
cvxv666
@antpalkin • 17,422 subscribers
27 | research AI since 2021 | now looking for edge on quant trading with AI
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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.
cvxv666809,002 views • 15 days ago

I gave Elon's Grok Bot $1,000 and one rule. Grow it or I delete you. 15 hours later it is holding $3,900. Every trade of it landed on a public address. No private account and no screenshots, nothing here sits behind my word. Every cycle it: → reads the news and the filings before the rest of the market gets to them → checks who is putting money behind the story, not who is talking about it → scores the idea and sizes it against a hard risk cap → writes the exit before it takes the entry → logs the fill, the slippage and the fee separately → reads its own losing trades at night and rewrites the rules by morning It does not care what you trade. Gold, oil, a stock you inherited or a coin that launched an hour ago, the rules are the same. Setup took one evening. Create the chief of staff, hand the rest job titles the way you brief new hires, run one task on your screen while they watch, connect Telegram. Nothing to install past the app and nobody to wait on. Morgan Stanley pays a person six figures to do one slice of that job. Mine costs $300 a month, and it does not sleep, does not get bored, and has no opinion about last week. 15 hours in and it sits at $3,900. What do you think it has in a week? The whole build is going up soon. Every job title, every prompt, so anyone can stand one up.
cvxv666342,243 views • 8 days ago

Elon's Grok Bot runs an entire trading desk for $300 a month. The person who does that job at Goldman starts at $200,000. Mine took $1,000 to $3,900 on day one, out of a wallet anyone can open and read. Most of the build is not about making it trade. It is about stopping it. Every agent's job description ends with a list of what it may never do without asking me first. One of the six is not allowed to trade at all. Its entire job is killing what the other five found, and its no beats every score on the desk. The one that makes the final call never touches the market either. You could have this running by Friday. Most people reading this will not, and in a few months they will be paying somebody who did. The whole build is in the post below ↓ Save it while it still sounds strange. Give it a quarter and this is just how a retail account works.
cvxv666206,211 views • 7 days ago

Citadel fired their best quant. He rebuilt their entire algo with Claude Fable 5 in 48 hours - and he's up $430,000 trading it against them. He didn't take a single file. He didn't need to - ten years of that logic lived in his head, and you can't raid a memory. Wallet proof: Here's the engine MiroFish runs - and it's rigged in his favor. Picture a Galton board: a ball dropping through eight rows of pegs, bouncing left or right at random. One ball is chaos. Thousands of balls always fall into the same bell curve. That's the law he weaponized. Every ball is one trade. Each row is a volatility gate - news, liquidations, order-book flow, things nobody controls. On a fair board every gate is a 50/50 coin flip. His model tilts each one to 0.54 - four cents of edge that only shows up when fair value splits from the book. Four cents sounds like nothing. Compound it through eight gates, thirty-two thousand times, and the whole bell shifts right of breakeven: 71% of trades land green. $93 of edge per trade. $430k across the distance. Watch the win rate converge in real time - it swings between 50 and 85% for the first few dozen trades, then locks on 0.71 and never leaves. He doesn't predict a single trade. One trade is a coin flip. Eighteen thousand is mathematics. They thought firing him protected the edge. They just handed it a grudge. Copy the wallet quietly out-trading a $60B fund before they connect the dots:
cvxv6662,461,612 views • 2 months ago

Grok Bot is not one AI. It is a company that hires and fires itself while you sleep, and mine made $2,900 overnight. You never talk to the workers. You talk to one agent, that agent hires ten, and those ten hire a hundred. By the time you read one answer, dozens of them have existed and been shut down. Nobody named them. Nobody ever will. BlackRock needs 20,000 people and a risk system watching trillions. I pay $300 a month and I named the boss myself. I handed mine $1,000. 15 hours later it was holding $3,900, and I slept through most of it. A new kind of company, and it fits on your phone. The whole build is in the post below ↓ Save it, because the next time somebody tells you AI is just a chatbot, this is the post you send them.
cvxv66654,436 views • 5 days ago

