基于时间序列的热门股票分析与推荐系统的设计与实现

Design and Implementation of Popular Stock Analysis and Recommendation System Based on Time Series

针对初入股票交易市场、对股票了解甚少的股民,设计与实现了基于时间序列的热门股票分析与推荐系统。在股票交易市场中,大部分的数据都是晦涩且庞大的,所以在交易环节中获取到的数据与信息内容,应尽可能的简化复杂性,增强审视、增强理解。因此本文以实时股票数据接口为数据源,输入UI模板生成动态视图,对股票交易市场的实时数据进行了显示设计;采用时间序列的相关技术对股票走向的趋势进行预测,再结合Matplotlib对股票数据进行可视化处理,来解决数据图形化显示的问题;采用网络爬虫获取相关金融网的建议与评价,来展现给用户更加直观的分析内容。本文还对股票的相关知识进行了简单的介绍,同时也对股票数据分析与推荐的总体设计、关键技术进行了详细的阐述,并对下一步工作提出了展望。

Aiming at the investors who are new to the stock exchange market and who have little knowledge of the stock exchange market, this paper designs and implements popular stock analysis and recommendation system based on time series. Because in the stock exchange market, most of the data are obscure and huge, so the data and information content obtained in the trading link should be simplified as much as possible, enhanced examination and understanding. Therefore, this design takes the realtime stock data interface as the data source, inputs the UI template to generate the dynamic view, and displays the real-time data of the stock exchange market;uses the related technology of time series to predict the trend of the stock market, and then combines the MATLAB to visualize the stock data to solve the problem of data graphic display. At the same time, we use the web crawler to get the advice and evaluation of the related financial network, to show the user more intuitive analysis content. This paper also gives a brief introduction to the relevant knowledge of stock, and also gives a detailed description of the overall design of the stock data analysis and recommendation software, as well as the implementation of key technologies. Finally, this paper prospects for future work.