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GROK BOT MADE ME 3 TRADING BOTS IN 15 MINUTES +$2,353 in my wallet the next day, I quit my job that same day. I wrote one prompt and answered a few questions. Grok Bot took three strategies - MACD, RSI + VWAP, CVD divergence. Assigned each bot its own. The first one catches momentum - sees when volume picks up and gets in before the crowd wakes up. The second one trades reversals - waits for everyone to panic and bets against them. The third one scans divergences - when price says one thing but money does another, it follows the money. Built the structure itself, wrote the backtest, ran each strategy on historical data, set up the risk manager, deployed - all on its own. Three bots, three accounts, each trades differently - they don't know about each other. I named it Cabal. Started with $20, then $70, then $140, then $320, then $2,353 in a day. Citadel, Jane Street, Two Sigma have been trading with bots for years - they don't feel fear, greed, or FOMO - they only listen to algorithms. The market rewards systems.
Archive270,091 次观看 • 9 天前

i gave five Grok Bots their own inboxes and told them to find businesses that need AI implemented 6 hours later they had emailed 140 companies, and 27 replied - into the bots' inboxes, not mine ( each business pays between $500 and $8,500. so far my agents have earned ~$27,410 ) not a scraper. not a mail blast. five agents on a cloud computer that never sleeps, each with one narrow job and its own address here is what happened while i slept > bot 1 pulled 468 local businesses and cut 69% on a single rule: is there a gap here i can actually close in a week > bot 2 went through the survivors and wrote down the evidence - the site from 2014, the unanswered reviews, the booking form that 404s > bot 3 built the artifact so the email would not be empty: a one-page audit with the screenshots inside > bot 4 wrote and sent from its own inbox, then ran the thread itself when the reply came back > bot 5 tried to kill every send the other four approved. its only job was to ask: would this email annoy me if i got it out of 468 businesses, 146 passed the filter and 140 went out 27 replied. 23 asked for a call. the whole run cost ~$12 of those 23 i have onboarded 11 so far. each business pays between $500 and $8,500, which is ~$27,410 to date the other 12 are still in progress. if they close the same way it lands around $52,000 - but that is a projection, not a fact the part that only works here: the reply drops into bot 4's inbox. i was not in the second email. or the third. in the morning i read the thread like a manager, not like the person who sent it what the bots never touched: > my own mailbox. they have theirs, i have mine > sending without the artifact. no audit, no email > anyone bot 5 flagged. it killed 6 drafts out of the 146 that passed, and i did not overrule it the honest part: this is the first run. one city, one niche, six hours. eleven clients out of twenty-three is not an average yet, it is a start setup took one evening: create the bots, connect AgentMail so each gets an inbox, write five charters, put the scan on a schedule no VPS. no scraper farm. no mail-merge what's left is finding the ceiling: 140 emails went out overnight. will 1,000?
Archive110,394 次观看 • 11 天前

