{"id":"https://openalex.org/W4391250751","doi":"https://doi.org/10.1109/ic3i59117.2023.10398001","title":"Understanding Stock Market Trends Using Simple Moving Average (SMA) and Exponential Moving Average (EMA) Indicators","display_name":"Understanding Stock Market Trends Using Simple Moving Average (SMA) and Exponential Moving Average (EMA) Indicators","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4391250751","doi":"https://doi.org/10.1109/ic3i59117.2023.10398001"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i59117.2023.10398001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i59117.2023.10398001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Contemporary Computing and Informatics (IC3I)","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/A5035051643","display_name":"Ananta Ojha","orcid":"https://orcid.org/0000-0001-7276-6329"},"institutions":[{"id":"https://openalex.org/I106826634","display_name":"Jain University","ror":"https://ror.org/01cnqpt53","country_code":"IN","type":"education","lineage":["https://openalex.org/I106826634"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ananta Ojha","raw_affiliation_strings":["College of Computing Sciences and Information Technology, Jain (deemed to be) University,Bangalore,Karnataka,India","College of Computing Sciences and Information Technology, Jain (deemed to be) University, Bangalore, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"College of Computing Sciences and Information Technology, Jain (deemed to be) University,Bangalore,Karnataka,India","institution_ids":["https://openalex.org/I106826634"]},{"raw_affiliation_string":"College of Computing Sciences and Information Technology, Jain (deemed to be) University, Bangalore, Karnataka, India","institution_ids":["https://openalex.org/I106826634"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009851482","display_name":"Ashendra Kumar Saxena","orcid":"https://orcid.org/0000-0002-8663-560X"},"institutions":[{"id":"https://openalex.org/I134705546","display_name":"Teerthanker Mahaveer University","ror":"https://ror.org/04vkd2013","country_code":"IN","type":"education","lineage":["https://openalex.org/I134705546"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vineet Saxena","raw_affiliation_strings":["College of Computing and Information Technology, Teerthanker Mahaveer University,Moradabad,Uttar Pradesh,India","College of Computing and Information Technology, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India"],"affiliations":[{"raw_affiliation_string":"College of Computing and Information Technology, Teerthanker Mahaveer University,Moradabad,Uttar Pradesh,India","institution_ids":["https://openalex.org/I134705546"]},{"raw_affiliation_string":"College of Computing and Information Technology, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India","institution_ids":["https://openalex.org/I134705546"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035051643"],"corresponding_institution_ids":["https://openalex.org/I106826634"],"apc_list":null,"apc_paid":null,"fwci":1.5127,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.84568147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1931","last_page":"1935"},"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9962999820709229,"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":0.9943000078201294,"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/moving-average","display_name":"Moving average","score":0.7781080603599548},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.7254801988601685},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5792895555496216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5708745718002319},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.5644705891609192},{"id":"https://openalex.org/keywords/financial-market","display_name":"Financial market","score":0.4820862114429474},{"id":"https://openalex.org/keywords/trading-strategy","display_name":"Trading strategy","score":0.4361906945705414},{"id":"https://openalex.org/keywords/stock-market-prediction","display_name":"Stock market prediction","score":0.42821425199508667},{"id":"https://openalex.org/keywords/algorithmic-trading","display_name":"Algorithmic trading","score":0.42316773533821106},{"id":"https://openalex.org/keywords/technical-analysis","display_name":"Technical analysis","score":0.4113914370536804},{"id":"https://openalex.org/keywords/financial-economics","display_name":"Financial economics","score":0.39829355478286743},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.30814409255981445},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.19924336671829224},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09818530082702637}],"concepts":[{"id":"https://openalex.org/C175706884","wikidata":"https://www.wikidata.org/wiki/Q1130194","display_name":"Moving average","level":2,"score":0.7781080603599548},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.7254801988601685},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5792895555496216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5708745718002319},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.5644705891609192},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.4820862114429474},{"id":"https://openalex.org/C131562839","wikidata":"https://www.wikidata.org/wiki/Q1574928","display_name":"Trading strategy","level":2,"score":0.4361906945705414},{"id":"https://openalex.org/C2776256503","wikidata":"https://www.wikidata.org/wiki/Q7617906","display_name":"Stock market prediction","level":4,"score":0.42821425199508667},{"id":"https://openalex.org/C78508483","wikidata":"https://www.wikidata.org/wiki/Q139445","display_name":"Algorithmic trading","level":2,"score":0.42316773533821106},{"id":"https://openalex.org/C117245426","wikidata":"https://www.wikidata.org/wiki/Q235038","display_name":"Technical analysis","level":2,"score":0.4113914370536804},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.39829355478286743},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.30814409255981445},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.19924336671829224},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09818530082702637},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i59117.2023.10398001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i59117.2023.10398001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1980836123","https://openalex.org/W1981531537","https://openalex.org/W1999233885","https://openalex.org/W2025053102","https://openalex.org/W2053615983","https://openalex.org/W2072809394","https://openalex.org/W2400770063","https://openalex.org/W3038920364","https://openalex.org/W3122961394","https://openalex.org/W3125462345","https://openalex.org/W3159148887","https://openalex.org/W4234968553","https://openalex.org/W4312173425","https://openalex.org/W4385172885"],"related_works":["https://openalex.org/W3195793285","https://openalex.org/W1863543693","https://openalex.org/W3165885989","https://openalex.org/W880995879","https://openalex.org/W2994104012","https://openalex.org/W2005233533","https://openalex.org/W4244220816","https://openalex.org/W2155646692","https://openalex.org/W4367394765","https://openalex.org/W2747966161"],"abstract_inverted_index":{"The":[0,48,81,94,111,129],"task":[1],"of":[2,12,29,56,62,89,96,109,149],"forecasting":[3],"stock":[4,34,91,123,151],"market":[5,35,42],"trends":[6],"is":[7,36,51,83],"widely":[8],"regarded":[9],"as":[10],"one":[11],"the":[13,24,33,54,60,63,73,86,90,97,146],"most":[14],"difficult":[15],"challenges":[16],"in":[17],"financial":[18,30,57],"time":[19],"series":[20],"analysis,":[21],"owing":[22],"to":[23,67,84,106,144],"dynamic":[25],"and":[26,44,77,127],"non-linear":[27],"nature":[28],"data.":[31],"Forecasting":[32],"an":[37],"essential":[38],"requirement":[39],"for":[40],"comprehending":[41],"patterns":[43],"devising":[45],"trading":[46,142],"strategies.":[47],"present":[49,64,130],"study":[50,131],"centred":[52],"on":[53],"examination":[55],"data":[58],"through":[59],"implementation":[61],"discourse":[65],"pertains":[66],"two":[68,121,136],"distinct":[69,122],"technical":[70],"indicators,":[71],"namely":[72,125],"simple":[74],"moving":[75,79,98],"average":[76,99],"exponential":[78],"average.":[80],"aim":[82],"predict":[85],"future":[87],"path":[88],"market's":[92],"movement.":[93],"utilization":[95],"approach":[100],"has":[101],"gained":[102],"widespread":[103],"acceptance":[104],"due":[105],"its":[107],"ease":[108],"implementation.":[110],"experiments":[112],"were":[113],"conducted":[114],"utilizing":[115],"a":[116,133],"five-year":[117],"historical":[118],"dataset":[119],"from":[120],"markets,":[124],"TCS":[126],"Apple.":[128],"draws":[132],"comparison":[134],"between":[135],"companies":[137],"by":[138],"analysing":[139],"their":[140,150],"respective":[141],"signals":[143],"infer":[145],"potential":[147],"movement":[148],"prices.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}