{"title":"Indian Stock Market Forecasting using Prophet Model","authors":"Anjana V Nair, Jayasree Narayanan","doi":"10.1109/CSI54720.2022.9924117","DOIUrl":null,"url":null,"abstract":"An inventory marketplace or a stock market is a platform for buying and selling a company's shares and derivatives at an agreed price. The goal of Stock Market Prediction is to forecast the fate fee of a company's economic shares. The latest development in market analysis technology is the use of machine earning to determine the values of current exchange indexes based on their prior values. The project entails determining the future prices of the stock markets by selecting the data from the available dataset and then determining the future pricing based on the user's desired duration of selection of months. It's built with the Prophet API and deployed with the Streamlit framework locally. Whose performance is then assessed using metrics such as Mean Squared Error and Root Mean Squared Error","PeriodicalId":221137,"journal":{"name":"2022 International Conference on Connected Systems & Intelligence (CSI)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Connected Systems & Intelligence (CSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSI54720.2022.9924117","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
An inventory marketplace or a stock market is a platform for buying and selling a company's shares and derivatives at an agreed price. The goal of Stock Market Prediction is to forecast the fate fee of a company's economic shares. The latest development in market analysis technology is the use of machine earning to determine the values of current exchange indexes based on their prior values. The project entails determining the future prices of the stock markets by selecting the data from the available dataset and then determining the future pricing based on the user's desired duration of selection of months. It's built with the Prophet API and deployed with the Streamlit framework locally. Whose performance is then assessed using metrics such as Mean Squared Error and Root Mean Squared Error