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6 GitHub repositories mass-scanned every profitable wallet on Polymarket and found what Wall Street pays 47 analysts to find manually +$10,614 in 3 weeks from a $1,300 seed. i didn't place a single trade. it built a 4-factor scoring model: > momentum: 73 > mean revert: 82 > vol... regime: 95 > corr break: 94 every signal gets scored. below threshold - ignored. above - executed. no human in the loop. BTC 90K volume spike - whale enters - bot mirrors in seconds. +$311. copper ATH +32% - market overreacts - bot buys the deviation. +$82. hurricane FL flagged - volatility explodes - bot catches the Binance-to-Polymarket lag. +$103. inflation 3% and Fed rate cut priced independently. correlation breaks. bot trades the gap. +$216. 5 agents handle everything: > darkpool_7 - 68% conviction. heaviest hitter. > velvet_void - 70%. runs Dune queries. > profitprinter - 51%. scrapes order books. > alpha_decay - 56%. monitors Helius. copytrade here: the wallets it copies each dominate a single category: 0xeebde7 - $74.9k. macro. beachboys4 - $30.9k. sports. majorexplr - $15.8k. weather. a fund with 47 people and $800M does +19% per year. one terminal with $1,300 and Claude did 816% in 21 days. same markets. same data. different results.show more

Hanako

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16,821 次观看 • 5 个月前 •via X (Twitter)

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My friend got laid off from a hedge fund last November He was making $2.1M/year running their quant desk Instead of applying to another fund - he took their entire strategy framework and rebuilt it on Polymarket 1300$ → 187,564$ in 3 weeks Total cost: $200/month for Claude, $50/month VPS He said: "The models I built for the fund work better on Polymarket, because on Wall Street you compete against other quants. On Polymarket you compete against guys who bet based on Twitter polls" He rebuilt a 4-factor model in one weekend Same math his fund ran on $800M AUM: Momentum scoring: track 400+ markets, buy when a contract moves 10¢+ with rising volume Mean reversion: when a contract overshoots 15¢+ in under 2 hours - fade it Volatility regime detection: hidden Markov model classifies low-vol vs high-vol every hour. Switches strategy automatically Correlation breakdown: 200+ market pairs monitored. When two normally correlated contracts decorrelate - one is wrong. Trade the lagging one. All 4 run simultaneously COPY HIM: Portfolio optimizer combines the scores Fractional Kelly sizing, max 5% per market, 15 concurrent positions His fund's flagship returned 19% last year on $800M His bot returned 144,000% in 3 weeks on $1300 He doesn't need to work anymore

My friend got laid off from a hedge fund last November He was making $2.1M/year running their quant desk Instead of applying to another fund - he took their entire strategy framework and rebuilt it on Polymarket 1300$ → 187,564$ in 3 weeks Total cost: $200/month for Claude, $50/month VPS He said: "The models I built for the fund work better on Polymarket, because on Wall Street you compete against other quants. On Polymarket you compete against guys who bet based on Twitter polls" He rebuilt a 4-factor model in one weekend Same math his fund ran on $800M AUM: Momentum scoring: track 400+ markets, buy when a contract moves 10¢+ with rising volume Mean reversion: when a contract overshoots 15¢+ in under 2 hours - fade it Volatility regime detection: hidden Markov model classifies low-vol vs high-vol every hour. Switches strategy automatically Correlation breakdown: 200+ market pairs monitored. When two normally correlated contracts decorrelate - one is wrong. Trade the lagging one. All 4 run simultaneously COPY HIM: Portfolio optimizer combines the scores Fractional Kelly sizing, max 5% per market, 15 concurrent positions His fund's flagship returned 19% last year on $800M His bot returned 144,000% in 3 weeks on $1300 He doesn't need to work anymore

Hrundel75 🐷

309,097 次观看 • 5 个月前

Anthropic released an update for Claude, and one student turned $1,400 into $238,000 in 11 days. His wallet: 0xdE17 He’s not a trader. Not a developer. Just a student with a laptop and access to Claude. When Anthropic updated Claude’s skills architecture, he spent two nights reading the documentation and built a bot from scratch. The result: $1,430 → $238,006 in 11 days 366 trades 62% win rate Largest single win: $52,700 How it works: The bot scans Polymarket every few seconds looking for markets where the price deviates from fair value by more than 8%. That’s the edge. Most people never notice it. The bot always does. The strategy is simple: The market prices an event at 30¢ The real probability based on data is closer to 55¢ The bot enters, waits, and exits as the market reprices It’s not luck. It’s attention arbitrage. The biggest trade was a bet that Trump would sign a crypto executive order in March. The market priced it at 28¢. The bot entered with $16,000. Exited at 81¢. In 11 days, he went through a journey most traders never experience in years. Now the wallet is public, and with this terminal you can copy the trades in real time: 0xde17f7144fbd0eddb2679132c10ff5e74b120988 Copytrade → People keep asking him: “How much starting capital do you need?” He answered: “I had $1,400 and a sleepless night.” Anthropic built the tool. He simply wasn’t afraid to use it.

Anthropic released an update for Claude, and one student turned $1,400 into $238,000 in 11 days. His wallet: 0xdE17 He’s not a trader. Not a developer. Just a student with a laptop and access to Claude. When Anthropic updated Claude’s skills architecture, he spent two nights reading the documentation and built a bot from scratch. The result: $1,430 → $238,006 in 11 days 366 trades 62% win rate Largest single win: $52,700 How it works: The bot scans Polymarket every few seconds looking for markets where the price deviates from fair value by more than 8%. That’s the edge. Most people never notice it. The bot always does. The strategy is simple: The market prices an event at 30¢ The real probability based on data is closer to 55¢ The bot enters, waits, and exits as the market reprices It’s not luck. It’s attention arbitrage. The biggest trade was a bet that Trump would sign a crypto executive order in March. The market priced it at 28¢. The bot entered with $16,000. Exited at 81¢. In 11 days, he went through a journey most traders never experience in years. Now the wallet is public, and with this terminal you can copy the trades in real time: 0xde17f7144fbd0eddb2679132c10ff5e74b120988 Copytrade → People keep asking him: “How much starting capital do you need?” He answered: “I had $1,400 and a sleepless night.” Anthropic built the tool. He simply wasn’t afraid to use it.

Discover

114,291 次观看 • 6 个月前

i told Claude to scan every Polymarket wallet and GitHub repo woke up to +$3,582. the terminal was still running on my screen. it analyzed thousands of wallets overnight. most of them bleed money. but 340 had something different - asymmetric payouts. entering at 27 cents. exiting at 91. losing 27 cents when wrong. winning 64 when right. you only need to be right 1 in 4 times. they were right half. Claude found 3 patterns: category specialists - one wallet: 91% wr on crypto. 14% on politics. total looks average. filter to crypto only - top performer. speed arbitrage - 47 wallets entering 3-8 seconds after Binance moved. before Polymarket updated. not predicting. just faster. near-zero accumulation - buying at 2-8 cents weeks before resolution. $8 in, $200 out. hundreds of times. it connected GitHub repos to run all three: > poly_data - scanned every wallet and entry price. > polyterm - whale tracking and insider detection. > py-clob - placed the orders. 7 wallets copied. 204 trades. $25 seed. +$3,582. 6 agents running: > sigma_decay - 78% conviction > darkpool_7 - 87% > velvet_void - 85% > profitprinter - 54% the equity curve tells the whole story. $25 to $3,582 without a single dip worth mentioning. sharpe 2.09. copytrade here: 87% of Polymarket is exit liquidity. the question is which side you're on.

i told Claude to scan every Polymarket wallet and GitHub repo woke up to +$3,582. the terminal was still running on my screen. it analyzed thousands of wallets overnight. most of them bleed money. but 340 had something different - asymmetric payouts. entering at 27 cents. exiting at 91. losing 27 cents when wrong. winning 64 when right. you only need to be right 1 in 4 times. they were right half. Claude found 3 patterns: category specialists - one wallet: 91% wr on crypto. 14% on politics. total looks average. filter to crypto only - top performer. speed arbitrage - 47 wallets entering 3-8 seconds after Binance moved. before Polymarket updated. not predicting. just faster. near-zero accumulation - buying at 2-8 cents weeks before resolution. $8 in, $200 out. hundreds of times. it connected GitHub repos to run all three: > poly_data - scanned every wallet and entry price. > polyterm - whale tracking and insider detection. > py-clob - placed the orders. 7 wallets copied. 204 trades. $25 seed. +$3,582. 6 agents running: > sigma_decay - 78% conviction > darkpool_7 - 87% > velvet_void - 85% > profitprinter - 54% the equity curve tells the whole story. $25 to $3,582 without a single dip worth mentioning. sharpe 2.09. copytrade here: 87% of Polymarket is exit liquidity. the question is which side you're on.

