Wethr.net
80 posts

Wethr.net
@Wethrnet
https://t.co/JJoSk9OrLp provides fast weather charts and analytics purpose built for climate prediction market traders.
เข้าร่วม Şubat 2025
50 กำลังติดตาม403 ผู้ติดตาม

@PolyDekos The value clearly is in where you can find the best data in those weather markets
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Polymarket Trader, which checks weather forecasts better than meteorologists
Most importantly, he doesn't risk thousands. Each bet ranges from $10 to $150:
• $12.59 -> $154.99 (+1130%)
• $17.16 -> $141.99 (+727%)
• $28.40 -> $178.82 (+529%)
The strategy is simple: buy "Yes" at realistic prices when the market undervalues them.
No insider tips. Just the weather and 1,322 trades in a row.
Save this and subscribe so you don't miss out on Polymarket Alpha

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@0xchoomba @Vvtentt101 It depends on the model and our ingestion method. We try to get the point of measurement as close to the weather station as possible.
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@Wethrnet @Vvtentt101 When matching NWP grid cells to station, do you use nearest neighbour or bilinear interpolation?
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The market is pricing 14°C in Seoul at just 12¢. AccuWeather says that's exactly where it lands tomorrow
Someone is wrong
Trade Volume: $103,000
Current odds:
> 13°C - 34%
> 12°C - 27%
> 11°C - 17%
> 14°C - 12%
Historical April highs in Seoul sit at 13-14°C. The market reflects this but stops short. 14°C should be trading at 30%+ if external forecasts were priced in. They aren't
My move: Long 14°C Yes (12¢). Asymmetric upside, model backed
This trade idea has an extremely high level of risk, so don't copy my moves

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𝗬𝗼𝘂 𝗸𝗻𝗼𝘄 𝘄𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗯𝗹𝗼𝘄𝘀 𝗺𝘆 𝗺𝗶𝗻𝗱 𝗮𝗯𝗼𝘂𝘁 𝘁𝗵𝗲𝘀𝗲 𝘄𝗲𝗮𝘁𝗵𝗲𝗿 𝗺𝗮𝗿𝗸𝗲𝘁𝘀?
Nature has already made its decision, yet @Polymarket is still out here debating like nothing happened.
𝗧𝗼𝗸𝘆𝗼 (April 9): Sitting at 96% for exactly 19°C.
𝗡𝗬𝗖: Stuck in this mindless 50-51°F coin flip.
𝗟𝗼𝗻𝗱𝗼𝗻: Can’t seem to choose between 20°C and 21°C.
These are some of the cleanest asymmetric bets on the platform right now. If your model is even a few hours ahead of the consensus, you’re just capturing the spread while everyone else is still guessing.
The sky doesn’t lie. The market just takes its sweet time to accept it.
𝗔𝗿𝗲 𝘆𝗼𝘂 𝗽𝗹𝗮𝘆𝗶𝗻𝗴 𝗮𝗻𝘆 𝘄𝗲𝗮𝘁𝗵𝗲𝗿 𝗺𝗮𝗿𝗸𝗲𝘁𝘀 𝗹𝗮𝘁𝗲𝗹𝘆?



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Stop DMing me for weather trading advice.
The secret is @Wethrnet.
The ROI on their PRO plan is insane for what they charge.
This isn't a sponsored post, I just want to give Hermie the credit he deserves for all his hard work.
Hope this helps everyone!
Wethr.net@Wethrnet
What if I told you that not all data is equal - and that the weather leaderboards are dominated by people who use Wethr.net. Faster data. Enterprise level tools. Constant updates.
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THIS TRADER IS ABSOLUTELY PRINTING ON POLYMARKET WEATHER MARKETS
-- Lost only $1 in 10 days, 359 trades, $20,200 profit 98.9% winrate.
His playbook is dead simple: he only jumps on the clearest setups, keeps risk tiny, and never breaks his own rules.
-- Low risk + Unbreakable discipline = Rock-solid consistency.
Want to mirror top traders like him but with a real edge?
Use @join" target="_blank" rel="nofollow noopener">kreo.app/@join.
Check the trader here: polymarket.com/profile/%40spe…
And copy trade him here:
t.me/KreoPolyBot?st…
Just add his wallet to bot [0x46745788e678a6f8ceebcd8bc7e37462b74703ca] and start earning.
Save this.
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How to build your own weather trading bot
Every weather trader making money on Polymarket follows the same 7 steps. Free data. Simple formula. Repeat daily
Traders making $20k-$180k all started here free APIs, basic math the crowd ignores, and patience
Here's the playbook:
Step 1: Pick 2-3 cities
Don't try to trade everything. Start with NYC, Chicago, and one international city. Learn how the forecast behaves for those exact locations. Fewer cities = faster feedback loop
Start copy-trading any trader even with $10 → @deilymoon" target="_blank" rel="nofollow noopener">kreo.app/@deilymoon
Step 2: Pull free forecast data
Open-Meteo API free, no API key, updates every 6 hours. NOAA official US government forecasts, 85-90% accurate at 1-2 days. Windy / Ventusky, visual model viewers to sanity-check your data
These are the same data sources the top weather traders use. All free. All public
Step 3: Turn forecasts into probabilities
The market shows 8-12 temperature buckets (25°C, 26°C, 27°C). Your job: calculate the real probability for each bucket based on the forecast
Simple method:
> take the forecast daily max
> assume ±1.5°C error range
> simulate 50,000 scenarios
> count how many land in each bucket
> that's your probability per bucket


Mr. Buzzoni@polydao
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One of the most powerful tools on Wethr.net just got even better. The Model Accuracy tool now also provides LOW temperature data.
We also added "Accuracy by Lead Time", which tells you how well each model performs X hours from the extreme high or low.
Try it out at wethr.net/accuracy


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Wow. @polymarket has been on a rampage with weather market additions - with 44 markets in total!
We've got you covered. Through the station changes and new additions - we are committed to keeping you in the game.
Today's addition - Panama City. 🔥
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Temperature Prediction Markets have grown from 7 locations a year ago to 60 locations.
@Kalshi has 20 locations
@Polymarket has 38 locations
@RobinhoodApp has 23 locations
@IBKR has 31 locations
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@PiratesPredict @atteonthephone @Wethrnet It's not finished yet :D it's only version 20 haha there is also a graph and bias, current weather... but I'm currently trying to figure out which models are good for Ankara 😆 Meteoblue AI is winning so far.

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