Monad engineer builds on-chain trading bot with Jev
The bot reads MON/USDC prices in real time while Jev outputs buy or sell decisions with confidence scores and places orders on the Kuru order book, with no written analysis; the author has received test access.
JEV just changed everything we know about AI trading. Yesterday it went viral in AI circles. Today a Monad engineer already built a fully automated trading bot with it. This is wild 🔥 The bot reads MON/USDC price in real time. But here's the crazy part: JEV doesn't write analysis reports or explain its reasoning. It just does the core work: → Decides Buy or Sell → Assigns confidence level → Sends trade directly to Kuru on-chain order book → Executes immediately Now I understand why JEV was designed as a model that doesn't talk. Trading doesn't need an AI writing essays every 300ms. What it needs: Market data in → judgment → order placed → new data → re-judge The entire loop has to be fast and cheap. Monad produces a block every 300ms. Kuru runs an on-chain order book. High-performance chain handles execution, JEV handles decisions. This is what an AI-native trading system looks like. Future trading agents won't need massive models that write research reports. They need a brain that makes millions of judgments under ultra-low latency. I got my WL approved today. Testing it next week. Save this post. This is the future of automated trading. Follow @codewithimanshu for more on AI and trading tech.
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