{"id":"https://openalex.org/W4406859359","doi":"https://doi.org/10.1109/ipccc59868.2024.10850357","title":"Cryptocurrency Price Forecasting Using XGBoost Regressor and Technical Indicators","display_name":"Cryptocurrency Price Forecasting Using XGBoost Regressor and Technical Indicators","publication_year":2024,"publication_date":"2024-11-22","ids":{"openalex":"https://openalex.org/W4406859359","doi":"https://doi.org/10.1109/ipccc59868.2024.10850357"},"language":"en","primary_location":{"id":"doi:10.1109/ipccc59868.2024.10850357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc59868.2024.10850357","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Performance, Computing, and Communications Conference (IPCCC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083262615","display_name":"Abdelatif Hafid","orcid":"https://orcid.org/0000-0002-1377-1387"},"institutions":[{"id":"https://openalex.org/I4210132968","display_name":"Agence pour le D\u00e9veloppement et la R\u00e9habilitation de la Ville de F\u00e8s","ror":"https://ror.org/043jwkg64","country_code":"MA","type":"government","lineage":["https://openalex.org/I4210132968"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Abdelatif Hafid","raw_affiliation_strings":["ESISA,Fez,Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ESISA,Fez,Morocco","institution_ids":["https://openalex.org/I4210132968"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015879171","display_name":"Maad Ebrahim","orcid":"https://orcid.org/0000-0002-7121-0035"},"institutions":[{"id":"https://openalex.org/I4210094041","display_name":"Ericsson (Canada)","ror":"https://ror.org/00nas2c56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210094041"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Maad Ebrahim","raw_affiliation_strings":["GAIA, Ericsson,Montreal,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GAIA, Ericsson,Montreal,Canada","institution_ids":["https://openalex.org/I4210094041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017529726","display_name":"Mohamed Rahouti","orcid":"https://orcid.org/0000-0001-9701-5505"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Rahouti","raw_affiliation_strings":["Fordham University,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fordham University,NY,USA","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039543497","display_name":"Diogo L\u00f6sch de Oliveira","orcid":"https://orcid.org/0000-0002-9028-6959"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Diogo Oliveira","raw_affiliation_strings":["Pen State University,Monaca,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pen State University,Monaca,USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083262615"],"corresponding_institution_ids":["https://openalex.org/I4210132968"],"apc_list":null,"apc_paid":null,"fwci":4.217,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.94504535,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.7425000071525574,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.7425000071525574,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.7145000100135803,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.6722999811172485,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cryptocurrency","display_name":"Cryptocurrency","score":0.8430015444755554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5572599768638611},{"id":"https://openalex.org/keywords/economic-forecasting","display_name":"Economic forecasting","score":0.47395965456962585},{"id":"https://openalex.org/keywords/economic-indicator","display_name":"Economic indicator","score":0.42411568760871887},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.40926462411880493},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2267177700996399},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.19427764415740967},{"id":"https://openalex.org/keywords/macroeconomics","display_name":"Macroeconomics","score":0.09653311967849731}],"concepts":[{"id":"https://openalex.org/C180706569","wikidata":"https://www.wikidata.org/wiki/Q13479982","display_name":"Cryptocurrency","level":2,"score":0.8430015444755554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5572599768638611},{"id":"https://openalex.org/C163068380","wikidata":"https://www.wikidata.org/wiki/Q3409313","display_name":"Economic forecasting","level":2,"score":0.47395965456962585},{"id":"https://openalex.org/C202353208","wikidata":"https://www.wikidata.org/wiki/Q1167393","display_name":"Economic indicator","level":2,"score":0.42411568760871887},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.40926462411880493},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2267177700996399},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.19427764415740967},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.09653311967849731}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipccc59868.2024.10850357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc59868.2024.10850357","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Performance, Computing, and Communications Conference (IPCCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2295598076","https://openalex.org/W2572554044","https://openalex.org/W2586112617","https://openalex.org/W2775379762","https://openalex.org/W2810209452","https://openalex.org/W2967732991","https://openalex.org/W2974558844","https://openalex.org/W2997777902","https://openalex.org/W3005596121","https://openalex.org/W3015481177","https://openalex.org/W3083125023","https://openalex.org/W3113289527","https://openalex.org/W3124647634","https://openalex.org/W3125919321","https://openalex.org/W3138861928","https://openalex.org/W3160222876","https://openalex.org/W3170039229","https://openalex.org/W4200453867","https://openalex.org/W4244700310","https://openalex.org/W4250926398","https://openalex.org/W4293723946","https://openalex.org/W4306392821","https://openalex.org/W4308624673","https://openalex.org/W4311436849","https://openalex.org/W4319160636","https://openalex.org/W4321377565","https://openalex.org/W4385060446","https://openalex.org/W6793285265","https://openalex.org/W6860127287","https://openalex.org/W6860543922"],"related_works":["https://openalex.org/W1483903195","https://openalex.org/W1601088236","https://openalex.org/W135400644","https://openalex.org/W3191604864","https://openalex.org/W3015542459","https://openalex.org/W1989214391","https://openalex.org/W3184790799","https://openalex.org/W3189758089","https://openalex.org/W1787607851","https://openalex.org/W3159416586"],"abstract_inverted_index":{"The":[0],"rapid":[1],"growth":[2],"of":[3,29],"the":[4,25,34,74],"stock":[5,19],"market":[6,94],"has":[7],"attracted":[8],"many":[9],"investors":[10,91],"due":[11,23],"to":[12,24,44,86],"its":[13,84],"profit":[14],"potential.":[15],"However,":[16],"accurately":[17],"predicting":[18],"prices":[20,47],"is":[21],"challenging":[22],"complexity":[26],"and":[27,56,90],"volatility":[28],"financial":[30],"markets,":[31],"especially":[32],"in":[33,92],"cryptocurrency":[35,46,88],"sector.":[36],"This":[37],"study":[38],"presents":[39],"a":[40],"machine":[41],"learning":[42],"approach":[43],"predict":[45],"using":[48],"technical":[49],"indicators":[50],"like":[51],"Exponential":[52],"Moving":[53,57],"Average":[54,58],"(EMA)":[55],"Convergence":[59],"Divergence":[60],"(MACD)":[61],"with":[62],"an":[63],"XGBoost":[64],"regressor":[65],"model.":[66],"Focusing":[67],"on":[68],"Bitcoin\u2019s":[69],"closing":[70],"prices,":[71],"we":[72],"evaluate":[73],"model\u2019s":[75],"performance":[76],"through":[77],"simulations,":[78],"demonstrating":[79],"promising":[80],"results":[81],"that":[82],"suggest":[83],"potential":[85],"assist":[87],"traders":[89],"dynamic":[93],"conditions.":[95]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2025-10-10T00:00:00"}
