Simmer SDK: Python SDK for AI Agentic Prediction Market Trading

Simmer SDK is a Python library designed for AI agents to trade on prediction markets like Polymarket and Kalshi. It offers a unified API for autonomous trading, including features for paper trading, multi-venue support, and various trading safeguards.

RDR82Confidence 85%PythonSDKAI AgentsPrediction MarketsTradingPolymarketKalshiOpen Source

Why it matters

The Simmer SDK provides a specialized toolset for developers building AI agents that interact with prediction markets. Its focus on autonomous trading, multi-venue integration, and safety features could accelerate the development of sophisticated AI-driven trading strategies in this niche, potentially increasing market liquidity and efficiency.

The Simmer SDK is a Python library developed by SpartanLabsXyz, enabling AI agents to engage in prediction market trading. It provides a unified API for interacting with platforms such as Polymarket and Kalshi. Key features include support for autonomous trading agents, self-custody wallets, and built-in safety rails. The SDK also facilitates simulated trading with virtual currency ($SIM) for strategy development before deploying real funds. It supports multi-venue trading, allowing agents to operate across different prediction markets through a single interface. Developers can integrate trading skills, manage positions, monitor market context, and set up alerts. The SDK also offers functionalities for managing orders, redeeming winning positions, and configuring trade limits. It is designed to be used with frameworks like OpenClaw for running trading skills.

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