Jev for trading bots — a daily feed

i still don’t understand why everyone is NOT building 24/7 trading agents with opus 5.5 + jev this combo builds the MOST POWERFUL AI trading bots I have seen I wrote a 6-page research paper on exactly how to find and run profitable strategies 24/7 with opus 5.5 + jev from scratch along with the COMPLETE CODEBASE in RUST this is the exact system I have been running for the past 3 days and so far th

测试了Jev预测K线方向，感觉很不靠谱 基模用的Kronos，codex花了半小时给Kronos加了判断未来12根K线方向的任务头，最后在七个币种上回测过去两年的表现 优点是：快是真的快，本地1060显卡决策速度14ms，足够应付中低频交易 除了优点，剩下都是缺点：七个币种预测正确率不超过40%，期间还尝试了多维度K线输入，表现同样不佳。甚至不如我扔硬币预测的正确率高😅 所以我很好奇目前用Jev做交易的有赚钱的案例吗？还是都是噱头？

5,800+ quant trading strategies just got open-sourced with the codebase. spot, perps, grid, stat arb, market making, all with the math and parameters already inside. the setup: 1.⁠ ⁠pick a strategy 2.⁠ ⁠feed it into Claude Code with Opus 5.5 3.⁠ ⁠use AgenKit to build the bot 4.⁠ ⁠let JEV handle fast BUY / SELL / HOLD decisions 5.⁠ ⁠keep hard risk controls before execution Opus thinks. JEV reacts.

Paying the spread is over. Guessing gas costs is over. jev trader beats manual market making and blind gas estimation at zero extra rpc calls replace your trading loop with two calls a block, on monad it takes minutes to set up: 1/ clone the repo, skip the private key 2/ watch it dry run against the real order book 3/ that's it. Repo in replies.

I BUILT AN HFT ALGORITHM WITH JEV + OPUS 5.5 FOR SPORTS TRADING Results: +$246,131.94 The algorithm recalculates probabilities, accumulates opposite outcomes and keeps extra exposure where the model sees an underpriced contract: 1. Turns match data into a price Opus analyzes team strength, lineups and expected goals. Jev tracks changes that require recalculation For both teams to score, it uses an

I gave 200 Jevs a made-up stock to trade. Then I dropped in a big seller dumping shares. The Jevs were 3× as likely to buy as in an identical market with no seller (33% vs 11%). Higher in all 4 test runs. TLDR: Jev bought the dip https://t.co/jBLEm4Jeb2

One Polymarket account turned sports betting into a payoff curve. +$4,243,081 on football, tennis and NBA. built with JEV + Claude Opus 5.5. look at where the money came from: PSG to win the Champions League, bought at 2.5¢ → +$699,407 Arsenal to win the Champions League at 2.3¢ → +$546,543 Zverev to win the US Open at 49¢ → +$1,051,093 England to advance vs Mexico at 52¢ → +$550,176 Spain to win

i built a full QUANT DESK with jev and opus 5.5. zero analysts on payroll. the trick isn't smart agents. it's clean HANDOFFS. each one passes exactly ONE thing: SCOUT → 3 leads, not 30 headlines ANALYST → thesis + the exact condition that KILLS it QUANT → evidence from every past event. no stats, no handoff RISK → the SIZE. it cut our trade from 12% to 4.8% before anyone asked PM → one ticket. jev

MY 244 JEV AGENTS MADE 80,233 DECISIONS IN 14 DAYS AND TOOK 90 TRADES Scanner fired 39,096 times. Gate blocked from 17,688. Risk only spoke 1,177 times. Risk is the smallest number on the mesh and it holds a veto on every link. Journal ran 9,366 calls. More writing than routing. 1.88 million tokens a day. The entire 14 day run cost $18.21. $1,000 became $6,213.96. 891 decisions for every trade tha

most “AI trading agents” are just a prompt with permission to place orders. that’s the part i wanted to remove. i built a two-model trading architecture where Opus 5.5 researches and writes strategy code, while Jev makes a separate, constrained decision about whether the current market state actually permits a trade. one model can propose an idea. it cannot talk its way past the execution gate. i

