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GitHub - Drakkar-Software/OctoBot: Open source crypto trading bot
Open source crypto trading bot. Contribute to Drakkar-Software/OctoBot development by creating an account on GitHub.
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GitHub - Drakkar-Software/OctoBot: Open source crypto trading bot

GitHub - Drakkar-Software/OctoBot: Open source crypto trading bot

OctoBot 2.0.7

PyPI Downloads Dockerhub OctoBot-CI

Octobot Community

OctoBot Telegram Chat Discord Telegram News Twitter YouTube

What is Octobot ?

OctoBot - Open Source Crypto Trading Bot Video

Octobot is a powerful open-source cryptocurrency trading robot.

OctoBot is highly customizable using its configuration and tentacles system.
You can build your own bot using the infinite configuration possibilities such as technical analysis, social media processing or even external statistics management like google trends.

Octobot's main feature is evolution, you can :

OctoBot is AI ready: Python being the main language for OctoBot, it's easy to integrate machine-learning libraries such as Tensorflow or any other libraries and take advantage of all the available data and create a very powerful trading strategy.

Looking for more info ? Check out our Octobot guides at octobot.cloud/en/guides/octobot

Installation

One click deployment using DigitalOcean

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

Deploy on DO

Manual installations

To install OctoBot, you can either:

Exchanges

All OctoBot supported exchanges

Octobot supports many exchanges thanks to the ccxt library. To activate trading on an exchange, just configure OctoBot with your API keys as described on the exchange setup guides.

Paper trading

To trade on any exchange, just activate the exchange in your OctoBot. This enables you to trade with simulated money on this exchange.

No exchange credential is required.

Real trading

To use your real exchange account with OctoBot, enter your exchange API keys as described on the exchange guides.

Follow your investments

You can follow your OctoBots portfolio, orders, trades and historical performance from your phone with our Android application. You can also install the web application to have the same experience on any smartphone or computer.

Testing trading strategies

OctoBot comes with its built-in backtesting engine which enables you to trade with simulated money using historical exchange data.

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

Backtesting will give you accurate insights on the past performance and behavior of trading strategies.

Contribute from a browser IDE

Make changes and contribute to OctoBot in a single click with an already setup and ready to code developer environment using Gitpod !

Contribute from Gitpod

Hardware requirements

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

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.

License

GNU General Public License v3.0 or later.

See GPL-3.0 LICENSE to see the full text.

Institutionals

If you are an institutional interested by a white label solution, a commercial license, or custom development to suit your specific needs, have a look at our institutional offers.

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