Nowadays, financial applications spread over various devices in both E-commerce and M-commerce. One of the major tasks in this kind of application is viewing the historical price movement of a stock for the market players before making any decision. However, due to the divergence of the configurations among different devices and platforms, adaptation is necessary for time series data delivery and visualization. In this paper, an adaptive framework of financial time series delivery and visualization is proposed to achieve this goal. The core system adapts the concept of data point importance and data points reordering for time series representation. The application of the proposed framework on stock price time series delivery and visualization is demonstrated in different devices using web service.