摘要
目前广大投资者、股票交易员进行股票分析时更多依赖于互联网上的股票分析商用软件,定制化分析的功能较少,开源大数据及人工智能软件的发展使股票定制化分析成为可能。通过选取目前发展势头强劲的新能源汽车行业股票数据,利用Python进行股票大数据可视化分析,重点分析了特斯拉和比亚迪两支股票近5年的价格、成交量变化情况。研究成果有助于相关人员在投资过程中进行灵活的数据分析,为股票投资提供决策支持。
At present,the majority of investors and stock traders rely on stock analysis commercial software on the Internet for stock analysis,and there are fewer customized analysis functions.Therefore the development of open source big data and artificial intelligence software makes it possible to customize stock analysis.By selecting the stock data of the new energy automobile industry with current strong development momentum,using Python to carry out the visual analysis of stock big data,this paper focuses on the analysis of the price and trading volume changes of Tesla and BYD stocks in the past five years.The research results help relevant personnel to conduct flexible data analysis during the investment process and provide decision support for stock investment.
作者
李思佳
LI Si-jia(School of Artificial Intelligence,Beijing Information Technology College,Beijing 100018,China)
出处
《河北软件职业技术学院学报》
2021年第3期15-18,共4页
Journal of Hebei Software Institute
