{"title":"利用先知模型预测印度股市","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":"{\"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}","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
摘要
库存市场或股票市场是一个以约定价格买卖公司股票和衍生品的平台。股票市场预测的目标是预测公司经济股份的命运费。市场分析技术的最新发展是利用机器学习来确定当前交易指数的价值。该项目需要通过从可用数据集中选择数据来确定股票市场的未来价格,然后根据用户期望的选择月份的持续时间来确定未来的定价。它是使用Prophet API构建的,并在本地部署了Streamlit框架。然后使用均方误差(Mean Squared Error)和均方根误差(Root Mean Squared Error)等指标评估谁的绩效
Indian Stock Market Forecasting using Prophet Model
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