{"id":"https://openalex.org/W3209249686","doi":"https://doi.org/10.1109/icccnt51525.2021.9580172","title":"Technical Analysis Indicators in Stock Market Using Machine Learning: A Comparative Analysis","display_name":"Technical Analysis Indicators in Stock Market Using Machine Learning: A Comparative Analysis","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3209249686","doi":"https://doi.org/10.1109/icccnt51525.2021.9580172","mag":"3209249686"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt51525.2021.9580172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9580172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th 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/A5064212726","display_name":"Yash K. Pardeshi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088227","display_name":"MIT World Peace University","ror":"https://ror.org/004ymxd45","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210088227"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Yash K. Pardeshi","raw_affiliation_strings":["School of CET MITWPU, Pune, India"],"affiliations":[{"raw_affiliation_string":"School of CET MITWPU, Pune, India","institution_ids":["https://openalex.org/I4210088227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003007671","display_name":"Preeti A. Kale","orcid":"https://orcid.org/0000-0002-1571-9208"},"institutions":[{"id":"https://openalex.org/I4210088227","display_name":"MIT World Peace University","ror":"https://ror.org/004ymxd45","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210088227"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prof. Preeti Kale","raw_affiliation_strings":["School of CET MITWPU, Pune, India"],"affiliations":[{"raw_affiliation_string":"School of CET MITWPU, Pune, India","institution_ids":["https://openalex.org/I4210088227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064212726"],"corresponding_institution_ids":["https://openalex.org/I4210088227"],"apc_list":null,"apc_paid":null,"fwci":1.6101,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84274377,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9940000176429749,"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":0.9887999892234802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/technical-analysis","display_name":"Technical analysis","score":0.69560706615448},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6152632832527161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5937288999557495},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.557091236114502},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5563138723373413},{"id":"https://openalex.org/keywords/share-price","display_name":"Share price","score":0.5503940582275391},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.5155594348907471},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.512813150882721},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48937124013900757},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4505149722099304},{"id":"https://openalex.org/keywords/market-share","display_name":"Market share","score":0.43103379011154175},{"id":"https://openalex.org/keywords/stock-market-prediction","display_name":"Stock market prediction","score":0.4241594672203064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3956432640552521},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33077725768089294},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.2914074659347534},{"id":"https://openalex.org/keywords/stock-exchange","display_name":"Stock exchange","score":0.2503693401813507},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.249622642993927},{"id":"https://openalex.org/keywords/financial-economics","display_name":"Financial economics","score":0.24316561222076416},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.14869874715805054},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.11196604371070862}],"concepts":[{"id":"https://openalex.org/C117245426","wikidata":"https://www.wikidata.org/wiki/Q235038","display_name":"Technical analysis","level":2,"score":0.69560706615448},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6152632832527161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5937288999557495},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.557091236114502},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5563138723373413},{"id":"https://openalex.org/C2779538965","wikidata":"https://www.wikidata.org/wiki/Q1020013","display_name":"Share price","level":3,"score":0.5503940582275391},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.5155594348907471},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.512813150882721},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48937124013900757},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4505149722099304},{"id":"https://openalex.org/C16051113","wikidata":"https://www.wikidata.org/wiki/Q828814","display_name":"Market share","level":2,"score":0.43103379011154175},{"id":"https://openalex.org/C2776256503","wikidata":"https://www.wikidata.org/wiki/Q7617906","display_name":"Stock market prediction","level":4,"score":0.4241594672203064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3956432640552521},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33077725768089294},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2914074659347534},{"id":"https://openalex.org/C200870193","wikidata":"https://www.wikidata.org/wiki/Q11691","display_name":"Stock exchange","level":2,"score":0.2503693401813507},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.249622642993927},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.24316561222076416},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.14869874715805054},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.11196604371070862},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/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/icccnt51525.2021.9580172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9580172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1898724844","https://openalex.org/W1984685202","https://openalex.org/W2043398567","https://openalex.org/W2048775245","https://openalex.org/W2070672806","https://openalex.org/W2094007354","https://openalex.org/W2165383769","https://openalex.org/W2785336079","https://openalex.org/W2786688949","https://openalex.org/W2787624030","https://openalex.org/W2833425706","https://openalex.org/W2894449602","https://openalex.org/W2946975908","https://openalex.org/W2997193501","https://openalex.org/W3019706231","https://openalex.org/W3048630347","https://openalex.org/W3090987941"],"related_works":["https://openalex.org/W245583650","https://openalex.org/W2390496753","https://openalex.org/W2298930965","https://openalex.org/W2260424864","https://openalex.org/W4312069589","https://openalex.org/W3112116713","https://openalex.org/W2964813952","https://openalex.org/W2254470012","https://openalex.org/W2197145118","https://openalex.org/W2215388829"],"abstract_inverted_index":{"Stock":[0],"price":[1,22],"forecasting":[2],"is":[3,27,38,73],"a":[4],"very":[5,39],"interesting":[6],"topic":[7],"in":[8,63,106],"financial":[9],"studies.":[10],"Technical":[11],"analysis":[12,79],"indicators":[13,80],"are":[14],"mathematical":[15],"models/calculations":[16],"that":[17],"help":[18],"us":[19],"predict":[20],"stock":[21],"direction.":[23],"The":[24,67,104],"share":[25,36,42,65],"market":[26,37],"not":[28],"an":[29],"ideal":[30],"place":[31],"for":[32,119],"prediction":[33],"as":[34],"the":[35,64],"volatile":[40],"and":[41,102,111],"prices":[43],"keep":[44],"on":[45,48,123],"fluctuating":[46],"based":[47,122],"multiple":[49],"factors.":[50],"According":[51],"to":[52,74],"business":[53],"reports,":[54],"more":[55],"than":[56],"90-95%":[57],"of":[58,70,77],"traders":[59],"lose":[60],"their":[61],"money":[62],"market.":[66],"main":[68],"objective":[69],"this":[71,107],"work":[72,105],"apply":[75],"understanding":[76],"technical":[78],"like":[81],"RSI,":[82],"exponential":[83],"moving":[84],"averages,":[85],"Heiken":[86],"Ashi":[87],"candlesticks,":[88],"price-volume":[89],"analysis,":[90,96],"MACD,":[91],"decision":[92],"tree,":[93],"random":[94],"forest":[95],"Na\u00efve":[97],"Bayes":[98],"classifier,":[99],"neural":[100],"network":[101],"KNN.":[103],"research":[108],"paper":[109],"compares":[110],"analyses":[112],"short-term":[113],"profit":[114],"considering":[115],"5-year":[116],"data":[117],"(2015-2019)":[118],"high-traded":[120],"stocks":[121],"accuracy.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}