Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

๐Ÿšจ THIS DEVELOPER USED CLAUDE TO BUILD AN AI TRADING SYSTEM THAT MADE $847 OVERNIGHT. it all started with a single article about Polymarket bots. Claude Fable 5 read it, selected 7 GitHub repositories, connected them into a working pipeline, and deployed the entire system from start to finish....

27,774 Aufrufe โ€ข vor 19 Tagen โ€ขvia X (Twitter)

0 Kommentare

Keine Kommentare verfรผgbar

Kommentare vom Original-Post werden hier angezeigt

ร„hnliche Videos

๐Ÿšจ NO WAYโ€ฆ $500K profit with Clawdbot and Polymarket, all automated This is NOT bait and itโ€™s not made up. If you trade on Polymarket, you NEED to see this. He started small, built a fully autonomous system, and scaled it into a machine generating ~$500K in profit No insider access No ties to Trump or Musk Just a developer who integrated moltbot (clawdbot) directly into Polymarket Profile โ†’ Copytrade โ†’ I reviewed his setup and ngl, it caught me off guard No hype strategies No discretionary trading No human intervention at all The entire system runs fully autonomously His FULL strategy: 1. 15-minute BTC & ETH micro arbitrage The bot trades short-duration Bitcoin and Ethereum markets with 15-minute resolution. Within these fast markets, it exploits moments where YES + NO temporarily price below $1. By integrating moltbot (clawdbot) directly into Polymarket, the system captures these gaps instantly, without prediction or bias 2. Automation over reaction When volatility spikes and emotions take over, the system executes mechanically. No hesitation, no latency, no human delay. By the time most traders react, the inefficiency is already gone 3. Scale through autonomy Each trade earns cents, not dollars. But full automation allows nonstop repetition at massive frequency, with zero fatigue Scale matters 29,256 trades executed, each insignificant on its own. Stacked together, they compounded into nearly $500K in profit Bottom line IMO, thereโ€™s a quiet bot war unfolding on Polymarket Manual traders argue setups Machines exploit structure And as long as inefficiencies exist, autonomous systems will keep printing.

Shelpid.WI3M

985,464 Aufrufe โ€ข vor 5 Monaten

CLAUDE BUILT A TRADING SYSTEM ON MY MAC I gave Claude full control over my Mac and just left it running overnight No prompts, no detailed instructions โ€“ I just told it to figure out how to make money on Polymarket Then I closed the laptop and went to sleep In the morning, I opened my Mac and saw the terminal still running with logs constantly updating At first it looked like random activity, but once I scrolled through it, I realized it had actually built a structured system overnight It was already tracking wallets Ranking them by performance Filtering out the ones with random entries And focusing only on the ones with consistent behavior What surprised me the most is that it didnโ€™t stop at analysis It organized everything into a working dashboard inside the terminal Capital, PnL, winrate โ€“ all updating in real time It even ranked wallets based on performance metrics like ROI, consistency, and execution timing This is the part I would normally spend hours building manually At that point, it was ready to trade, but not actually executing anything yet So I connected it to a Telegram copytrading bot to actually execute the trades, and just let it run Bot: Polymarket: After that, it started opening positions on its own A few hours later I checked the dashboard again Capital: $12,380 P&L: +$23,128 Winrate: 100% 48 trades executed Now Iโ€™m not even trading myself I just check the dashboard and see what itโ€™s doing And the strange part is โ€“ it keeps getting better the longer it runs

๐—–๐—›๐—”๐—œ๐—ก ๐— ๐—œ๐—ก๐—— โ›“๐Ÿง 

82,898 Aufrufe โ€ข vor 4 Monaten

I asked my bot to read 20 Polymarket quant articles and build me a trading system. One week later: $600 โ†’ $20,400. The crazy part? It didnโ€™t just copy the strategies from the articles. It found the edges the authors never mentioned. I gave Claude Opus a simple prompt: โ€œRead these 20 quant articles. Extract every strategy. Then figure out what theyโ€™re not saying.โ€ 48 hours later, the bot was live. The articles talked about the usual things: โ€ข basic arbitrage โ€ข weather markets โ€ข 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 3โ€“6% per trade. So the system ignored the advice. And copied the behavior. Week 1 results โ€ข 127 trades executed โ€ข 71% win rate โ€ข $600 โ†’ $20,400 Biggest trade: $4,100 profit on a 15-minute BTC market Funny thing? The articles called those markets โ€œtoo risky.โ€ The bot saw 18 top wallets entering at the same time. Copytrade โ†’ What the bot actually does โ†’ scans quant articles for strategy mentions โ†’ tracks wallets belonging to the authors โ†’ compares what they write vs what they trade โ†’ trades the difference The edge isnโ€™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 Aufrufe โ€ข vor 4 Monaten

๐Ÿšจ BREAKINGโ€ฆ the top performing 5m & 15m Polymarket Claude setup is now fully open-source Sounds insane? 100%. Unreal? NOT at all. A modest wallet deployed a fully automated system that scaled up to roughly ~$1.8M in profit No affiliation with the Polymarket team Just a developer operating a bot directly connected to Polymarket Profile โ†’ Copytrade โ†’ Everything is fully automated His FULL strategy: 1. 5 & 15-minute BTC & ETH latency arbitrage The bot trades ultra-short Bitcoin and Ethereum markets with 5 & 15-minute expirations - and similar logic applies to fast 5m markets often associated with claude-style execution. When BTC moves on Binance, Polymarket pricing reacts slower. For around 30 seconds, odds reflect stale data. The system enters during that gap, when YES + NO combined is below $1, waits for repricing, and exits the moment the market corrects. No predictions, no bias - just harvesting mispriced odds 2. Automation over reaction When volatility spikes, humans pause. The system doesnโ€™t. It triggers instantly when the window opens. No emotion, no hesitation, no missed fills. By the time manual traders click, the inefficiency has already disappeared 3. Scale through repetition Each trade earns small spreads, not headline wins. But automation allows continuous execution at scale, every 15 minutes - and on faster 5m rotations running 24/7 without burnout Scale is the edge 23,457 trades placed - irrelevant on their own. Together, they compounded into ~$1.8M in profit, with a largest single gain of $41,2K and an equity curve that trends almost vertically

Shelpid.WI3M

31,069 Aufrufe โ€ข vor 5 Monaten