Doliver implements a quantitative investing strategy which uses statistical models, programming, active trading and short holding periods. Our trading process uses real time and historical data model inputs to project discount changes and then screens these by importance of our weighting parameters. A few of Doliver’s model components are annual return, annual risk, capital capacity, turnover and sharpe ratio. These components are used to determine the attractiveness of a fund for our client’s portfolios. We then rank the funds and execute trades through a proprietary trading platform.