{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T21:28:21Z","timestamp":1784842101661,"version":"3.55.0"},"reference-count":28,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3015966","type":"journal-article","created":{"date-parts":[[2020,8,12]],"date-time":"2020-08-12T20:42:42Z","timestamp":1597264962000},"page":"150199-150212","source":"Crossref","is-referenced-by-count":386,"title":["Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7154-9445","authenticated-orcid":false,"given":"Mojtaba","family":"Nabipour","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4842-1747","authenticated-orcid":false,"given":"Pooyan","family":"Nayyeri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hamed","family":"Jabani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6605-498X","authenticated-orcid":false,"given":"Shahab","family":"S.","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4842-0613","authenticated-orcid":false,"given":"Amir","family":"Mosavi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5539\/mas.v3n12p28"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.09.033"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2010.10.001"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2009.07.007"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.05.013"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.najef.2018.06.013"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.07.024"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106205"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1166\/jctn.2019.7895"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-017-2228-y"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.02.044"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.10.034"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.01.012"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2019.07.011"},{"key":"ref6","author":"lu","year":"2016","journal-title":"A Machine Learning Approach to Automated Trading"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cya.2017.06.014"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2004.03.016"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2006.04.007"},{"key":"ref2","author":"turner","year":"2007","journal-title":"A Beginner&#x2019;s Guide To Day Trading Online"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2012.03.028"},{"key":"ref1","author":"murphy","year":"1999","journal-title":"Technical Analysis of the Financial Markets A Comprehensive Guide to Trading Methods and Applications"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1089\/big.2018.0143","article-title":"Stock market prediction using optimized deep-convLSTM model","volume":"8","author":"a","year":"2020","journal-title":"Big Data"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/su10103765"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.07.019"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.10.027"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/e22080840"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.07.040"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.10.031"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09165760.pdf?arnumber=9165760","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:55:08Z","timestamp":1639770908000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9165760\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3015966","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}