{"id":"https://openalex.org/W3114598484","doi":"https://doi.org/10.1109/access.2020.3047138","title":"A Decision Support System for Trading in Apple Futures Market Using Predictions Fusion","display_name":"A Decision Support System for Trading in Apple Futures Market Using Predictions Fusion","publication_year":2020,"publication_date":"2020-12-24","ids":{"openalex":"https://openalex.org/W3114598484","doi":"https://doi.org/10.1109/access.2020.3047138","mag":"3114598484"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3047138","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3047138","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09306753.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09306753.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015371452","display_name":"Shangkun Deng","orcid":"https://orcid.org/0000-0002-6041-485X"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangkun Deng","raw_affiliation_strings":["College of Economics and Management, China Three Gorges University, Yichang, China"],"raw_orcid":"https://orcid.org/0000-0002-6041-485X","affiliations":[{"raw_affiliation_string":"College of Economics and Management, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036246340","display_name":"Xiaoru Huang","orcid":"https://orcid.org/0000-0002-5380-629X"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoru Huang","raw_affiliation_strings":["College of Economics and Management, China Three Gorges University, Yichang, China"],"raw_orcid":"https://orcid.org/0000-0002-5380-629X","affiliations":[{"raw_affiliation_string":"College of Economics and Management, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446922","display_name":"Jiahui Wang","orcid":"https://orcid.org/0000-0003-0285-6702"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Wang","raw_affiliation_strings":["College of Economics and Management, China Three Gorges University, Yichang, China"],"raw_orcid":"https://orcid.org/0000-0003-0285-6702","affiliations":[{"raw_affiliation_string":"College of Economics and Management, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhaohui Qin","orcid":"https://orcid.org/0000-0002-3252-7531"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohui Qin","raw_affiliation_strings":["College of Economics and Management, China Three Gorges University, Yichang, China"],"raw_orcid":"https://orcid.org/0000-0002-3252-7531","affiliations":[{"raw_affiliation_string":"College of Economics and Management, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001080870","display_name":"Zhe Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Fu","raw_affiliation_strings":["School of History, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9407-5916","affiliations":[{"raw_affiliation_string":"School of History, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101954390","display_name":"Aiming Wang","orcid":"https://orcid.org/0000-0002-0148-3361"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiming Wang","raw_affiliation_strings":["College of Economics and Management, China Three Gorges University, Yichang, China"],"raw_orcid":"https://orcid.org/0000-0002-0148-3361","affiliations":[{"raw_affiliation_string":"College of Economics and Management, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101523128","display_name":"Tianxiang Yang","orcid":"https://orcid.org/0000-0003-3619-7725"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tianxiang Yang","raw_affiliation_strings":["School of Creative Science and Engineering, Waseda University, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3619-7725","affiliations":[{"raw_affiliation_string":"School of Creative Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.8832,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.9142874,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"1271","last_page":"1285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.991599977016449,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9887999892234802,"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/futures-contract","display_name":"Futures contract","score":0.7570379376411438},{"id":"https://openalex.org/keywords/trading-strategy","display_name":"Trading strategy","score":0.6411268711090088},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6348813772201538},{"id":"https://openalex.org/keywords/algorithmic-trading","display_name":"Algorithmic trading","score":0.5984735488891602},{"id":"https://openalex.org/keywords/high-frequency-trading","display_name":"High-frequency trading","score":0.5957199335098267},{"id":"https://openalex.org/keywords/pairs-trade","display_name":"Pairs trade","score":0.4935528039932251},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.49081000685691833},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.48359984159469604},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.46721211075782776},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4565344750881195},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.4559202790260315},{"id":"https://openalex.org/keywords/alternative-trading-system","display_name":"Alternative trading system","score":0.32753825187683105},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3162253499031067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30835211277008057},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2585645318031311},{"id":"https://openalex.org/keywords/financial-economics","display_name":"Financial