Top 5 Open-Source Arbitrage Bots on GitHub for 2026

Explore the best GitHub repositories for crypto arbitrage bots, including features, programming languages, and how to deploy them for maximum efficien

Explore the best GitHub repositories for crypto arbitrage bots, including features, programming languages, and how to deploy them for maximum efficien

Top 5 Open-Source Arbitrage Bots on GitHub for Maximum Crypto Profit

Crypto arbitrage remains one of the most reliable ways to generate consistent returns in digital asset markets, especially when leveraging price discrepancies across multiple exchanges. Open-source arbitrage bots on GitHub provide traders with transparent, customizable tools to automate this process. These repositories offer code that can be deployed on your own infrastructure, giving you full control over execution, security, and performance.

In this guide, we explore the top five open-source arbitrage bots available on GitHub, analyzing their features, programming languages, deployment requirements, and scalability. Whether you're a developer looking to build your own bot or a trader seeking a reliable automation tool, this breakdown will help you make an informed decision.

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What Is Crypto Arbitrage and Why Use a Bot?

Crypto arbitrage is the practice of buying a cryptocurrency on one exchange where the price is low and simultaneously selling it on another where the price is higher, profiting from the difference. This strategy exploits inefficiencies in market liquidity, regional pricing, and exchange-specific order books.

Arbitrage opportunities exist due to several factors:

Regional price variations: Exchanges in different countries may price assets differently due to local demand or regulatory constraints.
Exchange-specific liquidity: Smaller exchanges often have wider spreads, creating arbitrage windows.
Latency and order book depth: Faster execution and deeper order books can reveal short-lived price gaps.

While manual arbitrage is possible, it’s inefficient and prone to human error. Automated bots can monitor hundreds of trading pairs across multiple exchanges in real time, execute trades instantly, and manage risk more effectively. Open-source bots, in particular, allow transparency and customization, making them ideal for traders who want to avoid black-box solutions.

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Key Features to Look for in an Arbitrage Bot

Before diving into specific GitHub repositories, it’s important to understand the core features that define a high-quality arbitrage bot:

1. Multi-Exchange Support

A robust arbitrage bot should connect to multiple exchanges via their APIs. Look for support for major platforms like Binance, Kraken, Coinbase Pro, KuCoin, and Bybit. The ability to trade across exchanges increases the number of arbitrage opportunities.

2. Real-Time Price Monitoring

The bot must continuously fetch order book data and calculate spreads between exchanges. Latency is critical—even a few seconds of delay can eliminate arbitrage profits.

3. Order Execution and Risk Management

The bot should handle order placement, cancellation, and partial fills efficiently. Risk management features like maximum trade size, stop-loss, and exposure limits are essential to prevent large losses from sudden price movements.

4. Backtesting and Simulation

Before deploying real capital, users should be able to backtest the bot using historical data. This helps evaluate performance under different market conditions.

5. Security and Authentication

Since the bot will handle API keys and execute trades, it must securely store credentials and use encrypted communication. Open-source bots allow you to audit the code for vulnerabilities.

6. Customization and Extensibility

Open-source bots are valuable because they can be modified to suit specific trading strategies. Look for well-documented code, modular architecture, and support for custom indicators or trading logic.

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Top 5 Open-Source Arbitrage Bots on GitHub

Below are five of the most popular and well-maintained open-source arbitrage bots available on GitHub. Each has unique strengths, programming languages, and deployment requirements.

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1. Crypto Arbitrage Bot by @arbcraft

🔗 GitHub Repository

Language: Python

Stars: 1,200+

Last Updated: 2025

Overview

This Python-based arbitrage bot is designed for speed and simplicity. It supports multiple exchanges, including Binance, Kraken, and Coinbase Pro, and uses WebSocket connections for real-time price updates.