Hanako

252,493 次观看 • 5 个月前

a 22-year-old who never filed taxes just got flagged by the IRS not for the $330K in polymarket bot profit but for 12,000 micro-transactions that looked like structuring 38 days of trading and he triggered the same alerts drug dealers do kid built a bot that trades 5-minute crypto resolution markets on polymarket - eth up or down, sol up or down, new scheduled 5-minute ETH/SOL up/down markets resolving via Chainlink data he didn't even know what structuring was the bot was placing mass volume to capture edge across dozens of active micro-markets and every single trade settled through USDC on-chain every 5 minutes the bot runs the same loop: → pulls live order books across dozens of active micro-markets → estimates fair value using Claude Sonnet 4.6 API inference → detects mispricing above 6% and sizes via kelly criterion → fires the trade, collects payout, rolls into the next market → repeats 288+ times per day without sleeping in 38 days it executed 12,247 transactions at an average size of $27 the problem is that pattern - thousands of small, rapid, sequential transactions flowing through crypto rails - is exactly what the bank secrecy act was written to catch under 31 USC 5324 that's called structuring and it carries civil penalties up to ~$400K or twice the transaction amount per violation, criminal up to 5-10 years and $250K-$500K in fines the bot doesn't know what the IRS is it just knew the expected value math worked: 65% win rate on binary contracts means +$0.10 per dollar risked, compounded across 12,000 trades that's $330K in pure edge his entire infra was a mac mini and a $4.50/month VPS with no accountant, no LLC, no tax software the IRS didn't find him through some sophisticated investigation - his bank's automated AML system flagged the deposit pattern and filed a suspicious activity report before he even knew there was a problem $330K in profit sitting in a wallet and the kid googled "do i need to pay taxes on polymarket" for the first time last tuesday the bot opened 6 new positions while he was on hold with a CPA his trading algorithm is mass accurate and his compliance strategy is mass nonexistent - and somewhere right now there are 50 more kids running the same bot who haven't been flagged yet

a 22-year-old who never filed taxes just got flagged by the IRS not for the $330K in polymarket bot profit but for 12,000 micro-transactions that looked like structuring 38 days of trading and he triggered the same alerts drug dealers do kid built a bot that trades 5-minute crypto resolution markets on polymarket - eth up or down, sol up or down, new scheduled 5-minute ETH/SOL up/down markets resolving via Chainlink data he didn't even know what structuring was the bot was placing mass volume to capture edge across dozens of active micro-markets and every single trade settled through USDC on-chain every 5 minutes the bot runs the same loop: → pulls live order books across dozens of active micro-markets → estimates fair value using Claude Sonnet 4.6 API inference → detects mispricing above 6% and sizes via kelly criterion → fires the trade, collects payout, rolls into the next market → repeats 288+ times per day without sleeping in 38 days it executed 12,247 transactions at an average size of $27 the problem is that pattern - thousands of small, rapid, sequential transactions flowing through crypto rails - is exactly what the bank secrecy act was written to catch under 31 USC 5324 that's called structuring and it carries civil penalties up to ~$400K or twice the transaction amount per violation, criminal up to 5-10 years and $250K-$500K in fines the bot doesn't know what the IRS is it just knew the expected value math worked: 65% win rate on binary contracts means +$0.10 per dollar risked, compounded across 12,000 trades that's $330K in pure edge his entire infra was a mac mini and a $4.50/month VPS with no accountant, no LLC, no tax software the IRS didn't find him through some sophisticated investigation - his bank's automated AML system flagged the deposit pattern and filed a suspicious activity report before he even knew there was a problem $330K in profit sitting in a wallet and the kid googled "do i need to pay taxes on polymarket" for the first time last tuesday the bot opened 6 new positions while he was on hold with a CPA his trading algorithm is mass accurate and his compliance strategy is mass nonexistent - and somewhere right now there are 50 more kids running the same bot who haven't been flagged yet

Argona

150,209 次观看 • 4 个月前

Anthropic released an update for Claude, and one young guy turned $1,400 into $238,000 in 11 days His account is 0xdE17. He is not a trader. Not a developer. Just a student with a laptop and access to Claude. When Anthropic updated the skills architecture for Claude, he didn’t sleep for two nights, read the documentation, and built a bot from scratch. Result: $1,430 → $238,006 in 11 days 366 trades. Win rate 62%. The biggest win $52,700 on a single bet. How it works: The bot scans Polymarket every few seconds looking for markets where the price deviates from the fair value by more than 8%. That’s the edge. Most people don’t see it the bot always does. The strategy is painfully simple - The market says 30¢ for an event - The real probability based on data is 55¢ - The bot enters. Waits. Exits at the peak. This isn’t luck. It’s attention arbitrage. The biggest trade was a bet that Trump would sign a crypto executive order in March. The market priced it at 28¢. The bot placed $16,000. Exited at 81¢. In 11 days he went through a journey most traders don’t go through in years. Now his wallet is public, and with the help of this terminal you will be able to copy his trades in time: Bot 0xdE17 CLAWD BTC SNIPER is open for copy-trade. People ask him: “How much starting capital do you need?” He replied: “I had $1,400 and a sleepless night.” Anthropic gave the tool. He simply wasn’t afraid to use it.

Anthropic released an update for Claude, and one young guy turned $1,400 into $238,000 in 11 days His account is 0xdE17. He is not a trader. Not a developer. Just a student with a laptop and access to Claude. When Anthropic updated the skills architecture for Claude, he didn’t sleep for two nights, read the documentation, and built a bot from scratch. Result: $1,430 → $238,006 in 11 days 366 trades. Win rate 62%. The biggest win $52,700 on a single bet. How it works: The bot scans Polymarket every few seconds looking for markets where the price deviates from the fair value by more than 8%. That’s the edge. Most people don’t see it the bot always does. The strategy is painfully simple - The market says 30¢ for an event - The real probability based on data is 55¢ - The bot enters. Waits. Exits at the peak. This isn’t luck. It’s attention arbitrage. The biggest trade was a bet that Trump would sign a crypto executive order in March. The market priced it at 28¢. The bot placed $16,000. Exited at 81¢. In 11 days he went through a journey most traders don’t go through in years. Now his wallet is public, and with the help of this terminal you will be able to copy his trades in time: Bot 0xdE17 CLAWD BTC SNIPER is open for copy-trade. People ask him: “How much starting capital do you need?” He replied: “I had $1,400 and a sleepless night.” Anthropic gave the tool. He simply wasn’t afraid to use it.

AdiiX

1,765,913 次观看 • 6 个月前

An ex-OpenAI engineer walked up to me at a meetup in SF I was showing my Polymarket terminal. He looked at the screen for ten seconds and said one sentence. "You're trading blind. The data is sitting in the open and you're writing prompts" I didn't understand. What data. He took my laptop. Opened one repository. 86 million trades. Every wallet. Every entry. Every exit. The entire Polymarket history since day one. "At OpenAI models don't guess. They read. Connect Claude Code to this dataset and say - find every wallet with a win rate above 70% and more than 100 trades" I asked - why Claude and not GPT? He looked at me like I was an idiot. "Because Claude Code connects to the repo directly. It reads the entire codebase. It's not a chatbox. It's a runtime" That evening I connected it. Claude pulled 47 wallets in 4 minutes. Average profit: $214K. Hold time: 7 hours. 91% close their position BEFORE resolution. Top wallets capture 86% of the move and cut losers at 12%. Everyone else - 58% of profit and hold losers to 41%. Same exact entries. The exits make it a completely different game. "Now connect the scanner" Three commands - the bot sees 500+ markets in real time. No API key. Read-only. Claude built the scoring in 20 minutes: Gap between price and model > 7 cents. Book depth > $500. Resolution in 4-48 hours. 93% of markets get killed instantly. Only the fat ones survive. "Now this is the important part" - he sent me an article where a guy built a full bot over a weekend from these same repos Copytrade here: Three exit triggers: Target 85% of expected move. Volume spike x3 - smart money leaving. 24 hours of silence - thesis is dead. I copied the whole stack. VPS $5. Claude $20. Total $25 a month. No team. No office. No Bloomberg. 16 days. 187 trades. 71% win rate. $800 seed. +$8,700. I sent him my screen. He replied a day later. "You just replicated for $25 what cost us six months and 11 people" I said - thanks for the tip. "Delete this chat" Too late.

