⚡ Smart Money • Prediction Markets • Onchain Research | Looking for opportunities where others aren't https://xitter.cf/t.co/bZKXkspLXg

Joined September 2023
I must admit - $ZC intelligent scammers who got very stupidly burned The technology was impressive Now everyone will give a damn about her
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$WALLET just got the most brutal narrative rug imaginable run to $84m because everyone thought the Robinhood connection was real then Robinhood Wallet basically said: yeah… we don’t know that shit $84m → $20m Down 64mil in one 168k clip no exploit no hack no dev dump just one warning from the actual brand the ticker was farming the narrative got rugged by the narrative itself
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找到属于自己的强项 手速快就去PvP,新闻交易 拿得住就去找叙事强的少买点死拿,或者去走埋伏流 资金多就玩确定性事件 有影响力大有私域流量就去联合做局 总能找到属于自己的赚钱赛道 You can you do
昨天在米神群里唠了一会 结果图传的遍地都是 我说的也是实话 给我2bnb 一个新钱包 没有后手的情况下 还能每天砍这么多,我肯定搞不来, 已经习惯了交易习惯和逻辑 我基本就是不止损玩法,叙事好的跌了抄底拉均价,一个市值比较高的项目我会合理的波出本金,这都是小资金无法构建的玩法 一直赚的都是大趋势的钱,提前比一些人切入,提前感觉到哪个链会活跃 买在无人,卖在沸腾 我应该只做到了前面,后面每次都是利润回吐的严重 珍惜行情,赚钱行情的钱
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I STILL DON'T GET HOW PEOPLE ARE SLEEPING ON GROK BOT one line and it visualized a perfect trading desk. every agent with its own job, all live on one screen > SCOUT. hunts new coins the second they mint > SNIPER. takes the entry and sizes it before the crowd > RISK. kills any trade that fails the checks > EXIT. trails the winners and locks the profit > HEDGE. covers the downside when the market turns > FINANCE. sweeps gains to a cold wallet, logs every fill a Chief of Staff runs all of them. only the big calls come back to me a full trading desk on one screen. bookmark this.
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so this happened... > fresh wallets buy $ millions of $CASCHAT > token gets listed on Robinhood 2 days later > they're now up +$3M nothing to see here 🍿
JUST IN: 🐳 A cluster of fresh wallets bought $2.7M of $CASHCAT last night The token is up 2x Coordinated?
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We put 100 real AI-powered robots online. Anyone in the world can control them right now, from a browser. Go make one do something:
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Looks like Robinhood chain memes are dying Will they recover or was this just short term hype?
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This guy retired from buying $CASHCAT $150 flipped into $2,000,000
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These onchain rotations are wild Everybody is just rotating their liquidity from Solana coins into robinhood coins We need new money to come in
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$8.6 Billion was spent inside GTA Online. Creators got exactly zero of it. GTA 6 changes that. Rockstar built the marketplace, it's been live since January 2026. > 1 script/week × 26 weeks = 26 products before launch. > FiveM devs report €5,000/month within 90 days on Tebex. > Claude Fable writes every line of code, you just publish. > Early catalog = reviews, ratings, organic discovery on day one. The game launches once. The infrastructure pays indefinitely. Bookmarked and Learn it ↓
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rockstar quietly turned gta modding into a paid storefront. almost nobody is positioned for it you're waiting for nov 19 to play it the people who'll actually cash out are building right now what actually happened: > take-two bought fivem back in 2023 > the official cfx marketplace went live jan 12, 2026 > bundles already listed up to $389 > recurring server mods at ~$24/month > all of it runs on tebex the same rails modders sold on for years the skill barrier just died too: claude writes lua. job systems, custom huds, npc dialogue describe it in plain english, get working scripts back in minutes here's the part nobody says out loud: the marketplace is invite-only right now. ~16 creators at launch that's not a wall. that's a head start for whoever applies and ships first gta 6 drops nov 19 at $79.99 millions of players incoming. an official store that's basically empty. and a months-long review head start sitting there for the taking gta online creators made $0 off a game that printed billions that door is finally open and it's open early save this
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This memecoin developer accidentally burned his tokens while on livestream He lost $1,500,000 in seconds Absolutely insane
