Descriptions:
A developer from Robot Traders walks through an open-source Python script that automates prediction market analysis and trade execution on Polymarket using the Claude API. The system works in under 200 lines of code: it fetches market data from Polymarket (handling both simple yes/no markets and multi-submarket events via slug resolution), sends the question to Claude with up to three web searches enabled, and uses Anthropic’s tool-use API with a structured tool definition to extract a decision, confidence level, and reasoning before placing a USDC bet via the Polymarket API.
The tool definition approach is central to the design — by specifying exactly what fields Claude must return (decision as yes/no, confidence as low/medium/high, and a brief reasoning string), the downstream bet-placement logic can parse the response reliably without fragile string matching. A configurable confidence threshold lets users skip trades when Claude signals low certainty. A dry-run mode is included for testing the full pipeline without committing funds.
The video covers several practical engineering details: managing API keys in environment variables rather than script files, handling Polymarket’s slug-based URL scheme for submarket resolution, and choosing the Claude model and web search budget as tunable cost-vs-quality tradeoffs. The author frames the generic prompt as intentional — users are encouraged to inject their own trading logic or market thesis as the actual source of edge, with the infrastructure handling the mechanical parts of analysis and execution.
📺 Source: Robot Traders · Published March 22, 2026
🏷️ Format: Hands On Build