An ex-OpenAI engineer walked up to me at a meetup in SF I was showing my Polymarket terminal. He looked at the screen for ten seconds and said one sentence. "You're trading blind. The data is sitting in the open and you're writing prompts" I didn't understand. What data. He took my laptop. Opened one repository. 86 million trades. Every wallet. Every entry. Every exit. The entire Polymarket history since day one. "At OpenAI models don't guess. They read. Connect Claude Code to this dataset and say - find every wallet with a win rate above 70% and more than 100 trades" I asked - why Claude and not GPT? He looked at me like I was an idiot. "Because Claude Code connects to the repo directly. It reads the entire codebase. It's not a chatbox. It's a runtime" That evening I connected it. Claude pulled 47 wallets in 4 minutes. Average profit: $214K. Hold time: 7 hours. 91% close their position BEFORE resolution. Top wallets capture 86% of the move and cut losers at 12%. Everyone else - 58% of profit and hold losers to 41%. Same exact entries. The exits make it a completely different game. "Now connect the scanner" Three commands - the bot sees 500+ markets in real time. No API key. Read-only. Claude built the scoring in 20 minutes: Gap between price and model > 7 cents. Book depth > $500. Resolution in 4-48 hours. 93% of markets get killed instantly. Only the fat ones survive. "Now this is the important part" - he sent me an article where a guy built a full bot over a weekend from these same repos Copytrade here: Three exit triggers: Target 85% of expected move. Volume spike x3 - smart money leaving. 24 hours of silence - thesis is dead. I copied the whole stack. VPS $5. Claude $20. Total $25 a month. No team. No office. No Bloomberg. 16 days. 187 trades. 71% win rate. $800 seed. +$8,700. I sent him my screen. He replied a day later. "You just replicated for $25 what cost us six months and 11 people" I said - thanks for the tip. "Delete this chat" Too late.

Lunar

481,449 次观看 • 5 个月前

I asked my bot to read 20 Polymarket quant articles and build me a trading system. One week later: $600 → $20,400. The crazy part? It didn’t just copy the strategies from the articles. It found the edges the authors never mentioned. I gave Claude Opus a simple prompt: “Read these 20 quant articles. Extract every strategy. Then figure out what they’re not saying.” 48 hours later, the bot was live. The articles talked about the usual things: • basic arbitrage • weather markets • simple spreads But the bot looked deeper. It analyzed 847 trades from top wallets, cross-referenced them with article timestamps, and found something interesting: The gap between what quants publish and what they actually trade. Examples: Articles say: wait for 5% mispricing. Top wallets enter at 2.3%. Articles say: avoid volatile markets. Top wallets make 80% of their profits during volatility spikes. Articles say: start small with $100. Successful bots compound 3–6% per trade. So the system ignored the advice. And copied the behavior. Week 1 results • 127 trades executed • 71% win rate • $600 → $20,400 Biggest trade: $4,100 profit on a 15-minute BTC market Funny thing? The articles called those markets “too risky.” The bot saw 18 top wallets entering at the same time. Copytrade → What the bot actually does → scans quant articles for strategy mentions → tracks wallets belonging to the authors → compares what they write vs what they trade → trades the difference The edge isn’t reading quant articles. The edge is watching what happens after they publish them. Most people learn from what traders say. The bot learned from what they hide.

I asked my bot to read 20 Polymarket quant articles and build me a trading system. One week later: $600 → $20,400. The crazy part? It didn’t just copy the strategies from the articles. It found the edges the authors never mentioned. I gave Claude Opus a simple prompt: “Read these 20 quant articles. Extract every strategy. Then figure out what they’re not saying.” 48 hours later, the bot was live. The articles talked about the usual things: • basic arbitrage • weather markets • simple spreads But the bot looked deeper. It analyzed 847 trades from top wallets, cross-referenced them with article timestamps, and found something interesting: The gap between what quants publish and what they actually trade. Examples: Articles say: wait for 5% mispricing. Top wallets enter at 2.3%. Articles say: avoid volatile markets. Top wallets make 80% of their profits during volatility spikes. Articles say: start small with $100. Successful bots compound 3–6% per trade. So the system ignored the advice. And copied the behavior. Week 1 results • 127 trades executed • 71% win rate • $600 → $20,400 Biggest trade: $4,100 profit on a 15-minute BTC market Funny thing? The articles called those markets “too risky.” The bot saw 18 top wallets entering at the same time. Copytrade → What the bot actually does → scans quant articles for strategy mentions → tracks wallets belonging to the authors → compares what they write vs what they trade → trades the difference The edge isn’t reading quant articles. The edge is watching what happens after they publish them. Most people learn from what traders say. The bot learned from what they hide.

Discover

54,245 次观看 • 6 个月前

i told my bot to read 20 polymarket quant articles and build me a trading system $600 → $20,400 in one week the scary part? it found edges the articles never mentioned gave claude opus 4.6 a simple task: "read these 20 articles from polymarket quants, extract every strategy, find what they're NOT saying, and build me a bot" 48 hours later i had a system running the articles talked about: - arbitrage basics - weather markets - simple spreads but the bot found something else it analyzed 847 trades from top wallets cross-referenced with article timestamps found a pattern nobody wrote about the gap between what quants publish and what they actually trade example: > articles say "wait for 5% mispricing" top wallets enter at 2.3% > articles say "avoid volatile markets" top wallets make 80% of profit during volatility spikes > articles say "start with $100" successful bots compound at 3-6% per trade the bot ignored the public advice copied the actual behavior week 1 results: - 127 trades executed - 71% win rate - $600 → $20,400 biggest win: $4,100 on a 15min BTC marketthe articles said these markets are "too risky" the bot saw 18 top wallets entering simultaneously here's what it actually does: → scans articles for strategy mentions → tracks wallets that publish those articles → compares their written strategy vs actual trades → trades the difference, not the advice the edge isn't reading quant articles the edge is reading what quants do after they publish most people learn from what traders say the bot learned from what they hide am i the only one who thinks public alpha is just exit liquidity?

i told my bot to read 20 polymarket quant articles and build me a trading system $600 → $20,400 in one week the scary part? it found edges the articles never mentioned gave claude opus 4.6 a simple task: "read these 20 articles from polymarket quants, extract every strategy, find what they're NOT saying, and build me a bot" 48 hours later i had a system running the articles talked about: - arbitrage basics - weather markets - simple spreads but the bot found something else it analyzed 847 trades from top wallets cross-referenced with article timestamps found a pattern nobody wrote about the gap between what quants publish and what they actually trade example: > articles say "wait for 5% mispricing" top wallets enter at 2.3% > articles say "avoid volatile markets" top wallets make 80% of profit during volatility spikes > articles say "start with $100" successful bots compound at 3-6% per trade the bot ignored the public advice copied the actual behavior week 1 results: - 127 trades executed - 71% win rate - $600 → $20,400 biggest win: $4,100 on a 15min BTC marketthe articles said these markets are "too risky" the bot saw 18 top wallets entering simultaneously here's what it actually does: → scans articles for strategy mentions → tracks wallets that publish those articles → compares their written strategy vs actual trades → trades the difference, not the advice the edge isn't reading quant articles the edge is reading what quants do after they publish most people learn from what traders say the bot learned from what they hide am i the only one who thinks public alpha is just exit liquidity?

