market-maker

What This Skill Does

The market-maker skill enables OpenClaw agents to scaffold and manage algorithmic trading bots specifically for Turbine’s BTC 15-minute prediction markets. It provides a robust framework that handles environment detection, secure local configuration, and automated EIP-712 credential registration. By leveraging this skill, developers can focus on defining their market-making logic—such as bid/ask spread calculation and order management—while the agent handles the boilerplate complexity of connecting to the Turbine API safely.

Installation

You can integrate this skill into your OpenClaw environment by executing the following command in your terminal: clawhub install openclaw/skills/skills/adamewozniak/turbine-trading-bot Ensure you have the turbine_client package installed in your target environment, and ensure your Python environment matches the compatibility requirements (Python 3.9+ recommended).

Use Cases

This skill is designed for quantitative traders and developers looking to deploy automated liquidity provision on Turbine. Common use cases include:

• Designing mean-reversion strategies that place orders based on 15-minute volatility windows.
• Setting up automated market making (AMM) bots that maintain a consistent bid/ask spread around the oracle price.
• Rapid prototyping of trading logic where secure, non-custodial credential handling is a priority.

Example Prompts

1. "Initialize a new Turbine market maker bot in the current directory and check if my .env file is configured correctly for local signing."
2. "Update my market maker script to implement a tighter spread when Bitcoin price volatility is below 0.5% over the last 15 minutes."
3. "Help me integrate the credential registration flow using the EIP-712 signature method so I can securely authenticate with Turbine."

Tips & Limitations

• Security First: Never share your private key. This skill enforces local signature-based authentication; ensure your .env file is included in your .gitignore.
• Environment Awareness: Always let the agent scan your pyproject.toml first to ensure the code generated adheres to your project's specific Python version constraints.
• API Rate Limits: Turbine’s 15-minute markets operate on specific latency cycles. Ensure your bot logic accounts for potential network latency when placing limit orders.
• Scope: This skill specifically targets Turbine’s prediction markets. While highly efficient for BTC, ensure you adjust your risk management parameters when scaling to different asset pairs.