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OpenPatchLab / polymarket-weather-trading-bot

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polymarket weather bot polymarket weather trading bot weather bot polymarket weather bot polymarket weather trading bot weather bot polymarket weather bot polymarket weather trading bot weather bot polymarket weather bot polymarket weather trading bot weather bot polymarket weather bot polymarket weather trading bot weather bot

bot polymarket trading weather
79
1,337
80% credibility
Found May 18, 2026 at 89 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A weather trading bot that automatically finds and trades mispriced temperature prediction markets on Polymarket. It pulls forecasts from multiple weather models for 20 cities worldwide, calculates whether a trade has good expected value, and manages positions with stop-losses and trailing stops. The bot can run in practice mode to learn without risking real money, or connect to your Polymarket account for live trading. All trades, forecasts, and outcomes are saved so the system can learn from past performance and improve its predictions over time.

How It Works

1
🔍 Discover the weather trading bot

You hear about a tool that automatically trades on Polymarket weather prediction markets, using real forecasts to find mispriced bets.

2
⚙️ Set up your trading assistant

You install the program, connect your Polymarket account, and choose between practice mode or real trading.

3
🌤️ Watch it scan weather forecasts

The bot pulls temperature predictions from weather models for 20 cities around the world, checking which markets look interesting.

4
📊 It finds a mispriced bet

When a weather forecast suggests a Polymarket question is priced wrong, the bot calculates whether the trade is worth taking.

5
Choose how to play
🤖
Automatic mode

The bot places trades using smart position sizing and built-in stop-losses to protect your money.

👀
Review mode

You see the forecast, the price, and the expected value, then decide whether to take the trade.

6
📱 Track your progress

Check your balance, open positions, and win/loss record anytime with a simple status command.

🎯 Markets resolve and you see results

When the weather event happens, the bot automatically settles your position and records whether you won or lost.

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Star Growth

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AI-Generated Review

What is polymarket-weather-trading-bot?

Polymarket-weather-trading-bot is a Node.js trading bot that hunts for mispriced weather prediction markets on Polymarket. It scans temperature forecasts across 20 global cities, identifies when market odds diverge from meteorological models, and automatically places trades using Kelly criterion sizing with stop-loss protection. The bot supports both paper trading (default) and live CLOB execution on Polygon, pulling real-time data from ECMWF, HRRR/GFS, and METAR airport stations.

Why is it gaining traction?

The bot stands out by resolving markets at actual airport stations rather than vague city coordinates—a critical detail that separates profitable weather trading from losses. Its self-calibration feature learns from past forecast errors per city and data source, continuously refining probability estimates. The combination of EV gating, fractional Kelly sizing, and trailing stops gives it a structured approach that most manual traders lack.

Who should use this?

Developers interested in prediction market automation and algorithmic trading strategies will find this valuable. If you want to run a weather-focused trading bot on Polymarket without building the infrastructure from scratch, this provides a working foundation. Researchers studying forecast accuracy across cities might also use the JSON ledger for analysis. This is not for casual Polymarket users—expect to handle your own wallet, API keys, and risk management.

Verdict

The credibility score of 0.8% and 79 stars signal a nascent project with minimal community vetting. The code is functional and well-documented for a bot of its complexity, but there's no visible test suite and the video proof links to a different repository. Start with paper trading only until you've audited the math yourself. If you want production-grade trading infrastructure, look elsewhere—this is a solid starting point for experimentation.

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