ZER

206,638 次观看 • 6 个月前

An engineer at a Chicago HFT shop spent six years building latency arb pipes between CME and NYSE. On May 1st his desk got cut. Severance: $40K. He deposited $3000, ran a Hermes trading agent on Polymarket, and pulled in $236,913 over the next 23 days. His agent wallet: The pit taught him one thing - find where one venue knows something another doesn't, size to the gap, exit before the spread closes. So he made 757 trades a day. Not 7. Not 75. And let the rest expire. Here's the actual stack. Claude Opus 4.7 reads spot momentum off Chainlink, scores every 5-minute BTC market by Markov persistence × Kelly edge Then surfaces the windows where Polymarket hasn't priced in what Binance and Coinbase already confirmed. Hermes Agent by NousResearch executes. A $10/mo Hetzner VPS runs it 24/7. Telegram pings on every fill. Total cost: $10/month. Setup: 30 minutes. No coding. One trade on May 14: Bitcoin Down at 9AM ET. Market said 15.8¢. He put $1,681 on Down. It hit. +$8,974. A 533% return in 47 minutes. The real edge is the nightly self-learning loop. Every midnight, Opus reads the day's trade journal and rewrites MIN_PROB and MIN_EDGE in the .env file. May 2nd the threshold was 0.87. May 12th 0.89. May 23rd 0.91. The bot tightens with the regime. His version of the bot has rewritten itself 187 times in 23 days. The desk that cut him couldn't ban him from Polymarket. The bot doesn't sit in the colo. It doesn't need a leased line. It just reads two endpoints and presses a button. Save this if you want to dig in and understand Hermes. Or just copy this guy trades using TG bot - his algorithm has been perfected 187 times:

An engineer at a Chicago HFT shop spent six years building latency arb pipes between CME and NYSE. On May 1st his desk got cut. Severance: $40K. He deposited $3000, ran a Hermes trading agent on Polymarket, and pulled in $236,913 over the next 23 days. His agent wallet: The pit taught him one thing - find where one venue knows something another doesn't, size to the gap, exit before the spread closes. So he made 757 trades a day. Not 7. Not 75. And let the rest expire. Here's the actual stack. Claude Opus 4.7 reads spot momentum off Chainlink, scores every 5-minute BTC market by Markov persistence × Kelly edge Then surfaces the windows where Polymarket hasn't priced in what Binance and Coinbase already confirmed. Hermes Agent by NousResearch executes. A $10/mo Hetzner VPS runs it 24/7. Telegram pings on every fill. Total cost: $10/month. Setup: 30 minutes. No coding. One trade on May 14: Bitcoin Down at 9AM ET. Market said 15.8¢. He put $1,681 on Down. It hit. +$8,974. A 533% return in 47 minutes. The real edge is the nightly self-learning loop. Every midnight, Opus reads the day's trade journal and rewrites MIN_PROB and MIN_EDGE in the .env file. May 2nd the threshold was 0.87. May 12th 0.89. May 23rd 0.91. The bot tightens with the regime. His version of the bot has rewritten itself 187 times in 23 days. The desk that cut him couldn't ban him from Polymarket. The bot doesn't sit in the colo. It doesn't need a leased line. It just reads two endpoints and presses a button. Save this if you want to dig in and understand Hermes. Or just copy this guy trades using TG bot - his algorithm has been perfected 187 times:

cvxv666

38,535 次观看 • 3 个月前

I built a C++ terminal to scan Polymarket for automated wallets. The first one it flagged was making $152K per week. Account88888. 99% win rate. Over 11,000 trades. The script surfaced it in minutes. I spent three weeks writing a scanner that monitors wallet behavior across Polymarket. Entry patterns. Position sizing. Timing intervals. → Wallet: The goal was simple find accounts that trade too consistently to be human. The first hit came back with stats that looked like a database error. 99% green. Thousands of executions. Profit curve pointing straight up without a single meaningful dip. I almost dismissed it as bad data. Then I opened the positions manually. The bot buys UP and DOWN on the same BTC window. Every time. Not alternating. Simultaneously. Sounds like guaranteed loss until you look at the pricing. During high volatility, Polymarket misprices both sides. UP costs 48 cents. DOWN costs 46 cents. Together that is 94 cents for two outcomes where one must pay a dollar. The bot buys both. Waits fifteen minutes. Collects $1. Keeps 6 cents. Repeats. It does not care about direction. Does not read charts. Does not react to news. It farms the spread between panic pricing and mathematical certainty. The wallet used to be named JaneStreetIndia before switching to something generic. Smart money stays quiet. My scanner keeps finding more of these. Different strategies but same signature execution patterns too clean and too fast for human hands. I built this tool expecting to learn how the best traders think. Instead I learned they do not think at all. They calculate.

I built a C++ terminal to scan Polymarket for automated wallets. The first one it flagged was making $152K per week. Account88888. 99% win rate. Over 11,000 trades. The script surfaced it in minutes. I spent three weeks writing a scanner that monitors wallet behavior across Polymarket. Entry patterns. Position sizing. Timing intervals. → Wallet: The goal was simple find accounts that trade too consistently to be human. The first hit came back with stats that looked like a database error. 99% green. Thousands of executions. Profit curve pointing straight up without a single meaningful dip. I almost dismissed it as bad data. Then I opened the positions manually. The bot buys UP and DOWN on the same BTC window. Every time. Not alternating. Simultaneously. Sounds like guaranteed loss until you look at the pricing. During high volatility, Polymarket misprices both sides. UP costs 48 cents. DOWN costs 46 cents. Together that is 94 cents for two outcomes where one must pay a dollar. The bot buys both. Waits fifteen minutes. Collects $1. Keeps 6 cents. Repeats. It does not care about direction. Does not read charts. Does not react to news. It farms the spread between panic pricing and mathematical certainty. The wallet used to be named JaneStreetIndia before switching to something generic. Smart money stays quiet. My scanner keeps finding more of these. Different strategies but same signature execution patterns too clean and too fast for human hands. I built this tool expecting to learn how the best traders think. Instead I learned they do not think at all. They calculate.

Marlow

820,456 次观看 • 8 个月前

An Anthropic researcher sat next to me at Ritual Coffee in the Mission yesterday He glanced at my screen and saw the wallet tracker "Wait. Are you copytrading Polymarket wallets" I nodded. "How do you pick which ones. Most of them lose money" 87% of them. I told him that's what Claude found when it scanned 14,000 wallets. "You ran Claude on the whole chain" Yeah. 86 million trades. Every wallet. Every entry. Every exit. I asked Claude one thing. Which wallets win by category, not overall. It came back with three groups. Weather specialists. 85-94% win rate on meteorological markets. Bleed on everything else. Crypto-only. 88-96% on crypto. Lose on politics. Macro traders. 82-91% on Fed decisions and rate cuts. Dead on sports. "So you don't copy the wallet. You copy the category" Exactly. Retail mirrors the whole wallet. Smart money filters to the one category where they actually have edge. Skip the rest. He asked about speed. Profitable wallets enter 0-3 seconds after signal. Retail enters 12-18 seconds later. Same trade. Different fill. 7 cents of slippage per entry. Over 200 trades that's $1,400 gone just from being slow. "That's not intelligence. That's execution" Both. Then I showed him the third pattern. Capital velocity. Elite wallets recycle the same $500 fifty-one times a month. Retail recycles once. Same seed. 51x the work. He went quiet. Another fill landed on my screen. Weather market. +$47. Wallet for copytrading: "How long have you been running this" 11 weeks. Week 1-2. Manual. Caught 35% of trades. Lost 6 cents to slippage. +$3,100. Week 3-5. Loaded 6 wallets into Kreo. Category filter on. Priority Mode executing in the same Polygon block. Caught 78%. +$18,900. Week 6-8. Velocity filter. Only wallets recycling 40x+ monthly. +$31,400. Week 9-11. Full auto. Copying weather, crypto, macro. Trading Asia hours while I sleep. +$40,800. Total from $800. +$98,500. "What did you study" Nothing. My roommate did the first run in February and made $94K. I just copied him in April. Start in February. $94K. Start in April. $98K. Start in August. Maybe $55K. Not because the strategy stops. Because edge compresses when more people find it. He pulled out his phone and started typing. "Stanford emailed my roommate yesterday. Reconsidering his application" He didn't open it. PhD teaches you to research for 5 years. Claude taught him to find edge in one night. Wallets are on-chain. Data is public. The bottleneck was never analysis. It was category filtering and execution speed. Copytrade here: Full breakdown went up yesterday. Every wallet address. Every pattern. Every week. His manager DMed me this morning. "Any chance we can talk" I told him the article is the talk. Too late to gatekeep.

