{"title":"Stock Trend Prediction Using News Headlines","authors":"K. S, Kaniskaa. S, K. S, R. Anuradha","doi":"10.1109/INDISCON53343.2021.9582219","DOIUrl":null,"url":null,"abstract":"A stock market is a gathering of stock buyers and sellers. It displays ownership claims on firms, such as securities traded on a public stock exchange and privately traded equities. These private company shares are then sold to investors via equity crowdfunding platforms. The future movement of the stocks can be predicted by analyzing the trend based on past and current data. Without delving extensively into the basic reasons of a particular currency, technical analysis makes it simple to grasp the market's sentiments (psychology) and predict prices. By analysing share market trends, we may try to predict if a market sector that is currently growing will continue to grow in the future, or whether a market trend in one sector will start a trend in another, and so on. A lot of data is involved in the process of share market trend analysis and most technical analysts use combinations of tools such as random forest, adaboost classifier, gradient boosting, neural network, xgboost etc. to recognize the trade's potential entry and exit points. Technical analysis is frequently utilised by forex, equities, and commodities traders to determine market patterns in the short and long term. The use of technical analysis in stock market prediction is growing by the day, as more people strive to gain technical analysis abilities in order to make big money.","PeriodicalId":167849,"journal":{"name":"2021 IEEE India Council International Subsections Conference (INDISCON)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE India Council International Subsections Conference (INDISCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDISCON53343.2021.9582219","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
A stock market is a gathering of stock buyers and sellers. It displays ownership claims on firms, such as securities traded on a public stock exchange and privately traded equities. These private company shares are then sold to investors via equity crowdfunding platforms. The future movement of the stocks can be predicted by analyzing the trend based on past and current data. Without delving extensively into the basic reasons of a particular currency, technical analysis makes it simple to grasp the market's sentiments (psychology) and predict prices. By analysing share market trends, we may try to predict if a market sector that is currently growing will continue to grow in the future, or whether a market trend in one sector will start a trend in another, and so on. A lot of data is involved in the process of share market trend analysis and most technical analysts use combinations of tools such as random forest, adaboost classifier, gradient boosting, neural network, xgboost etc. to recognize the trade's potential entry and exit points. Technical analysis is frequently utilised by forex, equities, and commodities traders to determine market patterns in the short and long term. The use of technical analysis in stock market prediction is growing by the day, as more people strive to gain technical analysis abilities in order to make big money.