{"id":"https://openalex.org/W4416382348","doi":"https://doi.org/10.62036/isd.2025.77","title":"Stock Turning Points Prediction Using Convolution Neural Networks with Return Rate Heat Map","display_name":"Stock Turning Points Prediction Using Convolution Neural Networks with Return Rate Heat Map","publication_year":2025,"publication_date":"2025-11-17","ids":{"openalex":"https://openalex.org/W4416382348","doi":"https://doi.org/10.62036/isd.2025.77"},"language":null,"primary_location":{"id":"doi:10.62036/isd.2025.77","is_oa":true,"landing_page_url":"https://doi.org/10.62036/isd.2025.77","pdf_url":"https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1756&context=isd2014","source":{"id":"https://openalex.org/S4404677940","display_name":"Proceedings of the International Conference on Information Systems Development","issn_l":"2938-5202","issn":["2938-5202"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Information Systems Development","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1756&context=isd2014","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073757727","display_name":"Mariusz Rafa\u0142o","orcid":"https://orcid.org/0000-0002-4868-3571"},"institutions":[{"id":"https://openalex.org/I18193975","display_name":"SGH Warsaw School of Economics","ror":"https://ror.org/032cph770","country_code":"PL","type":"education","lineage":["https://openalex.org/I18193975"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Mariusz Rafalo","raw_affiliation_strings":["Warsaw School of Economics, Poland"],"affiliations":[{"raw_affiliation_string":"Warsaw School of Economics, Poland","institution_ids":["https://openalex.org/I18193975"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022426516","display_name":"Ryszard Szupiluk","orcid":"https://orcid.org/0000-0002-4416-7131"},"institutions":[{"id":"https://openalex.org/I18193975","display_name":"SGH Warsaw School of Economics","ror":"https://ror.org/032cph770","country_code":"PL","type":"education","lineage":["https://openalex.org/I18193975"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Ryszard Szupiluk","raw_affiliation_strings":["Warsaw School of Economics, Poland"],"affiliations":[{"raw_affiliation_string":"Warsaw School of Economics, Poland","institution_ids":["https://openalex.org/I18193975"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073757727"],"corresponding_institution_ids":["https://openalex.org/I18193975"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.4247383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.8985000252723694,"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":0.8985000252723694,"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":0.03840000182390213,"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/T14319","display_name":"Currency Recognition and Detection","score":0.0032999999821186066,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.5996000170707703},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.5648000240325928},{"id":"https://openalex.org/keywords/turning-point","display_name":"Turning point","score":0.5034000277519226},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48739999532699585},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4869999885559082},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.391400009393692},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.3425999879837036},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.33390000462532043}],"concepts":[{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.5996000170707703},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.5648000240325928},{"id":"https://openalex.org/C3018122192","wikidata":"https://www.wikidata.org/wiki/Q569250","display_name":"Turning point","level":3,"score":0.5034000277519226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4961000084877014},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.49570000171661377},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48739999532699585},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4869999885559082},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.391400009393692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36390000581741333},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.3425999879837036},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.33390000462532043},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.3319000005722046},{"id":"https://openalex.org/C2988984586","wikidata":"https://www.wikidata.org/wiki/Q1020013","display_name":"Stock price","level":3,"score":0.32839998602867126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3034000098705292},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.29679998755455017},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2937999963760376},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2867000102996826},{"id":"https://openalex.org/C114118609","wikidata":"https://www.wikidata.org/wiki/Q3036837","display_name":"Market data","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C175706884","wikidata":"https://www.wikidata.org/wiki/Q1130194","display_name":"Moving average","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C86637286","wikidata":"https://www.wikidata.org/wiki/Q7317264","display_name":"Rate of return","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.266400009393692},{"id":"https://openalex.org/C3020136221","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time sequence","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2531000077724457}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.62036/isd.2025.77","is_oa":true,"landing_page_url":"https://doi.org/10.62036/isd.2025.77","pdf_url":"https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1756&context=isd2014","source":{"id":"https://openalex.org/S4404677940","display_name":"Proceedings of the International Conference on Information Systems Development","issn_l":"2938-5202","issn":["2938-5202"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Information Systems Development","raw_type":"proceedings-article"},{"id":"pmh:oai:aisel.aisnet.org:isd2014-1756","is_oa":false,"landing_page_url":"https://aisel.aisnet.org/isd2014/proceedings2025/datascience/47","pdf_url":null,"source":{"id":"https://openalex.org/S30879505","display_name":"Journal of the Association for Information Systems","issn_l":"1536-9323","issn":["1536-9323"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310321080","host_organization_name":"Association for Information Systems","host_organization_lineage":["https://openalex.org/P4310321080"],"host_organization_lineage_names":["Association for Information Systems"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the International Conference on Information Systems Development (ISD)","raw_type":"text"}],"best_oa_location":{"id":"doi:10.62036/isd.2025.77","is_oa":true,"landing_page_url":"https://doi.org/10.62036/isd.2025.77","pdf_url":"https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1756&context=isd2014","source":{"id":"https://openalex.org/S4404677940","display_name":"Proceedings of the International Conference on Information Systems Development","issn_l":"2938-5202","issn":["2938-5202"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Information Systems Development","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416382348.pdf","grobid_xml":"https://content.openalex.org/works/W4416382348.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"A":[0],"turning":[1,92],"point":[2],"in":[3,34,54],"the":[4,8,11,30,35,52,55,96],"stock":[5,12,36,85],"market":[6,53,86],"is":[7,20],"moment":[9],"when":[10],"price":[13],"time":[14],"series":[15],"changes":[16],"direction.":[17],"Its":[18],"identification":[19],"important":[21],"both":[22],"for":[23,29],"economic":[24],"theory":[25],"and,":[26],"above":[27],"all,":[28],"practice":[31],"of":[32,51,57,62,112],"investing":[33],"market.":[37],"In":[38],"this":[39],"article,":[40],"we":[41,82,109],"propose":[42],"a":[43,48],"new":[44],"concept,":[45],"based":[46],"on":[47,98],"broad":[49],"representation":[50],"form":[56],"heat":[58],"maps":[59],"visualizing":[60],"histograms":[61],"return":[63],"rates.":[64],"We":[65,94],"then":[66],"use":[67],"convolution":[68],"neural":[69],"networks":[70],"(CNN)":[71],"to":[72,114],"process":[73],"these":[74],"images.":[75],"By":[76],"extracting":[77],"and":[78,88],"analyzing":[79],"image-based":[80],"features,":[81],"can":[83],"classify":[84],"events":[87],"effectively":[89],"detect":[90],"potential":[91],"points.":[93],"conduct":[95],"study":[97],"4":[99],"datasets,":[100],"verifying":[101],"9":[102],"CNN":[103],"architectures.":[104],"The":[105],"results":[106],"are":[107],"promising,":[108],"achieved":[110],"accuracy":[111],"up":[113],"97%.":[115]},"counts_by_year":[],"updated_date":"2026-03-07T13:37:22.277990","created_date":"2025-11-19T00:00:00"}
