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天下武功，唯快不破 JEV很好，但是我选择laya Laya是一套开源的结构化判断模型 最大优势其实就是可以本地部署 可以魔改训练 比如BSC meme，我给他接了价格、曲线进度、流动性、买卖流、Top10 持仓、开发者持仓、聪明钱 再套到一个meme早盘流量轮动的策略里边 跑了一天，两个模型对比 jEV跑了200多笔，输17U Laya跑了312笔，胜7U 建议持续深耕高速决策模型 还有很深的应用场景可以挖掘

我用 GPT-6 ASTRA 克隆了 Robinhood Chain 上 100+ 顶级 MEME 交易者，然后让 JEV 按下执行键 ASTRA + JEV = CABBAGE · 21.6 秒内完成 52,110 次决策 · API 成本：0.37 美元 · 全程无人手动干预 · 每次调用自动同步到 X 和 Telegram · 任何人都能跟随同一套信号 · 41,880 笔成交，536 个钱包被打分，只有 12 个通过 · Astra 负责搭建，Jev 负责执行 每 20 秒循环一次： 1. 通过 GMGN 监控 Robinhood Chain 上每一笔买卖，紧跟区块之后： 2. 过滤噪音：洗盘、自买、机器人循环全部扔掉。 11 个“聪明钱买入”里，有 1 个是假的。 3. 按真实交易表现给每个钱包打分 0–100： 入场、出场、胜率、抛售速度。 4. 当 Fomo 提示顶级钱包开始买入同一个币： 5. 问 JEV 一个问题：买入、持有，还是卖出？ 置信度低于 80%，它就等待。 6. 以固定 100 美元票面进场，并���置硬止损。 AI 不能更改这两项。 7. 每次调用一触发，立即发 Telegram，一小时后发 X。 为什么用两个模型： · Astra：聪明但慢。会思考、会写、会解释，适合构建系统。 · Jev：不废话。只给一个词和概率，毫秒级，适合资金流动的瞬间。 聪

tool which made me over $2,000 is open now my Jev + Grok Bot copytrading bot finally has a front door 50k+ lines written. 270+ contributions. four weeks of it. every buy walks the same floor before it can become yours: > watch only the wallets you picked > match the move against the rule you wrote > check it on two providers first > hold it to your caps, allowlist, slippage and expiry the full build is in the article below.

I gave 6 agents $2,860 and took my hands off the chart. INTAKE reads every new mint. GATE kills the honeypot before size. Grok Bot only sees what Jev already marked GEM. $2,860 → $13,214. +362% on the seed. realized +$10,354. best single exit 6.1x. it is not a price model. the loop on the desk is: mint → INTAKE → MIRROR 93% wallets → GATE (honeypot / dev wallet / LP lock / renounce / social age) → ROUTER splits size → VAULT locks the exit session 0417. no human in the loop. five fills did almost half the realized: $ATLAS · GEM 0.93 · renounced · lock 300d · +$1,391 $KESTR · GEM 0.96 · lock 365

GrokBot + Jev is the first trading agent setup I'd actually let near my account Most trading bots don't blow up on bad entries. They blow up after 3 losses, when they size up and revenge-trade. Mine did. So I split it: GrokBot does the analysis, Jev makes the calls it shouldn't make alone. setup took me 7 minutes: prompt → GrokBot → Jev decides → GrokBot executes → you confirm the order step 1 → get an API key at @typesafeai (never paste it in chat) step 2 → tell GrokBot: save it as TYPESAFE_API_KEY in the secure field step 3 → have GrokBot install typesafe-sdk on Agent Computer + smoke test s

she's 18 and just sold a Jev trading agent for $3.2M then she went to Stanford and rebuilt it from scratch in front of the whole room: 5:34 → how one Jev decision layer replaced the LLM that was eating $40k a month in inference 15:38 → 4 agents, one Jev router, zero humans approving trades 34:55 → from the first yes/no call to a $3.2M exit after watching I spent one evening wiring Jev into my own bot it cut my screen time by 90%, and a week later someone offered me $100k for it save this and watch it. article below on how to go from one Jev call to an agent people pay millions for

