I found 5 free Polymarket Weather Trading Bots on GitHub (from Beginner Friendly to Advanced Level).
Each of these bots comes with a detailed step by step setup and usage guide in English.
> Beginner level / 5 min setup:
1. GFS based weather trading bot. It uses 31 different forecast scenarios from the Global Forecast System for a specific city and day to estimate the most accurate temperature outcome.
Then it automatically compares this value with current Polymarket prices to find mispriced opportunities and execute trades.
It has a dashboard where you can see and track all signals, trades, forecasts, trading pnl and more.
GitHub: https://t.co/MivMwpDYcF
2. NWS forecast bot with Kelly strategy. This bot scans NWS and gets the freshest temperature value in selected city and then compares it with current price on Polymarket.
It uses Kelly strategy to calculate the best trade size based on how strong this edge is and can also automatically execute trades.
GitHub: https://t.co/OBdsje8MAm
> Advanced bot setup:
1. A weather bot that analyzes different sources in real time, like forecasts, airport data and aviation observations (METAR and SPECI) to get the latest and most accurate temperature data.
Then it generates a detailed weather report for a specific city and day.
GitHub: https://t.co/No3sBcqMg1
2. An autonomous weather trading bot powered by the Hermes Agent.
It gets temperature data from multiple sources and uses a Gaussian Bucket strategy:
For example, if the forecast is 72F, it estimates that the final temperature will be between 71F and 73F.
After that, it compares this range with current prices on Polymarket and sends you a trading signal in Telegram.
The main feature of this bot - it can track its own results, learn and improve its own strategy over time.
GitHub: https://t.co/thJFzc3T3v
> A full ML weather model:
1. This is a full machine learning weather model built by a Boston University computer science student.
It learns from past forecasting errors by comparing weather predictions with the temperature that actually happened.
For example, if NWS often predicted 70F in Chicago, but the actual high was usually around 68F, the model learns that this source in this city overestimates the highest temperature by 2F.
Over time, it learns patterns across different cities, seasons and weather conditions.
So when a new forecast comes in, the model does not trust it blindly. It adjusts the forecast based on historical errors and produces a more accurate temperature estimate.
GitHub: https://t.co/9DnTPu5iKE
All of these bots include a simulation mode, so you can test them on real markets and see what pnl they can get without risking real funds.
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Are you @Mert?
99% of you will lie and click "yes, that's me."
If you are in fact Mert please visit: https://t.co/fMcyeUyFXj
Invite codes to a few real ones who QT this.
X, do your thing.
> hindari VPN dibawah ini:
- vpn service yang dibawah payung perusahaan Israel, seperti ExpressVPN, CyberGhost, Private Internet Access, ZenMate, Hotspot Shield, Betternet, Touch VPN.
- Nordvpn, dan Surfshark dari satu payung nord sercurity, juga pernah kena server breach. massive data-marketing.
- Free VPN di app store. alasannya simpel, if the product is free, you are the product.
> Rekomendasi VPN service:
- Proton VPN dan Mullvad VPN
> Kalau kamu sedikit advanced, maka coba:
- Shadowsock atau VMess protocol
> Kalau kamu pengen lebih advanced, maka coba:
- Vless+Reality atau Hysteria2
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dari pengalaman saya yg sudah lama kesal dengan Great Firewall nya china .
Orang-orang asia tenggara bahkan negara lainnya non korea, dapat perlakuan buruk saat kerja jadi kasir di Seoul, bahkan turis asia tenggara kerap dibully di depan muka.
Biar mereka merenung, separah apa kelakuan mereka ke orang lain di dunia nyata.