{"id":"https://openalex.org/W2963287440","doi":"https://doi.org/10.1515/jisys-2018-0074","title":"Predict Forex Trend via Convolutional Neural Networks","display_name":"Predict Forex Trend via Convolutional Neural Networks","publication_year":2018,"publication_date":"2018-09-28","ids":{"openalex":"https://openalex.org/W2963287440","doi":"https://doi.org/10.1515/jisys-2018-0074","mag":"2963287440"},"language":"en","primary_location":{"id":"doi:10.1515/jisys-2018-0074","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2018-0074","pdf_url":"http://www.degruyter.com/downloadpdf/j/jisys.2020.29.issue-1/jisys-2018-0074/jisys-2018-0074.xml","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://www.degruyter.com/downloadpdf/j/jisys.2020.29.issue-1/jisys-2018-0074/jisys-2018-0074.xml","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008816013","display_name":"Yun\u2010Cheng Tsai","orcid":"https://orcid.org/0000-0002-6266-7260"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yun-Cheng Tsai","raw_affiliation_strings":["Center for General Education, National Taiwan University , Taipei , Taiwan"],"affiliations":[{"raw_affiliation_string":"Center for General Education, National Taiwan University , Taipei , Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111829868","display_name":"Jun-Hao Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jun-Hao Chen","raw_affiliation_strings":["Department of Computer Science and Information Engineering , National Taiwan University , Taipei , Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering , National Taiwan University , Taipei , Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100395808","display_name":"Junjie Wang","orcid":"https://orcid.org/0000-0002-8451-7765"},"institutions":[{"id":"https://openalex.org/I99613584","display_name":"National Taipei University","ror":"https://ror.org/03e29r284","country_code":"TW","type":"education","lineage":["https://openalex.org/I99613584"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jun-Jie Wang","raw_affiliation_strings":["Department of Computer Science and Information Engineering , National Taipei University , New Taipei City , Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering , National Taipei University , New Taipei City , Taiwan","institution_ids":["https://openalex.org/I99613584"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008816013"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":2.3292,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.89530755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"29","issue":"1","first_page":"941","last_page":"958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9990000128746033,"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":0.9990000128746033,"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/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T11059","display_name":"Market Dynamics and Volatility","score":0.9878000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8362057209014893},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6951776146888733},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6810283660888672},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6615496873855591},{"id":"https://openalex.org/keywords/trading-strategy","display_name":"Trading strategy","score":0.6073891520500183},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.5013997554779053},{"id":"https://openalex.org/keywords/algorithmic-trading","display_name":"Algorithmic trading","score":0.49381765723228455},{"id":"https://openalex.org/keywords/foreign-exchange-market","display_name":"Foreign exchange market","score":0.4892082214355469},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4885471761226654},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.44530385732650757},{"id":"https://openalex.org/keywords/foreign-exchange","display_name":"Foreign exchange","score":0.1769348680973053},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.12542098760604858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8362057209014893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6951776146888733},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6810283660888672},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6615496873855591},{"id":"https://openalex.org/C131562839","wikidata":"https://www.wikidata.org/wiki/Q1574928","display_name":"Trading strategy","level":2,"score":0.6073891520500183},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.5013997554779053},{"id":"https://openalex.org/C78508483","wikidata":"https://www.wikidata.org/wiki/Q139445","display_name":"Algorithmic trading","level":2,"score":0.49381765723228455},{"id":"https://openalex.org/C536366893","wikidata":"https://www.wikidata.org/wiki/Q66076","display_name":"Foreign exchange market","level":3,"score":0.4892082214355469},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4885471761226654},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.44530385732650757},{"id":"https://openalex.org/C2983132609","wikidata":"https://www.wikidata.org/wiki/Q66076","display_name":"Foreign exchange","level":2,"score":0.1769348680973053},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.12542098760604858},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C556758197","wikidata":"https://www.wikidata.org/wiki/Q580018","display_name":"Monetary economics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/jisys-2018-0074","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2018-0074","pdf_url":"http://www.degruyter.com/downloadpdf/j/jisys.2020.29.issue-1/jisys-2018-0074/jisys-2018-0074.xml","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5a0b4dfd52574ee8856907dcf6c6c0bd","is_oa":true,"landing_page_url":"https://doaj.org/article/5a0b4dfd52574ee8856907dcf6c6c0bd","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Intelligent Systems, Vol 29, Iss 1, Pp 941-958 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/jisys-2018-0074","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2018-0074","pdf_url":"http://www.degruyter.com/downloadpdf/j/jisys.2020.29.issue-1/jisys-2018-0074/jisys-2018-0074.xml","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963287440.pdf","grobid_xml":"https://content.openalex.org/works/W2963287440.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W70169678","https://openalex.org/W197865394","https://openalex.org/W2127223208","https://openalex.org/W2171169470","https://openalex.org/W2600049448","https://openalex.org/W4245879216","https://openalex.org/W6600238479","https://openalex.org/W6630694056"],"related_works":["https://openalex.org/W4313491999","https://openalex.org/W3195402399","https://openalex.org/W2523594540","https://openalex.org/W4206190611","https://openalex.org/W4386802006","https://openalex.org/W2626644293","https://openalex.org/W4380900967","https://openalex.org/W1508920550","https://openalex.org/W3163227199","https://openalex.org/W3202533796"],"abstract_inverted_index":{"Abstract":[0],"Deep":[1],"learning":[2,26],"is":[3,48,89,121],"an":[4],"effective":[5],"approach":[6,47,143],"to":[7,27,58,67,81,95,124],"solving":[8],"image":[9],"recognition":[10],"problems.":[11],"People":[12],"draw":[13],"intuitive":[14],"conclusions":[15],"from":[16,78],"trading":[17,40,61,70,98,147,155],"charts.":[18,41],"This":[19],"study":[20],"uses":[21],"the":[22,37,50,69,75,103,109,119,126,130,135],"characteristics":[23],"of":[24,34,39,45,92,108,111,137],"deep":[25,93],"train":[28,96],"computers":[29],"in":[30,36,106],"imitating":[31],"this":[32],"kind":[33],"intuition":[35],"context":[38],"The":[42,113],"main":[43],"goal":[44],"our":[46,97,142],"combining":[49],"time-series":[51],"modeling":[52],"and":[53,149],"convolutional":[54],"neural":[55],"networks":[56],"(CNNs)":[57],"build":[59,68],"a":[60,86,90,138],"model.":[62,71,99],"We":[63],"propose":[64],"three":[65],"steps":[66],"First,":[72],"we":[73,84,101],"preprocess":[74],"input":[76],"data":[77,80],"quantitative":[79],"images.":[82],"Second,":[83],"use":[85],"CNN,":[87],"which":[88],"type":[91],"learning,":[94],"Third,":[100],"evaluate":[102],"model\u2019s":[104],"performance":[105],"terms":[107],"accuracy":[110],"classification.":[112],"experimental":[114],"results":[115],"show":[116],"that":[117],"if":[118],"strategy":[120],"clear":[122],"enough":[123],"make":[125],"images":[127],"obviously":[128],"distinguishable":[129],"CNN":[131],"model":[132],"can":[133,144],"predict":[134],"prices":[136],"financial":[139],"asset.":[140],"Hence,":[141],"help":[145,150],"devise":[146],"strategies":[148],"clients":[151],"automatically":[152],"obtain":[153],"personalized":[154],"strategies.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6}],"updated_date":"2025-12-06T23:10:59.065948","created_date":"2019-07-30T00:00:00"}