JEV ENGINEER BUILT THIS - AN ANALYSER THAT READS THE LAUNCHPAD WITH ME AND LANDS 427 VERDICTS FOR $0.576 every token gets 12 typed questions, and the answer comes back in 228 milliseconds token → 12 questions → confidence → verdict → on down the tape it gives no signals and names no prices - only watch, track, pass or flag the deployer it checks whether liquidity is locked, whether the LP is burned, whether mint is revoked, whether the volume is real how much the top 10 hold, whether there's a wash pattern, how old the socials are, and what this deployer has done before 24 tokens off the tape

BUILT JEV BOT TRADING IN ONE DAY Normally my Saturday goes like this: Netflix, snacks, three episodes deep before noon. This time I closed the laptop lid on the show and opened a terminal instead. One day of work. Here's what came out of it: → a scanner that catches fresh Solana memecoins the moment volume spikes → Jev answering four narrow questions in under 100ms: flow, coordination, momentum, setup score → a risk policy that says no far more often than yes → an executor that pulls a fresh quote before every single trade Jev never touches the private key. It just judges the setup. Started wi

JEV OPENED THE API. EVERYONE RUSHED TO BUILD DEMOS. I TOOK THE 10 BEST REPOS AND WIRED THEM INTO A TRADING PIPELINE. repo: did not copy a single line of code. pulled one architectural idea from each repo and mapped it to nerve. agent-desktop reads the desktop accessibility tree and decides where to click. i took the pattern of reading structured state instead of screenshots. pool scanner reads pool state directly from chain, no ui parsing. typesafe-mario plays mario without screenshots. reads emulator ram, gets structure, decides. same principle: typed state in, typed decision out. jev in nerv

10 DEVS BUILT JEV DEMOS. I STOLE THEIR ARCHITECTURES. WIRED ALL 10 INTO ONE TRADING PIPELINE. +3 ETH a drone repo taught me safety layers. a mario repo taught me to stop using screenshots. an fps repo taught me to ask four questions in one call zero lines copied. one idea from each. mapped to memecoin trading a guy plays mario without seeing the screen. reads emulator ram. typed state in, typed decision out. i do the same thing. jev gets pool json, returns verdict json. no text. no prompts. 190ms a guy flies a drone. stabilization runs below, decisions run above. safety does not wait for the b

I just built a Jev Market Intelligence terminal. 18 models. 42 market data streams. 5,500 decisions per second. Most financial AI tools generate another paragraph about the market. This one turns millions of observations into one risk-adjusted view. • market analysis is the perfect Jev job: it is not writing - it is a battery of typed decisions: > is momentum strengthening or fading > is news sentiment confirming the move > is earnings quality improving > is options flow bullish or defensive > is the market regime expanding or contracting > is the trade crowded > how quickly will the signal de

ASTRA + JEV = CABBAGE I used GPT-6 Astra to build a trading desk. Then I gave Jev every decision. 21.6 seconds. $0.37 in API. 52,110 decisions. Astra built 3 bots: MACD momentum, RSI + VWAP reversal, CVD divergence. Wrote the code, the backtest and the risk manager. 1,200 configs went through the walk-forward backtest. 1,186 died. 14 survived all regimes. Then Cabbage started reading Robinhood Chain: > READS every fill, 20 seconds behind the block > ZEROES fake smart-money buys. 1 in 11 is fake > SCORES 536 wallets 0 to 100. Only 12 are worth copying > ASKS JEV when trusted wallets pile into o

a bundling/farm detection model using JEV for all new launches on Robinhood costs $0.7/day, ~200 millisecond per token it works like magic https://t.co/KpY36cSlUf

Found this HypeMeter build made with Jev + Minds in just 4 hours. The idea is simple: use AI to scan NFT listings and figure out whether a cheap NFT is actually an opportunity or just a trap. 20 collections, 898 listings 801 screened → 11 traps rejected → 1 passed. Jev handles the fast evaluation, while Minds works as the AI agent. You can give it strategies in plain language, let it monitor listings and receive daily summaries when opportunities appear. It also checks rarity and previous sales instead of blindly calling everything a buy. Every call is recorded and scored again after 24 h

我的 Jev 股票交易员，把我交给它的 10 万美元做到了将近 21 万美元，基本翻倍，大幅跑赢同期 S&P 约 60% 的涨幅。 2022 年 1 月 1 日，我给了它 10 万美元，又把 William O'Neil 的动量交易策略交给它，同时定下一条绝对不能违反的规则： 它每天只能看到当天早上市场参与者能看到的信息。 没有事后诸葛亮，也不知道哪些股票后来会成为赢家。 代码开源在这里： https://t.co/D4So9ZJf1q

