{"id":"https://openalex.org/W2784255137","doi":"https://doi.org/10.1109/uemcon.2017.8248984","title":"Artificial Swarm Intelligence amplifies accuracy when predicting financial markets","display_name":"Artificial Swarm Intelligence amplifies accuracy when predicting financial markets","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2784255137","doi":"https://doi.org/10.1109/uemcon.2017.8248984","mag":"2784255137"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon.2017.8248984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2017.8248984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","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/A5065607545","display_name":"Louis Rosenberg","orcid":"https://orcid.org/0000-0003-3457-1429"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Louis Rosenberg","raw_affiliation_strings":["Unanimous A.I., San Francisco, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unanimous A.I., San Francisco, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064735018","display_name":"Niccol\u00f2 Pescetelli","orcid":"https://orcid.org/0000-0002-8826-2202"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niccolo Pescetelli","raw_affiliation_strings":["Unanimous A.I., San Francisco, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unanimous A.I., San Francisco, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050705257","display_name":"Gregg Willcox","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gregg Willcox","raw_affiliation_strings":["Unanimous A.I., San Francisco, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unanimous A.I., San Francisco, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0309,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.93994803,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"58","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.972000002861023,"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":0.972000002861023,"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":0.9650999903678894,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.6898069977760315},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.6541082262992859},{"id":"https://openalex.org/keywords/financial-market","display_name":"Financial market","score":0.574516236782074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.526881992816925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49888014793395996},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4700179398059845},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4512532949447632},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45119401812553406},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3848983645439148},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.3796355128288269},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.24995145201683044},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.16475093364715576}],"concepts":[{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.6898069977760315},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.6541082262992859},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.574516236782074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.526881992816925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49888014793395996},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4700179398059845},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4512532949447632},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45119401812553406},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3848983645439148},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.3796355128288269},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.24995145201683044},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.16475093364715576},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon.2017.8248984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2017.8248984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1989764987","https://openalex.org/W2094111527","https://openalex.org/W2103015066","https://openalex.org/W2136582516","https://openalex.org/W2161650405","https://openalex.org/W2329155900","https://openalex.org/W2549577419","https://openalex.org/W2564801040","https://openalex.org/W2963558290","https://openalex.org/W6702018440"],"related_works":["https://openalex.org/W4308079021","https://openalex.org/W1527337688","https://openalex.org/W2399799070","https://openalex.org/W2048054807","https://openalex.org/W2746377055","https://openalex.org/W4386001959","https://openalex.org/W2594296178","https://openalex.org/W3089846858","https://openalex.org/W3012322385","https://openalex.org/W4304182880"],"abstract_inverted_index":{"Across":[0],"the":[1,27,31,80,162,167],"natural":[2,69],"world,":[3],"many":[4],"species":[5],"have":[6],"evolved":[7],"methods":[8],"for":[9],"amplifying":[10],"their":[11,57,115,118],"decision-making":[12],"accuracy":[13,109,119,137,168],"by":[14,63,157],"thinking":[15],"together":[16,124],"in":[17,26,37,134],"real-time":[18,126,153],"closed-loop":[19],"systems.":[20],"Known":[21],"as":[22,125],"Swarm":[23],"Intelligence":[24],"(SI)":[25],"field":[28],"of":[29,39,42,46,73,83,97,149,169],"biology,":[30],"process":[32],"has":[33,161],"been":[34],"deeply":[35],"studied":[36],"schools":[38],"fish,":[40],"flocks":[41],"bird,":[43],"and":[44,55,91,138],"swarms":[45],"bees.":[47],"The":[48],"present":[49],"research":[50],"looks":[51],"at":[52],"human":[53],"groups":[54,72,148],"tests":[56],"ability":[58],"to":[59,120,151,164],"make":[60],"financial":[61,74,135,170],"predictions":[62],"forming":[64],"online":[65],"systems":[66,154],"modeled":[67],"after":[68],"swarms.":[70,127],"Specifically,":[71],"traders":[75,150],"were":[76],"tasked":[77],"with":[78],"predicting":[79,111,123],"weekly":[81,112],"trends":[82,113],"four":[84],"common":[85],"market":[86],"indices":[87],"(SPX,":[88],"GLD,":[89],"GDX,":[90],"Crude":[92],"Oil)":[93],"over":[94],"a":[95,131],"period":[96],"14":[98],"consecutive":[99],"weeks.":[100],"Results":[101],"showed":[102],"that":[103,146],"individual":[104],"participants,":[105],"who":[106],"averaged":[107],"61%":[108],"when":[110,122],"on":[114],"own,":[116],"amplified":[117],"77%":[121],"These":[128],"results":[129],"reflect":[130],"26%":[132],"increase":[133,166],"prediction":[136],"show":[139],"high":[140],"statistical":[141],"significance":[142],"(p=0.001).":[143],"This":[144],"suggests":[145],"enabling":[147],"form":[152],"online,":[155],"governed":[156],"swarm":[158],"intelligence":[159],"algorithms,":[160],"potential":[163],"significantly":[165],"forecasts.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
