{"id":"https://openalex.org/W2184481969","doi":null,"title":"Stock Market Forecasting Techniques: A Survey","display_name":"Stock Market Forecasting Techniques: A Survey","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2184481969","mag":"2184481969"},"language":"en","primary_location":{"id":"mag:2184481969","doi":null,"is_oa":false,"landing_page_url":"http://sciencepublication.org/ijast/documents/v2i3/7.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","indexed_in":[],"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/A5082632906","display_name":"Saarika Sharma","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saarika Sharma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023226815","display_name":"Meenal Chouhan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meenal Chouhan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5042818429","display_name":"Gian Jyoti","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gian Jyoti","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.3167,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.96411054,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"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":1.0,"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":1.0,"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":0.0,"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":0.0,"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-forecasting","display_name":"stock market prediction","score":0.9909999966621399},{"id":"https://openalex.org/keywords/technical-analysis","display_name":"technical analysis","score":0.8429999947547913},{"id":"https://openalex.org/keywords/machine-learning-algorithms","display_name":"machine learning algorithms","score":0.6679999828338623},{"id":"https://openalex.org/keywords/stock-price-prediction","display_name":"stock price prediction","score":0.8119999766349792},{"id":"https://openalex.org/keywords/day-trading","display_name":"day trading","score":0.8230000138282776},{"id":"https://openalex.org/keywords/market-trends","display_name":"market trends","score":0.5809999704360962},{"id":"https://openalex.org/keywords/historical-prices","display_name":"price history","score":0.8700000047683716}],"concepts":[{"id":"https://openalex.org/C117245426","wikidata":"https://www.wikidata.org/wiki/Q235038","display_name":"Technical analysis","level":2,"score":0.5958832502365112},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.5727605819702148},{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.5481033325195312},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.5307177305221558},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.4902646839618683},{"id":"https://openalex.org/C78508483","wikidata":"https://www.wikidata.org/wiki/Q139445","display_name":"Algorithmic trading","level":2,"score":0.4636600613594055},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3974461555480957},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3434752821922302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29773473739624023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2046782374382019},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13884776830673218},{"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/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2184481969","doi":null,"is_oa":false,"landing_page_url":"http://sciencepublication.org/ijast/documents/v2i3/7.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1025324079","https://openalex.org/W1966295073","https://openalex.org/W1998974347","https://openalex.org/W2120224355","https://openalex.org/W2160720093","https://openalex.org/W2790654100"],"related_works":["https://openalex.org/W4391697708","https://openalex.org/W4250584464","https://openalex.org/W3215642003","https://openalex.org/W2784496275","https://openalex.org/W2910987184","https://openalex.org/W4251964078","https://openalex.org/W4382811978","https://openalex.org/W3038920364","https://openalex.org/W4324137510","https://openalex.org/W4285317515"],"abstract_inverted_index":{"Day":[0],"trading":[1,40],"in":[2,28,84],"stocks":[3,49],"is":[4],"risky,":[5],"more":[6],"so":[7],"if":[8,13],"you":[9,14,22],"are":[10,82],"untrained.":[11],"However,":[12],"have":[15],"an":[16],"eye":[17],"for":[18],"spotting":[19],"market":[20,88],"trends,":[21],"can":[23],"make":[24],"a":[25,34,42,57],"neat":[26],"pile":[27],"quick":[29],"intra-day":[30],"deals.":[31],"There":[32],"was":[33,41],"time":[35],"not":[36],"long":[37],"ago":[38],"when":[39],"simple":[43],"game":[44],"of":[45,59,86],"buying":[46],"and":[47],"selling":[48],"based":[50],"on":[51],"one's":[52],"conviction.":[53],"Now,":[54],"technical":[55],"analysis-":[56],"science":[58],"predicting":[60],"future":[61],"prices":[62],"from":[63],"historical":[64],"price":[65],"data-has":[66],"given":[67],"investors":[68],"new":[69],"tools.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74],"will":[75],"review":[76],"common":[77],"machine":[78],"learning":[79],"algorithms":[80],"that":[81],"helpful":[83],"prediction":[85],"stock":[87],"analysis.":[89]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}