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97
380
89% credibility
Found May 14, 2026 at 122 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

An automated tool that scans weather forecasts for multiple cities and places bets on Polymarket temperature prediction markets when it detects pricing edges.

How It Works

1
🕵️ Discover WeatherBet

You stumble upon this handy helper that spots smart bets on daily weather temperatures in cities around the world.

2
💻 Set It Up

Download it to your computer and prepare a simple settings file with your pretend or real betting budget.

3
☁️ Connect Weather Info

Sign up for a free weather service so it can check real forecasts from experts for places like New York or London.

4
Pick Your Mode
🧪
Practice Mode

Test bets safely without risking a dime to see how it performs.

💳
Real Trades

Link your betting account to make live wagers when opportunities arise.

5
▶️ Launch the Helper

Start the program and it begins scanning weather markets every hour, hunting for good deals.

6
📱 Check Progress

Peek at status updates, open bets, and profit reports whenever you want.

💰 Enjoy the Wins

Watch as smart math-guided bets turn weather forecasts into steady gains over time.

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Star Growth

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AI-Generated Review

What is polymarket-weather-trading-engine?

This TypeScript/Node.js bot automates trading on Polymarket weather markets, scanning daily high-temperature buckets across 20 global cities like NYC, London, and Tokyo. It pulls forecasts from ECMWF, HRRR/GFS, and METAR sources via Polymarket GitHub API and compares them to crowd prices on Gamma, entering trades only on positive expected value with Kelly sizing, stop-losses, and slippage filters. Run it via CLI commands like `npm start -- run` for live scanning/monitoring, `status` for balances, or `report` for PnL breakdowns—paper trades by default, live via Polymarket GitHub CLOB client.

Why is it gaining traction?

With 97 stars, it hooks devs via a demo video showing real profits from polymarket weather betting edges, plus self-calibration on historical data for better sigma accuracy per city/source. Unlike basic Polymarket GitHub bots or Python/Rust clones, it handles full lifecycle—forecasting, trading, exiting, resolving—with JSON-ledger storage for backtesting polymarket weather markets. Risk controls like trailing stops and volume gates make it production-ready without constant babysitting.

Who should use this?

Quant traders or crypto degens targeting polymarket weather trading in cities like polymarket weather London. Node.js devs forking Polymarket GitHub CLOB bots or integrating Polymarket GitHub websocket/data flows. Hobbyists testing EV strategies on polymarket weather forecast discrepancies before scaling to redeem live positions.

Verdict

Grab this polymarket weather bot if you're in prediction markets—solid docs, easy .env setup, and live CLOB support make it a quick win despite 97 stars and 0.9% credibility score signaling early maturity. Paper trade first to validate; lacks tests but shines for rapid prototyping.

(198 words)

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