I open-sourced a self-hosted quant trading workspace — now at 3.8K stars

I’m Henry, the founder of QuantDinger.

I built QuantDinger because I kept seeing the same problem in quant trading:

Trading ideas are easy.
Turning them into tested, executable, and continuously improvable strategies is hard.

Most tools solve only one step.

You may use one platform for charts, another for writing code, another for backtesting, another for exchange execution, and another for monitoring.

QuantDinger is our attempt to connect the full workflow:

Research → Strategy → Backtest → Optimize → Live Trading → Monitor

It is open source, Python-native, AI-assisted, and designed for traders and developers who want to build real trading systems instead of isolated scripts.

Some things we’re currently focused on:

• AI-assisted market analysis
• Python strategy development
• Indicator and signal visualization
• Backtesting and strategy review
• Multi-exchange trading workflow
• Mobile and web frontend
• Self-hosted deployment
• Extensible architecture for future AI agents

This is still an evolving open-source project, and we’d love feedback from traders, Python developers, AI builders, and anyone interested in quant trading infrastructure.

If you try it, please let us know:

What feels useful?
What feels confusing?
What should we build next?

Thanks for checking it out 🙏