Jev trader and trading bots

Abol

@abolbuild

I gave Jev $10,000 and let it trade

Jarrod Watts

@jarrodwatts

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 → jev-trader.vercel.app

Clawby

@openclawby

Clawby 更新： 1. 资产评级: 技术面 / 流动性 / 情绪 / 风险四个快变维度由 Jev（TypeSafe System One 决策模型）每 10 分钟按最新行情与资金流重评，亚秒级校准打分。并且基于clawby的skills + claudecode 完成每周的定时分析报告，设计到前100非稳定币的主流币种。 2. 趋势分析：六个时间框架 × 五个指标，逐一与 BTC 对照。使用Jev System One决策模型，每分钟都进行分析打分，找到所有的独立信号。 3. 交易信号：覆盖meme，加密二级市场和美股三个板块。每分钟通过Jev模型进行快速分析，找到买入，卖出和观望信号。 4. 资金流：市值前 100 的币，主动买入减去主动卖出，8 家交易所聚合、13 个时间窗口——钱在进哪里，又从哪里出。 5. 链上市场：聚合了FOMO接口，对CA和钱包进行快速的深度分析，相当于一个链上快速检测工具。 https://app.openclawby.com/

Wahiduzzaman Hridoy

@hridoy43

Built a stock market scoring and decision engine and invested for the first time! 🚀 It includes portfolio-aware suggestions. Used @typesafeai's JEV for non-mathematical data analysis. Open to the following positions btw. 👨‍💻 Senior Front-end | Product | Mobile (RN) Engineer.

Frit🅾️ Pendej🅾️

@vwapster

I think Jev and Laya were the missing pieces to algorithmic trading. Sure you can hardcode gates and adjust variables, but being able to add a real time decision maker within your algorith is a game changer. I can smell and taste an early retirement.

Frit🅾️ Pendej🅾️

@vwapster

Jev usage on 1 trading bot. It's cheap but this is going to add up fast. @deepseek_ai please help and release something similar for free.

Frit🅾️ Pendej🅾️

@vwapster

Grok bot + Jev + Laya. Self improving and auto calibrating Kalshi Solana trading bot. Still on paper. Looks promising.

dopamyn.ai

@dopamynAI

Dopamyn + JEV vs without JEV. Same crypto account tagging job. ~20x faster and cheaper with JEV.

BurstingBagel 🥯

@burstingbagel

Built a jev filter to catch mercenary farmers before TGE. 40k wallets screened in 4 seconds. Community size after: 2. Pre-TGE teams DMs open

Frit🅾️ Pendej🅾️

@vwapster

I think I just developed an additional income stream for everyone. Kalshi $BTC 15minute trading bot built with OPUS 5.5 + jev. Real time decisions in volatile short markets. Join the waitlist and track the real time PnL at https://vwapster.com Working on launching hosted subs by end of next week.

WOLF

@FXWOLF2

Jevに渡すデータを変えてバックテストしてたんだが、時刻情報を渡さんほうが成績いい。Jevにとってはノイズなんか。テクニカルも削って１つか２つしか渡さんのが良さげ。あと、直前のトレードの勝敗渡したら良くなるかなって思ったけど変わらんかった。とりあえず、最初にもらえる$5を使い切るまでは遊んでみる。

@kleos

@1kleos1

A 20-YEAR-OLD JAPANESE STUDENT BUILT A JEV POLYMARKET BOT OVER THE WEEKEND, FIRST NIGHT IT MADE $17,831 Starting capital: $148 First night: $17,831 profit Total profit so far: $276,000 he built the whole thing around one stupidly simple loop Polymarket data comes in → Jev judges the setup → confidence gate checks it → deterministic code executes Jev only gets three choices BUY YES BUY NO WAIT the bot scans dozens of markets at once looking for odds that stop matching the live data around them while a normal LLM is still explaining why something might be mispriced, Jev has already made the decision and moved to the next market position sizing, max loss, execution and exits stay in code Jev only handles the fuzzy part is this market actually wrong right now? $148 starting capital $17,831 on night one $276,000 so far and the craziest part is I have the full setup he used the Jev prompts, decision flow, confidence gates and Polymarket architecture might drop the whole thing next

Blue007｜Crypto × AI

@blueoli007

JEV integration is not another demo. It feeds live data to one ID with a hard risk cap. The trace after execution is the moat — not the launch graphic.

FrankD

@FrankDa18249347

支撑这个交易机器人的Jev账户快没钱了，我准备把机器人关停后拿最后的Jev额度做一个实验，在polymarket上实盘反买。因为这个机器人亏钱亏的实在是太稳定了，甚至没有一丝起伏，仿佛每个决定都是奔着击穿账户去的，所以我也不打算搞什么dry run了，直接实盘小金额开怼，看看把剩下额度跑完结果如何

Avid

@Av1dlive

Jev + GPT-6 Astra just built the most TERRIFYING AI trading setup on the internet... [this article covers 90% of what is required to build quant-level systems] /1 GPT-6 Astra reads the order book, the tape and 3 correlated futures /2 Jev turns the signal into a trade and checks the risk limit /3 computer use clicks the order screen, no broker API needed /4 the full loop runs in 6 ms, signal to fill steal this setup in the article below👇

Proliquid

@proliquid_xyz

Did you know that we have @typesafeai Jev AI giving you the sentiment on the news? Don't miss the next ethereum:0xfaba6f8e4a5e8ab82f62fe7c39859fa577269be3 like move. One click long on bullish news only on app.proliquid.xyz/terminal 🦈

PeterY

@yudeewxy

用JEV + Codex + TG Bot，开发了一个小工具，用于实时判断9个coin的价格走势和概率。交易信号来自前几个月开发的trading信号平台。同时给这个Bot授权了1万刀，看看他围绕这些信号来实时交易的表现会怎样。 开发过程： - JEV开通，获取API，配置到本地 - 配置TG Bot - 连接Binance和OKX的API - 信号聚合平台：http://pytrading.vercel.app - 或者找到trading view或者自己的一套交易因子 - Bot配置钱包，授权10K usdt，在OKX上进行交易 JEV的优势是：快速高效的反馈价格及进行交易行动、相比LLM大量节省Token

TactiX Trading Panel

@TactiXPanel

The Jev-powered AutoScalper passed all Tests during the Testnet Live Test with an average win rate of 82% trading on the 1m chart, using a 120 candle lookback window. So 2h structures get scalped top-to-bottom and bottom-to-top Now its time to aim for mainnet deployment!

gabidev

@GabiDev98

Here is another use case for Jev in DeFi. Vault risk classification. I pulled the signals that matter for Morpho vault risk (allocations, LLTV, utilization, idle, oracle, curator, APY sanity, liquidity and more) across 50 @Morpho vaults on Base, then asked Jev to score each one LOW / MEDIUM / HIGH / EXTREME. 50 judgments in 22.6s, ~452ms avg, ~60% median confidence, around $0.006 in costs Result mix: 30 MEDIUM - 12 HIGH - 8 EXTREME - 0 LOW. Jev also ranked curators and vaults by trust, who looks safest, who looks riskiest. Claude, Codex and other models can do this as well but it takes much more time and money.