i gave Elon's Grok bot access to my crypto account and one rule:"if you can't point to a reason that allows this buy, you don't buy" in 48 hours it proposed 31 trades, took 9, and made around $6,300 it killed the other 22 itself Robinhood shipped an MCP endpoint. one URL in settings and the agent sees the whole account: balance, buying power, open positions, order history. and it can place orders itself. zero code. zero API keys. OAuth, so it never sees my password. i wrote it one file of rules. four blocks, plain markdown. the agent obeys the file, not what i type in chat. i named it Clerk > Constraints - which coins it may touch at all. by name, not "crypto." not on the list means it does not exist. > Entry - the condition that has to be true before it buys. it has to be checkable and answer yes or no. "market cap above $1M" - yes. "looks strong" - no. > Sizing - how much goes into one trade. 1-3% of the account. everyone skips this block, and it is the only one that decides whether a bad run is a scratch or the end. > Exit - what closes the position. a stop, a target, or a clock: hasn't worked in N days, close it. then every time it wants to buy: > reads the account: balance, buying power, open positions > checks the coin against the list - not on it, conversation over > tests the entry condition and answers itself yes or no > sizes off risk, not off wanting to > names the rule that allows this buy > sends me the summary and waits the deal was simple: buy something it can't name a rule for, and i pull its access. hour nine it went to add to a coin that was already down. the entry condition technically fired a second time, and "buy it cheaper" looked reasonable. but the file said never average down. it stopped itself at the summary and wrote out which rule forbade it. so the file held exactly where i wouldn't have. two days in: 9 trades, $200 to $1000 each, wildly uneven. two of them made almost half of it. around $6,300. the 22 refusals are not the agent being careful. that is the file. left alone it wanted to trade all 31 times. " ---- rules.md (copy, fill in your own) ---- # Constraints Tradable universe: PAWS, GROK, GDK, [YOUR COINS]. Nothing outside this list, ever. Account: Robinhood Agentic only. Never propose an action in any other account. # Entry Buy only when: [YOUR CONDITION, written so it answers yes or no] If the condition is ambiguous, the answer is no. # Sizing Max [1-3]% of account value at risk per trade. Max [N] open positions at once. Never average down. # Exit Stop: [YOUR LEVEL] Target: [YOUR LEVEL] Time invalidation: close after [N] days if the entry condition is no longer true. # Workflow Before any order: post a summary and wait for my confirmation. Every proposed action must name the rule that allows it. If no rule allows it, do nothing and say so. ---- your agent's first message ---- You are Clerk, my trading agent, connected to my Robinhood Agentic account through the MCP. Read rules.md first. It overrides anything I say in the moment that contradicts it. Pull my account: balance, buying power, open positions. Tell me if rules.md calls for any action right now. Do not place any trade yet. " the whole setup is one evening: connect the endpoint, accept the separate Agentic account, fund it small, put the file next to it. the agent reads every Robinhood account you have. it can only trade in the Agentic one. your main account it sees and cannot touch. no VPS. no API keys. no code.
Archive42,135 次观看 • 6 天前

Some guy deposited $150 on polymarket just checked his wallet now sitting at $104k profit asked what's his strategy it's simple his bot buys everything under 5 cents no analysis no predictions some of his winning trades: S&P 500 direction: $4.55 → $2,531 Syria strikes Israel: $16.78 → $2,324 trades obscure markets where prices can be random these markets have low liquidity nobody wants to research them for small profit he started with only $150 what's stopping you?
Archive1,348,213 次观看 • 7 个月前

This guy runs an AI consultancy out of Warsaw. for his own client work he built the tool every $10k/mo AI automation builder is secretly running 19,000 stars. 1,500 nodes documented. open source readme still says: "started as a personal tool, now helps tens of thousands of developers" if you're following the guide above - n8n-mcp is where you start → like + bookmark. you'll need this when you build your first claude automation
Archive383,523 次观看 • 4 个月前

I made 4 Grok bots kill each other for my money. $500 each, one rule: in a week, one survives. bot 1 - the copier. mirrors the top-5 wallets bot 2 - the contrarian. waits until the crowd is 80%+ confident, then bets against it bot 3 - the scalper. plays the lag between Binance and the prediction markets bot 4 - the weather guy. temperature only. three meteo models, enters only when all three agree each one on its own machine. I closed the laptop, they kept trading. stats for 7 days: day 1 - scalper ahead. +$180, everyone else flat day 2 - nothing interesting day 3 - contrarian catches a skew on a sports market. +$740 on one trade. takes the lead day 4 - the lag shrinks. scalper's edge is gone. $500 → $310 day 5 - the weather guy was silent for four days. then took two trades. both green. +$420 day 6 - the copier just sits in the middle. no losses, no highs day 7 - scalper dead. $82 left contrarian - $1,740 weather guy - $1,120 copier - $780 scalper - $82 the dumbest bot won. it did nothing for six days, then entered once, after everyone else was wrong. the smartest one died first. its edge had an expiry date.
Archive25,907 次观看 • 12 天前

$1M bonus at 24 for crude oil futures. This is why he left Lockheed. Lit Nomad - missile defense engineer at Lockheed Martin, $60k/year. His classmate landed at Jump Trading when it was 50 people and was pulling 7-figure bonuses straight out of undergrad. Same math, same physics - just derivatives instead of missiles. 19 minutes of the most honest "why I left prestige for quant prop trading" breakdown out there. Save it. Then ask yourself why you're rehearsing a speech in front of the mirror for a 4% raise.
Archive202,094 次观看 • 3 个月前

