How to Build a Polymarket Bot
A developer's guide to building automated trading bots for Polymarket prediction markets.
Prerequisites
- Programming experience (Python or TypeScript recommended)
- A funded Polymarket account with API keys
- Basic understanding of REST APIs and WebSockets
- Familiarity with blockchain concepts (transactions, wallets)
Step 1: API Setup
Polymarket provides a CLOB (Central Limit Order Book) API. You'll need to:
- Generate API credentials from your Polymarket account
- Install the Python (
py-clob-client) or TypeScript CLOB client - Test connectivity by fetching market data
The API supports both REST endpoints (for placing/canceling orders, fetching positions) and WebSocket feeds (for real-time price updates and trade notifications).
Step 2: Market Data Ingestion
Your bot needs to consume and process market data efficiently. Key data sources:
- Market list — All available markets with metadata (question, category, resolution date)
- Order book — Current bids and asks for each market outcome
- Trade feed — Real-time stream of executed trades across all markets
- Wallet activity — On-chain transactions for specific wallets you want to track
Step 3: Trading Logic
This is where your strategy lives. For a simple copy trading bot:
- Maintain a list of target wallets to monitor
- Subscribe to their on-chain activity via WebSocket or polling
- When a target wallet buys, determine your position size based on configuration
- Check price hasn't moved more than your slippage threshold
- Place a market or limit order via the CLOB API
- Track the position and handle exits when the target exits
Step 4: Risk Management
This is the most important part. Without risk management, one bug can drain your account:
Essential Safety Features
- Max position size — Never deploy more than X% of your capital on a single trade
- Daily loss limit — If losses exceed a threshold, pause all trading
- Order validation — Double-check every order before submission (correct market, correct side, correct size)
- Duplicate prevention — Ensure the bot doesn't place the same trade twice due to a retry
- Error handling — Gracefully handle API errors, network failures, and timeouts without leaving orphaned positions
Step 5: Deployment
Run your bot on a cloud server for 24/7 uptime. Popular choices:
- Railway, Render, Fly.io — Easy deployment, good for Node.js/Python bots
- AWS/GCP — More control, better for high-frequency bots
- VPS (DigitalOcean, Hetzner) — Cheapest for long-running processes
Set up monitoring (error alerts, performance dashboards) and logging (trade history, profit tracking). Health checks ensure the bot restarts if it crashes.
Or Use an Existing Tool
Building from scratch takes weeks or months. If you want to skip the engineering and start copy trading immediately, existing tools handle all of this for you.
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