Hummingbot Dashboard is an open-source application designed to assist in the creation, backtesting, and optimization of a wide variety of algorithmic trading strategies. Once refined, these strategies can be deployed as Hummingbot instances in live trading modes, providing a seamless transition from strategy formulation to actual trading execution.
- Bot Orchestration: Deploy and manage multiple instances of Hummingbot
- Strategy Backtesting and Optimization: Evaluate the performance of your strategies against historical data and optimize them with Optuna
- One-Click Deployment: Seamlessly deploy your strategies as Hummingbot instances for paper or live trading.
- Performance Analysis Monitoring: Monitor and analyze the performance of your deployed strategies.
- Credential Management: Create and manage separate accounts for API keys
For detailed instructions and further information, visit our documentation page.
Currently, we recommend users to install Dashboard using the Deploy repo instead as this will automatically launch Dashboard along with the needed components in their own Docker containers.
If you are a developer, and want to make changes to the code then we recommend using the Source installation below - please note that you will also need to launch the Backend API and Broker separately (either through source install or through Docker).
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Install Dependencies:
- Docker Engine
- Miniconda or Anaconda
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Clone Repository and Navigate to Directory:
git clone https://github.com/hummingbot/dashboard.git cd dashboard -
Create Conda Environment and Install Dependencies:
make install
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Activate the Isolated 'conda' Environment:
conda activate dashboard
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Start the Dashboard:
make run
For more detailed instructions on how to install and update the dashboard, refer to INSTALLATION.md.
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We welcome contributions from the community. Please read our contributing guidelines to get started.
Join our Discord community to discuss strategies, ask questions, and collaborate with other Hummingbot Dashboard users:
Hummingbot Dashboard is licensed under the Apache License, Version 2.0. See LICENSE for more details.