Could you share the code? How to distinguish between quantum vs classic portfolio optimization algo? What is the point if I have to enter the stocks and they won't change during the period

Thanks for your great question! . In the current MVP, users select the stocks manually, but the optimization does update dynamically if you change the analysis period — so the portfolio adapts to the data for the selected range. In the full product, users will simply choose an investment universe, and the system will automatically fetch relevant assets and update the optimization in real time or historical time based on user input. The quantum approach allows us to explore many combinations simultaneously, which makes the optimization faster and more reliable than traditional methods.

Sorry I cannot share code publicly.

Sorry I could not share the code public ally :).