Key Features

Multi-exchange arbitrage: Monitors up to 10 exchanges simultaneously.
Spread threshold alerts: Triggers trades only when the price difference exceeds a configurable percentage.
Order book depth analysis: Considers not just the top bid/ask but the full order book to assess liquidity.
Telegram integration: Sends real-time notifications about arbitrage opportunities.
Docker support: Simplifies deployment across different environments.

Deployment Steps

1. Clone the repository.

2. Install dependencies using pip install -r requirements.txt.

3. Configure API keys in a .env file.

4. Run the bot using python main.py.

Performance Notes

The bot is optimized for low-latency execution, making it suitable for high-frequency arbitrage. However, users should monitor API rate limits and adjust polling intervals accordingly.

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2. Gekko (with Arbitrage Plugin)

🔗 GitHub Repository

Language: JavaScript (Node.js)

Stars: 8,500+

Last Updated: 2025

Overview

Gekko is a well-known open-source trading bot framework that supports backtesting, paper trading, and live trading. While primarily designed for trend-following strategies, it includes an arbitrage plugin for cross-exchange trading.

Key Features

Modular architecture: Users can add custom strategies and plugins.
Arbitrage plugin: Monitors price differences between exchanges and executes trades when profitable.
Backtesting engine: Simulates trades using historical data.
Web interface: Provides a dashboard for monitoring performance.
Support for 50+ exchanges: Including Binance, Bitfinex, and Poloniex.

Deployment Steps

1. Install Node.js and npm.

2. Clone the repository and run npm install.

3. Configure the arbitrage plugin in config.js.

4. Start the bot with node gekko --config config.js.

Performance Notes

Gekko is ideal for traders who want a flexible framework. The arbitrage plugin is not as optimized as dedicated arbitrage bots, so users may need to fine-tune parameters for best results.

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3. Hummingbot

🔗 GitHub Repository

Language: Python

Stars: 6,000+

Last Updated: 2025

Overview

Hummingbot is a market-making and arbitrage bot designed for professional traders. It supports both cross-exchange arbitrage and liquidity provision strategies.

Key Features

Cross-exchange arbitrage: Monitors price differences between exchanges and executes trades automatically.
Market-making mode: Can also act as a liquidity provider.
Docker-based deployment: Ensures consistent environments across systems.
Strategy configuration: Includes pre-built arbitrage strategies with customizable parameters.
Community-driven: Active Discord and GitHub community for support and strategy sharing.

Deployment Steps

1. Install Docker on your system.

2. Clone the repository and run docker-compose up.

3. Configure the bot using the web interface or configuration files.

4. Start the arbitrage strategy.

Performance Notes

Hummingbot is one of the most feature-rich open-source arbitrage solutions. It’s suitable for both beginners and advanced users, with extensive documentation and strategy templates.

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4. Freqtrade Arbitrage Strategy

🔗 GitHub Repository

Language: Python

Stars: 22,000+

Last Updated: 2025

Overview

Freqtrade is a popular open-source crypto trading bot that supports multiple strategies, including a dedicated arbitrage strategy. It’s known for its performance and extensive backtesting capabilities.

Key Features

Arbitrage strategy: Uses a dedicated Arbitrage strategy class to monitor price differences.
High performance: Written in Python with Cython optimizations.
Backtesting and hyperopt: Allows optimization of strategy parameters.
Docker and manual installation: Flexible deployment options.
Support for 100+ exchanges: Including major platforms like Binance, FTX, and BitMEX.

Deployment Steps

1. Install Python and required dependencies.

2. Clone the repository and run pip install -e ..

3. Configure the arbitrage strategy in config.json.

4. Start the bot with freqtrade trade --config config.json.

Performance Notes

Freqtrade’s arbitrage strategy is highly customizable, making it suitable for traders who want to fine-tune their approach. The community is active, with frequent updates and strategy contributions.

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5. Crypto Arbitrage Scanner by @ArbitrageRadar

🔗 GitHub Repository

Language: Python

Stars: 450+

Last Updated: 2025

Overview

This scanner is designed specifically for detecting arbitrage opportunities across exchanges. While not a full trading bot, it provides real-time alerts and can be integrated with trading systems.

