Drakkar-Software/OctoBot

Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.

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Summary Information

Updated 17 minutes ago
Added to GitGenius on September 10th, 2026
Created on February 23rd, 2018
Open Issues & Pull Requests: 167 (+0)
GitHub issues: Enabled
Number of forks: 1,271
Total Stargazers: 6,564 (+0)
Total Subscribers: 116 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 7.0 hours
Mean response time: 30.0 days
90th percentile: 42.2 days
Tracked items: 126

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 19% of tracked open issues have had no activity in three months. Only 4% of issues opened in the past year have been closed. Three people close 86% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 94
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 372 days
Stale 30+ days: 83
Stale 90+ days: 34

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (11)
  • question (10)
  • bug (9)
  • trading & exchanges (5)
  • docker (3)
  • feature request (3)
  • help wanted (3)
  • user issue (2)

Most active issues this week

Detailed Description

OctoBot is a free open source cryptocurrency trading bot that automates trading strategies across multiple exchanges through a simple interface.

The tool addresses the challenge of executing trading strategies consistently and at scale across different cryptocurrency exchanges. It supports multiple strategy types including AI-driven approaches, grid trading, dollar-cost averaging, and TradingView signal integration. Users can deploy these strategies on Binance, Hyperliquid, and over fifteen other exchanges. The bot includes paper trading capabilities for strategy validation before risking real capital, and backtesting functionality to evaluate historical performance. It also provides Telegram bot integration for notifications and monitoring.

OctoBot suits traders who want to automate their strategies without building custom infrastructure. It works well for those using TradingView for signal generation, those implementing systematic approaches like grid or DCA strategies, and traders managing positions across multiple exchanges. The project is particularly relevant for developers and traders comfortable with Python who want to avoid vendor lock-in through an open source solution. The simple interface means users without deep programming experience can configure and deploy strategies, though the codebase remains accessible for customization.

The project shows consistent development activity with regular updates addressing bug fixes and feature improvements. The maintainers actively respond to issues and pull requests, indicating ongoing engagement with the user community. Development focuses on expanding exchange support and improving strategy execution reliability rather than pursuing experimental directions. The tool maintains backward compatibility across releases, suggesting a commitment to stability for users running production trading systems.