Success of investment depends to many mathematical rates. Every investor knows that there is a tradeoff between risk and reward: to obtain greater expected returns on investments, one must be willing to take on greater risk. The tool was designed to estimate these indexes and others conditions of investment and to offer to users optimal portfolio of investment. The models and technologies for system of estimation of investment efficiency are analyzed. Problems and difficulties of investment optimization are described. Analyses of how various methods solve these problems, finding their advantages and disadvantages. This tool helps users and students of investment sciences to choose optimal portfolio of investment with desirable risk and maximum returns. The development documentation of the tool is presented. It shows all steps of the tool development including results. The experiments of implemented model are described, analyzing new model’s influence for requirements specification process.