[Hellene]

Thanks for your interest! I’m happy to explain how it works: in the current MVP, users select stocks manually, and the system optimizes the portfolio dynamically based on the selected period. In the full product, users will choose an investment universe, and the system will automatically fetch assets and update the optimization in real-time.

The core quantum approach allows exploring many portfolio combinations simultaneously—as shown in the table of asset combinations in our platform—which makes the optimization faster and more reliable than classical methods.

I’m keeping the code private for now, as it’s part of the core product. For context, our startup is incorporated in Switzerland and fully compliant, so you can be assured this is a serious, trustable project. I’m happy to answer technical questions about the approach or share high-level algorithm insights.