thinkpixelIab

thinkpixelIab / polymarket-ai-trading

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Polymarket prediction markets AI trading paper trading OpenAI GPT CLOB Kelly mean reversion SQLite Node Express Docker Render Vercel dashboard algorithmic trading quant research forecasting crypto

github.comthinkpixelIabpolymarket-ai-trading ai-trading algorithmic-trading clob cryptocurrency dashboard
79
0
100% credibility
Found May 14, 2026 at 79 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

A web dashboard and simulated trading system for Polymarket prediction markets that tests mean-reversion strategies across conservative, moderate, and aggressive styles with optional AI analysis, all in paper-only mode.

How It Works

1
🔍 Discover Prediction Market Tools

You hear about this fun project that lets you explore betting on future events without using real money.

2
📱 Visit the Live Dashboard

Open the ready-made online dashboard to instantly see example trades, signals, and market insights updating in real time.

3
Choose Your Setup Path
🏠
Local Quick Start

Follow simple steps on your computer to get everything running at home.

☁️
Online Hosting

Use an easy web service to launch your copy that stays active 24/7.

4
🔑 Connect Smart Helper (Optional)

Link up an AI thinking service so it can score market quality and provide extra insights.

5
▶️ Start Your Simulation

Hit go, and watch three different trading styles—careful, balanced, and bold—scan markets and generate pretend trades.

6
📈 Monitor Live Results

Check the dashboard for signals, pretend profits, win rates, and comparisons between styles as they update automatically.

🎓 Master Market Insights

You now have a safe playground to learn prediction market patterns, test ideas, and see what works without any real risk.

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Star Growth

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AI-Generated Review

What is polymarket-ai-trading?

Polymarket-ai-trading runs paper-only simulations of AI trading bots on Polymarket prediction markets, spotting mean reversion opportunities in CLOB data with Kelly-style position sizing. It deploys three parallel models—conservative, moderate, aggressive—optionally enhanced by OpenAI for market quality scores and insights, all viewable on a live dashboard at polymarket-trading-dashboard.vercel.app. Node.js powers the Express backend with SQLite storage, deployable via Docker, Render, or Vercel for automated AI trading Polymarket experiments without real funds.

Why is it gaining traction?

This Polymarket AI trading bot stands out with a hosted dashboard comparing model P&L, win rates, and signals in real-time, plus AI agent trading tools like semantic search over resolved markets for prediction accuracy analysis. Easy Docker spins up the full stack locally, while Render keeps it 24/7 for ~$7/mo—perfect for quant research without wallet risks. Devs hook on the Polymarket GitHub API integration and tweakable YAML configs for custom mean reversion thresholds.

Who should use this?

Quant researchers testing Polymarket prediction accuracy with AI, crypto devs prototyping automated AI trading Polymarket bots via CLOB/websocket feeds, or traders backtesting Kelly strategies on favorites/longshots. Suited for those paper trading before live Polymarket GitHub clones or Rust/Python ports.

Verdict

Worth forking for Polymarket AI trading bot GitHub experiments—docs and demo shine, but 1.0% credibility and 79 stars signal early maturity with no live trading. Strong paper foundation; extend cautiously for production.

(198 words)

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