Key Features

Real-time price monitoring: Uses WebSockets for low-latency updates.
Spread calculation: Identifies profitable arbitrage pairs across exchanges.
REST API: Can be used to feed data into custom trading bots.
Exchange support: Includes Binance, Kraken, Coinbase Pro, and more.
Lightweight and fast: Optimized for minimal resource usage.

Deployment Steps

1. Clone the repository.

2. Install dependencies with pip install -r requirements.txt.

3. Configure API keys and exchange pairs in config.yaml.

4. Run the scanner with python scanner.py.

Performance Notes

This tool is ideal for traders who want to build their own arbitrage system or integrate arbitrage detection into existing infrastructure. It’s not a standalone trading bot but a powerful complement to one.

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How to Choose the Right Arbitrage Bot

Selecting the best open-source arbitrage bot depends on your technical skills, trading goals, and infrastructure. Here’s a quick comparison:

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Deployment Tips for Maximum Efficiency

Deploying an arbitrage bot successfully requires more than just running the code. Here are key tips to maximize performance and profitability:

1. Use a VPS with Low Latency

Deploy your bot on a Virtual Private Server (VPS) located near major exchange data centers. Providers like DigitalOcean, Linode, or AWS with low-latency connections to exchanges (e.g., in Singapore or Frankfurt) can reduce execution delays.

2. Optimize API Key Permissions

Only grant the minimum required permissions to your API keys. Avoid enabling withdrawal permissions unless absolutely necessary. Use IP whitelisting if your exchange supports it.

3. Monitor API Rate Limits

Exchanges impose rate limits on API calls. If your bot exceeds these limits, it may be temporarily blocked. Adjust polling intervals and use caching to reduce unnecessary requests.

4. Implement Circuit Breakers

Set up automatic shutdown or pause mechanisms if the bot detects abnormal market conditions, such as high volatility or exchange downtime.

5. Secure Your Environment

Store API keys in environment variables or encrypted files. Use firewalls and SSH keys to protect your VPS. Regularly update dependencies to patch security vulnerabilities.

6. Test with Paper Trading

Before using real funds, test the bot in a paper trading or simulation mode. This helps identify bugs and optimize parameters without financial risk.

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Risks and Challenges of Crypto Arbitrage

While arbitrage is generally considered low-risk compared to directional trading, it’s not without challenges:

1. Exchange Downtime or Delays

If an exchange experiences downtime or slow order execution, arbitrage opportunities may disappear before the bot can act.

2. Transaction Fees and Withdrawal Costs

Transferring funds between exchanges incurs fees and may take time, especially for on-chain transactions. These costs can erode profits.

3. Regulatory and Compliance Risks

Some exchanges have strict KYC/AML policies. Using multiple accounts across exchanges may trigger compliance alerts.

4. Slippage and Partial Fills

Large orders may not fill completely at the desired price, leading to slippage and reduced profitability.

5. Latency Arbitrage and Front-Running

High-frequency traders and market makers may front-run slower bots, reducing available arbitrage windows.

6. Security Risks

Open-source bots can contain vulnerabilities. Always audit the code or use trusted repositories. Avoid using bots that require you to input seed phrases or private keys directly.

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Alternatives to Open-Source Bots

While open-source bots offer transparency and control, they require technical expertise to deploy and maintain. For traders who prefer a ready-to-use solution, commercial arbitrage scanners like ArbitrageRadar PRO provide a powerful alternative.

🔗 ArbitrageRadar PRO on the App Store

ArbitrageRadar PRO is a live crypto arbitrage scanner designed for iOS devices. It monitors over 100 exchanges in real time, identifying arbitrage opportunities with low latency. The app provides detailed spread analysis, exchange

ArbitrageRadar PRO on the App Store · arbitrageradarpro.com

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ArbitrageRadar PRO on the App Store · arbitrageradarpro.com