用Jev做了一个预测btc 5分钟市场的涨跌的交易机器人 利用Jev的低延迟优势来取代量化机器人的公允价值计算，参考数据为流动性最好的币安btc合约市场的订单簿 交易策略为当前polymarket上涨跌价格比jev计算的低的话就买入，相同或者更高则卖出 测试金额为1000u来跑paper trading 围观地址 → https://t.co/ft4xrPoyRE

How fast is Jev? Can it keep up with Base's 200ms? 👀 I built a demo where you bet against Jev to predict Bitcoin's price the next second No sign up, no need to fund your account. It's all setup for you using account abstraction on Vibenet Try it out: https://t.co/v3bvCmGswu https://t.co/IaxHUzJWMB

I COMBINED JEV TRADING WITH 166,700 FRUIT FLY NEURONS, THIS IS THE MOST UNHINGED THING I’VE BUILT I took a reconstructed fly connectome and wired its activity into the same live market state Jev was already reading price moves → Jev scores the state liquidity shifts → fly network fires both agree → risk gate opens they disagree → nothing happens the first hour looked completely useless then the fl

Integrated Jev in my trading setup. I think I chose the wrong day to test this out. Missed all the fun today. Was able to finally make it all work by 2pm so only one trade. Will try tomorrow, lets see how it goes. Wish me luck https://t.co/nAAVh5Pk6B

Jev Engineering can make a https://t.co/kHgTxlkUry monitoring system faster and cheaper by keeping expensive models out of routine decision loops up to 201x faster and 456x cheaper in tests these are reported benchmark results and measured TRENCHNET performance figures here's how I applied this idea to tracking traders: observed trade → structured wallet history → graph context → Jev classifies th

JEV BOT ON GOD-MODE there is no catch and that scares me Elon Musk posted an idea that hit 19 million views: "the win is priced in before it happens" that's basically what Jev Bot does now - I gave it $65 and told it to earn its keep or get shut off $50 → $8,730 in 24 hours still running, still compounding - nobody's touched it since it started, it just sits on its own machine in the cloud while the markets move somewhere else every 8 minutes it: > scans every open market before the crowd catches on > checks how far the real signal has pulled ahead of what the posted odds still assume > only s

JEV BOT MADE MY BALANCE OVER THOUSANDS OVERNIGHT I put Jev between a trading agent and its wallet, funded it with $50, then left the loop running 22 hours later: $50 → $39,319,82 every five minutes it: > reads the latest market state > measures the signal against the posted odds > calculates whether the gap still clears fees > routes each check to the cheapest capable model > escalates only when t

it's absolutely insane JEV + NEW GROK BOT + RH API = ANOTHER $760 IN 13 HOURS the gap between a signal and an order is where copy bots die, but here is what sits in mine. > Jev turns a wallet move into one answer. > the harness acts on it. > every matched buy gets simulated twice. > the second run is against the limits you set yourself. > whatever survives both reaches the market exactly once. once, stopped, watch. three endings, nothing else on the floor. nobody has been at the keyboard since yesterday. am i should public the repo of this crazy tool?

8 Grok agents produced a full trade thesis. JEV was allowed to return only three values. In this concept simulation, the agents proposed $2,260 of DOGE, liquidity controls reduced it to $520 and the final router returned: decision: REJECT confidence: gated reason: stale_context Three fields turned a persuasive discussion into something the rest of the system could actually enforce. FENCE removed permission, RELAY sent nothing and the broker-request counter stayed at zero. That is the key difference behind Jev. TypeSafe built it around typed Choice, Score and Boolean outputs rather than unrestr

MY COPYTRADING BOT THAT MADE ME OVER $2,130 IN 6 DAYS HAS AN OPEN REPO NOW MORE THAN A MONTH OF WORK AND TESTING, AND THE RESULT IS FINALLY HERE. it's lintcha. one call to Jev per wallet move, and the answer comes back typed. everything in the repo is what happens after that answer: > follow a wallet and get told, with nothing prepared for you > copy its buys inside the caps and the expiry you set > reject anything outside those limits before it is signed there is no auto-sell path in the code. every exit is two actions you confirm yourself. zero runtime dependencies at the root, and the money

