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

Önder Altan — Thu, 19 Jun 2025 11:13:19 +0000

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

DEV Community: Önder Altan

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