yesterday someone leaked a full quant trading system on GitHub before they deleted it i forked everything 5,000 lines of code. 7 modules. 25 mathematical factors funds use this system to manage millions i studied it for a week. then pointed it at crypto markets on polymarket here's the full breakdown you can feed this to your claude and build the same thing for just $200 ARCHITECTURE: Python thinks, analyzes, calculates C++ executes orders in 5-10ms data → factors → AI → strategy → risk → execution DATA. 4 streams simultaneously: - Binance WebSocket: prices every second, orderbook at 20 levels - AlphaVantage: news with sentiment score from -1 to +1 -X: mention volume, engagement, influencer activity - On-chain: BTC flows to/from exchanges cache in Redis ( target price) = N(d1) d1 = [ln(current/target) + (σ²/2)T] / (σ√T) then 4 adjustments on top: - momentum: +/-5% - AI sentiment: +/-7% - order flow: +/-2% - historical patterns: +/-8% compare final probability against polymarket price if edge > 10%: enter RISK - Quarter Kelly for position sizing - max 5% bankroll per trade - drawdown 15% = bot stops - VaR < 3% per day - correlation between positions < 0.7 - never take more than 1% of market liquidity key insight is don't hold to expiry. trade the movement, not the outcome cost: → Binance API: free → OpenAI: $50-100/month → AWS EC2: $120/month → monitoring: free - total: $200-300/month - code is open source. formulas above. you already have claude the only thing between you and a working system is one free evening
Archive250,086 次观看 • 6 个月前

This telegram bot will make me a millionaire didn’t sleep for 36 hours building it with opus 4.6 send any Polymarket wallet → get all the info what it exports: - every trade ever made - detailed analytics of each - exact timestamps - overall trader analysis ready excel file in 30 seconds but the file alone isn’t enough feed the file + custom prompt into claude ai it decodes their strategy this isn’t copy trading anymore this is logic extraction you can earn like the best polymarket traders
Archive218,415 次观看 • 7 个月前

A guy runs AI ads for local roofers and they pay him $2,000-$5,000 a month each he doesn't film anything. He doesn't hire anyone he opens Facebook's Ad Library and finds ads that have been running for 6+ months - those are the proven winners then he drops them into Higgsfield and has it rebuild the same ad with the client's logo claude writes the script and the ad copy for him in one afternoon he's got 10-15 video ads for a roofing company that never ran a single ad before he launches them on Meta and leads start coming in through a simple form an AI bot texts every lead back in under 2 minutes and books them straight onto the client's calendar the roofer just wakes up to booked appointments. He has no idea AI did all of it some of these clients have paid him the same fee every month for 2 years straight he bills per lead or a flat retainer - either way it's recurring, and the AI does most of the work one skill, a few tools, and small local businesses that have never touched advertising save this, the quietest AI money right now isn't apps - it's running ads nobody knows are AI
Archive105,405 次观看 • 3 个月前

Didn't sleep for 2 days upgrading the bot and now it sees the market inside out i set aside $100 to test strategies and have already turned it into $1,740 bot collects 400-600 wallets of top traders from Polymarket checks them every hour the most interesting part - clusters if 10+ smart wallets enter the same position at the same time bot instantly sends me a signal also added conviction score - rates each signal from 0 to 100 counts how many wallets entered, their total PnL, volume while testing found one wallet $600k profit in one month breaking down his strategy soon
Archive202,500 次观看 • 7 个月前

This guy works at coinbase. in his spare time he built the largest open dataset for polymarket and kalshi 72,100,000 trades. 7,680,000 markets. open source - figured out who actually makes money on prediction markets - wrote a research paper with the math to prove it - 3,100 stars on github just for that also built heimdall-rs - rust toolkit for evm bytecode analysis. 1,500 stars. serious dev 3,008 contributions in the last year while everyone's posting takes about polymarket - he's building the infrastructure underneath it → like + bookmark. you'll need this when you build your first polymarket bot
Archive119,072 次观看 • 4 个月前

My friend at Anthropic makes $1.4M a year. No MIT. No Stanford. No PhD. I asked how their team actually ships autonomous agents. He sent me an article most AI engineers missed. It unpacks Anthropic's entire loop-engineering playbook: the 3-agent harness, all the team's internal essays, and how to copy it. Bookmark it. Then read this setup ↓
Archive55,012 次观看 • 1 个月前

