Prediction markets are becoming one of the most exciting applications of AI and automation. Instead of manually scanning hundreds of markets, traders can now build bots that analyze opportunities, execute trades, and manage positions automatically.
In this guide, I'll show you how to get started building your own AI-powered Polymarket trading bot using Claude Code, the official Polymarket CLI, and an open-source trading bot repository that can help accelerate development.
Why AI Trading Bots Are Perfect for Prediction Markets
Prediction markets like Polymarket create thousands of opportunities across politics, crypto, sports, economics, and world events.
The challenge is that humans can't monitor every market 24/7.
AI agents can:
- Scan markets continuously
- Identify potential trading opportunities
- Execute trades automatically
- Follow predefined risk management rules
- Remove emotional decision-making
This makes prediction markets an ideal environment for automation.
Getting Started with Polymarket
Before building a bot, you'll need:
- A Polymarket account
- Funds deposited into your account
- A wallet connected to Polymarket
- Claude Code or another AI coding assistant
- The official Polymarket CLI
The Polymarket CLI allows AI agents and scripts to:
- Query active markets
- Retrieve market data
- Manage positions
- Execute trades directly from the terminal
This creates the foundation for fully automated trading systems.
Setting Up the Official Polymarket CLI
The first step is installing the Polymarket CLI.
For Mac and Linux users, Homebrew provides the easiest installation method.
Once installed, you can verify the setup by running:
polymarket
After that, import your wallet:
polymarket wallet import
Important: Never expose your private key to AI chats, screenshots, or public repositories. Only enter sensitive wallet information directly into your terminal.
Once connected, you can view balances, active trades, and market data directly from the command line.
Building a Basic AI Trading Strategy
One of the most powerful aspects of Claude Code is that you can describe strategies in plain English.
For example:
Create a bot that scans markets every 10 minutes and buys outcomes priced between 88¢ and 94¢ that close within 4 hours. Limit trades to six per day and no more than ten active positions.
Claude can generate the entire script, test it, fix errors, and provide a runnable version automatically.
This dramatically reduces the technical barrier to creating trading bots.
Open-Source Trading Bot You Can Study
If you want a more advanced starting point, I recommend checking out this GitHub repository:
Polymarket Trading BTC ETH M Bot
GitHub:
DextersSlab
/
Polymarket-Arbitrage-Trading-Bot
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Polymarket Arbitrage Trading Bot (BTC, ETH Momentum Arbitrage trading bot)
TypeScript bot for Polymarket CLOB V2 5-minute BTC and ETH Up/Down markets. It monitors Chainlink strike/spot vs order books, enters momentum-aligned positions late in each epoch, optionally completes the opposite leg for a boxed pair, and manages exits with configurable risk rules.
You can check this bot pnl with this account.
https://polymarket.com/@9g9g99
BTC-ETH-Momentum-Arbitrage-Bot-9g9g99.mp4
Built with @polymarket/clob-client-v2 and Node.js 20+. See V2_MIGRATION.md for Polymarket exchange upgrade notes.
Features
- Dual-market confirmation — BTC and ETH must align before entries (reduces false signals)
-
Chainlink Data Streams — strike at epoch open + live spot for
spot_minus_strike -
High-frequency monitor — REST CLOB
/bookpolling (~150ms), merged btc/eth wave logs - Six strategy phases — buy1, buy2, buy3, buy4, risk1, risk2, risk3
- Paper trading — simulated fills without live CLOB orders
- Optional redeem — gasless redeem via Polymarket builder relayer after epoch end
- Deposit wallet…
This project demonstrates how automated trading strategies can be applied to Polymarket markets focused on Bitcoin and Ethereum-related events.
Benefits of studying existing open-source bots:
- Learn trading bot architecture
- Understand market scanning logic
- Improve risk management systems
- Customize strategies for your own goals
- Save development time
Rather than starting from scratch, you can analyze the repository and build on proven concepts.
Risk Management Matters More Than Strategy
Many beginners focus only on finding winning trades.
Professional traders focus on:
Position Sizing
Never risk too much capital on a single market.
Trade Limits
Restrict the number of trades per day to avoid overtrading.
Active Position Limits
Cap total open positions to prevent excessive exposure.
Logging and Analytics
Track every trade so you can evaluate performance over time.
A mediocre strategy with strong risk management often outperforms a great strategy with poor discipline.
AI + Prediction Markets: A Growing Opportunity
We're still early in the evolution of AI-powered trading agents.
As large language models become better at:
- Information analysis
- News interpretation
- Data aggregation
- Event forecasting
we'll likely see increasingly sophisticated prediction-market trading systems emerge.
The combination of AI reasoning and prediction markets creates a fascinating environment for experimentation.
Video Tutorial
If you'd like to watch the complete walkthrough that inspired this guide, check out this YouTube video:
https://www.youtube.com/watch?v=SYU59fn2ltQ
The tutorial demonstrates how to install the Polymarket CLI, connect your wallet, and build a basic automated trading bot using Claude Code.
Follow My AI & Automation Content
I regularly share tutorials about:
- AI agents
- Automation workflows
- Trading bots
- Claude Code
- Open-source AI projects
- Business automation
Subscribe to my YouTube channel:
https://www.youtube.com/@ItsRagnar
Final Thoughts
Building AI-powered trading bots for prediction markets is no longer reserved for professional developers.
With tools like Claude Code, the official Polymarket CLI, and open-source projects such as the BTC/ETH Polymarket Trading Bot, anyone can start experimenting with automated trading strategies.
Start simple, prioritize risk management, and gradually improve your system as you learn more about prediction markets and AI automation.
The future of trading is increasingly automated—and prediction markets are one of the most exciting places to explore that future today.
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