{"id":"https://openalex.org/W4415400143","doi":"https://doi.org/10.1109/ficloud66139.2025.00038","title":"Predicting Trending Movements on the Stock Exchange using Machine Learnings","display_name":"Predicting Trending Movements on the Stock Exchange using Machine Learnings","publication_year":2025,"publication_date":"2025-08-11","ids":{"openalex":"https://openalex.org/W4415400143","doi":"https://doi.org/10.1109/ficloud66139.2025.00038"},"language":null,"primary_location":{"id":"doi:10.1109/ficloud66139.2025.00038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ficloud66139.2025.00038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 12th International Conference on Future Internet of Things and Cloud (FiCloud)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102922432","display_name":"Eduardo Nascimento","orcid":"https://orcid.org/0009-0005-3391-7813"},"institutions":[{"id":"https://openalex.org/I3129743071","display_name":"Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia de Bras\u00edlia","ror":"https://ror.org/03bk74w21","country_code":"BR","type":"education","lineage":["https://openalex.org/I1293487690","https://openalex.org/I2801200668","https://openalex.org/I3129743071"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eduardo Amorim Do Nascimento","raw_affiliation_strings":["Instituto Federal de Brasília,Taguatinga - DF,Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Federal de Brasília,Taguatinga - DF,Brasil","institution_ids":["https://openalex.org/I3129743071"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001391900","display_name":"Raimundo Cl\u00e1udio da Silva Vasconcelos","orcid":null},"institutions":[{"id":"https://openalex.org/I3129743071","display_name":"Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia de Bras\u00edlia","ror":"https://ror.org/03bk74w21","country_code":"BR","type":"education","lineage":["https://openalex.org/I1293487690","https://openalex.org/I2801200668","https://openalex.org/I3129743071"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Raimundo Claudio Da Silva Vasconcelos","raw_affiliation_strings":["Instituto Federal de Brasília,Taguatinga - DF,Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Federal de Brasília,Taguatinga - DF,Brasil","institution_ids":["https://openalex.org/I3129743071"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3129743071"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37156586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"224","last_page":"231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9894000291824341,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9894000291824341,"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/stock-exchange","display_name":"Stock exchange","score":0.6460999846458435},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.48809999227523804},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.48080000281333923},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4043999910354614},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.3799000084400177},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.3619999885559082},{"id":"https://openalex.org/keywords/investment-strategy","display_name":"Investment strategy","score":0.35760000348091125}],"concepts":[{"id":"https://openalex.org/C200870193","wikidata":"https://www.wikidata.org/wiki/Q11691","display_name":"Stock exchange","level":2,"score":0.6460999846458435},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.48809999227523804},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.48080000281333923},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.45680001378059387},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.4088999927043915},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4043999910354614},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3799000084400177},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3619999885559082},{"id":"https://openalex.org/C103144560","wikidata":"https://www.wikidata.org/wiki/Q2670999","display_name":"Investment strategy","level":3,"score":0.35760000348091125},{"id":"https://openalex.org/C2778775528","wikidata":"https://www.wikidata.org/wiki/Q5135432","display_name":"Closing (real estate)","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.3382999897003174},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3366999924182892},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.3334999978542328},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.32330000400543213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32109999656677246},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.3043999969959259},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.26339998841285706},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C2776988154","wikidata":"https://www.wikidata.org/wiki/Q66100","display_name":"Exchange rate","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ficloud66139.2025.00038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ficloud66139.2025.00038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 12th International Conference on Future Internet of Things and Cloud (FiCloud)","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":12,"referenced_works":["https://openalex.org/W2793498167","https://openalex.org/W2967723546","https://openalex.org/W2970016095","https://openalex.org/W2979877996","https://openalex.org/W3003632367","https://openalex.org/W3010201537","https://openalex.org/W3166743809","https://openalex.org/W3215475806","https://openalex.org/W4224021630","https://openalex.org/W4225145899","https://openalex.org/W4255089456","https://openalex.org/W4400762160"],"related_works":[],"abstract_inverted_index":{"In":[0],"face":[1],"of":[2,8,44,65,88],"the":[3,9,16,63,68,85,100],"growing":[4],"evolution":[5],"and":[6,13,58,75],"complexity":[7],"stock":[10,37,70],"market,":[11],"investors":[12],"professionals":[14],"in":[15,33,36,109],"field":[17],"seek":[18],"assistance":[19],"from":[20],"data":[21],"analysis":[22],"for":[23],"decision-making.":[24],"This":[25,91],"work":[26,92],"explores":[27],"a":[28,41],"valuable":[29],"tool":[30],"to":[31,95],"aid":[32],"predicting":[34],"trends":[35],"closing":[38],"values,":[39],"employing":[40],"combined":[42],"strategy":[43],"four":[45],"models:":[46],"Long":[47],"Short":[48],"Term":[49],"Memory":[50],"(LSTM),":[51],"Linear":[52],"Regression":[53],"(LR),":[54],"Random":[55],"Forest":[56],"(RF),":[57],"Multilayer":[59],"Perceptron":[60],"(MLP).":[61],"Evaluating":[62],"movement":[64],"companies":[66],"on":[67,84,99],"Brazilian":[69],"exchange":[71],"over":[72],"different":[73],"periods":[74],"using":[76],"an":[77],"approach":[78],"with":[79],"strategic":[80],"weight":[81],"allocation":[82],"based":[83],"individual":[86],"results":[87,104],"each":[89],"model.":[90],"achieved":[93],"60%":[94],"75%":[96],"accuracy,":[97],"depending":[98],"period":[101],"evaluated.":[102],"These":[103],"can":[105],"support":[106],"market":[107],"agents":[108],"improving":[110],"their":[111],"investment":[112],"models.":[113]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-22T00:00:00"}