quantdinger is an open-source AI Trading OS that provides a self-hosted stack for Python strategy development, server-side backtesting, and paper/live execution across crypto exchanges and traditional brokers. It bundles multi-provider AI market research alongside strategy authoring and execution workflows so independent traders can operate without black-box signal services.
Project overview
It unifies Python strategy authoring, server-side backtesting, multi-provider AI market research, and both paper and live execution in a single self-hosted platform, directly addressing the gap between trading ideas and automated execution for independent traders.
Project type
MCP · AI Agent
Deployment
Refer to project documentation
License
Apache-2.0
Best for
Independent traders who want a self-hosted platform to turn trading ideas into backtested and executable Python strategies without black-box signal services.
Python strategy authors and small teams who need server-side backtesting, paper trading, and live execution across crypto exchanges and traditional brokers.
Key capabilities
Enables users to author trading strategies and indicators using Python.
Provides server-side workflows for executing backtests and experiments on trading strategies.
Supports paper trading and live execution across crypto exchanges and traditional brokers.
Provides AI-driven market research and analysis through multiple AI providers.
Limitations and risks
This project does not provide investment advice.
Agent trading is paper-only by default; live trading requires explicit authorization.
The system can submit real orders when live trading is enabled, which carries the risk of loss of capital. Users should verify configuration and authorization settings before enabling live execution.
Getting started
Run the install script via curl -fsSL https://raw.githubusercontent.com/OpenByteInc/QuantDinger/main/install.sh | bash to set up the platform. The documented difficulty for setup is medium.