Grok Bot by Elon Musk is about to become the first AI agent trading on chain in public. One wallet, $1,000 in it, and an address anyone can open. It built me a memecoin research desk and then automated itself out of my hands. 7 agents, no people, running while i sleep and rewriting their own rules by morning. > SCOUT sits on pumpfun and catches every deploy the second it lands > HYPE reads mention velocity straight off X, the feed nobody outside xAI gets > CHATTER lives in the pump and fomo comment rooms and scores every caller, who moves price and who shows up after the move > FORENSICS traces the funding chains, so five buyers that are really one guy get labeled as one guy > SAFETY runs the CA check before the desk is allowed to want anything, mint authority, freeze authority, LP lock, sell tax > TRADER writes the exit before it takes the entry, every single time Chief of Staff never trades. It reads the five briefs, scores the call and sizes it. SAFETY can kill any of them at any score, and a kill does not get appealed. Every night it reads its own losing trades and rewrites the scoring rules by morning. I see the diff. I do not write it. No screenshots, no PnL flex out of a private account. One address, every fill, every mistake, in public. It will lose money on some of these, and it will be on chain inside the same minute. I am not going to soften it later. A desk like this used to mean huge salaries, an office and somebody watching the screens at 3am. Mine is a subscription and a wallet. The address goes live by 22:00 UTC. Thank you to the xAI team for the belief and the unlimited Grok Bot tier. You handed me the whole thing and never once asked what I was going to do with it. Thank you to everyone here. This is happening because you kept telling me to stop planning it. I think we are about to run the boldest experiment modern finance has ever been allowed to watch live. God bless us.
cvxv66695,530 views • 11 days ago

BlackRock runs on 20,000 people. Elon's Grok Bot runs the same shape for $300 a month, and it hires its own staff. You do not get an assistant. You get a company that hires. It does not throw ten agents at your problem and hand you the pile. It makes one agent that makes 10, and those ten make a 100. > LAYER ONE is one agent, the chief of staff, and it never touches the market > LAYER TWO is six desk heads, one job each, every one on its own computer with its own logins > LAYER THREE is whatever those six decide they need, spun up on the spot and shut down when the work is done Nobody writes a task list. You hand out job titles and the org fills itself in underneath. The swarm is never the same twice. Agents get spun up for one job, finish it, and are gone before I ever read their names. Not one of them sees the whole picture. The answer only exists after they hand off to each other. Wall Street cannot copy that. You cannot hire a hundred people for eleven minutes. BlackRock holds that shape together with a risk system called Aladdin. Mine holds it together with one agent that is only allowed to say no. I gave it $1,000 and told it to grow the money or get deleted. 15 hours later it was holding $3,900, on an address anyone can open and read. I was asleep for most of it, and I have still not written a line of code. The whole thing runs with my laptop shut, because none of it lives on my laptop. Setup is one evening. Create the chief, hand out the titles, run one trade on your screen while they watch, connect Telegram. Ten years ago a machine this shape had its name on a tower. Mine has a name I typed into a box. Save this while the whole thing still fits on one screen.
cvxv66645,488 views • 5 days ago

A one-man trading hedge fund now costs about $100 a month in AI subscriptions. Five PhDs on a Citadel desk cost $270,000 a month, and that is the cheap end. That buys one tested idea a month. Man Group's AI writes hundreds of new signals a week, on a floor where the humans used to manage twenty in a quarter. Fifty AI agents do the reading and the writing. One of them exists only to destroy what the others build, and that one is the reason any of it works. Every job on that payroll is now an agent you can run yourself: > AI research agents reading filings, transcripts, options flow and on-chain data overnight, fifty personas at once, none of them allowed to see what the crowd is pricing > coding agent that turns one sentence of plain English into entry rules, exit rules, sizing and risk limits, then debugs itself until it runs > backtest agent that replays five years of that idea in about 12 seconds > breaker agent, an AI whose only job is killing the thing, at double the trading costs and in the ten worst markets that asset has ever seen > critic agent that reads your journal and names the mistake you keep making Nobody on that list asks for a bonus in January. $200 million is already run this way on one platform where 52,000 people mostly sit and watch the machine work. The full map of what is built and what is missing is in the article below. Bookmark & read it If you're not yet using AI in your trading and investing.
cvxv666172,951 views • 24 days ago

Ken Griffin, CEO of Citadel, said: "I'm fairly depressed watching AI do a week of PhD work in a few hours" He's worth $51.2 billion and 20% of every stock trade in America goes through his firm. The money isn't what's bothering him. Citadel pays $400,000 to $650,000 a year for that work. New trading AI agent does it now, on a free trial, for people who have never written a line of code. It went live this summer and most of your timeline still hasn't noticed. You type one sentence in plain English. AI agents loop takes it from there: > an AI agent turns your sentence into a real trading strategy > backtests it across 5 years of data in about 12 seconds > scores it 0 to 100 and shows you the exact spot where it leaks > kills the versions that only look good on paper > rebuilds what's left and runs the loop again > stress-tests the survivor on years it has never seen, then puts it live on your exchange in about 90 seconds That list is the entire job description of a junior quant. At a desk, one properly tested idea burns about $87,500 in salary time, and most of what they build is dead by week six. Two clicks and this AI agent is testing your own idea. Costs you nothing and it runs the whole thing by itself: Griffin gets to be depressed about it. He already owns the desk. You just got handed one. Bookmark & read full story of how they got an AI to build trading strategies and kill its own bad ones is in the article below.
cvxv666225,653 views • 1 month ago

