K. Vengatesan, Abhishek Kumar, Ankit Kumar, K. Kharade, S. Kharade, R. K. Kamat
{"title":"Stock Market Analysis using Time Series Data Analytics Techniques","authors":"K. Vengatesan, Abhishek Kumar, Ankit Kumar, K. Kharade, S. Kharade, R. K. Kamat","doi":"10.1109/CCGE50943.2021.9776372","DOIUrl":null,"url":null,"abstract":"In the Indian economy, the stock market and bonds play a significant role in predicting any specific company's economic rate or growth rate. There are a lot of parameters that need to be considered for predicting the value of any stock. Stocks are certificates of ownership of a company that describe the rights to the company's profits. Finally, we will get a share or ownership from the company based on the growth rate for every period. A bond is a type of investment from which a user will get monthly or yearly interest from the company based on the profit. Both share and bond will provide guaranteed returns to the customers. In this proposed work, we have taken hardware-based company stock data set. Using time-series data analytics techniques, we will study the value of every stock based on the historical data and estimate which company can have a high scope in the future based on the parameters like opening value and closing value of stock.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"313 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGE50943.2021.9776372","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the Indian economy, the stock market and bonds play a significant role in predicting any specific company's economic rate or growth rate. There are a lot of parameters that need to be considered for predicting the value of any stock. Stocks are certificates of ownership of a company that describe the rights to the company's profits. Finally, we will get a share or ownership from the company based on the growth rate for every period. A bond is a type of investment from which a user will get monthly or yearly interest from the company based on the profit. Both share and bond will provide guaranteed returns to the customers. In this proposed work, we have taken hardware-based company stock data set. Using time-series data analytics techniques, we will study the value of every stock based on the historical data and estimate which company can have a high scope in the future based on the parameters like opening value and closing value of stock.