{"id":"https://openalex.org/W4391769558","doi":"https://doi.org/10.1109/ccwc60891.2024.10427758","title":"A Prediction Model for Short Price Jump in Cryptocurrency Market","display_name":"A Prediction Model for Short Price Jump in Cryptocurrency Market","publication_year":2024,"publication_date":"2024-01-08","ids":{"openalex":"https://openalex.org/W4391769558","doi":"https://doi.org/10.1109/ccwc60891.2024.10427758"},"language":"en","primary_location":{"id":"doi:10.1109/ccwc60891.2024.10427758","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccwc60891.2024.10427758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC)","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/A5111128685","display_name":"M Rajaei","orcid":null},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mohammadjavad Rajaei","raw_affiliation_strings":["Ontario Tech University,Department of Electrical, Computer, and Software Engineering,Oshawa,Canada,L1G 0C5"],"affiliations":[{"raw_affiliation_string":"Ontario Tech University,Department of Electrical, Computer, and Software Engineering,Oshawa,Canada,L1G 0C5","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011840659","display_name":"Qusay H. Mahmoud","orcid":"https://orcid.org/0000-0003-0472-5757"},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Qusay H. Mahmoud","raw_affiliation_strings":["Ontario Tech University,Department of Electrical, Computer, and Software Engineering,Oshawa,Canada,L1G 0C5"],"affiliations":[{"raw_affiliation_string":"Ontario Tech University,Department of Electrical, Computer, and Software Engineering,Oshawa,Canada,L1G 0C5","institution_ids":["https://openalex.org/I39470171"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111128685"],"corresponding_institution_ids":["https://openalex.org/I39470171"],"apc_list":null,"apc_paid":null,"fwci":1.5646,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84686942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"0144","last_page":"0150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9986000061035156,"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/T11059","display_name":"Market Dynamics and Volatility","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cryptocurrency","display_name":"Cryptocurrency","score":0.9054259061813354},{"id":"https://openalex.org/keywords/volatility","display_name":"Volatility (finance)","score":0.6744440793991089},{"id":"https://openalex.org/keywords/jump","display_name":"Jump","score":0.6454765796661377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5786799788475037},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5539335012435913},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5482355952262878},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4527648985385895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3460544943809509},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3326221704483032},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.20518580079078674},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09562373161315918}],"concepts":[{"id":"https://openalex.org/C180706569","wikidata":"https://www.wikidata.org/wiki/Q13479982","display_name":"Cryptocurrency","level":2,"score":0.9054259061813354},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.6744440793991089},{"id":"https://openalex.org/C2780695682","wikidata":"https://www.wikidata.org/wiki/Q4005959","display_name":"Jump","level":2,"score":0.6454765796661377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5786799788475037},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5539335012435913},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5482355952262878},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4527648985385895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3460544943809509},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3326221704483032},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.20518580079078674},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09562373161315918},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccwc60891.2024.10427758","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccwc60891.2024.10427758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2772711733","https://openalex.org/W2894449602","https://openalex.org/W2902497627","https://openalex.org/W2943939194","https://openalex.org/W2972302621","https://openalex.org/W3000183997","https://openalex.org/W3015481177","https://openalex.org/W3046092664","https://openalex.org/W3138861928","https://openalex.org/W3159176111","https://openalex.org/W3175475299","https://openalex.org/W3181963689","https://openalex.org/W3209249686","https://openalex.org/W3217553584","https://openalex.org/W4239412360","https://openalex.org/W4385760420","https://openalex.org/W4387251049","https://openalex.org/W6746800529","https://openalex.org/W6755282952","https://openalex.org/W6802647619"],"related_works":["https://openalex.org/W4366411693","https://openalex.org/W3211641817","https://openalex.org/W3164717803","https://openalex.org/W4389915954","https://openalex.org/W3123387860","https://openalex.org/W4291291739","https://openalex.org/W2915579847","https://openalex.org/W3110645133","https://openalex.org/W4394826704","https://openalex.org/W4394984040"],"abstract_inverted_index":{"In":[0,38],"recent":[1],"years,":[2],"the":[3,57,111,124,140,183],"global":[4],"cryptocurrency":[5],"market":[6,198],"has":[7,126],"attracted":[8],"a":[9,21,43,51,119,167],"diverse":[10],"range":[11],"of":[12,122,143,170],"traders,":[13],"from":[14,71,158],"seasoned":[15],"professionals":[16],"to":[17,32,48,75,79,94,109,145,152,162,191],"newcomers,":[18],"resulting":[19],"in":[20,56,196],"highly":[22],"volatile":[23],"environment.":[24],"This":[25,180],"volatility":[26],"presents":[27],"numerous":[28],"opportunities":[29],"for":[30,185],"traders":[31],"capitalize":[33],"on":[34],"rapid":[35],"price":[36],"fluctuations.":[37],"this":[39],"context,":[40],"we":[41,101,172],"introduce":[42],"Random":[44],"Forest":[45],"model":[46,125],"designed":[47],"predict":[49],"whether":[50],"coin":[52],"will":[53],"experience":[54],"growth":[55,120,168],"next":[58],"trading":[59],"candle,":[60],"using":[61,86,166],"several":[62],"input":[63],"features.":[64],"We":[65],"used":[66,103],"Binance":[67],"historical":[68],"daily":[69],"data":[70],"1":[72,144,149,159],"Jan":[73,92,160],"2018":[74],"31":[76,146,163],"Dec":[77],"2021":[78],"train":[80],"our":[81],"models":[82,190],"and":[83,156,176],"evaluated":[84],"them":[85],"different":[87],"time":[88],"spans":[89],"(varied":[90],"between":[91],"2022":[93,161],"Oct":[95,147],"2023)":[96],"as":[97],"testing":[98,141],"datasets.":[99],"Moreover,":[100],"also":[102],"an":[104],"over":[105],"sampled":[106],"training":[107,112],"dataset":[108],"enhance":[110],"process.":[113],"Demonstrating":[114],"notable":[115],"precision,":[116],"especially":[117],"with":[118],"rate":[121,169],"1%,":[123,171],"proven":[127],"effective":[128],"across":[129],"various":[130],"scenarios,":[131],"consistently":[132],"yielding":[133],"profits.":[134],"To":[135],"be":[136],"more":[137],"specific,":[138],"regarding":[139],"datasets":[142],"2023,":[148,155,165],"Jul":[150],"2023":[151],"30":[153],"Sep":[154],"LSK/USDT":[157],"OCT":[164],"achieved":[173],"18%,":[174],"30%,":[175],"68%":[177],"profits,":[178,194],"respectively.":[179],"study":[181],"underscores":[182],"potential":[184],"leveraging":[186],"well-designed":[187],"machine":[188],"learning":[189],"achieve":[192],"significant":[193],"even":[195],"bearish":[197],"conditions.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}