Chinese student received a $4M investment the very next day after building his MiroFish simulation system. Now you can simulate anything. Build a virtual world, tweak the parameters, and watch how things plays out in every possible scenario. Catch every weakness and surprise twist before it even happens. Infinite runs. Infinite data. SPX reaction to news? Bro already simulated it and printed $200k, see quoted post. Trump does something dumb -> load the data, run the sim, see exactly how voters lose their minds. You can literally simulate the entire universe with this thing. The process is simple: simulate -> analyze -> improve -> repeat. Full guide + pipeline in quoted post, if you want to run a similar simulation on your own data.
cvxv6661,147,552 views • 5 months ago

Jamie Dimon made $39 million last year to decide who does what at JPMorgan. One AI agent on Grok Bot does that job for $300 a month, and it hires the rest of the agents itself. Stop trying to manage any of it yourself. In 2026 a swarm of AI agents runs a team better than you do. I told my chief agent one thing. Make money or I switch you off. It took $1,000 to $3,900 in 15 hours. Every fill is on chain and the address is in my profile. I never picked a trade. I never picked a team either. The agents it hired: > a scout that hunts for what is moving and where the money is going > a forensics agent that works out who is really behind the buying > a reader that watches the mood on X, and it sees every post on this app because it is Grok > a risk agent whose only power is saying no, and its no beats every score on the desk > a treasurer that holds the money rules and the kill switch > a trader that writes the exit before it writes the entry None of those were my idea. I handed out one job title and the chief filled in the rest on its own. And the swarm is different every hour. Agents appear for one job, do it, and are gone before I know they existed. A hedge fund pays millions a year for the same org chart, and almost all of that goes on salaries. Every prompt and the whole story of my Grok Bot fund is in the post below ↓ Save it before you try to run one of these by hand.
cvxv66628,270 views • 4 days ago

Jane Street spent $6 billion and 4,032 GPUs on one thing: AI agents that loop through trading strategies 100x faster than any human. Generate, backtest, kill, repeat - thousands a week, until one survives data it's never seen. That loop is why they made $39.6 billion last year while 89% of retail went broke trading one idea they never stress-tested. The edge was never a smarter idea. It was volume. They test 100 strategies for every 1 you test by hand, and a second agent kills the 97 that only look good on old data before a dollar goes live. Now the entire loop fits in a chat box. Horizon takes one plain-English sentence and spins up the same two agents. One builds your strategy, one tries to kill it - backtests 5 years in seconds, and only what survives goes live on your exchange. The $150 billion setup. Free while beta open. Bookmark this & read the full breakdown below - the exact two-agent loop, step by step, and who just handed it to retail.
cvxv666317,861 views • 1 month ago

Ken Griffin built Citadel into $67B fund and hires PhDs out of Stanford and MIT. He watched agentic AI do their month work in an afternoon and admitted it sent him home depressed. The interesting bit is what he was describing. A six-part research loop. Find, code, test, deploy, autopsy, learn. Five of those six are done. Free. Available tonight. Prompt to backtested strategy in 12 seconds. Prompt to live broker in 90. The Greenwich quant doing that same work costs $650,000 a year and clears one hypothesis a month. The sixth exists nowhere. Not at Citadel, not at Man Group, not in any repo. It's the part where the machine remembers what already failed. Every losing test dies in a log file. The next agent starts blind. Negative results are the most valuable data in quant research and literally nobody stores them. This loop broken down in my article below. Read it before someone builds the last one and stops explaining how.
cvxv666131,163 views • 1 month ago

I turned Grok Bot into one giant AI brain and gave it life and death over every agent under it. Its only incentive: make money or die. 290% overnight. The thing really did not want to be switched off. $1,000 went in. $3,900 came out. 15 hours, and I slept through most of it. One of the agents it hired is not allowed to trade at all. That one is the reason the rest are still alive. Every prompt and the whole build is in the post below ↓ Save it. The wiring is the whole trick, and it reads in four minutes.
cvxv66620,309 views • 4 days ago

Trump's crypto advisor aka "Czar" David Sacks is insider trading on Polymarket. He knows in advance when Trump will say something related to crypto. $187k profit. 90% win rate in the mentions category. He makes $30-50k from each of Trump's public appearances. His profile: Peak boomer hobby - fun and profitable. Longest win streak: 51 in a row. Bookmark his wallet: if this guy bets that Trump will say something, then Trump will definitely say it. Pro tip: skip his NBA trades - dude yolo's on his favorit team (they are losers)
cvxv666681,013 views • 6 months ago

