{"id":"https://openalex.org/W7160189168","doi":"https://doi.org/10.1155/int/7540106","title":"MSA\u2010xLSTM: Multimodal Stock Price Forecasting With Multiscale Emotional Attention and Extended LSTM","display_name":"MSA\u2010xLSTM: Multimodal Stock Price Forecasting With Multiscale Emotional Attention and Extended LSTM","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7160189168","doi":"https://doi.org/10.1155/int/7540106"},"language":"en","primary_location":{"id":"doi:10.1155/int/7540106","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/7540106","pdf_url":null,"source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1155/int/7540106","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135221683","display_name":"Shuheng Lyu","orcid":"https://orcid.org/0009-0008-8960-3567"},"institutions":[{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuheng Lyu","raw_affiliation_strings":["School of Computing and Artificial Intelligence ,  Shandong University of Finance and Economics ,  Jinan ,  250014 , Shandong,  China , sdufe.edu.cn"],"raw_orcid":"https://orcid.org/0009-0008-8960-3567","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence ,  Shandong University of Finance and Economics ,  Jinan ,  250014 , Shandong,  China , sdufe.edu.cn","institution_ids":["https://openalex.org/I59483232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135157042","display_name":"Li Li","orcid":"https://orcid.org/0009-0004-5191-4889"},"institutions":[{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Li","raw_affiliation_strings":["School of Computing and Artificial Intelligence ,  Shandong University of Finance and Economics ,  Jinan ,  250014 , Shandong,  China , sdufe.edu.cn"],"raw_orcid":"https://orcid.org/0009-0004-5191-4889","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence ,  Shandong University of Finance and Economics ,  Jinan ,  250014 , Shandong,  China , sdufe.edu.cn","institution_ids":["https://openalex.org/I59483232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135137315","display_name":"Xiaoxi Nie","orcid":"https://orcid.org/0009-0009-9134-1137"},"institutions":[{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxi Nie","raw_affiliation_strings":["School of Computing and Artificial Intelligence ,  Shandong University of Finance and Economics ,  Jinan ,  250014 , Shandong,  China , sdufe.edu.cn"],"raw_orcid":"https://orcid.org/0009-0009-9134-1137","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence ,  Shandong University of Finance and Economics ,  Jinan ,  250014 , Shandong,  China , sdufe.edu.cn","institution_ids":["https://openalex.org/I59483232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042281820","display_name":"Xiaohong Shen","orcid":"https://orcid.org/0000-0001-7048-9751"},"institutions":[{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Shen","raw_affiliation_strings":["School of Computing and Artificial Intelligence ,  Shandong University of Finance and Economics ,  Jinan ,  250014 , Shandong,  China , sdufe.edu.cn"],"raw_orcid":"https://orcid.org/0000-0001-7048-9751","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence ,  Shandong University of Finance and Economics ,  Jinan ,  250014 , Shandong,  China , sdufe.edu.cn","institution_ids":["https://openalex.org/I59483232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135157911","display_name":"Caiming Zhang","orcid":"https://orcid.org/0000-0003-0217-1543"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I4210097214","display_name":"Shandong Management University","ror":"https://ror.org/00vzprm14","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210097214"]},{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caiming Zhang","raw_affiliation_strings":["School of Software ,  Shandong University ,  Jinan ,  250101 , Shandong,  China , sdu.edu.cn","Shandong Future Intelligent Finance Engineering Laboratory ,  Shandong Technology and Business University ,  Yantai ,  264003 , Shandong,  China , sdibt.edu.cn"],"raw_orcid":"https://orcid.org/0000-0003-0217-1543","affiliations":[{"raw_affiliation_string":"School of Software ,  Shandong University ,  Jinan ,  250101 , Shandong,  China , sdu.edu.cn","institution_ids":["https://openalex.org/I154099455","https://openalex.org/I4210097214"]},{"raw_affiliation_string":"Shandong Future Intelligent Finance Engineering Laboratory ,  Shandong Technology and Business University ,  Yantai ,  264003 , Shandong,  China , sdibt.edu.cn","institution_ids":["https://openalex.org/I83776822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5135157042"],"corresponding_institution_ids":["https://openalex.org/I59483232"],"apc_list":{"value":2500,"currency":"USD","value_usd":2500},"apc_paid":{"value":2500,"currency":"USD","value_usd":2500},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65161056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2026","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9894999861717224,"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":0.9894999861717224,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.0019000000320374966,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stock-price","display_name":"Stock