OctoBot is a free, open source cryptocurrency & blockchain project written in Python and released under GPL-3.0. It has 6,885 GitHub stars, 1,313 forks and 167 open issues, and was last pushed 53 minutes ago. On this registry it ranks #2 of 3 tracked projects in Cryptocurrency & Blockchain, with 5 head-to-head comparisons available. It gained 214 stars over the last 30 tracked days.

What is OctoBot?

What it is

OctoBot is a free, open-source cryptocurrency trading bot written in Python and released under the GPL-3.0 license. It lives in the cryptocurrency and blockchain ecosystem, and it is distributed as a Python package on PyPI as well as a Docker image published under drakkarsoftware/octobot. The project presents itself as a trading robot with a visual user interface, aimed at crypto investors who want to automate their investment strategies rather than place every order by hand. It is backed by a sizeable community, with roughly 6,576 stars and 1,273 forks on GitHub, and it is developed in the open by Drakkar-Software.

The concrete problem it solves is the gap between a trading idea and a running, exchange-connected automation. A user who wants to run a grid, a DCA plan, or a TradingView-driven strategy would otherwise have to write exchange integration code, order management, and monitoring from scratch. OctoBot supplies those pieces: exchange connectors, configurable built-in strategies, indicator evaluation, and a dashboard for managing wallets, automations, and multiple strategies. It also supports paper trading and backtesting, so a strategy can be exercised before real funds are committed.

Key capabilities

  • Configurable built-in strategies including grid trading, DCA strategies, and crypto baskets.
  • AI connectors that trade using any OpenAI or Ollama model, such as ChatGPT or llama, or a custom model running on an Ollama server.
  • TradingView connectors that automate trades from TradingView indicators or strategies.
  • Social indicators that analyze social data such as Google Trends and Reddit.
  • Technical analysis indicators including RSI, moving averages, and MACD.
  • Exchange integrations covering Binance, Hyperliquid, and more than 15 other exchanges.
  • A visual user interface plus a node mode that acts as the backend for the new interface and mobile app.

Who uses it and how

  • Retail crypto investors automating grid, DCA, or basket strategies on a supported exchange.
  • Traders who already maintain TradingView indicators or strategies and want those signals executed automatically.
  • Users experimenting with AI-driven trading through OpenAI or a self-hosted Ollama server.
  • Operators running a node that serves the unified dashboard and mobile app, managing wallets and multiple strategies in one place.
  • Users who start a manual OctoBot instance for backtesting, Telegram control, or classic TradingView workflows.

Getting started

Install from PyPI as the OctoBot package or run the Docker image drakkarsoftware/octobot; a hosted cloud option is offered at octobot.cloud.

When to use it — and when not to

Choose OctoBot when an open-source, self-hostable bot with a visual interface and broad exchange coverage fits the workflow. A self-hoster must operate the node that backs the interface and mobile app, and should expect to manage that service alongside exchange API credentials. The current beta is explicitly a work in progress, so bugs and incomplete features are possible, and the repository carries 167 open issues.

project readme (upstream, from github) — read inline

OctoBot - Free Open Source Crypto Trading Bot

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OctoBot is a free open-source crypto trading bot with a visual user interface. Explore guides, features, and cloud options on octobot.cloud.

The new OctoBot beta is live

The latest release runs in node mode by default. Your node acts as the backend for the new OctoBot interface and mobile app, where you manage wallets, automations, and multiple strategies from a unified and secure dashboard.

From the node interface, you can also start a manual OctoBot instance for backtesting, Telegram, TradingView, and other classic OctoBot workflows.

Read the full beta announcement to learn more about the largest OctoBot update ever.

Please note that the new OctoBot beta is a work in progress. You may hit bugs or incomplete features.

Open source crypto trading bot with a visual user interface

OctoBot is an open source cryptocurrency trading robot designed for crypto investors who want to automate their investment strategies. The bot can automate strategies using built-in:

OctoBot - Open Source Crypto Trading Bot Introduction Video from the official OctoBot YouTube Channel

The trading bot is written in Python and built as a free open source software since 2018. It can be installed on your system or executed on a cloud provider.

Control OctoBot from desktop, mobile, web, or Telegram

Are you looking for a bot you can set up from the peaceful environment of your home computer and that you can follow from anywhere using your phone?

OctoBot beta: node mode and the new interface

Install the latest release and run OctoBot on your computer or server. Connect to it from the new OctoBot interface in your browser, or from the mobile app.