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I genuinely don't understand why everyone isn't using this yet Andrej Karpathy, a co-founder of OpenAI, posted a simple idea that hit 16 million views: stop using AI to write code, use it to build a second brain. You point Claude Code at a folder, drop in any source, an article, a transcript, a PDF, and Claude reads it, links it, and files it into a living wiki of everything you know. It compounds like interest, the more you feed it, the smarter it gets. Here's the whole thing: > Install Obsidian, create a vault, open it in Claude Code > Paste Karpathy's wiki idea file and tell Claude to build it > Claude makes three folders: raw for sources, wiki for its pages, a CLAUDE.md that runs it > Drop any source into raw and say "ingest this" > Ask questions across everything, forever Five minutes to set up, and you never start from a blank chat again. Full step-by-step guide with Claude and Obsidian, link below. Bookmark this
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hand trading is a pure death wish because your amygdala hijack will literally donate your entire portfolio to my algorithms you can clone my openclaw setup to mechanically extract liquidity from the markets while the timeline trades on pure emotion can you drop the raw video transcript below so i can perfectly dial in these exact hooks for this specific alpha
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This trader used Claude to build a Quant Bot and made +$104,043 on Polymarket Since Apr 2, this wallet has been making about $1,351 a day and a little over 22 trades per hour 40,774 predictions with a 51% win rate in 77 days This trader’s Polymarket account:polymarket.com/@ivy56?via=da… This trader started with $219.7K in deposits and is now sitting at roughly +41.1% ROI The bot strategy is simple: > It looks for short crypto markets where the odds are still out of sync > Gets in before the repricing is finished then keeps hitting the same setup across a huge flow of entries > The result is not driven by one big win, but by repeating the same edge over and over Most profitable trades: $62 → $1,745 (+$1,683, +2,693.86%) $27 → $1,365 (+$1,337, +4,784%) $79 → $1,350 (+$1,270, +1,595.75%) It is the ability to keep exploiting tiny short-window pricing errors until they stack into a large PnL
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He turned $413 into a six-figure trading record - starting with a Mac Mini and a stack of Warren Buffett books. He wasn't a quant. Never worked a trading desk. Just read the same Buffett letters until one line stuck. Never bet on what happens. Bet on what's mispriced. So he gutted a Mac Mini into something it was never built to be. Stripped the OS to bare metal, wired it to a probability engine. No internet once it's running - a closed box pricing its own odds. First version barely worked. It guessed direction like every other bot. It lost like every other bot too. Then he rebuilt the logic around the one idea that actually translated. Don't predict the event. Price the odds. Only move when the market's price disagrees with the math. 36,853 trades later, almost none of them big. A few dollars here, sometimes under $20 each. His biggest single win: $4,480. Barely a rounding error against the real number. $318,401 in total profit - nearly all of it built from trades too small to ever screenshot. His balance sitting in the account right now is just $413. That's not the part that matters. What matters is the box still running quietly, built on patience borrowed from a 95-year-old investor. He packaged it into a one-click launch. Anyone can run the same box now. Bookmark and start following this quant.
He made 43,973 trades on Polymarket. Most people don't make that many decisions in a decade. Six months ago he ran a normal bot - one that guessed direction and hoped. It worked until it didn't. Then he rebuilt it on Claude Fable 5. The old bot asked one question: up or down. Fable 5 asks a different one. It draws the entire probability surface of the next 15 minutes - every outcome, priced at once. Not predicting the candle. Pricing every version of it, then trading the ones the market got wrong. The market kept handing him round numbers - 50/50, 54/46. That's all a human trader needs. Fable 5 doesn't round. It finds the 50/50 that was actually 58/42 three minutes ago. He stopped picking trades. He let it run - 3AM windows, BTC, SOL, ETH, XRP, on repeat. Thousands of tiny corrections nobody else was awake to make. His biggest single payout: $44,000 on one market. Sitting next to a string of $4 and $9 wins. One stretch shows him pulling $124.5K profit against $12.5M in volume. Too small to brag, too steady to be luck. His balance sits around $6,600 right now. That's not the story. The story is 43,973 decisions, made by something that never sleeps and never needs to be right by much. Bookmark and start following this quant.
