Abstract
While investing in stocks, the greatest concern for stock investors is how to choose stocks to better avoid risks and increase investment income. Aiming at obtaining useful information from historical stock data to help investors better select stocks and starting from the analysis of data structure related to stock price, the paper has introduced the time series analysis for the historical data of stock price, designed the stock recommendation method accordingly and put forward a stock recommendation model based on time series. Based on theoretical analysis, an integrated system of stock purchase, selection and recommendation was developed and implemented on Android platform, which could acquire and analyze historical data, and automatically select and recommend stocks for users according to specified indicators. The test results have shown that that system could run on mobile devices with Android system and provide convenience for users.
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