F001net

F001net / polymarket-trade-bot

Public

Polymarket arbitrage trading bot Polymarket arbitrage betting bot Polymarket arbitrage trading bot Polymarket arbitrage betting bot Polymarket arbitrage trading bot Polymarket arbitrage betting bot Polymarket arbitrage trading bot Polymarket arbitrage betting bot Polymarket arbitrage trading bot

arbitrage bot nodejs polymarket prediction-markets
67
342
69% credibility
Found Jun 02, 2026 at 67 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
TypeScript
AI Summary

An automated trading bot that scans Polymarket for mispriced temperature prediction markets, compares them against weather forecasts, and automatically buys when it finds a statistical edge—offering both simulated paper trading and real cryptocurrency trading modes.

How It Works

1
🔍 You discover the bot

You hear about a tool that automatically finds mispriced weather predictions on Polymarket and trades them for you.

2
⚙️ You set up the project

You install the software and configure your preferences like how much money to risk per trade and which cities to watch.

3
🧪 You try paper trading first

You run the bot in simulation mode where it pretends to trade with fake money so you can see how it performs without risking anything.

4
Ready to go live?
📊
Keep practicing

Stay in paper mode and refine your settings while watching the results

💰
Enable live trading

Connect your crypto wallet and let the bot trade real money automatically

5
🌡️ The bot hunts for opportunities

Every hour, it checks weather forecasts for 20 cities and compares them against what the market thinks will happen.

6
📈 It spots an edge and acts

When the bot finds a prediction where the forecast suggests better odds than the market price, it buys automatically using smart position sizing.

7
👀 It watches your positions

The bot monitors open trades and automatically sells if the price drops too far, rises enough for profit, or if weather forecasts change significantly.

🎉 You see your results

The bot tracks every trade and shows you a report of wins, losses, and total profit or loss over time.

Sign up to see the full architecture

6 more

Sign Up Free

Star Growth

See how this repo grew from 67 to 67 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is polymarket-trade-bot?

This is an automated arbitrage bot that hunts for mispriced temperature prediction markets on Polymarket. The bot pulls weather forecasts from multiple sources and compares them against the current market prices. When the forecast probability exceeds the market ask, it calculates expected value and enters a position using fractional Kelly sizing.

Built in TypeScript for Node.js, it supports 20 cities across US, Europe, Asia, and other regions. The bot runs in two modes: paper trading (using Gamma API prices) or live trading (via Polymarket's CLOB on Polygon). You control positions through a CLI with commands for scanning, checking status, and generating reports. Risk management includes EV gates, spread filters, stop-losses, and trailing breakeven exits.

Why is it gaining traction?

The concept is straightforward and testable before risking capital. Developers can run paper mode to see how the system performs with real market data. The calibration system learns from resolved trades to adjust probability estimates over time.

Weather-based prediction markets are a specific, well-defined niche where forecast data provides actual informational edge. The infrastructure is already there: multiple weather models (ECMWF, HRRR, METAR), Polygon integration, and persistent state management.

Who should use this?

Developers interested in automated trading strategies who want to study Polymarket's CLOB API without building from scratch. Researchers exploring weather prediction market efficiency. Traders with Polygon wallets who understand Kelly criterion and accept the risks of forecast-based signals.

Not suitable for casual users: requires Node.js 20.10+, API key configuration, and domain knowledge about prediction market mechanics.

Verdict

This is a working prototype with 67 stars and a 0.699% credibility score -- extremely early-stage. The documentation is solid, but test coverage is unclear and the codebase shows signs of rapid prototyping. Start exclusively in paper mode and spend weeks reviewing the calibration report before enabling live trading.

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.