits regardless of the event outcome.
- Automated Decision Making: Remove human emotional bias from trading by delegating position sizing and market selection to the optimizer-backed executor.
Example Prompts
- "OpenClaw, initialize the polymarket-executor in paper mode and monitor the current election markets for any logical arbitrage opportunities."
- "Update the polymarket-executor configuration using the latest data from the optimizer and report the top 3 highest-yield arbitrage trades found in the last hour."
- "Check the current P&L for my paper trading session and list all active positions currently being held by the bot."
Tips & Limitations
- Always start in paper mode for at least 48 hours to evaluate the bot's behavior in your specific environment.
- Circuit breakers are pre-configured to halt trading during extreme market volatility; monitor logs if you notice sudden inactivity.
- Ensure your API keys have restricted permissions (read/trade only) to maintain security.
- The bot is highly dependent on API latency; running this skill on a server with low network latency to the Polymarket backend will significantly improve your win rate on arbitrage opportunities.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-georges91560-polymarket-executor-skill": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, file-write, file-read, external-api, code-execution
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