cvxv666 (@antpalkin)

Grok Bot by Elon Musk just replaced a $294,000 Wall Street research desk. Six AI agents, $200 a month, doing the work BlackRock pays people six figures for. The guy who built it published every prompt. What that desk cost before the bots: > $27,000 a year for the Bloomberg terminal > $22,000 for Refinitiv > $50,000 for sell-side research > $15,000 for AlphaSense > $180,000 for the junior analyst who reads all of it until 2am so somebody senior can trade on it before the open $294,000 a year. The agents cost $2,400. Same brief, 122 times cheaper, and it is there before the open. Six agents split that desk. Each one gets its own computer in the cloud, and they all write into the same vault. > FILINGS reads every 10-K, 10-Q and 8-K on a 100-ticker watchlist overnight and flags the ugly parts: going concern language, auditor changes, restatements > EARNINGS reads the call transcript within 24 hours and tells you if the CFO got quieter than he was last quarter > SECTOR does one pass per sector and picks up the rule change nobody read > INSIDER catches Form 4 buys over $1 million and new positions from Two Sigma, Third Point and D.E. Shaw the day the 13Fs land > CHATTER counts mentions on X and flags any ticker three standard deviations louder than its own 30-day normal > CHIEF OF STAFF reads the other five at 5:30am, bins anything only one of them flagged, and emails you the ranked brief at 6 One analyst covers 30 names. Six agents cover 3,000 and finish before the open. You show them the job once. They repeat it every night with your laptop shut. Every research floor on Wall Street was priced on reading being slow and people being expensive. Both of those stopped being true this month. So you wake up, read for five minutes, and know what moved on every name you hold. That used to be somebody's entire job, and he got a bonus for it. The article below is the step by step guide to building the whole AI trading machine. Save & read it, you will want it open while you build.

Jane Street quant just stole and fit a $40-million trading brain inside a box that costs $4,000 and quietly walked out of the building with it. It's the new AMD Ryzen AI Halo. Eleven weeks later, that computer has made him $400,000 - from his bedroom. His wallet: The model doesn't guess where Bitcoin goes. It simulates it. Every five minutes it reads the candle into a pattern net - break of structure, order blocks, the gaps where liquidity hides. Then it hands that read to MiroFish: a simulation that runs the next five minutes forward thousands of times, sorts every path into three outcomes - bear, neutral, breakout and threads the median straight through them. That median is where price actually lands. Not where the crowd hopes. When that fair value drifts 15¢ off the live book, the edge is real. It sizes by Kelly and fires. One button, no nerves. On the firm's cluster, one simulation like that ate serious hardware. The Halo box - 128GB of unified memory, a 200B model held whole, runs thousands a minute, offline, while he sleeps. No cloud. No login the firm can kill. The desk still owns the model. It just can't aim it where he aims it - Polymarket's too small for a fund that size to touch. He took the edge home. Two clicks and you trade right beside it:

This 27 year old ex-crypto miner pointed a $4,000 mini PC at Polymarket and turned it into $1,000,000 - in under three months. U.S. export-controlled Claude Fable 5 last week and cut every cloud trader off overnight. This guy didn't even notice. No cloud. No subscription. No model anyone can ban. Just a box on his desk, trading Bitcoin while he sleeps. His bot wallet: It's an AMD Ryzen AI Max+ 395 - 16 cores, a 50-TOPS neural engine, 128GB of unified memory. His AI never touches the internet. That memory is the whole trick. A normal gaming GPU holds 24GB - a toy. 128GB unified holds a 200-billion-parameter model whole, nothing offloaded. A frontier brain, running offline, in his apartment. It doesn't predict price. It runs the full probability map of every 5-minute market, thousands of times a minute, and hunts the bets the crowd prices at zero. When its math says a 0.2¢ longshot is really worth 1.6%, it buys the "impossible" for pennies. One paid x32. No data center. No leased GPU. No off-switch but his. They can pull a model from the cloud in one night. They can't raid a box on a guy's desk. $4,000 of hardware. $1,000 of stake. $1,000,000 out - still running tonight. You don't need the box. You need the wallet it trades. Copy in two clicks:

A 33-year-old weather nerd just turned $1,000 into $946,207 trading Bitcoin - with a trick he stole from hurricane forecasting. No finance degree. No trading desk. Just one trick every forecaster lives by and every trader forgets. Public wallet: The trick: forecasters never call tomorrow with a single model. They run 31 and count the votes. He aimed the exact same trick at Bitcoin. A Claude agent reads each 5-minute BTC market into MiroFish - a simulation that runs 31 model paths and only fires when 28 of them agree. Below 26 votes, it kills the trade. The agent system coverage speed is far higher than any top-tier trading team. They collect data 24/7 and run simulations using that data in the MiroFish engine - completely autonomously. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. That's the whole edge. Not a prediction. A quorum. It sizes by Kelly and presses one button. Most signals never clear the vote, so most days it sits idle. He spent years learning that certainty is a scam and consensus is the edge. Forecasting the weather never paid him a cent. Forecasting Bitcoin the same way just paid him $946,000. But you don’t have to build your own bot - you can copy every single trade this algorithm makes with 0ms delay using this TG bot: