OctoBot

OctoBot is a free open-source cryptocurrency trading bot designed for crypto investors who want to automate their investment strategies. Since 2018, the Python-based platform has provided a graphical interface for configuring, backtesting, and executing automated trading strategies on 15+ major exchanges without requiring programming knowledge.

Key Features

• Strategy automation: includes grid trading, Dollar Cost Averaging (DCA), AI-powered trading via OpenAI ChatGPT or local Ollama models, TradingView signal integration, crypto baskets (index-style investing), and market making
• Exchange support: connects to 15+ exchanges including Binance, Coinbase, Hyperliquid, Bybit, MEXC, KuCoin, OKX, Crypto.com, Gate.io, Bitget, BingX, CoinEx, BitMart, Phemex, and Ascendex through the CCXT library
• Backtesting engine: built-in historical backtesting with simulated portfolios to test and optimize strategies over long periods using real exchange data
• Paper trading: risk-free simulation mode to evaluate strategies with virtual funds before deploying real capital
• Multiple interfaces: web-based UI for desktop access, native mobile apps for iOS and Android, and Telegram bot for remote monitoring and trade notifications
• AI integration: supports OpenAI models and local LLMs via Ollama for market context analysis and trading signal generation
• TradingView integration: execute trades automatically from TradingView indicators and Pine Script strategies using webhook alerts

Supported Exchanges

OctoBot supports spot and futures trading on Binance, spot trading on Coinbase and Hyperliquid, and futures on Bybit using REST and WebSocket APIs. Additional supported exchanges include MEXC, KuCoin, OKX, Crypto.com, HTX, Bitget, BingX, CoinEx, BitMart, Phemex, Gate.io, and Ascendex. HollaEx-powered white-label exchanges are also compatible.

Deployment Options

OctoBot can run on personal computers, servers, or cloud infrastructure. Desktop executables are available for Windows, macOS, Linux, and Raspberry Pi. A Docker image provides one-line container deployment with persistent volumes for configuration, tentacles, and logs. Cloud deployment is available through the DigitalOcean Marketplace with one-click setup. Python developers can install from PyPI and Git for source-level customization. The minimum hardware requirements are 1 CPU core at 1 GHz, 250 MB of RAM, and 1 GB of disk space.

Use Cases

• Individual investors: automate grid and DCA strategies to capture value from market volatility without manual order management
• AI-assisted trading: leverage ChatGPT or local LLMs to analyze market conditions and generate informed trading signals
• TradingView users: connect existing Pine Script strategies or visual indicators to execute trades automatically on crypto exchanges
• Portfolio diversification: build crypto baskets to invest in multiple assets at once, similar to index fund investing, with customizable coin selections and rebalancing
• Market makers: automate liquidity provision through the dedicated OctoBot market-making module for token creators and projects