PolySwarm: A Multi-Agent Large Language Model Framework for Prediction Market Trading and Latency Arbitrage

1. 1Deploy a swarm of diverse LLM personas to evaluate binary outcome markets
2. 2Aggregate individual probability estimates through confidence-weighted Bayesian combination
3. 3Utilize swarm consensus with market-implied probabilities for prediction market trading and latency arbitrage
4. 4Evaluate the performance of PolySwarm on decentralized platforms such as Polymarket

AI engineers and researchers on a team can benefit from PolySwarm's novel approach to aggregating probability estimates, while traders and financial analysts can utilize the framework for making informed decisions

💡 PolySwarm's use of a swarm of diverse LLM personas can improve the accuracy of probability estimates in prediction markets

🤖 PolySwarm: a multi-agent LLM framework for prediction market trading & latency arbitrage