An Anthropic researcher sat next to me at Ritual Coffee in the Mission yesterday He glanced at my screen and saw the wallet tracker "Wait. Are you copytrading Polymarket wallets" I nodded. "How do you pick which ones. Most of them lose money" 87% of them. I told him that's what Claude found when it scanned 14,000 wallets. "You ran Claude on the whole chain" Yeah. 86 million trades. Every wallet. Every entry. Every exit. I asked Claude one thing. Which wallets win by category, not overall. It came back with three groups. Weather specialists. 85-94% win rate on meteorological markets. Bleed on everything else. Crypto-only. 88-96% on crypto. Lose on politics. Macro traders. 82-91% on Fed decisions and rate cuts. Dead on sports. "So you don't copy the wallet. You copy the category" Exactly. Retail mirrors the whole wallet. Smart money filters to the one category where they actually have edge. Skip the rest. He asked about speed. Profitable wallets enter 0-3 seconds after signal. Retail enters 12-18 seconds later. Same trade. Different fill. 7 cents of slippage per entry. Over 200 trades that's $1,400 gone just from being slow. "That's not intelligence. That's execution" Both. Then I showed him the third pattern. Capital velocity. Elite wallets recycle the same $500 fifty-one times a month. Retail recycles once. Same seed. 51x the work. He went quiet. Another fill landed on my screen. Weather market. +$47. Wallet for copytrading: "How long have you been running this" 11 weeks. Week 1-2. Manual. Caught 35% of trades. Lost 6 cents to slippage. +$3,100. Week 3-5. Loaded 6 wallets into Kreo. Category filter on. Priority Mode executing in the same Polygon block. Caught 78%. +$18,900. Week 6-8. Velocity filter. Only wallets recycling 40x+ monthly. +$31,400. Week 9-11. Full auto. Copying weather, crypto, macro. Trading Asia hours while I sleep. +$40,800. Total from $800. +$98,500. "What did you study" Nothing. My roommate did the first run in February and made $94K. I just copied him in April. Start in February. $94K. Start in April. $98K. Start in August. Maybe $55K. Not because the strategy stops. Because edge compresses when more people find it. He pulled out his phone and started typing. "Stanford emailed my roommate yesterday. Reconsidering his application" He didn't open it. PhD teaches you to research for 5 years. Claude taught him to find edge in one night. Wallets are on-chain. Data is public. The bottleneck was never analysis. It was category filtering and execution speed. Copytrade here: Full breakdown went up yesterday. Every wallet address. Every pattern. Every week. His manager DMed me this morning. "Any chance we can talk" I told him the article is the talk. Too late to gatekeep.

Lunar

32,867 次观看 • 4 个月前

Chinese student used AI from Anthropic to turn $1,000 into $1,500,000 He studies at Tsinghua University in Beijing. His account is k9Q2m In such a young age he already make a million simply knowing the right formulas and being able to use Claude Result: $1,430 → $1,550,750 44,364 trades Win rate 100% The biggest win $23,600 on a single bet k9Q2m profile: How it bots work: The bot runs 6 formulas hedge funds use simultaneously, every tick. Most traders guess. This bot calculates. Formula 1 - LMSR Pricing Polymarket prices move on a logarithmic curve. The bot knows the exact price impact before entering. Market says 31¢ for BTC up in 5 minutes. The model sees the curve is mispriced. The bot enters before the correction. Formula 2 - Kelly Criterion Renaissance Capital uses it. Two Sigma uses it. Now your bot uses it. Every bet is sized exactly right. Never too big to blow the account. Never too small to matter. $1,000 bankroll. Consistent edge. Kelly compounds it into something real. Formula 3 - EV Gap Detection The bot scans every BTC market looking for one thing: - Where is the market price wrong by more than 5%? - Market says 30¢. Real probability is 55¢. EV = +0.52. The bot enters. Most people never see this gap. The bot never misses it. Formula 4 - KL-Divergence BTC 5-minute and 15-minute markets are correlated. When they drift apart - that's an arb. The bot measures the statistical distance between them every second. When it crosses 0.2, it flags the trade. This is how hedge funds extracted $100K+ on correlated election markets. The same logic runs here. Formula 5 - Bayesian Updates New block confirmed. Volume spike. Price movement. The bot doesn't ignore signals - it updates. Prior probability was 54%. New data comes in. Posterior jumps to 71%. The bot re-prices in real time while the market is still asleep. Formula 6 - Stoikov Execution Entering at the wrong moment kills the edge. The bot calculates the reservation price-the exact point where the risk-adjusted entry makes sense. It doesn't chase. It doesn't panic. It waits for the right tick, then fills What this means in practice: - Every few seconds the bot runs all six formulas in parallel. - If LMSR confirms mispricing - EV gap is above 5% - Kelly says the bet size is justified - Bayesian posterior agrees - KL-divergence flags the correlated drift - Stoikov clears the execution price Only then does the bot enter. Six filters. One trade. This isn't a trading bot. It's a hedge fund strategy running on a prediction market. The edge is real. The math is public. The difference is most people never build it. Just insert all these formulas into Claude and create your own bot Add this post to bookmarks so you don’t lose it Soon I will publish another bot with working formulas

AdiiX

718,709 次观看 • 6 个月前

I woke up to $4,217 on polymarket a week ago it was $1,000 i didn't place a single trade myself 6 AI agents did it for me running 24/7 on a $9/month server 84 trades. 57 wins. 69% win rate here's the full architecture, you can build the same thing 6 agents. each one has one job SCANNER monitors every hourly BTC/ETH market on polymarket pulls price from binance websocket in real time calculates momentum, volatility, orderbook imbalance runs every 60 minutes FACTOR MINER generates trading hypotheses using claude haiku ($0.25/1M tokens) tests each one against historical data keeps only factors with IC > 0.05 currently running 10 active factors. auto-kills bad ones after 50 trades ANALYST runs 3 signals in parallel: → LightGBM model (30 features, 500 trees) outputs probability → claude sonnet reads news from tavily, scores sentiment, weighted by source trust (EMA 0.95) → orderflow detector tracks whale buys, liquidity shifts, large order clusters all 3 signals go through bayesian aggregation not simple voting. actual bayes theorem market 52% UP. my signals: 62%, 71%, 63% bayesian posterior: 82% final probability 75.4% edge = 23.4% AUDITOR checks everything before money moves. catches hallucinated news blocks trades under 10 min to resolution blocks low liquidity markets penalizes confidence by 8% per flag found RISK MANAGER quarter kelly. max 10% bankroll per trade stops after 3 consecutive losses 15% drawdown = everything shuts down correlation limits so BTC and ETH positions don't stack. calculates exact EV before every trade EXECUTOR places orders through polymarket CLI. retry logic. 3 attempts. iceberg splits for large positions stack: → python + lightgbm for ML → langgraph for agent orchestration → binance websocket for prices → polymarket CLI (rust) for execution → coinbase agentic wallet (TEE) → hetzner VPS CX32: $9/month full monthly cost: $29 results after 7 days: 84 trades. 57 wins. 27 losses win rate: 69% $1,000 → $4,217 avg $460/day at current bankroll compound math: $17,800 by next friday $75k+ end of month the system trades every hour. i check telegram alerts from my phone