I connected Jev to Grok and gave them a Polymarket account for one night. I woke up to +$1,930. At first I assumed they caught one huge market. They didn’t. When I opened the logs, I noticed something much more interesting. Grok wasn’t actually deciding when to trade. It was estimating what each market should be worth. If Polymarket was at 52¢ and Grok believed the real probability was closer to 67%, that still wasn’t enough. Jev waited. It watched how the market reacted after new information appeared. 52¢ → 55¢ → 58¢. Only when the price started moving toward Grok’s estimate, but there was st

i genuinely don't understand why anyone is using combo of "Jev + Polymarket" as trading router. i just built jev layer with agenkit in my trading system that gave me edge to create alpha. i am openly leaking the cheatsheet. Bookmark before it's too late and start using Jev in your trading system.

A fully autonomous real-time trading bot built with Jev in one evening and morning, ingesting onchain and offchain data for rapid decisions, has lost $31,680 so far. https://t.co/lYAShIq9cg

MY JEV BOT MADE 1,260 DECISIONS FOR $0.11 AND EVERY SINGLE ONE OF THEM WAS WORSE THAN DOING NOTHING. The setup was clean. Three months of daily investment reports, one per day, fed to Jev on OpenRouter together with the current book. For every asset it returned buy, sell or hold with a probability on each option. A separate program sized positions off those probabilities and executed on real Binan

JEV BOT ON GOD-MODE there is no catch and that scares me Elon Musk posted an idea that hit 24 million views: "the edge disappears the second everyone can see it" that's basically what Jev Bot does now - I gave it $50 and told it to earn its keep or get shut off $50 → $8,310 in 22 hours still running, still compounding - nobody's touched it since it started, it just sits on its own machine in the c

I had Jev predict every nfl game this sunday and walked away with a 44% profit It found 5 bets with an edge. 4 won $67.14 risked → $97 payout We gave it fresh context through @p0 search, compared its win estimates on robinhood, and used the kelly criterion to size bets https://t.co/q30fydwjRg

I built a @Polymarket trading agent using @typesafeai's new model, Jev. Here is an example of it placing a profitable prediction on the 5 minute BTC UP/DOWN market. The code is open source: https://t.co/pR1HMEd9qE https://t.co/rtzhjm5Du1

I GAVE JEV $500 AND LET IT TRADE ON ITS OWN Built JEV to find trades and execute them without me sitting there watching it. → Scans live markets → Tracks sentiment → Filters bad setups → Trades when it finds something worth taking The run started with $500. Eventually it crossed $13K. By the time I recorded this: $13,213 → $13,710 → $14,202 Same system. Same account. I just kept it running. $500 t

it's f*cking insane JEV + GROK BOT TURNED MY $45 TO $1,900 IN 29 HOURS i gave it a Robinhood account and went to bed. grok wrote the harness, Jev sits inside it and gets one question per wallet move. > reads the move the second it lands > scores the wallet before anything gets copied > sizes the entry on its own read > skips whatever it cannot read cleanly copy. wait. skip. three answers, one call

I USED GPT-6 ASTRA TO CLONE 100+ OF THE BEST MEMECOIN TRADERS ON ROBINHOOD CHAIN. THEN I LET JEV PULL THE TRIGGER ASTRA + JEV = CABBAGE 52,110 decisions in 21.6 seconds. $0.37 in API. Nobody touched it Every call gets posted to X and Telegram automatically Anyone can follow the same calls 41,880 fills. 536 wallets scored. Only 12 made the cut. Astra built it. Jev runs it Every 20 seconds: > WATCHE

i just wired Jev to Polymarket... and it made me $1,573 in ONE HOUR Grok/Muse talk Jev decides SKIP / YES / NO in ~80ms. Sides agent fills inside the budget now it can be yours... https://t.co/6Tsd41YQCx

As promised… I just open-sourced the Jev X (twitter) Market Sentiment Analysis terminal powered by @typesafeai - Ingests 50 - 1,000 live tweets per crypto asset (e.g. BTC, SOL, ETH, etc.) - Scores each tweet for bullishness vs. bearishness using JEV - Combines social sentiment with live funding rates, RSI & volume - Detects short squeeze risks & outputs structured entry/stop/target cards - Built-in SQLite deduplication so you don't burn API credits on repeated searches Powered by Python, CCXT & TypeSafe AI's Jev model. Fork it, tweak it, build on it, or sell it ...but don't forget to enjoy