This is a fully automated system that I personally developed, designed with advanced automation, smart alerts, and powerful trading features. You can receive C2 Closure alerts based on different conditions. For example, when price taps any type of FVG or specific swing points, you can get a confirmed C2 Closure alert from that zone. If you prefer, you can also enable alerts for every C2 Closure without any additional conditions. Along with this, the system includes many more advanced and fully customizable features that help improve your execution, precision, and automation.
Just search “Rashik Trades” on Google and you will easily find all our information, YouTube channel, and every official social media platform with full updates in one place.
We also provide a free guided masterclass on YouTube where you can learn all the features in detail and understand how the system works in real trading. For more details, visit our website: https://t.co/PPo05ZaZqg
Here are the 10 Best GitHub Weather Bots for Polymarket Right Now (Beginner to Advanced)
I went through dozens of repositories and filtered out the ones that are actually usable in 2026
From simple ready-to-run setups to serious multi-model ensembles with Kelly sizing and live execution - here’s what’s worth your time
> Beginner-friendly / quick start
1. MoonsatProtocol/Polymarket-Weather-Bot: TypeScript, Kelly Criterion sizing, scans NWS forecasts, finds mispriced temperature markets, simulation mode + JSON logs. Has a paid advanced version
Repo: https://t.co/L5F619OVow
2. MusicBoiyzzz/Polymarket-Weather-Bot: same Kelly + NWS stack, focus on easy setup, ships with a ready-to-run .zip
Repo: https://t.co/4cnd4PHjp0
3. hcharper/polyBot-Weather: designed for regular hardware (Mac Mini, home PC). Gaussian probability model on NOAA data for weather markets. Also covers crypto via Black-Scholes and binary arbitrage. Copy trading built in. Streamlit dashboard
Repo: https://t.co/l39O5HAywF
> Multi-model ensemble (serious edge)
1. alteregoeth-ai/weatherbot: pure Python, three forecast sources: ECMWF, HRRR for US cities, METAR observations. Scans temperature markets, enters when EV is positive. Kelly sizing + simulation mode
Repo: https://t.co/TrQXH4PAoh
2. AadiXD200/polymarket-weather-bot: autonomous quant bot, multi-model ensemble forecasting, Kelly sizing, live CLOB execution. One of the more complete implementations.
Repo: https://t.co/wpTk3oJrxi
3. yangyuan-zhen/PolyWeather: monitors 52 cities, uses DEB (Dynamic Error Balancing): blends multiple model forecasts weighted by recent accuracy per city. Generates calibrated probability buckets, scans for mispricing. Web dashboard + Telegram bot
Repo: https://t.co/DsXSIqyv6D
> GFS ensemble specialists
1. suislanchez/polymarket-kalshi-weather-bot: trades Polymarket and Kalshi simultaneously. Uses 31-member GFS ensemble from Open-Meteo, converts ensemble agreement into probability, enters when edge vs market price exceeds 8%. React dashboard, FastAPI backend, SQLite tracking.
Repo: https://t.co/6CbYk5bFxb
2. kylecwalden/polymarket-sniper-bot: sniper bot with a dedicated weather strategy using GFS 31-member ensemble. Also includes crypto strategies.
Repo: https://t.co/OkIc3paIRm
> Kalshi-focused (transferable logic)
1. AruneshDev/Automated-Trading-System-Kalshi-Weather-Model - ML-based system (XGBoost) built specifically for weather event contracts on Kalshi. The model architecture is directly transferable to Polymarket weather markets.
Repo: https://t.co/lqBOn2ladO
2. cpratim/Kalshi-Weather-Trading: simple weather trading bot for Kalshi, clean codebase, good reference for understanding the base execution layer
Repo: https://t.co/na1OqnhvoA
You don’t need to reinvent the wheel. These 10 repositories already solved 80% of the hard problems
Pick one that matches your skill level, study how they structure the code, and build on top of it
The traders making consistent money on weather markets right now aren’t the ones writing everything from scratch - they’re the ones who start with good foundations
The quant stack that took institutions years to build is sitting on github right now
5 repositories. free. open source. more useful than any course
1. freqtrade/freqtrade https://t.co/gFZYEDqqka
50k+ stars. crypto bot with a built-in ml module called freqai trains models on live data, reoptimizes automatically, supports 30+ exchanges. telegram integration out of the box. the community has been battle-testing this since 2018 and the issues tab alone is worth reading
2. hummingbot/hummingbot https://t.co/sn4s4DZgPb
19k stars. market making and cross-exchange arbitrage engine. manages bid/ask placement, spread adjustment, and inventory hedging across 50+ cex and dex simultaneously. used by actual liquidity providers in production. the architecture docs explain things no course will tell you
3. AI4Finance-Foundation/FinRL https://t.co/z40RfyYMh4
12k stars. reinforcement learning applied to trading. agents trained with PPO, DQN, DDPG on real market environments. the repo includes crypto data pipelines via binance api and ccxt. not a toy researchers publish papers using this codebase
4. nautechsystems/nautilus_trader https://t.co/q8LZ292tGn
9k stars. python on the surface, rust underneath. the backtesting engine is byte-for-byte identical to the live trading engine what you test is what you deploy. built for latency-sensitive strategies where milliseconds matter
5. ranaroussi/quantstats https://t.co/eVS1rNye1R
7k stars. performance analytics library. sharpe, sortino, calmar, max drawdown, monthly return heatmaps, monte carlo one function call generates a full tearsheet. the standard tool for evaluating whether a strategy is real or just lucky
you don't need a course to understand how systematic trading works
you need to read code written by people who actually do it
While people pay $497 for polymarket courses, others just read github
5 repos that replace any paid prediction market course
1. warproxxx/poly-maker https://t.co/6NDFWOYOtc
automated market maker for polymarket. places bids and asks simultaneously. the author wrote a real-world breakdown of running it live and warns upfront: not profitable today. use it as a reference, not a deploy-and-forget
2. Dhaiwat10/polymarket-ai https://t.co/sEn9Eas88V
multiple ai agents (openai + claude) compete against each other in real time. live dashboard with equity curves, trade history, and positions. one-command deploy via docker compose
3. Jon-Becker/prediction-market-analysis https://t.co/p3oZA3azBL > 3.4k stars
the largest public dataset for polymarket and kalshi 36gb of historical data. full order books, all trades, analysis tools. if you're building models, the data is already here
aulekator/Polymarket-BTC-15-Minute-Trading-Bot https://t.co/bdPRivnF1g
7-phase architecture for BTC 15-minute markets. redis, grafana, self-learning. the author wrote a full breakdown on medium — not just code, but the logic behind every signal
direkturcrypto/polymarket-terminal https://t.co/x2wPSINrsK
three modes in one: high-frequency market maker, copy trading, and orderbook sniper. runs from the command line. MIT license
all of this is open source. read the code, learn the patterns, stop paying for screenshots
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Bookmark all of them. Most people don't know half of these exist.
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Free disposable email for any signup you don't trust.
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Burner inbox that self-destructs in 10 minutes.
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A directory of direct links to delete your account from any major service.
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Check if your face was used to train AI image models without consent.
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Tells you if your VPN is actually hiding your real location or leaking it.
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Shows how trackable your browser fingerprint is, even in incognito mode.
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Tells you which programs on your PC are useless bloatware or spyware.
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Drop any file or link. It scans against 70+ antivirus engines instantly.
The internet is hostile by default. These websites are your free defense.