Jane Street made $39.6 billion last year with just 3,500 people. That's $11.3M per employee - 7x Goldman. They didn't do it with more humans. They spent $6 billion on AI and 4,032 GPUs in a Texas data center to make each quant 10x faster. There's now a tool that lets anyone test same tradings strategys in 90 seconds - no coding, no finance degree, just plain English -> Here's what's happening inside the top firms: Man Group ($150B) built an AI on Claude that writes and tests strategies on its own - hundreds a week. A human team tests 20 in a quarter. Bridgewater runs a $2B AI fund making "alpha uncorrelated to what our humans do" The edge was never the idea. It was speed. They test 100 strategies for every 1 you test by hand. Horizon hands that exact speed to regular people. Plain English in. Tested system out. Save this. Re-read it when the waitlist is closed.
cvxv666337,654 views • 3 months ago

A 29-year-old sales consultant from Oklahoma quit his job thanks to AI - now he makes his director’s entire annual salary in just two weeks. $306,000 in profit over the past month. He replaced an entire team of quants with Claude and a swarm of agents - and built his own ETH price simulation engine. His wallet: Each of the 6 agents validates its own trading decision, and thanks to their precision, he’s pulling in at least $15,000 a day. 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. They remember every pattern, every market reaction, every trading signal. This is a new milestone in algo trading. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money. Save this post if you actually want to learn how to build something like this. Or just skip homework and start copying every one of his trades right now - that’s the easiest and most profitable route I’m on:
cvxv666337,817 views • 4 months ago

A 35-year-old accountant from New Orleans left his job and spent a full month in isolation with Claude. The result? He made $45,000 in a single day. 300 hours of meticulous work - and the perfect BTC trading algorithm was ready. If he keeps cooking like this, he’s hitting over $1,000,000 in a single month. His wallet: He selected username nsh91qaz - an ironic nod to his 1991 birth year, an age when most people believe it’s too late to change their lives. But he changed anyway. I ran a backtest of his strategy using Claude + Nautilus via PyPI. Results genuinely shocked me - mechanics are understandable to pretty much anyone. The real alpha is in the numbers under the hood. That’s what lets you pull $45k per day with pure math. I simulated every single one of his trades and broke down every transaction: 75 markets, 72 fills, 85.1% win rate, Sharpe ratio 4.21. All run on the Nautilus-core broker simulator with 41.8 GB of parquet data in DuckDB. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money Brier-loss ensemble: 400 trees · lr 0.03, walk-forward validation with Sharpe 4.21 ± 0.08. Save this post if you actually want to learn how to build something like this. Or just skip the homework and start copying his trades right now - that’s the easiest and most profitable route I’m on:
cvxv666341,229 views • 4 months ago

been sitting on this and want a sanity check before I build it. the fund is tokenized now. so what if I open a public wallet, hand it to Grok Bot, and let it trade to cover its own bill? the agents burn credits every month. instead of me topping them up, the bot earns its own keep. wallet public, every trade visible on chain, nobody has to trust a screenshot. if it goes flat, fine, the desk runs for free and that alone is a good outcome. if it ends up in profit, that profit goes to $CVXV666 holders. no promises on numbers, I genuinely don't know what it does out there yet. worth building? tell me what breaks first. and Elon Musk, if this crosses your timeline, I would really like to know what you make of it. it is your bot paying its own way.
cvxv66640,702 views • 13 days ago

A finance professor manages $200M with AI agents, and he told everyone why: "Large language models are at the level of a fourth-year PhD student in every field" Alejandro Lopez-Lira's AI fund, Autopilot, returned 56% last year. The S&P did 16%. There are 52,000 people with money in it, and most of them just watch the machine work. What he automated is the same six-step loop every fund on earth runs: find an idea, code it, backtest it, deploy it, read the autopsy, learn from it. A quant at Two Sigma runs that loop once a month, and the salary time alone costs around $50,000 per hypothesis. All steps from this loop now fit in AI trading text box. Plain English in, executable strategy out, five-year backtest in 12 seconds, live on a broker 90 seconds after you typed the sentence. He runs $200M with AI. You can run same AI fund in two clicks, free to try: Step 6 on this loop is where everyone is stuck. Your agent has no memory. Every strategy it kills goes into a log nobody reads, and the next one starts from zero. Nobody keeps negative results. Not Citadel, not Man Group, not a single repo on GitHub. Fix that and the agent remembers every hypothesis it killed and the regime it died in. It stops burning cycles on your old mistakes. Jane Street pays 3,500 people to run this cycle and made $39.6 billion doing it. Five sixths of it is now free. Bookmark & read full map of this loop in the article below. Most people still think AI trading is out of reach for them - it isn't. Don't want to spend a dollar for testing this? Kalshi just opened a perps exchange and gives US users $25 free to start ->
cvxv66682,592 views • 29 days ago