price","score":0.5778999924659729},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.4763000011444092},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4489000141620636},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.397599995136261},{"id":"https://openalex.org/keywords/technical-analysis","display_name":"Technical analysis","score":0.37439998984336853},{"id":"https://openalex.org/keywords/stock-market-index","display_name":"Stock market index","score":0.35269999504089355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7734000086784363},{"id":"https://openalex.org/C2988984586","wikidata":"https://www.wikidata.org/wiki/Q1020013","display_name":"Stock price","level":3,"score":0.5778999924659729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4839000105857849},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.4763000011444092},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4489000141620636},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42410001158714294},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.397599995136261},{"id":"https://openalex.org/C117245426","wikidata":"https://www.wikidata.org/wiki/Q235038","display_name":"Technical analysis","level":2,"score":0.37439998984336853},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35910001397132874},{"id":"https://openalex.org/C88389905","wikidata":"https://www.wikidata.org/wiki/Q223371","display_name":"Stock market index","level":4,"score":0.35269999504089355},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.35030001401901245},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2685000002384186},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2581000030040741}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/int/7540106","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/7540106","pdf_url":null,"source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/int/7540106","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/7540106","pdf_url":null,"source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1967103273","https://openalex.org/W1995382443","https://openalex.org/W2007358469","https://openalex.org/W2064675550","https://openalex.org/W2068451972","https://openalex.org/W2110485445","https://openalex.org/W2110603299","https://openalex.org/W2112796928","https://openalex.org/W2117014758","https://openalex.org/W2624385633","https://openalex.org/W2793350103","https://openalex.org/W2794778778","https://openalex.org/W2798413829","https://openalex.org/W2901962466","https://openalex.org/W2919115771","https://openalex.org/W2946975908","https://openalex.org/W2963091558","https://openalex.org/W3005880472","https://openalex.org/W3009650506","https://openalex.org/W3025573255","https://openalex.org/W3110420963","https://openalex.org/W3124986135","https://openalex.org/W3125952890","https://openalex.org/W3177318507","https://openalex.org/W4205505376","https://openalex.org/W4213185202","https://openalex.org/W4220725857","https://openalex.org/W4231546411","https://openalex.org/W4248503640","https://openalex.org/W4249692389","https://openalex.org/W4313582463","https://openalex.org/W4360999278","https://openalex.org/W4361279213","https://openalex.org/W4366828973","https://openalex.org/W4367397399","https://openalex.org/W4406892311"],"related_works":[],"abstract_inverted_index":{"Financial":[0],"time":[1],"series":[2],"forecasting":[3,43],"is":[4,64],"a":[5,51,58,77],"long\u2010standing":[6],"challenge":[7],"due":[8],"to":[9,34,66],"the":[10,68,114,126,141],"high":[11],"complexity,":[12],"randomness,":[13],"and":[14,37,73,81,98,106,117,134],"nonstationary":[15],"of":[16,70,128],"data.":[17],"While":[18],"predictions":[19],"are":[20,89,109,122],"typically":[21],"made":[22],"based":[23],"on":[24],"historical":[25],"data":[26],"with":[27,113],"multiple":[28],"features,":[29],"existing":[30],"models":[31],"often":[32],"fail":[33],"effectively":[35],"integrate":[36],"utilize":[38],"these":[39],"diverse":[40],"inputs,":[41],"limiting":[42],"accuracy.":[44],"To":[45],"address":[46],"this,":[47],"we":[48],"propose":[49],"MSA\u2010xLSTM,":[50],"multimodal":[52],"stock":[53,99],"price":[54],"prediction":[55,115],"model":[56,63,130],"incorporating":[57],"sentiment":[59,71,82,86],"attention":[60,83],"mechanism.":[61],"This":[62],"designed":[65],"enhance":[67],"integration":[69],"features":[72],"technical":[74,102],"indicators":[75],"through":[76,132],"multiscale":[78],"processing":[79],"approach":[80],"module.":[84],"Specifically,":[85],"index":[87],"sequences":[88],"extracted":[90],"from":[91],"textual":[92],"sources":[93],"such":[94],"as":[95],"financial":[96],"news":[97],"comments.":[100],"For":[101],"indicators,":[103],"both":[104],"basic":[105],"derived":[107],"metrics":[108],"analyzed":[110],"for":[111],"correlation":[112],"target,":[116],"only":[118],"highly":[119],"relevant":[120],"ones":[121],"selected.":[123],"We":[124],"validate":[125],"effectiveness":[127],"each":[129],"component":[131],"comparative":[133],"ablation":[135],"experiments.":[136],"Furthermore,":[137],"backtesting":[138],"experiments":[139],"demonstrate":[140],"model\u2019s":[142],"practical":[143],"value":[144],"in":[145],"real\u2010world":[146],"trading":[147],"scenarios.":[148]},"counts_by_year":[],"updated_date":"2026-06-18T08:10:14.011955","created_date":"2026-05-05T00:00:00"}
