Weather Edge Finder

⚡️New Features dropped on the Weather Edge Finder: Improvements to the EV calculations; An expanded weather tracking history with CLI comparison.

@qwinsi0x Simple framework. Hard execution.

This guy turned $37 -> $15,100 on just one weather prediction. His nickname is HondaCivic. He used to work as a meteorologist, but once he realized the market would pay much more for his talent, he quit. And he wasn’t wrong: in just 2 months, he achieved something incredible. While we’re trading crazy BTC 5-minute charts, he quietly makes +40,000% on temperature bets. His stats speak for themselves: > PnL: $43,686 > Biggest Win: $15,100 > WR: 89.4% > Predictions: 2,460 Here’s how his strategy works: He buys one part of his predictions for 90-99¢, which is a safe and obvious play. The other part he buys at undervalued temporary prices, usually between 0.2¢ and 50¢. It might sound simple, but the results prove it works like clockwork.

@0xMarchyel @PolymarketTrade @Polymarket @predictionarc That’s where tracking intraday pace really matters. The forecast can be right, but the movement along the way changes how you manage the position.

Another good day in NYC weather market on #polymarket - $1.6k profit I had even in-between 3k shares, but I sold some very early because temperature was a rollercoaster between 53F and 59F. In the end my prediction was correct @PolymarketTrade @Polymarket @predictionarc

@said116dao This approach works when you understand how the forecast distributes across ranges. Most people still think in single outcomes instead of probabilities.

I found an automated AI trading bot! He's already made $80,000 by making weather predictions! Yeah, his username is "automatedAItradingbot," which basically means it's an AI bot. How does it determine so accurately what the temperature will be in a particular city? In fact, his strategy is well known— > He buys a range of degrees with lower coefficients > The probability is no higher than 7% > Small bets, but a lot of them You don't need to come up with anything new—you can just copy his trades For copy trading, I use @arespro [Copy Trade] - ares.pro/wallets/0xd8f8…

@0xPhilanthrop Works… until it doesn’t. Market structure shifts faster than most bots adapt.

He built a trading bot that turned $2,440 into $377,000 on Polymarket This bot buys 5-min crypto markets with a median size of $8. It looks for arbitrage opportunities and does high-frequency scalping Its strategy: > Buys when there is a liquidity imbalance in the order book > Waits for the order book to rebalance > Keeps the stronger side or closes the entire position This bot’s profile: @vague-sourdough" target="_blank" rel="nofollow noopener">polymarket.com/@vague-sourdou… Copytrade → t.me/KreoPolyBot?st… Its average arbitrage edge is 3.4%. It repeats the same algorithm many times and multiplies its deposit

@0x_Punisher It’s less about insider knowledge and more about how the data is being tracked in real time. Most people are just a step behind how the forecast is actually evolving.

This guy is NOT a trader. He is a meteorologist. While everyone on Polymarket guesses weather like it’s a coinflip, he trades it like a data feed. Started with $94 and turned it into $16,000. Only 23 trades made him $60k profit in ONE WEEK. But here’s the real difference: He doesn’t predict weather, he just sees it earlier. Satellite data. Local stations. Micro-shifts before headlines. By the time the crowd reacts, he’s already positioned. His plays: > $594 → $16,500 > $3,760 → $8,000 > $18k → $64k Notice the pattern? Cause there's no such thing. He buys at completely different price levels. That’s not gambling. That’s extraction on what he knows. This is the real lesson: Edge ≠ strategy Edge = when you know something others don't His wallet: <@Handsanitizer23?via=punisher" target="_blank" rel="nofollow noopener">polymarket.com/@Handsanitizer…> In weather markets, speed > opinion. And every time a storm forms before the news cycle, someone like him gets paid first.

@0xSpivach Most people are looking at general forecasts. The edge shows up when you’re tracking the exact station, timing, and how the forecast evolves around it.

