by Golrypavium · Codex Skill · ★ 204
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OpenClaw Polymarket AI Trading Bot AI-powered prediction bot for Polymarket’s 5-minute Bitcoin Up/Down markets. Built with TypeScript, combines momentum, volatility, whale flow, and optional LLM scoring to predict direction and place real CLOB orders. OpenClaw Polymarket AI Trading Bot is a production-ready TypeScript bot that predicts whether Polymarket’s 5-minute BTC Up/Down markets will move up (YES) or down (NO) and executes real orders via the Polymarket CLOB API. Set your CLOB credentials in and run. ✨ Features 🤖 AI-enhanced predictions — Optional OpenAI (or compatible) LLM scoring for an extra bias signal on top of momentum and whale flow 🐋 Whale flow analysis — Tracks large traders (≥ $200 notional) and incorporates net YES/NO bias into the model ⚡ Real-time execution — Places FOK market orders when the signal crosses your edge threshold 📊 Signal Lab dashboard — Web UI to fetch predictions, run auto-compare (forecast vs outcome), and track accuracy over time ⏱️ Timed position close — Optional auto-sell after N seconds via 🔒 Startup validation — Validates wallet key, CLOB credentials, and API URLs before running 📋 What does this bot do? 📍 Picks a market Finds the...
| Stars | 204 |
| Forks | 1,501 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 65.021672365877/100 |
| Last Updated | 2026-07-01 |
| Created | 2026-05-20 |
| Platforms | node |
| Est. Tokens | ~15k |
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openclaw-polymarket-trading-bot is Openclaw Polymarket Trading AI Bot. It is categorized as a Codex Skill with 204 GitHub stars.
openclaw-polymarket-trading-bot is primarily written in TypeScript. It covers topics such as ai, openclaw, polymarket.
You can find installation instructions and usage details in the openclaw-polymarket-trading-bot GitHub repository at github.com/Golrypavium/openclaw-polymarket-trading-bot. The project has 204 stars and 1501 forks, indicating an active community.
The top alternatives to openclaw-polymarket-trading-bot on Agent Skills Hub include room, n8n-claw, kindly-web-search-mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.