{"id":"https://openalex.org/W4415934331","doi":"https://doi.org/10.1109/iacis65746.2025.11211073","title":"Hybrid Transformer Based Framework for Enhanced Financial Market Analysis and Online Trading Forecasting","display_name":"Hybrid Transformer Based Framework for Enhanced Financial Market Analysis and Online Trading Forecasting","publication_year":2025,"publication_date":"2025-08-22","ids":{"openalex":"https://openalex.org/W4415934331","doi":"https://doi.org/10.1109/iacis65746.2025.11211073"},"language":"en","primary_location":{"id":"doi:10.1109/iacis65746.2025.11211073","doi":"https://doi.org/10.1109/iacis65746.2025.11211073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iacis65746.2025.11211073","pdf_url":null,"source":{"id":"https://openalex.org/S7407096113","display_name":"International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 2nd International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5061072164","display_name":"J. Suhashini","orcid":"https://orcid.org/0000-0003-2582-974X","observed_orcids":["https://orcid.org/0000-0003-2582-974X"]},"institutions":[{"id":"https://openalex.org/I4394709139","display_name":"G.T.N. Arts College","ror":"https://ror.org/04tmf7v73","country_code":"IN","type":"education","lineage":["https://openalex.org/I4394709139"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suhashini. J","raw_affiliation_strings":["GTN Arts College,Department of Management Studies,Dindigul,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GTN Arts College,Department of Management Studies,Dindigul,India","institution_ids":["https://openalex.org/I4394709139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118905981","display_name":"Kumaran Thayumanavan","orcid":"https://orcid.org/0000-0002-6855-7708","observed_orcids":["https://orcid.org/0000-0002-6855-7708"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kumaran Thayumanavan","raw_affiliation_strings":["Velammal College of Engineering and Technology,Department of Management Studies,Madurai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Velammal College of Engineering and Technology,Department of Management Studies,Madurai,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036064997","display_name":"Ajit Kumar","orcid":"https://orcid.org/0000-0002-9093-9470","observed_orcids":["https://orcid.org/0000-0002-9093-9470"]},"institutions":[{"id":"https://openalex.org/I191972202","display_name":"Amity University","ror":"https://ror.org/02n9z0v62","country_code":"IN","type":"education","lineage":["https://openalex.org/I191972202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ajit Kumar","raw_affiliation_strings":["Amity College of Commerce and Finance, Amity University Patna,Patna,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amity College of Commerce and Finance, Amity University Patna,Patna,India","institution_ids":["https://openalex.org/I191972202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015262029","display_name":"RVS Praveen","orcid":"https://orcid.org/0009-0009-6683-5573","observed_orcids":["https://orcid.org/0009-0009-6683-5573","https://orcid.org/0000-0001-9048-6224"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"RVS Praveen","raw_affiliation_strings":["Utilities Americas,Houston,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utilities Americas,Houston,USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107079836","display_name":"Manisha Amol Bhendale","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I887998513","display_name":"Bharati Vidyapeeth (Deemed to be University)","ror":"https://ror.org/0052mmx10","country_code":"IN","type":"education","lineage":["https://openalex.org/I887998513"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manisha Amol Bhendale","raw_affiliation_strings":["Bharati Vidyapeeth College of Engineering,Department of Instrumentation Engineering,Mumbai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bharati Vidyapeeth College of Engineering,Department of Instrumentation Engineering,Mumbai,India","institution_ids":["https://openalex.org/I887998513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107684448","display_name":"Kuldeep Agnihotri","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuldeep Agnihotri","raw_affiliation_strings":["ISBA Group of Institutes,Indore,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISBA Group of Institutes,Indore,India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11326","display_name":"Stock Market Forecasting Methods","score":1.0,"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":1.0,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10047","display_name":"Financial Markets and Investment Strategies","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hybrid-transformer","display_name":"hybrid transformer","score":0.9409999847412109},{"id":"https://openalex.org/keywords/financial-market-prediction","display_name":"financial market forecasting","score":0.8029999732971191},{"id":"https://openalex.org/keywords/online-trading","display_name":"online trading","score":0.8389999866485596},{"id":"https://openalex.org/keywords/iot-data-integration","display_name":"IoT data integration","score":0.7490000128746033},{"id":"https://openalex.org/keywords/consumer-behavior","display_name":"consumer behavior","score":0.8130000233650208},{"id":"https://openalex.org/keywords/retail-platforms","display_name":"retail platforms","score":0.5600000023841858},{"id":"https://openalex.org/keywords/patch-aggregation","display_name":"patch aggregation","score":0.6790000200271606},{"id":"https://openalex.org/keywords/self-attention","display_name":"self-attention","score":0.7149999737739563},{"id":"https://openalex.org/keywords/trade-patterns","display_name":"trade patterns","score":0.5329999923706055},{"id":"https://openalex.org/keywords/market-movements","display_name":"market movements","score":0.5},{"id":"https://openalex.org/keywords/deft","display_name":"DEFT","score":0.49900001287460327}],"concepts":[{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.51419997215271},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5098999738693237},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.45559999346733093},{"id":"https://openalex.org/C131562839","wikidata":"https://www.wikidata.org/wiki/Q1574928","display_name":"Trading