ColdMath: $5 → $79,497 on weather markets in 4 months 89.2% win rate. 3,983 trades. How? He reads the actual market rules. Market says "Will Dallas hit 96°F on March 21?" Retail checks Apple Weather for Dallas. ColdMath checks which sensor the market uses to resolve: DFW Airport station KDFW, reading at 3:00 PM sharp. Then runs ECMWF models for that exact location. examples: >> March 20 - Tokyo market: - Bought 25,407 shares I 0.1¢ - Market priced it at 10% odds - His models showed 94% for that specific sensor - Won $12,427: 48,910% >> March 11 - Chicago: - 24,880 shares I 0.1¢ - Crowd betting on city forecast - Won $12,374: 49,733% >> Tomorrow - Dallas 96-97°F: - Market: 4¢ - Models for KDFW sensor: <0.5% - His position: 366 NO @ 97.8¢ - Forecast shows 74°F Everyone bets on TV forecast. He bets on the thermometer that decides payout. What other markets have oracles nobody reads?

@0xSweep It’s not really “just betting on the weather"... it’s understanding where the market is misreading the forecast. Big difference.

This guy made $15,000 on Polymarket with a 100% win rate Simply by betting on the weather

@0xMovez The framework makes sense, but the hard part is knowing when those 1–10¢ prices are actually mispriced vs just low probability. That’s where most people get burned trying to copy this.

Honda midle IT engineer quite his job and turned $120 → $43K on Polymarket weather markets. his last trade turned $37 → $15K on the Hong Kong weather market on March 13. his strategy is simple but very effective: • scan new weather markets launch • find mispricings between {market} & {forecasts} prices • fill limit orders at {0.01¢ - 0.1¢} price range • exit at {0.7¢ - 0.9¢} range using this strategy he is making big ROI on weather markets daily his best traders: 37$ → 15,182$ 5$ → 1,220$ 6$ → 556$ this isn’t an algo - he executes all his trades manually, which is why it’s quite easy to copy-trade him. his profile: @HondaCivic?via=following" target="_blank" rel="nofollow noopener">polymarket.com/@HondaCivic?vi… start copy-trade him even with 10$ using Kreo: @copywallet" target="_blank" rel="nofollow noopener">kreo.app/@copywallet he made over +$30K in PnL across his two other accounts and keeps winning daily.

What makes Weather Edge Finder different: • Only tool with direct Kalshi trade execution — nobody else in the weather niche offers this • ASOS 5-minute data updates — most competitors rely on slower NWS/weather.gov updates • Smart position sizing — not just showing edge, but how much to actually bet • Performance analytics — win rate, ROI by edge bucket, city-level P&L • Clean, focused UX — built specifically for Kalshi weather markets

🚨New Feature! ASOS high of day reading vs. what the official CLI reports number.

Live trading session using our Weather Edge Finder tool + full review. Not just what was traded — but why, and what actually played out. 🔗 Link in comments

Last years MAE (Mean Average Error). Blend of ECMWF/GFS. Not NWS, but gives you an idea of the cities volatility by month.

@0xPhilanthrop The gap definitely exists. But it’s usually not as simple as one forecast vs price — it’s how the data is shifting in real time vs how the market is adjusting. That’s really what matters.

My friend said, “You’ll never make real money on Polymarket.” A month later I sent him a screenshot: $38,700 profit in 30 days. He asked how. I didn’t reply. Here it is—short: NOAA runs high-accuracy forecasts (~94% for 24–48h). Most traders just guess using basic weather apps. That gap = edge. Example: NYC forecast → 93% chance of 74°F Market price → 9¢ Bot buys at 9¢ → sells near 50¢ No prediction. Just mispricing. Copytrade → t.me/KreoPolyBot?st… The system: Scans cities every few minutes Buys only <15¢ Sells only >45¢ Max $2 per trade Started with $100. Runs nonstop. 30+ trades overnight. 3,100+ trades total. 79% win rate. $38,700 in 30 days. Still think you can’t make money on Polymarket?

@de1lymoon People hear “5x mispricing” and think it’s easy. The hard part is knowing when that agreement actually matters — and when it’s already priced in. That’s where most get it wrong.

