HKUDS-AI

HKUDS-AI / polymarket-ai-trading

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Mean reversion and AI-assisted paper trading for Polymarket: Node.js API, OpenAI market insight, vector search, Kelly sizing, SQLite, Vercel dashboard. Research-focused; no live capital.

polymarket-trading-dashboard.vercel.app dashboard defi express fintech hkuds-ai
118
0
100% credibility
Found Apr 28, 2026 at 119 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

An open-source paper trading simulator for Polymarket prediction markets that runs conservative, moderate, and aggressive AI-driven mean reversion strategies with a real-time dashboard.

How It Works

1
🔍 Discover the AI Trading Helper

You find this smart tool that simulates trading on prediction markets like Polymarket without using real money.

2
📥 Bring It Home

You download the ready-to-use files to your computer.

3
🧠 Add Smart Thinking

You connect a helpful AI service so it can analyze markets and spot opportunities.

4
🚀 Start the Trading Team

You launch the three trading buddies—careful, balanced, and bold—with one easy go command.

5
📱 Open the Live Dashboard

You visit the web page to watch markets, signals, and performance updating in real time.

6
📈 Watch Paper Trades Happen

You see the simulators making pretend buys and sells, tracking wins and learning from results safely.

✅ Master Safe Trading

You review stats, test strategies, and gain insights into prediction markets without any risk.

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Star Growth

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AI-Generated Review

What is polymarket-ai-trading?

This Node.js project runs paper trading bots on Polymarket prediction markets, spotting mean reversion opportunities—like favorite-longshot biases—with AI-powered insights from OpenAI GPT-4o-mini. It deploys three parallel strategies (conservative, moderate, aggressive) using Kelly criterion sizing, stores history in SQLite, and serves a live Vercel dashboard for monitoring signals, P&L, and resolutions. Devs get a no-risk way to test mean reversion trading strategies on real market data.

Why is it gaining traction?

With 118 stars, it stands out via one-click Docker or Render deploys ($7/month for 24/7 uptime) and a responsive dashboard comparing model win rates side-by-side. The vector search for similar markets and AI quality scoring (liquidity, spreads) make it a lean github mean reversion strategy playground, beating barebones scripts by baking in semantic analysis and backtesting hooks. Polymarket AI agent trading feels polished without live capital risks.

Who should use this?

Quant devs researching mean reversion strategie on prediction markets, especially bitcoin index plays or deutsch mean reversion effekt tests. Polymarket traders validating AI-assisted signals before going live. HKUDS-AI hobbyists tweaking configs for claude ai trading polymarket experiments.

Verdict

Solid research starter for mean reversion trading—grab it if you're prototyping Polymarket bots, but 1.0% credibility and 118 stars signal early-stage maturity; docs shine, though backtesting is partial. Paper-only keeps it safe; fork and deploy today.

(198 words)

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