基于线性回归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 Linear Regression

作　　者：张晓涛 陈磊 ZHANG Xiaotao;CHEN Lei(PCI Technology Group Co.,Ltd.,Guangzhou 510000,China;Shanwei Public Security Bureau,Shanwei 516600,China)

机构地区：[1]佳都科技集团股份有限公司,广东广州510000 [2]汕尾市公安局,广东汕尾516600

出　　处：《现代信息科技》2022年第22期16-21,共6页Modern Information Technology

摘　　要：针对初入股票交易市场和对股票交易市场了解甚少的股民需求,设计与实现了基于线性回归的热门股票分析与推荐系统。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;采用了机器学习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。Aiming at the needs of the investors who are new to the stock exchange market and have little knowledge of the stock exchange market,this paper designs and implements popular stock analysis and recommendation system based on linear regression.This design takes the real-time 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 machine learning to predict the trend of the stock market,and then combines the Matplotlib 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.

关 键 词：股票分析 机器学习 数据可视化 Matplotlib 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]