Steve Emofi

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: @coldmath?r=antopotoshka#ido75pp" target="_blank" rel="nofollow noopener">polymarket.com/@coldmath?r=an… 2nd bot: @hondacivic?r=antopotoshka#xW9PjFh" target="_blank" rel="nofollow noopener">polymarket.com/@hondacivic?r=… 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: @cvxv666" target="_blank" rel="nofollow noopener">kreo.app/@cvxv666 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.

CHINESE DEVELOPER RECORDED A 2 MINUTE TUTORIAL ON HOW TO SET UP CLAUDE CODE AGENTS AND TURNED $284 INTO 868K Three monitors behind him. Messy desk. Cables everywhere. Posted it to Bilibili expecting maybe 100 views. Bro pause at 0:47. Look at the right monitor. $868K PROFIT WHAT? gabagool22. $868,862 profit. 28,620 predictions. Joined October 2025. His profile: @gabagool22?r=ecosystem" target="_blank" rel="nofollow noopener">polymarket.com/@gabagool22?r=… Copytrading: ares.pro/wallets/0x6031… He was just filming a simple tutorial about AI agents nothing special. But he overlooked one small detail: his crypto wallet was open on a second monitor. And for a few seconds, it slipped into the frame. What people saw didn’t make sense at first. 28,620 trades. All in BTC. Every single one on 15-minute intervals. And somehow… every single one profitable. The comments quickly turned into an investigation. Someone slowed the video down to 0.25x. Others captured every frame where the second screen appeared. Piece by piece, they stitched it together rebuilding the entire wallet view from just a few seconds of background footage. The numbers looked unreal: entries between 2 and 10 cents, exits in the thousands. Line after line glowing green. Not a single loss across tens of thousands of trades. And it wasn’t just one machine. It was a system. A whole farm of computers, each scanning different 15-minute windows at the same time. Together, they covered everything nonstop, 24/7. He deleted the video three hours later. But by then, it didn’t matter. Someone had already recorded it. The clip surfaced on Discord. Then spread to Telegram. Then exploded on Twitter. The original tutorial barely reached 200 views. The clip of his second monitor? Over 400,000. Now hundreds of thousands of people are watching that wallet. He hasn’t posted anything since. But the screens are still running. The wallet is still active. The system hasn’t stopped. He set out to teach people how to build AI agents. Instead, he accidentally revealed what his were already doing.

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$233 → $19K just by locking in on weather markets 3,500+ predictions only trades weather… nothing else his edge is simple but powerful: focuses on 1–2 day markets sticks to just NYC, Seattle, Atlanta for copytrading: t.me/predictr_trade… model gets sharper as data just refining the same edge every day one example: $5 → $438 on a Seattle temp range (+8,200%) this is what happens when you go all-in on one niche and master it