I got tired of juggling multiple quant trading tools, so I started building an open-source workflow around it

For a long time my trading/research workflow felt unnecessarily fragmented.

Charts in one app.

Backtesting somewhere else.

Python strategies in another environment.

AI analysis completely disconnected from execution.

After dealing with that setup for a while, I started experimenting with an open-source workspace that tries to keep the workflow in one place instead of stitching together 5 different tools.

Current focus is mainly:

Python-based indicators and strategies

Chart signal visualization

Backtesting workflows

AI-assisted analysis

Moving toward alerts/live execution support

One thing I’ve realized while working on it is that open-source trading tools are hard to trust unless the architecture, docs, and transparency are solid.

That got me curious about how other people here evaluate OSS trading platforms.

For people who use or contribute to open-source finance/trading software:

What makes you trust a project?

What usually turns you away immediately?

How important are reproducible backtests and transparent execution logic?

What would you expect before trying something like this seriously?

Repository is here if anyone wants to review the structure or README:

github.com/brokermr810/QuantDinger

Would genuinely appreciate technical/product feedback more than promotion.