strategy","level":2,"score":0.4544000029563904},{"id":"https://openalex.org/C114118609","wikidata":"https://www.wikidata.org/wiki/Q3036837","display_name":"Market data","level":2,"score":0.4535999894142151},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4212000072002411},{"id":"https://openalex.org/C78508483","wikidata":"https://www.wikidata.org/wiki/Q139445","display_name":"Algorithmic trading","level":2,"score":0.41920000314712524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3901999890804291},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.38830000162124634},{"id":"https://openalex.org/C139043278","wikidata":"https://www.wikidata.org/wiki/Q837171","display_name":"Financial services","level":2,"score":0.3666999936103821},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.35749998688697815},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.35199999809265137},{"id":"https://openalex.org/C179036041","wikidata":"https://www.wikidata.org/wiki/Q1901028","display_name":"Market analysis","level":2,"score":0.3472000062465668},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.3440000116825104},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.3296999931335449},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.323199987411499},{"id":"https://openalex.org/C540431452","wikidata":"https://www.wikidata.org/wiki/Q16319025","display_name":"FinTech","level":3,"score":0.30799999833106995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30720001459121704},{"id":"https://openalex.org/C51926234","wikidata":"https://www.wikidata.org/wiki/Q3312426","display_name":"Market microstructure","level":3,"score":0.30410000681877136},{"id":"https://openalex.org/C27564746","wikidata":"https://www.wikidata.org/wiki/Q913709","display_name":"Market research","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C130731218","wikidata":"https://www.wikidata.org/wiki/Q1363554","display_name":"Financial analysis","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.28790000081062317},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C24683644","wikidata":"https://www.wikidata.org/wiki/Q138372","display_name":"High-frequency trading","level":3,"score":0.2662000060081482},{"id":"https://openalex.org/C33400823","wikidata":"https://www.wikidata.org/wiki/Q1419119","display_name":"Market depth","level":4,"score":0.26109999418258667},{"id":"https://openalex.org/C40700","wikidata":"https://www.wikidata.org/wiki/Q1411783","display_name":"Industrial organization","level":1,"score":0.25529998540878296}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iacis65746.2025.11211073","doi":"https://doi.org/10.1109/iacis65746.2025.11211073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iacis65746.2025.11211073","pdf_url":null,"source":{"id":"https://openalex.org/S7407096113","display_name":"International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 2nd International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1975330393","https://openalex.org/W2888348582","https://openalex.org/W2914888512","https://openalex.org/W2982109826","https://openalex.org/W3045635111","https://openalex.org/W3208196388","https://openalex.org/W4321460075","https://openalex.org/W4327968808","https://openalex.org/W4390679132","https://openalex.org/W4391402146","https://openalex.org/W4394828687","https://openalex.org/W4400579799","https://openalex.org/W4400618193","https://openalex.org/W4404351592","https://openalex.org/W4406931714","https://openalex.org/W4407433015"],"related_works":["https://openalex.org/W7124844106","https://openalex.org/W6949221165","https://openalex.org/W4407627920","https://openalex.org/W7128594986","https://openalex.org/W7211974236","https://openalex.org/W7199409913","https://openalex.org/W7143049418","https://openalex.org/W4415427414","https://openalex.org/W4285095440","https://openalex.org/W7217156097"],"abstract_inverted_index":{"Through":[0],"the":[1,12,15,40,62,93,104,123,186],"monitoring":[2],"of":[3,14,52,64,69,116,125,137,166,188],"consumer":[4],"behaviour":[5],"in":[6,135,156],"both":[7],"online":[8,30,173],"and":[9,29,57,82,95,147,160,172,182],"physical":[10],"transactions,":[11],"integration":[13,187],"IOT":[16,41],"into":[17],"financial":[18,26,117],"market":[19,27,100,161,170],"analytics":[20,171],"presents":[21],"substantial":[22],"opportunities":[23],"for":[24,114],"enhanced":[25],"analysis":[28,115],"trading.":[31],"This":[32],"study":[33],"delves":[34],"at":[35,119],"how":[36,58,86],"data":[37,75,118,190],"afforded":[38],"by":[39],"can":[42,175],"be":[43],"combined":[44],"from":[45,76,111,177],"many":[46],"sources":[47],"to":[48,131],"enhance":[49],"our":[50],"understanding":[51],"trading":[53,158,174],"behaviour,":[54],"customer":[55],"demand,":[56],"these":[59],"factors":[60],"affect":[61],"performance":[63,155],"securities.":[65],"The":[66,151],"consumption":[67],"intensity":[68],"different":[70],"groups":[71],"was":[72],"determined":[73],"using":[74],"retail":[77],"platforms;":[78],"this":[79],"has":[80],"direct":[81],"indirect":[83],"effects":[84],"on":[85],"merchants":[87],"allocate":[88],"capital.":[89],"Preprocessing":[90],"methods":[91],"normalised":[92],"data,":[94],"feature":[96],"extraction":[97],"yielded":[98],"useful":[99],"insights.":[101],"They":[102],"introduce":[103],"DefT,":[105],"a":[106],"hybrid":[107],"transformer":[108],"design":[109],"adapted":[110],"defect":[112],"detection":[113],"several":[120],"scales,":[121],"with":[122,163,192],"goal":[124],"improving":[126],"predictive":[127],"capabilities.":[128],"In":[129],"order":[130],"accurately":[132],"mimic":[133],"interactions":[134],"contexts":[136],"varying":[138],"sizes,":[139],"DefT":[140],"employs":[141],"patch":[142],"aggregation,":[143],"locally":[144],"position-aware":[145],"encoding,":[146],"lightweight":[148],"multi-pooling":[149],"self-attention.":[150],"model":[152],"demonstrated":[153],"strong":[154],"analysing":[157],"patterns":[159],"movements,":[162],"an":[164],"accuracy":[165],"94.02":[167],"%.":[168],"Financial":[169],"benefit":[176],"improved":[178],"forecast":[179],"accuracy,":[180],"decision-making,":[181],"strategic":[183],"outcomes":[184],"through":[185],"IoT-driven":[189],"collecting":[191],"advanced":[193],"transformer-based":[194],"analysis.":[195]},"counts_by_year":[],"updated_date":"2026-11-01T11:40:01.658920","created_date":"2025-11-05T00:00:00"}