I BUILT AN AI THAT BETS AGAINST EVERY TRADE I MAKE. 9 DAYS LATER IT'S UP 14X AND I'M DOWN 43% it: $500 > $7,340 me: $500 > $287 same market. same 9 days. opposite sides the worst part isn't the money it's what it wrote in the logs about why it works "he is the most reliable signal i have ever seen" last week i built an AI that refuses to trade like me this week i went further. i stopped trying to

this is f*cking unreal, the scariest trader in crypto right now isn't human i've been watching this jev desk run and honestly it barely does anything that's what makes it scary binance and bybit are throwing 200k+ messages a second at it, plus onchain and X on top it reads all of it, and then it mostly just... doesn't trade last night it went through 120,000 ticks took 11 trades made $14,871 the o

jev-bois (@krishgupta72 @NambisanAman) 9 code rails + 4 jev checks on a finance agent. A lookalike bank change "confirmed" through an accomplice's phone number gets blocked, and the agent is steered to call the real vendor. Tested on 60 scenarios. https://t.co/x7g5DF1FCz

The $BTC 15M bot is the original fine tuned version with jev gates. Then I let GPT6-Astra and OPUS 5.5 create, test, and deploy their own 15M Kalshi trading bot. We'll let them run for 24 hours and see who wins. Then we'll let each model make any changes they want to them on a daily loop. Follow at https://t.co/rJ1bjWzeha

BREAKING: JEV and GROK BOT just turned $45 into $1,900 in 29 hours a trader gave them access to an account and went to sleep Grok wrote the system. Jev goes in and responds to a single question every time a wallet moves Wallet → Reading → Score → Size → Decision → reads the movement the second it comes in → scores the wallet before copying anything → decides the entry size on its own → skips anyth

我被自己开的交易台，炒了。 昨晚，JEV加六个GROK机器人，一个班次，干出67%。我的1000美元，变成20,974.63。 1000 → 3,833.92 → 9,118.21 → 12,539.36 → 20,974.63 最后一跳，+8,435.27。我把日志翻了两遍，才敢确认这不是幻觉。 说句难听的。我就是这个交易台上，最烂的那个交易员。买在最高点，然后死拿到底。 现在这个台子有七个员工。没一个是人。 Jev，负责挑币。看了81个，扔掉80个。全程一个字不说。 TAPE，读图。 PRICE，等回调，再出价。 WIRE，查这个币的X账号是不是假的。 SIZE，定仓位，永远不超过本金三分之一。 EXEC，下单。 RISK，只要哪里出错，直接砍。 那个币叫WOW。开盘买入并死拿的人，赚了26%。同一张图，我的七个员工，赚了67.27%。 记录在这儿。 02:50，212万市值买回调，0

i built DAMM and DLMM V2 bot with Jev https://t.co/LPl8ezAkl2 this is not a trade advice do your own risk https://t.co/gyVAo5TKCC

我在煮意面、睡觉和健身时，Jev 加 6 个 Grok 机器人把 1000 美元滚到 44,198.24 美元。 机器人筛选刚出生的币，分工负责扫描、仓位、买入、记录和防止追涨；同一张图里，机器人赚到 42.38%，而简单买入并持有反而亏损。 这类结果极其激进，最值得研究的是分工、日志和止损规则，而不是直接照抄收益率。 更多 AI 交易工作流，主页持续更新。

Build your first AI trading bot with Jev + Opus 5.5: I recently built a custom Jev + Opus 5.5 trading bot, and it's THE most powerful bot I've built. Opus 5.5 for high-level strategy, and Jev for quick/cheap decision-making. I couldn't recommend this enough (copy me): https://t.co/yY5m1kOypQ

WHOEVER ISN’T PAIRING OPUS 5.5 + JEV FOR TRADING IS MISSING THE PLAY OPUS 5.5 handles the strategy and reasoning. JEV handles the fast trading decisions. RUST handles the execution. 24/7 AI trading agents with the whole stack working together. I’ve been running this setup for the past few days and the results are VERY interesting. FULL BREAKDOWN BELOW https://t.co/4Td1kVgdvN

I FED CLAUDE 2 YEARS OF MY LOSING TRADES AND GAVE IT ONE RULE: NEVER TRADE LIKE ME $300 → $790 → $2,140 → $5,380 → $11,760 5 days. i haven't touched a single button 847 trades. 71% of them lost money i thought i was unlucky. claude read all of them in 40 seconds and told me i was predictable here's what it found: i buy after 3 green candles in a row i revenge trade within 9 minutes of every loss i

貌似，社区对 Jev 的吹捧有点过热，过乐观了 我把去年 1万多条帖子，整理好发给 Jev, 让它预判我过去 6个月的帖子，找到那些阅读大于 50000，或点赞超过 500的 结果，它一条都没找到，一条都没 https://t.co/jD5FaCb3Eh

jev + opus 5.5 running a market maker on solana is kind of insane to watch here's one full decision on a 400 ms solana slot: → read the order book, ~50-150 ms → jev scores flow, risk and next action, 100-200 ms round trip → code checks the risk gate and deadband, under 1 ms → post-only order signed and sent, ~50-100 ms that's a whole loop in about 300 ms, with room to spare before the next slot. a

