S. B, Tamil Iniyal T, Thasmiya J, Taariq Ziyaadh J, Sri Ranjani, Teju Thomas S
{"title":"Price Prediction of Bitcoin and Ethereum - A Machine Learning Approach","authors":"S. B, Tamil Iniyal T, Thasmiya J, Taariq Ziyaadh J, Sri Ranjani, Teju Thomas S","doi":"10.1109/ICECONF57129.2023.10084003","DOIUrl":null,"url":null,"abstract":"India is rapidly moving towards the digitization of money in all aspects. Cryptocurrency has grown widely in India and around the world among investors for financial activities like buying, selling, and trading. According to the report submitted in 2021 by the United Nations Conference on Trade and Development, 7.3% of Indians owned cryptocurrency in 2021. In the past two years, i.e., 2020 and 2021, the value of global currencies have been falling due to the poor run of stock markets. So the investors found it very hard to cope with the economical issues. This in turn has led to a renewal of interest in digital currency. Our main target is to implement the efficient machine learning and deep learning- based models specifically Convolutional Neural Network (CNN), long short term memory(LSTM) and Gated Recurrent Units (GRU) to handle the price volatility of bitcoin and ethereum and to produce high accuracy.","PeriodicalId":436733,"journal":{"name":"2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECONF57129.2023.10084003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
India is rapidly moving towards the digitization of money in all aspects. Cryptocurrency has grown widely in India and around the world among investors for financial activities like buying, selling, and trading. According to the report submitted in 2021 by the United Nations Conference on Trade and Development, 7.3% of Indians owned cryptocurrency in 2021. In the past two years, i.e., 2020 and 2021, the value of global currencies have been falling due to the poor run of stock markets. So the investors found it very hard to cope with the economical issues. This in turn has led to a renewal of interest in digital currency. Our main target is to implement the efficient machine learning and deep learning- based models specifically Convolutional Neural Network (CNN), long short term memory(LSTM) and Gated Recurrent Units (GRU) to handle the price volatility of bitcoin and ethereum and to produce high accuracy.