💸 Simple Guide: Build a Crypto Arbitrage Bot with Python & AI (for Beginners)

A real working version one can build in a day – Once you have fundamentals then you can expand with AI agents like OpenAI.

🚨 Disclaimer

This guide is for educational purposes only. As you know crypto is risky – especially if you are new to it. Use test accounts, start with small funds, and always monitor your bots.

📌 What This Project Does (Simple Explanation)

This project is a small crypto trading bot that looks for price differences (called arbitrage) between different exchanges like Binance, Kraken, or OKX.

For example:

• Buy BTC at $30,000 on Binance
• Sell BTC at $30,200 on Kraken
• 👉 That's a $200 spread

The bot:

• Detects the spread every few seconds
• If it's large enough, it buys from the cheaper exchange and sells on the other — fast
• Later, you can improve it using AI to optimize thresholds and learn from past trades

🧱 Part 1 – The Fundamentals (Working Bot)

🔧 1. Tech Stack

🗂️ 2. Project Structure

🪜 3. Setup

.env file:

Note: Ensure that env. file is properly secured or if keys are hardcoded elsewhere, this could lead to credential leaks. AND never commit .env files to version control.

🧠 4. Basic Code

exchanges.py

scanner.py

⚙️ Part 2 – Improvements to Add Later

✅ Feature Ideas

• LLM agent (OpenAI): To review your trades and suggest better thresholds daily
• Use WebSocket tickers for faster updates
• Add order fail protection (hedging or retry logic)
• Add safeguards and stop-loss logic
• Run on VPS with Docker
• Add Grafana dashboard to monitor profit and errors

🤖 Bonus: Use an LLM Agent

Use agent.py to summarize your trades and tune your bot using OpenAI:

✅ How to Start

• Fill your .env file with testnet or sandbox keys
• Run scanner.py to see spreads
• Manually test executor.py with small trades
• Add LLM logic to learn from your logs