{"id":"https://openalex.org/W4388950974","doi":"https://doi.org/10.1109/icccnt56998.2023.10307212","title":"Stock Price Prediction Using LSTM","display_name":"Stock Price Prediction Using LSTM","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388950974","doi":"https://doi.org/10.1109/icccnt56998.2023.10307212"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10307212","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10307212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5020140181","display_name":"Yash Pal Sharma","orcid":"https://orcid.org/0000-0003-3268-5588"},"institutions":[{"id":"https://openalex.org/I155125381","display_name":"Galgotias University","ror":"https://ror.org/02w8ba206","country_code":"IN","type":"education","lineage":["https://openalex.org/I155125381"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Yash Sharma","raw_affiliation_strings":["Galgotias University,School of Computing Science and Engineering,Greater Noida,Uttar Pradesh,India"],"affiliations":[{"raw_affiliation_string":"Galgotias University,School of Computing Science and Engineering,Greater Noida,Uttar Pradesh,India","institution_ids":["https://openalex.org/I155125381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101758686","display_name":"Ankit Kumar","orcid":"https://orcid.org/0000-0002-3061-1350"},"institutions":[{"id":"https://openalex.org/I155125381","display_name":"Galgotias University","ror":"https://ror.org/02w8ba206","country_code":"IN","type":"education","lineage":["https://openalex.org/I155125381"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ankit Kumar","raw_affiliation_strings":["Galgotias University,School of Computing Science and Engineering,Greater Noida,Uttar Pradesh,India"],"affiliations":[{"raw_affiliation_string":"Galgotias University,School of Computing Science and Engineering,Greater Noida,Uttar Pradesh,India","institution_ids":["https://openalex.org/I155125381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102582873","display_name":"Varun Dubey","orcid":null},"institutions":[{"id":"https://openalex.org/I155125381","display_name":"Galgotias University","ror":"https://ror.org/02w8ba206","country_code":"IN","type":"education","lineage":["https://openalex.org/I155125381"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Varun Dubey","raw_affiliation_strings":["Galgotias University,School of Computing Science and Engineering,Greater Noida,Uttar Pradesh,India"],"affiliations":[{"raw_affiliation_string":"Galgotias University,School of Computing Science and Engineering,Greater Noida,Uttar Pradesh,India","institution_ids":["https://openalex.org/I155125381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004553293","display_name":"Vipin Rai","orcid":"https://orcid.org/0000-0002-9911-0191"},"institutions":[{"id":"https://openalex.org/I155125381","display_name":"Galgotias University","ror":"https://ror.org/02w8ba206","country_code":"IN","type":"education","lineage":["https://openalex.org/I155125381"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vipin Rai","raw_affiliation_strings":["Galgotias University,School of Computing Science and Engineering,Greater Noida,Uttar Pradesh,India"],"affiliations":[{"raw_affiliation_string":"Galgotias University,School of Computing Science and Engineering,Greater Noida,Uttar Pradesh,India","institution_ids":["https://openalex.org/I155125381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020140181"],"corresponding_institution_ids":["https://openalex.org/I155125381"],"apc_list":null,"apc_paid":null,"fwci":0.5094,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70300939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"10","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":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/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9944000244140625,"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/T11918","display_name":"Forecasting Techniques and Applications","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"}}],"keywords":[{"id":"https://openalex.org/keywords/stock-market-prediction","display_name":"Stock market prediction","score":0.6868894100189209},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.6598038673400879},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.5627763867378235},{"id":"https://openalex.org/keywords/brainstorming","display_name":"Brainstorming","score":0.5191332697868347},{"id":"https://openalex.org/keywords/stock-price","display_name":"Stock price","score":0.4532887935638428},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.44943487644195557},{"id":"https://openalex.org/keywords/financial-economics","display_name":"Financial economics","score":0.40896281599998474},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3758852183818817},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.35021454095840454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.307697594165802},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0722987949848175}],"concepts":[{"id":"https://openalex.org/C2776256503","wikidata":"https://www.wikidata.org/wiki/Q7617906","display_name":"Stock market prediction","level":4,"score":0.6868894100189209},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.6598038673400879},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.5627763867378235},{"id":"https://openalex.org/C150672426","wikidata":"https://www.wikidata.org/wiki/Q191183","display_name":"Brainstorming","level":2,"score":0.5191332697868347},{"id":"https://openalex.org/C2988984586","wikidata":"https://www.wikidata.org/wiki/Q1020013","display_name":"Stock price","level":3,"score":0.4532887935638428},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.44943487644195557},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.40896281599998474},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3758852183818817},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.35021454095840454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.307697594165802},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0722987949848175},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.0},{"id":"https://openalex.org/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10307212","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10307212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2952723729","https://openalex.org/W3006515935","https://openalex.org/W3032527122","https://openalex.org/W3048630347","https://openalex.org/W3081799531","https://openalex.org/W4206204824","https://openalex.org/W4309582920","https://openalex.org/W6796968871"],"related_works":["https://openalex.org/W2586556113","https://openalex.org/W2370669686","https://openalex.org/W3135178882","https://openalex.org/W2542516223","https://openalex.org/W247222457","https://openalex.org/W2624043242","https://openalex.org/W1488120909","https://openalex.org/W3124131549","https://openalex.org/W3008476150","https://openalex.org/W3209908847"],"abstract_inverted_index":{"We":[0],"all":[1],"know":[2],"that":[3],"the":[4,46,60,68,72,78,83,97,100,103,107],"stock":[5,29,64,89],"market":[6,11,65,90],"is":[7,43,55],"a":[8],"very":[9,56],"difficult":[10,57],"for":[12],"investment":[13],"and":[14,35,93],"needs":[15],"strong":[16],"brainstorming":[17],"before":[18],"one":[19,44],"shall":[20],"start":[21],"investing":[22],"money":[23],"in":[24],"it.":[25],"The":[26,95],"field":[27],"of":[28,38,45,49,51,63,67,71,88,99,106],"price":[30,62],"analysis":[31],"requires":[32],"immense":[33],"research":[34],"deep":[36],"knowledge":[37],"finance.":[39],"Stock":[40],"Market":[41],"Analysis":[42],"leading":[47],"use":[48],"fundamentals":[50],"machine":[52],"learning.":[53],"[1]It":[54],"to":[58,81],"find":[59],"future":[61],"because":[66],"volatile":[69],"nature":[70],"market.":[73],"Our":[74],"work":[75],"focuses":[76],"on":[77],"LSTM":[79],"model":[80],"predict":[82],"prices":[84],"using":[85],"strategic":[86],"parameters":[87],"like":[91],"RMSE":[92],"MAPE.":[94],"lower":[96],"values":[98],"parameter":[101],"shows":[102],"higher":[104],"accuracy":[105],"our":[108],"model.":[109]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}