In order to solve the problem that the viewpoints of investors are difficult to be quantified in Black-Litterman model, we propose a new model incorporated in multi-indicators sequencing based on the TOPSIS method. Firstly, quantitative viewpoint matrix is determined by using the multi-indicators sequence of assets, which is designed based on TOPSIS. Secondly, we apply the means of latest stochastic optimization to obtain the weights of portfolio. Finally, empirical research is studied by selecting several stocks in Shanghai Stock Exchange Market used for asset allocation. Empirical results reveal that as compared with other traditional portfolio methods, our new means can effectively include additional information except price, which leads to improvement of the robustness and application of the proposed model.