{"title":"预测比特币价格:利率、互联网搜索和能源价格的影响","authors":"J. T. Aparício, M. Romão, Carlos J. Costa","doi":"10.23919/cisti54924.2022.9820085","DOIUrl":null,"url":null,"abstract":"The current study's goal is to explain the price of bitcoins. We examined the effect of Web search statistics, energy prices, and alternative investment (or cost of opportunity) on bitcoin prices in particular. The second goal is to find the algorithm with the best predictive power. Data were obtained from public and open data. We use a variety of machine learning algorithms to accomplish this. Statistical results were coherent according to the expectation.","PeriodicalId":187896,"journal":{"name":"2022 17th Iberian Conference on Information Systems and Technologies (CISTI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Predicting Bitcoin prices : The effect of interest rate, search on the internet, and energy prices\",\"authors\":\"J. T. Aparício, M. Romão, Carlos J. Costa\",\"doi\":\"10.23919/cisti54924.2022.9820085\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The current study's goal is to explain the price of bitcoins. We examined the effect of Web search statistics, energy prices, and alternative investment (or cost of opportunity) on bitcoin prices in particular. The second goal is to find the algorithm with the best predictive power. Data were obtained from public and open data. We use a variety of machine learning algorithms to accomplish this. Statistical results were coherent according to the expectation.\",\"PeriodicalId\":187896,\"journal\":{\"name\":\"2022 17th Iberian Conference on Information Systems and Technologies (CISTI)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 17th Iberian Conference on Information Systems and Technologies (CISTI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/cisti54924.2022.9820085\",\"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 17th Iberian Conference on Information Systems and Technologies (CISTI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/cisti54924.2022.9820085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Predicting Bitcoin prices : The effect of interest rate, search on the internet, and energy prices
The current study's goal is to explain the price of bitcoins. We examined the effect of Web search statistics, energy prices, and alternative investment (or cost of opportunity) on bitcoin prices in particular. The second goal is to find the algorithm with the best predictive power. Data were obtained from public and open data. We use a variety of machine learning algorithms to accomplish this. Statistical results were coherent according to the expectation.
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