Our mission is to make available modern portfolio optimization algorithms as SaaS for SMEs and private investors.
Advanced financial portfolio optimization and risk solutions are available mostly only to large players such as Investment Banks and Hedge Funds. Meanwhile, the existing open-source tools are largely inflexible and outdated on-premises software. On the other hand, there is a surging demand for such solutions from SMEs and private investors along with trends of increasing financial education and accessible micro-investing via multiple trading platforms and investing/saving apps (Robinhood, Acorns, Stash, etc.).
The recent rapid development of Python modules and open data allows for easy implementation and deployment of most of the advanced methods required for efficient portfolio optimization modeling. Such models allow for significant risk reductions and/or an increase in returns for stock portfolios.