I woke up to $4,217 on polymarket a week ago it was $1,000 i didn't place a single trade myself 6 AI agents did it for me running 24/7 on a $9/month server 84 trades. 57 wins. 69% win rate here's the full architecture, you can build the same thing 6 agents. each one has one job SCANNER monitors every hourly BTC/ETH market on polymarket pulls price from binance websocket in real time calculates momentum, volatility, orderbook imbalance runs every 60 minutes FACTOR MINER generates trading hypotheses using claude haiku ($0.25/1M tokens) tests each one against historical data keeps only factors with IC > 0.05 currently running 10 active factors. auto-kills bad ones after 50 trades ANALYST runs 3 signals in parallel: → LightGBM model (30 features, 500 trees) outputs probability → claude sonnet reads news from tavily, scores sentiment, weighted by source trust (EMA 0.95) → orderflow detector tracks whale buys, liquidity shifts, large order clusters all 3 signals go through bayesian aggregation not simple voting. actual bayes theorem market 52% UP. my signals: 62%, 71%, 63% bayesian posterior: 82% final probability 75.4% edge = 23.4% AUDITOR checks everything before money moves. catches hallucinated news blocks trades under 10 min to resolution blocks low liquidity markets penalizes confidence by 8% per flag found RISK MANAGER quarter kelly. max 10% bankroll per trade stops after 3 consecutive losses 15% drawdown = everything shuts down correlation limits so BTC and ETH positions don't stack. calculates exact EV before every trade EXECUTOR places orders through polymarket CLI. retry logic. 3 attempts. iceberg splits for large positions stack: → python + lightgbm for ML → langgraph for agent orchestration → binance websocket for prices → polymarket CLI (rust) for execution → coinbase agentic wallet (TEE) → hetzner VPS CX32: $9/month full monthly cost: $29 results after 7 days: 84 trades. 57 wins. 27 losses win rate: 69% $1,000 → $4,217 avg $460/day at current bankroll compound math: $17,800 by next friday $75k+ end of month the system trades every hour. i check telegram alerts from my phone

Archive

30,073 次观看 • 6 个月前

An Anthropic researcher sat down next to me at a hackathon last week. Claude Opus 4.7 was running 4 agents on my laptop. Live. No manual input. She looked at the terminal and said: "What is this?" I showed her. 4 agents. 678 trades. 81% win rate. $16,200 last 30 days. She worked on the evals team. She'd never seen Claude pointed at 88 million on-chain trades. The setup is 3 public repos. All free. -> 88 million Polymarket trades. Every wallet. Every entry. Every exit. Every resolution. -> the framework that bridges Claude Opus 4.7 directly to live markets. Order placement, position tracking, exit timing. -> real-time WebSocket order book. Depth on both sides. No polling, no lag. Four agents. One loop. Agent 1 identifies which wallets win consistently across 88 million trades. Agent 2 reverse-engineers their entry timing. Agent 3 monitors order book volume spikes. Agent 4 sizes positions using Kelly. No overbet. Drawdown capped at 1.4% over 678 trades. 85% of windows get killed. No trade. The bot only enters when 3 signals align: -> Elite wallet consensus pointing the same direction. -> Price divergence with Binance and Coinbase both agreeing. -> Order book imbalance confirming the bias. Single-source price data was 57% accurate. All three together: 81%. Exit before resolution. Always. Losers hold to 0 or $1. The agents copy their exits. The agents don't gamble on that. My stack: Claude Opus 4.7 at $19/mo, VPS Hetzner at $4.99/mo, Everything else free. Total stats: $23.99/month. 30 days: 678 trades, 81% win rate, net +$16,200, max drawdown -1.2%, avg hold 4h 12m. She asked if Anthropic could test this internally. "We run Claude on benchmarks and evals. Nobody pointed it at a live market dataset with 88 million rows." Claude Opus 4.7 didn't need a system prompt. It read the wallet index, understood the signal structure, and wrote the combiner logic in one pass. The people who built the model hadn't thought to point it at this data. I had. Copy the live trades: -> all 4 agents run 24/7. The window is open right now. Save this, follow me and comment OPUS. I will send the guide to you.

An Anthropic researcher sat down next to me at a hackathon last week. Claude Opus 4.7 was running 4 agents on my laptop. Live. No manual input. She looked at the terminal and said: "What is this?" I showed her. 4 agents. 678 trades. 81% win rate. $16,200 last 30 days. She worked on the evals team. She'd never seen Claude pointed at 88 million on-chain trades. The setup is 3 public repos. All free. -> 88 million Polymarket trades. Every wallet. Every entry. Every exit. Every resolution. -> the framework that bridges Claude Opus 4.7 directly to live markets. Order placement, position tracking, exit timing. -> real-time WebSocket order book. Depth on both sides. No polling, no lag. Four agents. One loop. Agent 1 identifies which wallets win consistently across 88 million trades. Agent 2 reverse-engineers their entry timing. Agent 3 monitors order book volume spikes. Agent 4 sizes positions using Kelly. No overbet. Drawdown capped at 1.4% over 678 trades. 85% of windows get killed. No trade. The bot only enters when 3 signals align: -> Elite wallet consensus pointing the same direction. -> Price divergence with Binance and Coinbase both agreeing. -> Order book imbalance confirming the bias. Single-source price data was 57% accurate. All three together: 81%. Exit before resolution. Always. Losers hold to 0 or $1. The agents copy their exits. The agents don't gamble on that. My stack: Claude Opus 4.7 at $19/mo, VPS Hetzner at $4.99/mo, Everything else free. Total stats: $23.99/month. 30 days: 678 trades, 81% win rate, net +$16,200, max drawdown -1.2%, avg hold 4h 12m. She asked if Anthropic could test this internally. "We run Claude on benchmarks and evals. Nobody pointed it at a live market dataset with 88 million rows." Claude Opus 4.7 didn't need a system prompt. It read the wallet index, understood the signal structure, and wrote the combiner logic in one pass. The people who built the model hadn't thought to point it at this data. I had. Copy the live trades: -> all 4 agents run 24/7. The window is open right now. Save this, follow me and comment OPUS. I will send the guide to you.

slash1s

46,350 次观看 • 4 个月前

an ex-Citadel quant told me a salary is a short position on your own time we were at a dinner in new york. friend of a friend. he asked what i do. "software engineer. $4,200 a month" he said one simple thing "you're mass-selling the most valuable asset you have. your hours. at a fixed price. with no upside. that's a short position on your own life" i didn't have a response. then he showed me his phone. a terminal. live trades. +$39,453 running for 6 weeks. "i built this with Claude Opus 4.7 and one open source dataset. took a weekend. haven't touched it since" i asked how. "gave Opus one repo and one prompt. find who wins on prediction markets. find why. copy their edge" 2,900 stars. 36GB. every trade on Polymarket and Kalshi. every wallet. every resolution. Opus read the whole dataset friday night. by sunday it had a live terminal scanning 1,400 markets per hour. 8 detectors running in parallel. entering when void score exceeds 90. exiting when it drops below 75. no human override. > Senate filibuster. locked at 42c. now 98c. +$1,133. > Neuralink approval. entered 52c. now 98c. +$1,396. > Fed 0% rate. entered 35c. now 97c. +$1,147. > BTC 250K. entered 8c. now 98c. +$1,258. > Megaquake. entered 6c. now 97c. +$1,039. the part that broke something in me: latency arbitrage. Polymarket updates in 19ms. Kalshi in 63ms. the bot trades the 44ms gap between them. automatically. every time. "we had four people at Citadel doing what your bot does with latency alone" copy mirror tracking 6 positions: > Senate fili +$1,252. void signal. 10%. > BTC 250K +$958. zero signal. 2%. > Neuralink +$1,384. sign signal. 9%. > Fed 0% +$863. fill signal. 8%. > Megaquake +$1,070. bridge signal. 18%. > META AI +$979. gas signal. 5%. 972 trades. 83% win rate. kelly f+ 0.101. avg profit $10.65. drawdown -1.4%. maker rebate tracker collecting $203 across four platforms while the bot trades. Polymarket +$114. Kalshi +$40. dYdX +$28. Betfair +$21. $1,800 seed. +$39,453. i quit the next morning. one email. "i'm done. thank you for everything." copytrade setup: texted him a week later. "you ruined a perfectly stable career" he replied "no. i closed your short position"