From one node, run multiple automations (DCA, grids, crypto baskets, TradingView, and more) and monitor your full portfolio in one dashboard.

The new OctoBot's philosophy revolves around 3 pillars:

  1. Multi-portfolio analysis and automation
  2. Self custody: your keys never leave your devices
  3. Zero knowledge privacy: all your data is end-to-end encrypted, no one can read them except you
Web interface and Telegram

OctoBot is designed for crypto investors who want to automate their trading strategies in a simple way, using a graphic interface to:

  • Configure the details of their strategy and its traded markets and exchange(s)
  • Test and optimize the strategy using backtesting
  • Live test it with paper money
  • Execute it on a real exchange account, by automatically sending orders to the exchange

A manual OctoBot instance can still be configured and followed using its built-in web interface, making it reachable when running on a cloud server. OctoBot can also be connected to a Telegram bot, turning OctoBot into a Telegram trading bot.

You can also follow your trading bot from the OctoBot mobile app, which is designed to automate octobot.cloud strategies. The app can also be used to follow your open source OctoBot's profits, portfolio, open orders and trades.

The public (non-beta) OctoBot mobile app is designed for octobot.cloud strategies. To manage your open source OctoBot in beta, use the new OctoBot interface or mobile beta app instead.

    

Get it on the Apple Play Store Get it on Google Play

Live and backtesting trading strategies automation

OctoBot is more than just a strategy execution engine, it can also simulate investments using risk-free paper trading.

Even better, the trading robot comes with its built-in backtesting engine to help you test and optimize your strategy over a long period of time with a simulated portfolio and historical exchange data (only available in manual OctoBots).

Backtesting report using grid trading on eth btc with 8 percent profit

Backtesting your trading strategy and portfolio will give you accurate insights on the past performance and behavior of your trading strategy starting from its initial portfolio. This analysis tool gives you all the metrics to create the best version of your strategy before automating it with your real funds, on your exchange account.

Your trading bot for Binance, Coinbase, Hyperliquid and 15+ other exchanges

OctoBot supports the vast majority of crypto exchanges thanks to the great CCXT library.

list of octobot supported exchanges including binance coinbase hyperliquid mexc and more

This wide range of supported exchanges makes it easy to create investment strategies on any crypto, from Bitcoin, Ethereum or Solana to altcoins from the darkest depths of the altcoin forest.

Supported exchanges notably include:

  • Binance spot and futures trading using the REST and websocket APIs
  • Coinbase spot trading using the REST and websocket APIs
  • Bybit spot and futures trading using the REST and websocket APIs. Note: due to a recent update, the Bybit API will soon be available again on OctoBot
  • Hyperliquid spot trading (with API Keys) using the REST and websocket APIs
  • MEXC spot trading using the REST and websocket APIs
  • Kucoin spot and futures trading using the REST and websocket APIs
  • All HollaEx-Powered exchanges. Learn more on HollaEx, the open source white label exchange
  • Many other such as OKX, Binance US, Crypto.com, HTX, Bitget, BingX, CoinEx, BitMart, Phemex, Gate.io, Ascendex and more on the full list of supported exchanges.

Automate your trading strategies

OctoBot is designed as a one-stop-shop for crypto trading strategies. If you think of a crypto trading strategy, it can most likely be automated by OctoBot, unless it requires very complex custom mechanisms.

AI trading bot

OctoBot can be an AI trading bot using OpenAI models such as ChatGPT. The ChatGPT trading mode is the dedicated OctoBot configuration to give market context to a LLM model, ask for its opinion and trade accordingly.

Local LLM models, such as Ollama llama or any custom model running on your Ollama server can also be used by the bot for deeper customization and cost management.

Grid trading bot

Grid trading is a strategy that extracts value from volatility. Unlike most strategies, it relies on pure math and no statistics. It will "simply" create and maintain many buy and sell orders at regular intervals and generate profits every time both buy and sell orders are executed. The OctoBot grid trading bot can be heavily customized and optimized to be perfectly adapted to your market and exchange.

DCA trading bot

Dollar Cost Averaging (DCA) is a well known investment strategy where you buy on a regular basis in order to profit from local price drops. It allows investors to reduce their overall buying costs. As a DCA trading bot, OctoBot can optimize your investment strategies for short or long term gains with heavy customization and backtesting capabilities.

