{"id":"https://openalex.org/W3025589790","doi":"https://doi.org/10.1109/iciot48696.2020.9089616","title":"Using Deep Learning to Predict Stock Movements Direction in Emerging Markets: The Case of Qatar Stock Exchange","display_name":"Using Deep Learning to Predict Stock Movements Direction in Emerging Markets: The Case of Qatar Stock Exchange","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3025589790","doi":"https://doi.org/10.1109/iciot48696.2020.9089616","mag":"3025589790"},"language":"en","primary_location":{"id":"doi:10.1109/iciot48696.2020.9089616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciot48696.2020.9089616","pdf_url":null,"source":{"id":"https://openalex.org/S4306498678","display_name":"2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)","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/A5066984437","display_name":"Saleh Alhazbi","orcid":"https://orcid.org/0000-0001-9985-9429"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":true,"raw_author_name":"Saleh Alhazbi","raw_affiliation_strings":["Dept. of Computer Science & Engineering, Qatar University, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056557980","display_name":"Ahmed Ben Said","orcid":"https://orcid.org/0000-0002-7760-8132"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Ahmed Ben Said","raw_affiliation_strings":["Dept. of Computer Science & Engineering, Qatar University, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056400951","display_name":"Alanoud Al\u2010Maadid","orcid":"https://orcid.org/0000-0002-6022-2858"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Alanoud Al-Maadid","raw_affiliation_strings":["Dept. of Finance & Economics, Qatar University, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Dept. of Finance & Economics, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066984437"],"corresponding_institution_ids":["https://openalex.org/I60342839"],"apc_list":null,"apc_paid":null,"fwci":3.2967,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.9281768,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"440","last_page":"444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T11059","display_name":"Market Dynamics and Volatility","score":0.9991000294685364,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9926999807357788,"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/emerging-markets","display_name":"Emerging markets","score":0.6465384364128113},{"id":"https://openalex.org/keywords/volatility","display_name":"Volatility (finance)","score":0.636435866355896},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.6077597737312317},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5968114137649536},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5739890336990356},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5658407211303711},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5061811804771423},{"id":"https://openalex.org/keywords/stock-exchange","display_name":"Stock exchange","score":0.5044506788253784},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49848341941833496},{"id":"https://openalex.org/keywords/stock-market-index","display_name":"Stock market index","score":0.49363529682159424},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4461807906627655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38018956780433655},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.2892654240131378},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.26666659116744995},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.1185799241065979},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10406070947647095},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09059363603591919}],"concepts":[{"id":"https://openalex.org/C121087249","wikidata":"https://www.wikidata.org/wiki/Q546395","display_name":"Emerging markets","level":2,"score":0.6465384364128113},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.636435866355896},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.6077597737312317},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5968114137649536},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5739890336990356},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5658407211303711},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5061811804771423},{"id":"https://openalex.org/C200870193","wikidata":"https://www.wikidata.org/wiki/Q11691","display_name":"Stock exchange","level":2,"score":0.5044506788253784},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49848341941833496},{"id":"https://openalex.org/C88389905","wikidata":"https://www.wikidata.org/wiki/Q223371","display_name":"Stock market index","level":4,"score":0.49363529682159424},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4461807906627655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38018956780433655},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2892654240131378},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.26666659116744995},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.1185799241065979},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10406070947647095},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09059363603591919},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iciot48696.2020.9089616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciot48696.2020.9089616","pdf_url":null,"source":{"id":"https://openalex.org/S4306498678","display_name":"2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)","raw_type":"proceedings-article"},{"id":"pmh:oai:qspace.qu.edu.qa:10576/38501","is_oa":false,"landing_page_url":"http://hdl.handle.net/10576/38501","pdf_url":null,"source":{"id":"https://openalex.org/S4306400014","display_name":"Qatar University QSpace (Qatar University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60342839","host_organization_name":"Qatar University","host_organization_lineage":["https://openalex.org/I60342839"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W82702175","https://openalex.org/W832636362","https://openalex.org/W1558502133","https://openalex.org/W1589922412","https://openalex.org/W1979575715","https://openalex.org/W1980836123","https://openalex.org/W2013098077","https://openalex.org/W2018769689","https://openalex.org/W2020857086","https://openalex.org/W2063098553","https://openalex.org/W2078310715","https://openalex.org/W2082296583","https://openalex.org/W2090637028","https://openalex.org/W2091621250","https://openalex.org/W2122343819","https://openalex.org/W2313953460","https://openalex.org/W2518082881","https://openalex.org/W2542516223","https://openalex.org/W2734986640","https://openalex.org/W2769965174","https://openalex.org/W2781607944","https://openalex.org/W2785770483","https://openalex.org/W2940897671","https://openalex.org/W2953640816","https://openalex.org/W2955631812","https://openalex.org/W3123289511","https://openalex.org/W3142673615","https://openalex.org/W4289744562","https://openalex.org/W6603319497"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W209252387","https://openalex.org/W2036133148","https://openalex.org/W3193164354","https://openalex.org/W2982754925","https://openalex.org/W4321487865","https://openalex.org/W1967407015","https://openalex.org/W4313906399","https://openalex.org/W3125842711","https://openalex.org/W2140187337"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"approaches":[2],"have":[3,46],"been":[4],"utilized":[5],"to":[6,18,69,74,85],"predict":[7,19],"stocks.":[8],"In":[9,64,83],"this":[10,65],"study,":[11,66],"we":[12,67,88],"use":[13,70],"convolutional":[14],"neural":[15],"network":[16],"(CNN)":[17],"stocks":[20],"direction":[21],"in":[22,34,41,81,99],"Qatar":[23],"stock":[24],"exchange":[25],"(QE)":[26],"as":[27],"a":[28],"case":[29],"of":[30,78,91,102,116],"emerging":[31,35],"markets.":[32],"Prediction":[33],"markets":[36,55],"is":[37,106],"more":[38],"challenging":[39],"than":[40],"developed":[42,54],"ones":[43],"because":[44],"they":[45],"higher":[47],"volatility":[48],"rate.":[49],"They":[50],"are":[51],"influenced":[52],"by":[53,57,119],"and":[56,96],"other":[58],"external":[59,72,111],"factors":[60,73,112],"including":[61],"oil":[62,97],"price.":[63],"aim":[68],"these":[71,110],"improve":[75],"the":[76,79,100,114,117],"accuracy":[77,115],"prediction":[80,118],"QE.":[82],"addition":[84],"historical":[86],"data,":[87],"include":[89],"data":[90],"S&P":[92],"index,":[93,95],"Nikkei":[94],"price":[98],"features":[101],"our":[103],"mode.":[104],"It":[105],"found":[107],"that":[108],"using":[109],"improves":[113],"10%.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