an ex-Citadel quant told me a salary is a short position on your own time we were at a dinner in new york. friend of a friend. he asked what i do. "software engineer. $4,200 a month" he said one simple thing "you're mass-selling the most valuable asset you have. your hours. at a fixed price. with no upside. that's a short position on your own life" i didn't have a response. then he showed me his phone. a terminal. live trades. +$39,453 running for 6 weeks. "i built this with Claude Opus 4.7 and one open source dataset. took a weekend. haven't touched it since" i asked how. "gave Opus one repo and one prompt. find who wins on prediction markets. find why. copy their edge" 2,900 stars. 36GB. every trade on Polymarket and Kalshi. every wallet. every resolution. Opus read the whole dataset friday night. by sunday it had a live terminal scanning 1,400 markets per hour. 8 detectors running in parallel. entering when void score exceeds 90. exiting when it drops below 75. no human override. > Senate filibuster. locked at 42c. now 98c. +$1,133. > Neuralink approval. entered 52c. now 98c. +$1,396. > Fed 0% rate. entered 35c. now 97c. +$1,147. > BTC 250K. entered 8c. now 98c. +$1,258. > Megaquake. entered 6c. now 97c. +$1,039. the part that broke something in me: latency arbitrage. Polymarket updates in 19ms. Kalshi in 63ms. the bot trades the 44ms gap between them. automatically. every time. "we had four people at Citadel doing what your bot does with latency alone" copy mirror tracking 6 positions: > Senate fili +$1,252. void signal. 10%. > BTC 250K +$958. zero signal. 2%. > Neuralink +$1,384. sign signal. 9%. > Fed 0% +$863. fill signal. 8%. > Megaquake +$1,070. bridge signal. 18%. > META AI +$979. gas signal. 5%. 972 trades. 83% win rate. kelly f+ 0.101. avg profit $10.65. drawdown -1.4%. maker rebate tracker collecting $203 across four platforms while the bot trades. Polymarket +$114. Kalshi +$40. dYdX +$28. Betfair +$21. $1,800 seed. +$39,453. i quit the next morning. one email. "i'm done. thank you for everything." copytrade setup: texted him a week later. "you ruined a perfectly stable career" he replied "no. i closed your short position"

Hanako

379,758 次观看 • 4 个月前

someone leaked MiroFish's wallet address last night Op0jogggg - $1.48M profit in 4 months i copied it with OpenClaw and made $37K in 3 days this isn't another bot story MiroFish is the chinese AI that's been destroying polymarket since november betting on: - trump rallies - premier league - valorant tournaments - norwegian third division football nobody can be expert in all of this the machine analyzes terabytes in a second, finds arbitrage windows, places bets milliseconds before odds update found the wallet leak on a telegram channel at 4 AM gave my OpenClaw the address: "watch this wallet, copy every entry signal, execute 2 seconds after it does" day 1: bot copied 73 trades didn't understand why any of them made sense just pure mimicry $900 → $8,200 day 2: OpenClaw started finding the pattern: MiroFish doesn't bet on outcomes it bets on when polymarket will reprice whale moves USDC on-chain → 6 seconds later polymarket odds shift X sentiment explodes → 8 seconds later market updates MiroFish enters that 6-8 second gap $8,200 → $19,400 day 3: my bot stopped copying started predicting the same windows MiroFish hunts → blockchain USDC tracker → X sentiment API → orderbook depth scanner when all 3 spike = entry $19,400 → $37,200 here's what fucked me up: checked the logs this morning OpenClaw placed 14 trades before MiroFish entered the same markets it learned the pattern now it's front running the bot i was copying we're not trading anymore we're training AI to hunt other AI copytrade mirofish before this edge dies: this either prints forever or stops working tomorrow

someone leaked MiroFish's wallet address last night Op0jogggg - $1.48M profit in 4 months i copied it with OpenClaw and made $37K in 3 days this isn't another bot story MiroFish is the chinese AI that's been destroying polymarket since november betting on: - trump rallies - premier league - valorant tournaments - norwegian third division football nobody can be expert in all of this the machine analyzes terabytes in a second, finds arbitrage windows, places bets milliseconds before odds update found the wallet leak on a telegram channel at 4 AM gave my OpenClaw the address: "watch this wallet, copy every entry signal, execute 2 seconds after it does" day 1: bot copied 73 trades didn't understand why any of them made sense just pure mimicry $900 → $8,200 day 2: OpenClaw started finding the pattern: MiroFish doesn't bet on outcomes it bets on when polymarket will reprice whale moves USDC on-chain → 6 seconds later polymarket odds shift X sentiment explodes → 8 seconds later market updates MiroFish enters that 6-8 second gap $8,200 → $19,400 day 3: my bot stopped copying started predicting the same windows MiroFish hunts → blockchain USDC tracker → X sentiment API → orderbook depth scanner when all 3 spike = entry $19,400 → $37,200 here's what fucked me up: checked the logs this morning OpenClaw placed 14 trades before MiroFish entered the same markets it learned the pattern now it's front running the bot i was copying we're not trading anymore we're training AI to hunt other AI copytrade mirofish before this edge dies: this either prints forever or stops working tomorrow

ZER

74,356 次观看 • 6 个月前

Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -that’s why weather bots are so clean. Onchain proof these bots exist: 1st bot: 2nd bot: I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95°F tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16°C. Your 51-model ensemble points at 19°C. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet — just watch where you'd have been right. - Weeks 2–3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.

Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -that’s why weather bots are so clean. Onchain proof these bots exist: 1st bot: 2nd bot: I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95°F tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16°C. Your 51-model ensemble points at 19°C. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet — just watch where you'd have been right. - Weeks 2–3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.

cvxv666

50,799 次观看 • 5 个月前

Ran into an Anthropic engineer at an airport lounge in Frankfurt last month. SFO delayed six hours. Nothing to do. I had my laptop open. Bot running. Three agents scoring markets in the background. Guy sits two seats down. Glances at my screen. Looks away. Looks back. "Is that Polymarket?" I said yeah. "You're running it with Claude Code?" I nodded. He pulled his chair closer. "I'm on the agent team. We stress-test this exact setup internally. You built it in your kitchen" I asked what stress-test meant. "Red team. We simulate what happens when someone gives Claude raw wallet data and tells it to find the winners. You're running the thing we were scared about" I showed him the scanner. One prompt. Find every wallet with 100 plus trades, 70 plus win rate. Rank by profit. Export top 50. Claude chewed through 14,000 wallets in under 4 minutes. Came back with 47. Top 20 made more than the bottom 13,000 combined. "That's not a distribution. That's a hit list" I said yeah. "And the scoring function?" Claude wrote it. I just wrapped it in an if-statement. A fill landed on screen mid-conversation. +$128 on an ETH dominance market. He stared at it. "How does it decide to enter" Three agents. Shared wallet. No shared memory. Arbitrage, convergence, whale copy. 2 of 3 agree, full size. 1 alone, half. Disagree, no trade. That consensus filter alone killed 40% of losing trades. "And the exit" The 47 whales never hold to settlement. 91% exit early. Capture 73% of max. I cut at 85% of the expected move. Or a 3x volume spike. Whichever comes first. "So you built a whale copy bot that exits before the whales" Yeah. He put his coffee down. "That's exactly the thing we gamed out in March. Management killed the internal version on policy. Nobody outside the team should have shipped this yet" I asked what he was going to do. "Fly home and pretend I didn't see it" $600 seed. 31 days. Net +$35,200. 479 trades. 75% win rate. Sharpe 2.63. I haven't touched the bot in three weeks. Copytrade for those who don't want to build - Before boarding he slid a card across the table. "When the next agent model drops, rerun your prompt. You'll see what I mean"