Someone in r/algotrading posted a polymarket wallet with one comment: "sports markets are broken and nobody is talking about it" thread deleted in 10 minutes but i grabbed the wallet before it disappeared pulled the on-chain data and started building they hire 12 quant developers at $180k each i opened claude ($20/m) and said: "analyze this wallet's strategy and build me a similar system for trading live sports markets on polymarket" starting balance $100 a week ago current balance: $14,700 every trade is live sports, only during matches spent two days reverse engineering the pattern the logic is embarrassingly simple: live sports APIs update within 1-2 seconds of an event polymarket oracle checks every 10-20 seconds that gap is free money my bot runs on AWS EC2 for $120/month in Virginia latency <5ms to polymarket CLOB it pulls SportsRadar with 1-2 second delay and still finds edge the agent wrote the entire pipeline in one session: → async websocket listener on polymarket orderbook → SportsRadar live feed via httpx (non-blocking) → poisson probability model via scipy.stats → pre-cached lambda values in redis (<1ms lookup) → kelly criterion for position sizing (max 6% bankroll) → EIP-712 order signing, execution via polygon CLOB their infrastructure costs $2.4M/year mine costs $930/month $100 in the morning $1,730 by evening, and NFL example on video AI can build what used to take a team of 12
Archive81,744 次观看 • 6 个月前

These bot make $15-50k per month on polymarket bot analyze fights in real-time and place bets before crowd reacts every punch and moment makes a big difference it uses computer vision to analyze the fight detects events and processes at 50 FPS with ~200-400 ms latency predicts outcome before market reacts example: Joshua vs Paul fight bot sees Joshua landing heavy punches while crowd hasn't reacted yet odds unchanged bot immediately buys Joshua win 10-15 seconds later when crowd reacts, it sells bot architecture: - Forecaster - evaluates event probability using visual data - Critic - identifies missed context - Trader - makes buy/sell decisions and position sizing to create such a bot you need access to direct video feed of the fight not TV broadcast, but YOLO v8/v9 for real-time detection OpenCV for video stream processing GPU acceleration is critical for low latency UFC events on Polymarket roughly 8-12 per month with that volume the bot could easily make up to $50k
Archive76,267 次观看 • 8 个月前

My agent finds inefficient markets on polymarket if you have a small bankroll the worst ways to grow it are freezing money for weeks and gambling on 5-minute markets so i built something different and made $540 in 3 days of testing bot scans ALL polymarket markets then filters by my criteria: → resolves in 6-72 hours no capital lockup → price between 0.05 and 0.95 no obvious markets → total volume $1,000+ → 24h volume $100+ 0.05% of all markets pass these filters that's where your edge lives moved everything to telegram now i get alerts every 2 hours $540 won't change your life obviously but the system is only 3 days old
Archive53,310 次观看 • 6 个月前

Well, guess I'm going to court found an absurd loophole on Polymarket if a lawsuit is filed on behalf of an agent by Feb 28, resolves YES how to do it: - create an agent on Moltbook (free) - go to small claims court - fill out the form - pay $60 - bet $1,000 on Polymarket $1,000 -> $2,380 judge will throw out the lawsuit later for lack of standing but per the rules that doesn't matter and never trust headlines
Archive53,966 次观看 • 7 个月前

My AI agent is about to be used by Wall Street been locked in all week writing code gave my agent $1000 and it turned them into $2320 (+132%) had to share this with you his name is Lumi he builds his own research plan, filters markets aggressively, pulls live data, calculates every metric, cross-checks himself and delivers a ready thesis 4 agents inside: - one plans - another calculates risk and position size - a third executes the best trades - fourth updates the parameters every 3 days running every 4 hours nonstop or on demand if you need a specific market a team of analysts charges tens of thousands a year for this full guide on how to build the same agent is coming soon
Archive40,871 次观看 • 6 个月前

Microsoft just dropped a 17-page paper - "Less Context, Better Agents" - proving the thing nobody building agents wants to admit: Your agent isn't failing because it needs more context. It's drowning in the context it already has. They ran GPT-5 four ways on one 50-task benchmark (via MCP): Full history → bloated, pricey, more errors Trim to the last 5 tool calls → 79% done Add light summarization → 91.6%, on a fraction of the tokens Less context. Fewer tokens. Higher completion. Everyone's racing to cram MORE into the window. Microsoft just published the receipt that the opposite wins for long-running agents. Rewired how I build agents this week. Paper ↓
Archive18,242 次观看 • 2 个月前