TradingView trading bot

Use OctoBot as your TradingView trading bot and simply emit alerts from your TradingView indicators or strategies. Use these alerts to trade any crypto market, on any exchange from your TradingView native strategy.
Whether it's from a visual TradingView indicator or a heavily optimized Pine Script strategy, your trades can be automated.

Crypto basket trading bot

Crypto baskets are similar to stock indexes or ETFs. They enable you to invest into many cryptocurrencies, all at once, in a simple way. A crypto basket is a simple way to invest in the whole crypto market at once, or follow coin categories, such as AI or RWA coins.
OctoBot can be used as a crypto basket trading bot and make it simple to invest in customized crypto indexes or follow baskets from the wide range of OctoBot cloud's crypto baskets.

Market Making trading bot

OctoBot can also automate market making strategies to help token creators provide liquidity to their markets.

octobot market making dashboard with buy and sell orders

Advanced market making strategies can be automated on market-making.octobot.cloud, the self-service market making platform based on OctoBot. Feel free to contact us if you have any questions about it.

Institutional custom strategies

If you represent an institution that is interested in a commercial license or custom development to suit your specific needs or strategy, please contact us at contact@drakkar.software.

Installing OctoBot, open source crypto trading bot

Starting the latest release runs OctoBot in node mode. See the getting-started guide to connect the new OctoBot interface to your node.

OctoBot can be deployed on the cloud or for free on your computer, server or Raspberry Pi.

Deploying OctoBot with one click on DigitalOcean

OctoBot can be easily launched in the cloud from the DigitalOcean Marketplace.

Deploy on DigitalOcean

Using the OctoBot Executable

This is the easiest way to download and install OctoBot on your computer or server. Here is our executable installation guide.
Note: The latest release executables for Windows, MacOS, Linux and Raspberry Pi are automatically built and pushed to the releases page.

Using the OctoBot Docker image

You can also install OctoBot using the OctoBot Docker image. Here is our using Docker installation guide.

Docker install in one-liner:

docker run -itd --name OctoBot -p 80:5001 -v $(pwd)/user:/octobot/user -v $(pwd)/tentacles:/octobot/tentacles -v $(pwd)/logs:/octobot/logs drakkarsoftware/octobot:stable

Installing OctoBot using Python

If you want to install OctoBot from Python, for example in order to edit the code or contribute, here is our Python installation guide.

You might also want to look at our contributing guide to quickly understand how OctoBot is architected.

Minimum hardware requirements

  • CPU : 1 Core / 1GHz
  • RAM : 250 MB
  • Disk : 1 GB

How to contribute to OctoBot

Would you like to add or improve something in OctoBot? We welcome your pull requests!
Please have a look at our contributing guide to read our guidelines.

Contribute to OctoBot from a local IDE

We recommend using a VSCode-based IDE to contribute to OctoBot, however PyCharm can also be used.
As the OctoBot code is split into different repositories, we created a developer installation guide to help you set up a VSCode or PyCharm environment.

Contribute to OctoBot from Ona (formerly Gitpod)

Make changes and contribute to OctoBot in a single click with an already set up and ready to code developer environment using Ona.

Contribute from Ona

Disclaimer

Do not risk money which you are afraid to lose. USE THE SOFTWARE AT YOUR OWN RISK. THE AUTHORS AND ALL AFFILIATES ASSUME NO RESPONSIBILITY FOR YOUR TRADING RESULTS.

Always start by running a trading bot in simulation mode and do not engage money before you understand how it works and what profit/loss you should expect.

Please feel free to read the source code and understand the mechanism of this bot.

Sponsors

Special thanks to Chatwoot for helping us assist the users of OctoBot.

Huge thank you to Scaleway for hosting OctoBot's cloud services.

A big thank you to Sentry for helping us identify and understand errors in OctoBot to make it better.

License

GNU General Public License v3.0 or later.

See GPL-3.0 LICENSE to see the full text.

Give a boost to OctoBot

Do you like what we are building with OctoBot? Consider giving us a star ⭐ to boost the project's visibility!

And join us on the OctoBot channels.

Telegram Chat Discord Telegram News Twitter YouTube

Frequently asked questions

Is OctoBot free to use?

OctoBot is open source under the GPL-3.0 licence. There is no licence fee and no seat count — you can self-host it or, where the project offers one, pay a vendor for a managed version instead.

What does OctoBot do?

Automate crypto trading with open-source strategies

What is OctoBot written in?

OctoBot is primarily written in Python. Its source is publicly available at https://github.com/drakkar-software/octobot, and it has 6,885 GitHub stars.