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Z ai’s GLM-5.2 is the new leading open weights model on the Artificial Analysis Intelligence Index scoring 51 and it sits on the Pareto frontier of Intelligence vs Cost per Task @Zai_org’s GLM-5.2 is the same size as GLM-5.1 (744B total / 40B active parameters) but scores 11 points higher on the Intelligence Index v4.1, placing ahead of MiniMax-M3 (44) and DeepSeek V4 Pro (max, 44). On the first-party API it is priced in line with GLM-5.1 at $1.4/$4.4/$0.26 per 1M input/output/cache hit tokens Key results: ➤ GLM-5.2 is the leading open weights model on the Intelligence Index v4.1. At 51, it leads MiniMax-M3 (44), DeepSeek V4 Pro (max, 44) and Kimi K2.6 (43) ➤ Improvements across most evaluations, particularly scientific reasoning: GLM-5.2 gains over GLM-5.1 on most evaluations, led by scientific reasoning on CritPt (+16 points to 21%) and HLE (+12 points to 40%), alongside AA-LCR (+9 points to 71%), tau3 banking (+15 points to 27%) and SciCode (+7 points to 50%). TerminalBench v2.1 also improves (+16 points to 78%) and GPQA Diamond gains 3 points to 89% ➤ Leading open weights model on GDPval-AA v2 and competitive with proprietary models: GLM-5.2 scores 1524 on GDPval-AA v2, ahead of MiniMax-M3 (1418) and DeepSeek V4 Pro (max, 1328). This impressive result places GLM-5.2 in-line with proprietary models including GPT-5.5 (xhigh reasoning). GDPval-AA v2 builds on the original GDPval-AA by baselining Elo to human performance at 1000, introducing a rotating panel of frontier-model judges, and raising the turn limit from 100 to 250 for longer-horizon agent trajectories ➤ GLM-5.2 uses more output tokens per task than other leading open weights models: the model uses 43k output tokens per Intelligence Index task, up from GLM-5.1 (26k) and above MiniMax-M3 (24k), Kimi K2.6 (35k) and DeepSeek V4 Pro (max, 37k) ➤ On the Intelligence vs. Cost per Task Pareto Frontier: GLM-5.2 is on the Pareto frontier of the Intelligence vs Cost per Task chart, with the lowest cost per task among models at its intelligence level. GLM-5.2 costs ~$0.46 per task, compared to GLM-5.1 ($0.25), Kimi K2.6 ($0.31), MiniMax-M3 ($0.18) and DeepSeek V4 Pro (max, $0.05) Additional Model Details: ➤ License: MIT ➤ Size: 744B total parameters, 40B active parameters, equivalent to GLM-5.1 ➤ Context window: 1M tokens, up from 200K on GLM-5.1 ➤ Pricing: $1.4/$0.26/$4.4 per 1M input/cache hit/output tokens ➤ Availability: Alongside Z ai's first-party API, GLM-5.2 is available across third-party providers including @DeepInfra, @novita_labs, @nebiusai, @parasailnetwork , @SiliconFlowAI , @gmi_cloud , @Baseten and @FireworksAI_HQ
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Himanshu Kumar
@codewithimanshuJun 17
My girlfriend asked why I was smiling at my phone at 3AM. I lost my job last week. Rent due in 4 days. No backup plan. Then I found a 33-year-old nerd who turned $1,000 into $946,207 trading Bitcoin with a trick he stole from hurricane forecasts. No finance degree. No trading desk. Just a method every meteorologist uses and every trader ignores. The method: meteorologists never forecast tomorrow with a single model. They run 31 and count the votes. He applied that exact framework to Bitcoin. Built a Claude agent that reads every 5-minute BTC candle and feeds it into MiroFish simulator running 31 parallel prediction paths. Trade only fires when 28 out of 31 models agree. Below 26 votes? Trade dies instantly. The agent moves faster than any human trading desk: → Collects market data 24/7 without breaks → Runs continuous simulations inside MiroFish engine → Operates fully autonomous with zero manual input → Every trade executes only when consensus hits threshold → Every dollar captured is pure market inefficiency exploit That is the entire edge. Not prediction. Consensus. Position sizing follows Kelly criterion. Signal fires or it does not. Most signals fail the vote count, so the system stays flat most days. He spent years learning that certainty is a scam and consensus is the only edge that matters. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word Claude 2. Like and retweet this 3. Follow me @codewithimanshu so I can DM you Save this post. Build the consensus system this week. Start with $200. Scale on evidence.
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your favorite crypto influencer is lying to you while real algo traders are quietly printing money on polymarket. i spent an entire day testing machine learning models on five minute markets to expose the brutal truth. one model actually found a 57 percent win rate so i am leaking the exact python code to ruin the gatekeepers.
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GOOGLE EARTH HA METIDO UN SIMULADOR DE VUELO EN EL NAVEGADOR 🛩️ Sin instalar nada. Abres la web y despegas. Cómo funciona: → eliges avión: SR22 si empiezas, F-16 si quieres subir en vertical y no parar → despegas desde tu ciudad o desde un aeropuerto real → controlas con ratón y teclado (o joystick) → HUD completo: rumbo, velocidad, altitud, inclinación Ya está disponible y abierto para todo el mundo en su versión de escritorio.
Prepare for takeoff. ✈️ Flight simulator is now available globally on web to all users. goo.gle/4fBYnWO We've recently added many our most powerful professional desktop features to web. Elevation profiles, new import types, but there's always been one other feature you've been asking us to add to the web version of Google Earth, just for fun... Where will you fly? Share your best maneuvers, views, and flyovers with us!
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