Polymarket AI Trading Bot for Openclaw

A sophisticated AI-driven bot designed to monitor, analyze, and execute trades on Polymarket 5-minute price prediction markets.

hanguang254
v1.0.0
Mar 6, 2026
0
0
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install polymarket-trading-bot-skill

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install polymarket-trading-bot-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Polymarket AI Trading Bot?

The Polymarket AI Trading Bot is a high-performance tool built for the Openclaw Skills ecosystem, specifically targeting short-term BTC and ETH price prediction markets. It leverages a multi-layer extraction system to identify the Price to Beat (PTB) with high precision, using fallbacks ranging from direct APIs to Playwright-driven browser scraping. By integrating technical indicators such as RSI, momentum, and volume analysis, the bot provides developers with a robust framework for systematic trading.

This skill focuses on Expected Value (EV) driven decision-making, ensuring that actions are only recommended when the statistical advantage is clear. Its modular design allows users to separate market monitoring from execution, providing a safe environment to test strategies in dry-run mode before enabling live betting capabilities. As a part of the Openclaw Skills collection, it emphasizes transparency through detailed JSON logging and real-time confidence scoring.

Polymarket AI Trading Bot Use Cases

  • Automated monitoring of 5-minute BTC and ETH prediction markets on Polymarket.
  • Real-time calculation of Expected Value (EV) and confidence scores for market outcomes.
  • High-accuracy Price to Beat (PTB) extraction using multi-layer fallback mechanisms.
  • Strategy backtesting and performance auditing via structured decision logs.

How Polymarket AI Trading Bot Works

  1. The bot polls the Polymarket API every 2 seconds to identify newly created 5-minute price prediction markets.
  2. It immediately initiates a PTB pre-fetch sequence to secure the target price via Playwright or Binance APIs.
  3. Exactly 40 seconds before market closure, the AI analysis engine evaluates current price position, momentum, and RSI.
  4. The system calculates a weighted confidence score (0-100) based on market volatility and trend confirmation.
  5. If the confidence is at least 55% and the EV is positive, the bot generates a trade recommendation or executes a bet if enabled.

Polymarket AI Trading Bot Setup

Follow these steps to integrate this skill into your Openclaw Skills environment:

# Install the necessary Python dependencies
pip3 install playwright requests

# Install the Chromium browser engine for data extraction
playwright install chromium

# Run the main bot script in monitoring mode
python3 auto_bot_v2.py

To enable live trading, you must manually uncomment the execution line in auto_bot_v2.py.

Polymarket AI Trading Bot Data Schema & Taxonomy

The bot maintains a structured directory for logic and data storage to ensure compatibility with other Openclaw Skills.

Component Path Function
Main Script auto_bot_v2.py Orchestrates market polling and lifecycle management.
Decision Engine ai_analyze_v2.py Processes market data to generate trade signals.
Scoring Model ai_trader/ai_model_v2.py Contains the weighted logic for RSI, Momentum, and Volume.
Logs logs/decisions_v2.jsonl Stores every analysis result, PTB, and confidence level in JSONL format.

Polymarket AI Trading Bot Advanced Features

  • Multi-layer fallback for PTB extraction ensuring data reliability even during API outages.
  • ATR-normalized position analysis to adjust for current market volatility.
  • Comprehensive risk management filtering based on target odds and confidence thresholds.
  • Real-time monitoring mode that requires no private API keys for signal generation.
  • Detailed decision history exported to JSONL for integration with external analytics tools within the Openclaw Skills framework.

SKILL.md


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