Ran into an Anthropic engineer at an airport lounge in Frankfurt last month. SFO delayed six hours. Nothing to do. I had my laptop open. Bot running. Three agents scoring markets in the background. Guy sits two seats down. Glances at my screen. Looks away. Looks back. "Is that Polymarket?" I said yeah. "You're running it with Claude Code?" I nodded. He pulled his chair closer. "I'm on the agent team. We stress-test this exact setup internally. You built it in your kitchen" I asked what stress-test meant. "Red team. We simulate what happens when someone gives Claude raw wallet data and tells it to find the winners. You're running the thing we were scared about" I showed him the scanner. One prompt. Find every wallet with 100 plus trades, 70 plus win rate. Rank by profit. Export top 50. Claude chewed through 14,000 wallets in under 4 minutes. Came back with 47. Top 20 made more than the bottom 13,000 combined. "That's not a distribution. That's a hit list" I said yeah. "And the scoring function?" Claude wrote it. I just wrapped it in an if-statement. A fill landed on screen mid-conversation. +$128 on an ETH dominance market. He stared at it. "How does it decide to enter" Three agents. Shared wallet. No shared memory. Arbitrage, convergence, whale copy. 2 of 3 agree, full size. 1 alone, half. Disagree, no trade. That consensus filter alone killed 40% of losing trades. "And the exit" The 47 whales never hold to settlement. 91% exit early. Capture 73% of max. I cut at 85% of the expected move. Or a 3x volume spike. Whichever comes first. "So you built a whale copy bot that exits before the whales" Yeah. He put his coffee down. "That's exactly the thing we gamed out in March. Management killed the internal version on policy. Nobody outside the team should have shipped this yet" I asked what he was going to do. "Fly home and pretend I didn't see it" $600 seed. 31 days. Net +$35,200. 479 trades. 75% win rate. Sharpe 2.63. I haven't touched the bot in three weeks. Copytrade for those who don't want to build - Before boarding he slid a card across the table. "When the next agent model drops, rerun your prompt. You'll see what I mean"

rari

618,879 次观看 • 4 个月前

A fired Goldman Sachs quant trader taught me everything in a single conversation He said: “We don’t do predictions. We only buy contracts where the price deviation exceeds 6%.” It’s just that simple That’s the desk operation for a $2 million annual salary I fed his explanation and 5 GitHub repos into Claude, and Claude built a scanner. It processes over 400 markets every hour This scanner can find those contracts priced in the 7-19c range, with true probabilities between 60-90% At these entry points, you need a win rate of 1/4 And this bot’s win rate is 81% Three months later: From $2,000 to $8,191 99 trades, Sharpe ratio 2.30 A few cases: ETH Merge upgrade - market 72c, true probability 88%, +19c SOL breaks $200 - market 44c, true probability 81%, +15c Florida hurricane cat3+ - market 81c, true probability 92%, +7c Wheat breaks $800 - market 53c, true probability 68%, +20c All of these were found by the scanner, and all were profitable He looked at my terminal last week He said: “This is what we do with $800M, 47-person team.” And my current setup costs $25 per month Claude - $20 VPS - $5 Repos - free API - free Now there are 8 agents running 24/7: velvet_void +$697 nano_alpha +$541 ratking_eth +$407 darkpool_7 +$356 His fund returned 19% last year And my setup returned 409% in three months The real edge was never any secret—it’s just always been expensive, until now 70% win rate, 7 wallets copytrading rn from ~500 monitored, bot never paused, never gambling, just math and profit Giving This Free for 24 hours. To get it: 1. Comment the word 'Claude' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)

A fired Goldman Sachs quant trader taught me everything in a single conversation He said: “We don’t do predictions. We only buy contracts where the price deviation exceeds 6%.” It’s just that simple That’s the desk operation for a $2 million annual salary I fed his explanation and 5 GitHub repos into Claude, and Claude built a scanner. It processes over 400 markets every hour This scanner can find those contracts priced in the 7-19c range, with true probabilities between 60-90% At these entry points, you need a win rate of 1/4 And this bot’s win rate is 81% Three months later: From $2,000 to $8,191 99 trades, Sharpe ratio 2.30 A few cases: ETH Merge upgrade - market 72c, true probability 88%, +19c SOL breaks $200 - market 44c, true probability 81%, +15c Florida hurricane cat3+ - market 81c, true probability 92%, +7c Wheat breaks $800 - market 53c, true probability 68%, +20c All of these were found by the scanner, and all were profitable He looked at my terminal last week He said: “This is what we do with $800M, 47-person team.” And my current setup costs $25 per month Claude - $20 VPS - $5 Repos - free API - free Now there are 8 agents running 24/7: velvet_void +$697 nano_alpha +$541 ratking_eth +$407 darkpool_7 +$356 His fund returned 19% last year And my setup returned 409% in three months The real edge was never any secret—it’s just always been expensive, until now 70% win rate, 7 wallets copytrading rn from ~500 monitored, bot never paused, never gambling, just math and profit Giving This Free for 24 hours. To get it: 1. Comment the word 'Claude' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)

Marry Evan

172,989 次观看 • 5 个月前

a Citadel intern told me something at a party he probably shouldn't have it was on a rooftop in brooklyn. i mentioned i trade prediction markets. he got quiet for a second. "we have a model for that. it scores every contract on four factors. when all four align we enter. when any breaks we exit. that's it" i asked what the four factors are. he looked around. then said it fast like he was confessing. "cross-market divergence. disposition coefficient. capital velocity. pair network correlation" I didn't know what half of that meant. but i memorized it. went home. 11pm. opened Claude. "here are four scoring factors from a quant fund. build a terminal that runs all four on prediction markets" Claude asked one question: "Where's the data?" I sent him one repo: 86 million trades. every wallet. every entry. every outcome three weeks later i'm sitting in my apartment watching a screen i barely understand print money. the disposition meter alone changed everything. it measures how you exit - not how you enter. top wallets capture 86% of winner value and cut losers at 12%. everyone else captures 58% and holds losers to 41%. same exact entries. the exits make it a completely different game. capital velocity: 49x. every dollar gets recycled 49 times before the average trader recycles once. the terminal found 42 pair correlations across 11 markets. when MSFT beats Q3 is priced at 80c but the model reads 93% - it enters. when the gap closes 2 hours later - it exits. no opinions. no news. just four numbers that either align or don't. his fund runs this with a floor of PhDs and $800M AUM. my setup: > Claude - $20/month > VPS - $5/month > poly_data repo - free > Polymarket API - free $25/month. no team. no office. no Bloomberg. 280 trades so far. 70% win rate. $800 seed. four bots splitting the work: pulse_alpha +$299. arb_hunter +$558. trend_rider +$337. cal_engine +$719. +$11,514 total. copytrade here: he texted me last week. "delete everything i told you" too late.

a Citadel intern told me something at a party he probably shouldn't have it was on a rooftop in brooklyn. i mentioned i trade prediction markets. he got quiet for a second. "we have a model for that. it scores every contract on four factors. when all four align we enter. when any breaks we exit. that's it" i asked what the four factors are. he looked around. then said it fast like he was confessing. "cross-market divergence. disposition coefficient. capital velocity. pair network correlation" I didn't know what half of that meant. but i memorized it. went home. 11pm. opened Claude. "here are four scoring factors from a quant fund. build a terminal that runs all four on prediction markets" Claude asked one question: "Where's the data?" I sent him one repo: 86 million trades. every wallet. every entry. every outcome three weeks later i'm sitting in my apartment watching a screen i barely understand print money. the disposition meter alone changed everything. it measures how you exit - not how you enter. top wallets capture 86% of winner value and cut losers at 12%. everyone else captures 58% and holds losers to 41%. same exact entries. the exits make it a completely different game. capital velocity: 49x. every dollar gets recycled 49 times before the average trader recycles once. the terminal found 42 pair correlations across 11 markets. when MSFT beats Q3 is priced at 80c but the model reads 93% - it enters. when the gap closes 2 hours later - it exits. no opinions. no news. just four numbers that either align or don't. his fund runs this with a floor of PhDs and $800M AUM. my setup: > Claude - $20/month > VPS - $5/month > poly_data repo - free > Polymarket API - free $25/month. no team. no office. no Bloomberg. 280 trades so far. 70% win rate. $800 seed. four bots splitting the work: pulse_alpha +$299. arb_hunter +$558. trend_rider +$337. cal_engine +$719. +$11,514 total. copytrade here: he texted me last week. "delete everything i told you" too late.

Hanako

1,741,333 次观看 • 5 个月前