I built a trading bot with Jev!
Built a trading bot where Jev decides buy or sell from a price feed and places real orders on Kuru's on-chain order book via Monad every 300ms block.
The original post
I built a trading bot with Jev!
Jev decides if it should "buy" or "sell", given the price feed of an asset pair, and executes real trades.
It uses Monad to place the orders on Kuru's on-chain order book in every 300ms block.
Demo link →
What the author linked
- jev-trader.vercel.app
- Jev Trader — One AI trade decision every Monad block.
From the same thread
- @SUOHA_AI — 接下来请大家狠狠地关注JEV，真是惊艳啊 Monad 团队的开发者 @jarrodwatts 把全网刷屏的 JEV，做成了一套纯 AI 原生的链上自动交易系统，并且把代码和前端全部开源了 目前这个演示跑了14 个小时、亏了 300% 多🤣，但抛开实盘收益不谈，这套技术架构确实很惊艳 过去大家拿 GPT、Claude 做自动化交易，最大的硬伤就是延迟和幻觉： 你想让它判断个多空，它非得先在 API
- @milbon_ — 文章を書かないAIが、0.3秒ごとに実トレードし始めた ・新AI「Jev」が買い or 売りだけを超高速で判断 ・高速チェーンMonadの300msブロックごとに注文 ・推論コストはガス代より安い。1時間約0.2ドル想定 ポイントは「AIが天才トレーダー」じゃない。 速い判断を、速いチェーンに直結できること。 詳細は↓
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under finance & trading. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the finance & trading page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post