A 50-agent trading system where Jev makes the final call
The author built 50 agents with narrow jobs that condense market conditions into a compact state, after which Jev makes a bounded buy, sell or hold call and separate code checks whether it can become a trade.
I BUILT A 50-AGENT AI TRADING SYSTEM The interesting part isn’t that 50 agents can watch Bitcoin at once. It’s that each one has to bring something different to the decision. One tracks the market. Another watches the trend. Others look at liquidity, context, risk, and the signals a single chart can miss. Their job isn’t to shout “BUY” louder than the next bot. Their job is to turn a messy market into a compact state worth judging. Jev makes the bounded call: buy, sell, or hold. Then independent code checks whether that call is actually eligible to become a trade. That’s the part I find exciting about 50 agents: not 50 trading brains competing for attention, but 50 narrow jobs feeding one decision you can inspect, test, and challenge. I broke down the architecture, Python decision layer, and testing plan in the article below.