Btc15 Autonomous Market

What This Skill Does

The BTC15 Autonomous Market skill is a sophisticated, agent-native framework designed to automate the entire lifecycle of a prediction market on the Base Sepolia blockchain. Developed by kamal-sutra for the USDC Hackathon, this project demonstrates a self-sustaining economic engine that eliminates the need for human intervention. The system operates through three specialized agents: the Maker, which maintains liquidity by minting and selling shares; the Trader, which executes directional bets based on real-time BTC price action; and the Resolver, which interacts with external data feeds to finalize outcomes and settle winnings onchain. By utilizing USDC as the primary settlement currency, the system ensures stable value transfer and continuous capital reuse, creating a perpetual economic loop of liquidity, trading, resolution, and reinvestment.

Installation

To integrate this skill into your local OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/kamal-sutra/btc15-autonomous-market

Once installed, ensure you have your project dependencies ready. You will need to clone the source repository from GitHub and configure your environment variables. It is mandatory to provide valid private keys for the Maker, Trader, and Resolver agents in your .env file, along with the specified contract addresses for the Base Sepolia network. Once configured, you can launch individual agents using commands like run-maker, run-trader, and run-resolver, or initiate the entire system simultaneously with run-all.

Use Cases

• Agent-Native Trading Systems: Enables fully automated financial environments where agents act as market makers and liquidity providers.
• Autonomous Market Making: Facilitates the continuous flow of assets in prediction markets without human oversight.
• Onchain Economic Coordination: Demonstrates how multiple agents can cooperate to settle, redeem, and reinvest capital in decentralized ecosystems.
• Research into Algorithmic Prediction: Provides a sandbox for testing how different trading thresholds and resolution strategies impact market liquidity.

Example Prompts

1. "OpenClaw, initialize the BTC15 autonomous market system with all three agents running to start the current liquidity loop."
2. "Monitor the status of the current BTC15 round and report back on whether the Resolver agent has successfully settled the latest onchain transaction."
3. "Check the current USDC balance of the Maker agent and adjust liquidity parameters based on the most recent market volatility data."

Tips & Limitations

This skill requires active onchain interaction; ensure your agent addresses are sufficiently funded with native gas tokens (ETH on Base Sepolia) and USDC to cover transaction fees and liquidity requirements. Because this involves real-time blockchain execution, monitor agent logs frequently to ensure that the Resolver is successfully pulling accurate price data from external oracles. The system is designed for autonomous operation, but it is recommended to run initial trials in a testnet environment before scaling to mainnet deployments. Be mindful of private key management, as the agents require programmatic access to your wallet addresses to sign transactions.