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OctoBot — automate grid, DCA, AI, and TradingView crypto strategies

OSS scale score 227.9OSS health 96Update pace 41 commits/30d
About these scores

OSS scale score is an unbounded metric that log-compresses and weights Stars, Watchers, Forks, and Contributors. Discovery score is the current OSS scale score minus the score at discovery. Update pace is commits in the last 30 days, growth momentum is the OSS scale score difference within the recent observation window, and OSS health is a 0–100 rating based on available recency, Community Health, and release data.

Stars
6,591
Primary language
Python
License
GPL-3.0
Repository last updated
Sep 19, 2026

Overview

OctoBot is a Python crypto trading bot that automates grid, DCA, crypto-basket, TradingView, and AI-assisted strategies, with backtesting, paper trading, and integrations for Binance, Coinbase, Hyperliquid, and 15+ exchanges.

Features and best fit

Based on official documentation; not hands-on tested · Content checked:

Automate grid, DCA, TradingView, AI, and other strategies

Built-in trading modes can be combined with TradingView alerts and OpenAI/Ollama-backed AI connectors.

Sources: [2][3]

Use backtesting and paper trading before risking live funds

Historical-data backtesting and simulated trading help evaluate strategy behavior before connecting real exchange accounts.

Sources: [2][3]

For experimenting with automated strategies across multiple crypto exchanges

It suits users who want automation and portfolio monitoring across Binance, Coinbase, Hyperliquid, and many other exchanges.

Sources: [2]

Design explicitly for live-money risk and beta behavior

Backtests do not guarantee future results. Restrict API keys, define loss limits and emergency-stop procedures, and treat the new node mode as beta.

Sources: [2][3]

Official sources

  1. [1]Drakkar-Software/OctoBot repository(2026-09-20)
  2. [2]OctoBot README(2026-09-20)
  3. [3]OctoBot documentation(2026-09-20)
  4. [4]OctoBot GPL-3.0 license(2026-09-20)
Supplemental curator note

OctoBot handles real-money trading, so being open source does not imply profitability or safety. Backtests and paper trading do not guarantee future performance. The new node mode is explicitly beta, so review API-key permissions, loss controls, and exchange-failure behavior before connecting live accounts.

Try it in 3 steps

  1. 1

    Get the source

    git clone --depth 1 https://github.com/Drakkar-Software/OctoBot.git
  2. 2

    Enter the repository

    cd OctoBot
  3. 3

    Check the official steps

    Continue with the commands in the README Installation, Quick Start, or Getting Started section.

    find . -maxdepth 1 -iname 'README*' -exec sed -n '1,220p' {} \; -quit
Check the official README

Growth

Growth trends · Last 30 days

6,591 Stars

Trend data is still being collected.

Development activity

Last 90 days · weekly

Commits (last 30 days)
41
Open PRs
13

Development activity is still being collected.

Built with

Categories and tags

Categories

Tags

GitHub data

GitHub dataView detailed GitHub data
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GitHub Topics

  • trading-bot
  • python
  • bitcoin
  • ai-trading
  • backtest
  • binance-api
  • coinbase-bot
  • cryptocurrencies
  • free
  • hyperliquid-trading-bot
  • paper-trading
  • solana
Stars
6,591
Forks
1,276
Watchers
115
Open issues
156
Contributors
20
Primary language
Python
License
GPL-3.0
Repository last updated
Sep 19, 2026
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