Looks like a pretty straightforward concept to use. I checked out your website and it says “Edgr’s algorithm identifies as being high conviction stocks”. What variables have you used to determine what a high convictions stock actually is? I’d love to learn more how the program works on the backend.
Congrats on the team for building this. It’s a great idea to make better investment decisions on accumulated data. Where are you planning on taking this product in the future?