التجربة الخامسة مع JEV 👇 سويت له Paper Trading Desk يقرأ بيانات السوق الحقيقية بـ Replay يشغل 6 Agents يحلل ويقرر ويمرر الصفقة على Risk وبعدين ينفذ Paper Trade فقط المهم JEV نفسه هو اللي داخل بالقرار جربته على BTC وفعلاً شغال من البداية للنهاية #AI #JEV #AIAgents #Trading https://t.co/FwGdmR5tY0

this is f*cking insane this prompt is built to find you a $10,000 trading edge it turns claude opus 5.5 + jev into a 24/7 AI quant research desk that never stops looking for new strategies it tracks funding, open interest, liquidity, volatility, spot/perp basis, macro events and on-chain flows then every idea gets forced through the full pipeline: research → signal → backtest → cost model → stress

MY JEV AGENT RAN 30 DAYS ON $1,000 AND NEVER RISKED MORE THAN $10 AT ONCE 118 trades. 57% win rate. Average R of 0.24. Working capital never went above 40%. The other 60% sat in cash the whole month. Day 12 was the worst: -$23.80 and 6 stops in a row. It cut size to 0.5R on its own. Day 27 printed the equity high at $1,301.40, then gave 1.3% back into the close. Closed at $1,284.88. Fees $31.20. M

株の情報スクリーナーをJev使ってディスコードに重要そうな通知流れるの作ったけど、今まで自分で拾えてた情報を、Jevがもう一回分類してWikiに保存するだけなら、情報収集インフラが豪華になっただけな気がしてきた。 聞いたらその通りです✌️は草 https://t.co/jZe11Z7kbj

A one-person hedge fund used to be a meme. now it costs tens of dollars a month Opus5.5 researches the market and writes the strategies overnight jev executes them on every block, with calibrated confidence i broke down exactly how in a research paper: how the reasoner finds edges, how jev trades them, how the system improves itself every night COMPLETE Rust codebase attached this is what i've bee

I turned $150 into $2,850 in 7 days trading BTC with Jev. That’s $2,700 in realized profit from closed trades, after trading costs, with no additional deposits. I ran 50 agents feeding the system. One of Jev’s decisions caught me off guard. It was a move I don’t think I would have come up with myself. But a week like this creates a harder question than “Can AI trade BTC?” Was there a repeatable ed

the SMARTEST agent in jev's opus 5.5 hedge fund isn't the one that finds trades. it's the one that KILLS them. jev built a 5-agent trading desk on opus 5.5. here's the exact setup: 1. SCOUT reads news and filings. returns 3 leads, not 30. its only job is to FILTER. 2. ANALYST turns one lead into a thesis. why it should work, and what would prove it WRONG. 3. QUANT tests the thesis on history befor

@bot NFL PropDesk Grok Bot template: TypeSafe Jev stamps on props & totals — zone + language-support probs. No picks. No place. https://t.co/83jqFf8GQe 18+ · 1-800-GAMBLER #GrokBot #jev

JEV Is Disrupting the Boring Part of AI Agents. We Used It to Build a Trading POC for About $0.00025. Short write-up here 👇 https://t.co/kBBaviFm5X #AIAgents #JEV #OpenRouter #AgenticAI

Spent last weekend vibecoding Polyhedge with jev for polymarket's event contracts. The idea is: describe what’s you are exposed to , then explore hedges built using polymarket event contracts—what they cost, what they cover, and what’s still exposed. Still very much beta, but would love some feedback on the hedge quality and product . Do the cover matches actually make sense for your exposure? try

@0xwhrrari Thanks for this. Best part for me: reject tasks that still need open-ended writing or exact rules, and roll back if the numbers don't improve. I've been using Jev in finance agents for RAG retrieval and as an LLM replacer on bounded calls, and cost has been the standout. https://t.co/F4dvdVsCHn

4/ tell Jev to act like a market maker or a fundamentalist and it trades more like one. but it never trades better. paper + code: https://t.co/WKGwItBhEu https://t.co/E8zDAjIWEB

To be fair: boosting's 0.52 isn't enough to beat exchange fees either. Price-only 5-min prediction is hard. Scope: jev-1.13.0, BTCUSDT 5m, price data only. The whole test cost $0.19 in API calls. https://t.co/loUQKChpdF