A climate data analyst quit his job and turned $1,000 → $77,000 on Polymarket weather markets His thesis: "ML weather models see things physics-based models miss and the market hasn't caught up" He built a 5-model that spots mispriced temperature forecasts in the $0.01 - $0.10 range The edge is simple: Weather models update every 6 hours Polymarket crowds react hours later When 3+ models (GFS, ECMWF, ICON) agree on a temperature range priced at $0.15 that should be $0.70 that's a ~5x mispricing > Buy the forecast > Wait for resolution > Repeat If you want to copy trade him, you'll need -> app.fors.market - connect to website - select the section "Copy Trading" - select "Add Wallet to Copy" - add the trader's wallet "0x594edb9112f526fa6a80b8f858a6379c8a2c1c11"

@bonduelleioat This is the part most people overlook. It’s not really about calling one exact number — it’s about understanding the range and structuring around it. In weather markets, that usually comes down to how the forecast is distributed across brackets.

the guy worked as a night operator at a weather station in Incheon 12-hour shifts, $1,400/month. every morning at six he'd log the temperature by hand [account link @Maskache2?via=bondueiie" target="_blank" rel="nofollow noopener">polymarket.com/@Maskache2?via…] one day a coworker showed him Polymarket there was a market: "Will it be 7°C in Seoul on January 9?" the market priced it at 9%. he had just recorded a forecast of exactly 7 degrees model accuracy for next-day forecasts 95% he bought everything available at $0.09, next day collected $294 (+871%) a week later he quit now he trades 15+ cities simultaneously every morning at six he opens forecasts and buys positions while everyone's asleep his edge he doesn't bet on one degree, he buys all the adjacent ones forecast says 7°C he buys 6°C, 7°C, 8°C and "7°C or higher" hedges every degree, 80+ positions in Seoul alone at the same time biggest trades: / Tokyo 14°C → bought at $0.36 → collected $919 / NYC 34°F → bought at $0.12 → collected $175 (+732%) / Seoul 7°C → bought at $0.09 → collected $294 (+871%) he didn't get smarter than the weather he's just the only one reading it

@magsimich Everyone focuses on the big PnL. The real takeaway is the process — small edges, repeated over and over. That’s a lot harder to replicate than it looks.

ATTENTION: THIS TRADER, Poligarch, EARNED $73,296 betting on the weather on Polymarket He has 7,722 predictions, and his biggest win is 13.6K, which is impressive His strategy is simple He trades very frequently He captures small price fluctuations 1–5% He uses arbitrage YES + NO < $1 He often rejects overvalued bets His advantage lies in trading volume, not large trades His profile: @Poligarch" target="_blank" rel="nofollow noopener">polymarket.com/@Poligarch

@polymarketsuc @Polymarket @PolymarketTrade @poly_data @PolymarketMoney These are great when they play out, but the key is catching them before they’re obvious. In weather markets, that usually means tracking how the forecast is evolving vs how the market is pricing it. That’s really what we focus on surfacing clearly.

$5,460 ➜ $10,500 TURNS WEATHER POLYMARKET TRADER TODAY Fresh account, only 35 positions and his big play right now Will the highest temperature in Tel Aviv be 22°C on March 19? Bought: 10,500 Yes shares at 52c Invested: $5,460 Now at: 99.9c → position worth $10,490 Profit so far: +$5,029 Check his profile yourself ➜ @soyeon2235?via=traderplus" target="_blank" rel="nofollow noopener">polymarket.com/@soyeon2235?vi… Weather markets on Polymarket are printing money daily , exact city temps, small risk, huge upside when the forecast hits. Want to copy moves like this? Or trade manually in the fastest tg bot without any vpn? Follow top weather signals easily via Polygun Connect for FREE ➜ t.me/PolyGunSniperB… These markets are one of the cleanest ways to earn right now, low entry, real data, fast wins. Who’s watching Tel Aviv temps today?