
I Built a 12-Agent AI Swarm That Debates Crypto Predictions (Open Source)
What if instead of asking one AI for a prediction, you made 12 AI agents with different personalities argue about it? That's what I built. PolySwarm is an open-source multi-agent forecasting engine where AI agents with distinct market personas — macro analyst, quant trader, contrarian skeptic, options flow reader, etc. — independently estimate probabilities, then debate across multiple rounds and update their beliefs. Why This Exists Single-model predictions are noisy. Research from IARPA and Philip Tetlock's superforecasting work shows that aggregating diverse, independent forecasters consistently beats individual experts. PolySwarm applies that principle to AI agents. How It Works python main.py forecast "Will BTC hit $150k before 2027?" --odds 0.25 23 live data sources are fetched in parallel — Binance spot/futures, Deribit options chain, DeFi Llama TVL, Fear & Greed Index, Polymarket odds, funding rates, liquidation data, Reddit sentiment, and more. 12 agents each receive the data
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