polymarket-openclaw-trader

What This Skill Does

The polymarket-openclaw-trader is a comprehensive operational framework designed to help users manage Polymarket trading activities directly within an OpenClaw environment. This skill provides a suite of tools to initialize, configure, monitor, and deploy automated trading strategies. It acts as an orchestrator for your Python-based trading bots, ensuring that sensitive data like private keys are handled securely while non-sensitive strategy parameters remain adjustable for real-time performance tuning. Whether you are running a paper trading environment for testing or a live production bot, this skill streamlines the lifecycle of your automated trading project, from environment setup to deployment on cloud platforms like Vercel.

Installation

To install this skill, use the ClawHub command-line interface provided in your workspace: clawhub install openclaw/skills/skills/08820048/polymarket-openclaw-trader

Ensure you have Python 3.10+ installed and a valid Polymarket project structure prepared in your directory. After installation, verify your environment by running the shell commands to navigate to your project directory, create a virtual environment, and install dependencies using pip install -r requirements.txt.

Use Cases

• Project Setup: Quickly scaffold the environment, handle sensitive .env configurations, and set up risk controls.
• Bot Lifecycle Management: Start, stop, and inspect background trading processes using standard CLI tools, with automatic restart capabilities if a process is terminated.
• Strategy Tuning: Dynamically update market signal thresholds and volume parameters without redeploying the core bot logic.
• Compliance & Reporting: Generate accurate PnL and portfolio reports by sourcing data directly from your wallet and ledger, ensuring transparency in your trading performance.

Example Prompts

1. "Initialize the Polymarket project in the current directory and help me set up the .env file with my wallet address, but don't show the private key."
2. "Check the status of the trading bot and show me the last 50 lines of logs/runner_v2.log to see if there were any recent order execution errors."
3. "Adjust the signal_score_threshold in runtime/settings.json to 0.75 and restart the bot so the changes take effect."

Tips & Limitations

• Security: Never expose your private keys in logs, terminal output, or code files. Use only the provided .env management flow.
• Compliance: This skill is strictly compliant with geoblocking regulations. If a region restriction is detected, the skill will halt trading immediately and will not provide workarounds for such restrictions.
• Monitoring: Always monitor the logs during initial deployment to ensure the bot is correctly connected to the network and reading environment variables as expected. Use the provided inspection commands to verify process health daily.