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hummingbot/condor
A Telegram bot and web dashboard for monitoring and trading with Hummingbot through the Hummingbot API.
- Stars
- 252
- Forks
- 119
- Open issues
- 77
- Last commit
- 11 hours ago
Repolode describes open-source projects and does not give investment advice. Trading and investing can lose money: assess the risk yourself and follow the laws where you live before using this project.
What is it?
Condor is a Telegram bot that lets you check a portfolio, watch running Hummingbot trading bots, and place orders on centralized exchanges or swap tokens and manage CLMM liquidity positions on DEXs through Gateway. It connects to a Hummingbot API server and can also run without Telegram in a local mode, where the dashboard is served on localhost.
Beyond trading commands, Condor includes a browser dashboard with a live trade panel, an AI assistant accessible via /agent that supports OpenAI, OpenRouter, or custom OpenAI-compatible endpoints, and Python routines that can be scheduled. Access is controlled by admin and user roles, and exchange credentials are managed per account through the bot.
Installation uses a shell script that can also deploy the Hummingbot API with Docker. The project recommends placing the API on a private Tailscale network rather than exposing its port publicly.
Key features
- 01Portfolio dashboard with PNL tracking across 24h, 7d and 30d periods
- 02Monitoring of active Hummingbot bots with status and metrics
- 03CEX order placement and position management via interactive menus
- 04DEX swaps and CLMM liquidity position management through Gateway
- 05Browser dashboard with a live trade panel for order books, swaps and LP positions
- 06AI assistant and domain agents with optional OpenAI, OpenRouter or custom LLM endpoints
Use cases
- Checking balances and bot performance from a phone via Telegram
- Placing and managing orders on Binance or Bybit without opening the exchange app
- Running a Hummingbot API server on a VPS and connecting to it privately through Tailscale
- Scheduling custom Python routines that interact with trading bots
Quick start
- 1
Install Docker Desktop (or Docker on Linux) and make sure it is running
- 2
Run the official install script from the README
- 3
Start Condor
make run - 4
Check that the install is working
make doctor
Things to know
- Runs on Mac or Linux; Windows users need WSL2 with Ubuntu.
- Needs Docker running for the Hummingbot API install.
- Local mode has no login, so anyone who can reach the dashboard port has full trading control.
- Production use is recommended with Tailscale and strong passwords, which adds setup effort.
In collections
Topics
FAQ
- What is condor?
- A Telegram bot and web dashboard for monitoring and trading with Hummingbot through the Hummingbot API. Condor is a Telegram bot that lets you check a portfolio, watch running Hummingbot trading bots, and place orders on centralized exchanges or swap tokens and manage CLMM liquidity positions on DEXs through Gateway. It connects to a Hummingbot API server and can also run without Telegram in a local mode, where the dashboard is served on localhost.
- Is condor free to use? What license does it have?
- condor is open source under the MIT license. Check the license terms before using it in commercial products.
- Is condor still maintained?
- Actively maintained. The last commit to condor was on Nov 6, 2026.
- What can I use condor for?
- Checking balances and bot performance from a phone via Telegram Placing and managing orders on Binance or Bybit without opening the exchange app Running a Hummingbot API server on a VPS and connecting to it privately through Tailscale Scheduling custom Python routines that interact with trading bots
- How do I install condor?
- Install Docker Desktop (or Docker on Linux) and make sure it is running Run the official install script from the README Start Condor: make run Check that the install is working: make doctor
- Where can I get condor?
- The source code and installation instructions are on GitHub: https://github.com/hummingbot/condor
Summary generated by AI from the project's README. GitHub stats refresh daily.
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