Stock Market Analysis using Time Series Data Analytics Techniques

K. Vengatesan, Abhishek Kumar, Ankit Kumar, K. Kharade, S. Kharade, R. K. Kamat
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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.
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股票市场分析使用时间序列数据分析技术
在印度经济中,股票市场和债券在预测任何特定公司的经济增长率或增长率方面发挥着重要作用。预测任何一只股票的价值都需要考虑很多参数。股票是公司所有权的凭证,描述了公司利润的权利。最后,我们将根据每个时期的增长率从公司获得股份或所有权。债券是一种投资,用户将根据利润从公司获得每月或每年的利息。股票和债券都将为客户提供有保证的回报。在本工作中,我们采用基于硬件的公司股票数据集。使用时间序列数据分析技术,我们将根据历史数据研究每只股票的价值,并根据股票的开盘价和收盘价等参数估计未来哪些公司可以拥有较高的范围。
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