At a Glance:
OctoBot is an open-source cryptocurrency trading bot that automates strategies through a visual interface, supporting grid, DCA, AI-based (OpenAI/Ollama), and TradingView-driven trading, with access to 15+ exchanges and built-in backtesting.
Overview:
OctoBot is an open-source cryptocurrency trading robot that provides a visual interface for investors to automate their trading strategies. It supports multiple strategy types, including grid trading, dollar cost averaging (DCA), crypto baskets, and market making, which can be configured and tested without coding. The bot integrates with major exchanges through the CCXT library and can execute trades based on technical indicators, social data, or AI models running on OpenAI or a local Ollama server. A built-in backtesting engine allows for strategy evaluation on historical data, and a paper trading mode is available for risk-free simulation. OctoBot can be installed on a local machine, a server, a Raspberry Pi, or deployed on a cloud provider, and can be monitored via its web interface, a Telegram bot, or the companion mobile app.
Key Decision Points:
User interface: Configured and managed entirely through a graphical interface, web UI, Telegram bot, and a mobile app, removing the need for command-line trading operations.
Strategy types: Supports a defined set of trading logic including grid, DCA, crypto baskets, market making, and signal-based execution from TradingView or AI models.
AI integration: Can connect to OpenAI models like ChatGPT or locally hosted models via Ollama for trade decisions, with the model receiving market context provided by the bot.
Deployment flexibility: Runs as an executable on Windows, macOS, Linux, or a Raspberry Pi; can also be deployed via Docker or launched on a cloud provider through the DigitalOcean Marketplace.
Testing capabilities: Includes both a paper trading mode for live simulation and a built-in backtesting engine using historical exchange data for strategy optimization.
Core Features:
Visual strategy configuration: A graphical interface for setting up and customizing trading strategies, markets, and exchange connections.
Multi-strategy automation: Built-in support for grid trading, DCA strategies, crypto baskets, market making, and signal-based trading from external sources.
Exchange connectivity: Integrates with 15+ exchanges, including Binance, Coinbase, Bybit, and Hyperliquid, using the CCXT library for both spot and futures trading.
AI trading mode: Uses OpenAI or Ollama models to receive market context and provide trade opinions that the bot executes.
Backtesting engine: Simulates strategy performance over historical periods with a virtual portfolio to provide performance metrics and optimization data.
TradingView alerts: Executes trades automatically from TradingView indicators or strategies by processing alert signals.
Use Cases:
Crypto investors who want to automate a grid or DCA strategy using a visual interface without writing scripts.
Traders who wish to evaluate and optimize a strategy's past performance using built-in backtesting and paper trading before committing real funds.
Users running local LLMs who want to connect an Ollama model to a trading bot for automated decision-making without using external AI APIs.
Individuals who need to monitor and control a trading bot remotely via a mobile app or Telegram while it runs on a home server or cloud instance.
Open-Source Alternative Value:
OctoBot's open-source codebase, available since 2018, allows users to review and understand the trading mechanisms directly. It can be self-installed on personal hardware (computers, servers, and Raspberry Pi) or a self-managed cloud instance, with no required reliance on a hosted SaaS platform for execution. The bot's AI capabilities can be pointed at a locally hosted Ollama server, enabling automated trading using private AI models without sending data to external providers. A modular Python foundation also provides a path for technical users to inspect or edit the code for custom requirements.