Monad engineer builds on-chain trading bot with Jev
Jev outputs only buy or sell plus a confidence level and sends orders straight to Kuru's on-chain order book, forming a high-frequency decision loop with Monad's 300ms block times.
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.