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Weather trading Clawdbots making thousands $ on Polymarket by simple arbitrage. Scanning weather markets every 2 mins and comparing data to NOAA forecast for location/date If they see undervalued temperature bucket ( Run your clawdbot in 5 simple steps: • install clawdbot on mac/pc using oneliner code • connect...

1,405,694 views • 4 months ago •via X (Twitter)

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🚨This is insane… this guy built a clawdbot that flipped $69 into $1M+ on POLYMARKET Sounds insane? 100%. Fake? Not even remotely. If you trade on Polymarket, this should have YOUR focus. A fresh wallet just surfaced with 22,173 resolved predictions and $1,013,168 in PNL It trades strictly in NEW 5-minute & 15-minute crypto markets Profile → COPYTRADE → Weekly profit is sitting around ~$100,000 And what powers it is almost offensively simple I reviewed the entire setup No sophisticated ML stacks No institutional-grade systems No complex data pipelines Just automated execution paired with statistical edge His COMPLETE playbook: 1. Ultra-short timeframes Only 5-min Up/Down contracts. Locked into 5 & 15m markets exclusively. Clawdbot-style execution framework. Pure intraday momentum extraction. No swing positions. No storytelling. Just speed and repetition 2. Order splitting + micro sizing Every position is broken into multiple small entries. Fixed predefined size per fill. Size scales only when conviction increases. This limits drawdowns and smooths the equity curve 3. Probability farming The model doesn’t hunt for moonshots. It stacks small mathematical edges. Over thousands of trades = that compounds into six figures monthly Largest trade so far: “Bitcoin Up or Down - January 19, 5-6AM ET” $13,320 → $36,887 (+176%) Now the important part: This can be replicated cursor + py-clob-client + python install the SDK generate Polymarket API keys define the Clawdbot strategy prompt AI builds the Clawdbot execution logic paper test with $1 You don’t need elite discretionary skill Bottom line Why are you still trading manually while automated systems run 24/7?

Shelpid.WI3M

10,486 views • 4 months ago