ventry089

Polymarket weather trading bot - Kelly + EV + paper trading + dashboard

19
5
100% credibility
Found May 08, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An open-source trading bot that uses public weather forecasts to identify and simulate (or optionally execute) bets on prediction market outcomes for daily high temperatures in various cities.

How It Works

1
🔍 Discover Weatherbot

You find this free tool on GitHub that uses real weather predictions to spot good bets on daily temperature outcomes.

2
📥 Bring it home

Download it to your computer and follow simple steps to get everything ready to run.

3
🧪 Check it works

Run quick built-in tests that confirm the whole system is healthy and ready.

4
💰 Start pretend trades

Fire up the simulator to practice buying and selling bets using fake money, just like real trading but risk-free.

5
📊 Watch your dashboard

Open a local webpage that shows your balance, open bets, wins, losses, and profits updating live.

6
Test for weeks
📈
Keep simulating

Stay in pretend mode forever or tweak settings for more practice.

🚀
Go real carefully

After proven wins, follow safety checklists to switch to tiny real bets.

🎉 Smart wins roll in

Celebrate as your weather smarts turn into steady pretend or real profits from underpriced bets.

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Star Growth

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AI-Generated Review

What is weatherbot?

This Python bot automates trades on Polymarket weather markets, using free forecasts from ECMWF, HRRR, and METAR to spot underpriced daily high-temperature buckets in cities from NYC to polymarket weather london. It pulls real-time prices via the polymarket github api (Gamma), simulates trades with Kelly sizing and EV filters by default, and includes a local Flask dashboard for PnL tracking. Paper trading runs out-of-the-box; live Polymarket CLOB integration requires deliberate setup for real USDC on Polygon.

Why is it gaining traction?

Unlike basic polymarket github bots, it handles airport-specific resolutions (e.g., KLGA for NYC), multi-source polymarket weather forecast blending, and adaptive sigma calibration from resolved markets, delivering consistent edges in sloppy retail-driven polymarket weather markets. CLI commands like `python bot_v2.py once` enable easy cron jobs, while risk controls—stop-loss, trailing stops, exposure caps—make paper results reliable before live. The 43 offline tests and detailed docs lower the barrier for forking into custom polymarket weather betting strategies.

Who should use this?

Quant devs building polymarket github python bots for prediction markets, especially those eyeing polymarket weather manipulation edges with systematic polymarket weather source data. Crypto traders on Polygon testing automated EV-positive plays in niche markets like polymarket weather forecast buckets. Hobbyists forking polymarket github clob clones for paper trading dashboards without wallet risk.

Verdict

Grab it for paper trading polymarket weather bot experiments—docs and tests punch above 19 stars—but the 1.0% credibility score flags early-stage risks; validate 50+ resolutions before live CLOB. Solid foundation for EV hunters, not plug-and-play alpha.

(198 words)

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