In view of the problems of lag, one-sided and homogeneous financial information service in big data era, this paper designs and implements a financial information service platform based on big data analysis and complex event processing. The multi-source data acquisition, extraction and cleaning are implemented by multi-channel data acquisition and shallow semantic processing technology on the platform. And the data is analyzed by the financial network sentiment analysis technology. The platform provides timely, accurate, personalized financial information services for securities investors, investment adviser and institutions and achieves good application results.