economics","score":0.20659750699996948},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.19660180807113647},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.14606547355651855},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08936935663223267}],"concepts":[{"id":"https://openalex.org/C106306483","wikidata":"https://www.wikidata.org/wiki/Q183984","display_name":"Futures contract","level":2,"score":0.7570379376411438},{"id":"https://openalex.org/C131562839","wikidata":"https://www.wikidata.org/wiki/Q1574928","display_name":"Trading strategy","level":2,"score":0.6411268711090088},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6348813772201538},{"id":"https://openalex.org/C78508483","wikidata":"https://www.wikidata.org/wiki/Q139445","display_name":"Algorithmic trading","level":2,"score":0.5984735488891602},{"id":"https://openalex.org/C24683644","wikidata":"https://www.wikidata.org/wiki/Q138372","display_name":"High-frequency trading","level":3,"score":0.5957199335098267},{"id":"https://openalex.org/C158876240","wikidata":"https://www.wikidata.org/wiki/Q17105131","display_name":"Pairs trade","level":4,"score":0.4935528039932251},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.49081000685691833},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.48359984159469604},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.46721211075782776},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4565344750881195},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.4559202790260315},{"id":"https://openalex.org/C172428447","wikidata":"https://www.wikidata.org/wiki/Q438711","display_name":"Alternative trading system","level":3,"score":0.32753825187683105},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3162253499031067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30835211277008057},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2585645318031311},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.20659750699996948},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.19660180807113647},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.14606547355651855},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08936935663223267}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3047138","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3047138","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09306753.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d7a955f91e534845b20e34edd85baf48","is_oa":true,"landing_page_url":"https://doaj.org/article/d7a955f91e534845b20e34edd85baf48","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 1271-1285 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3047138","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3047138","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09306753.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1399231978","display_name":null,"funder_award_id":"19BGL131","funder_id":"https://openalex.org/F4320327557","funder_display_name":"National Office for Philosophy and Social Sciences"},{"id":"https://openalex.org/G2370122039","display_name":null,"funder_award_id":"19BGL131","funder_id":"https://openalex.org/F4320335869","funder_display_name":"National Social Science Fund of China"}],"funders":[{"id":"https://openalex.org/F4320327557","display_name":"National Office for Philosophy and Social Sciences","ror":"https://ror.org/04m0ms912"},{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3114598484.pdf","grobid_xml":"https://content.openalex.org/works/W3114598484.grobid-xml"},"referenced_works_count":79,"referenced_works":["https://openalex.org/W100985474","https://openalex.org/W1034347548","https://openalex.org/W1554663460","https://openalex.org/W1896657160","https://openalex.org/W1898724844","https://openalex.org/W1964191084","https://openalex.org/W1965832618","https://openalex.org/W1978514359","https://openalex.org/W1981584755","https://openalex.org/W1984315581","https://openalex.org/W1991627876","https://openalex.org/W1996984227","https://openalex.org/W2006354011","https://openalex.org/W2013722099","https://openalex.org/W2015588326","https://openalex.org/W2017114519","https://openalex.org/W2025053102","https://openalex.org/W2025357764","https://openalex.org/W2031820816","https://openalex.org/W2032411249","https://openalex.org/W2038403313","https://openalex.org/W2038530011","https://openalex.org/W2049916782","https://openalex.org/W2064961783","https://openalex.org/W2068716283","https://openalex.org/W2073790468","https://openalex.org/W2076811052","https://openalex.org/W2091621250","https://openalex.org/W2103143596","https://openalex.org/W2103501887","https://openalex.org/W2151613183","https://openalex.org/W2152195021","https://openalex.org/W2153580489","https://openalex.org/W2262446363","https://openalex.org/W2268394201","https://openalex.org/W2279808357","https://openalex.org/W2286146989","https://openalex.org/W2295598076","https://openalex.org/W2404973603","https://openalex.org/W2424394587","https://openalex.org/W2481243666","https://openalex.org/W2513171930","https://openalex.org/W2515056294","https://openalex.org/W2543580944","https://openalex.org/W2738064329","https://openalex.org/W2765852683","https://openalex.org/W2775666559","https://openalex.org/W2792836263","https://openalex.org/W2792986592","https://openalex.org/W2793498167","https://openalex.org/W2890746145","https://openalex.org/W2895269073","https://openalex.org/W2900807307","https://openalex.org/W2907508577","https://openalex.org/W2911964244","https://openalex.org/W2950884271","https://openalex.org/W2963918665","https://openalex.org/W2964081769","https://openalex.org/W2964471674","https://openalex.org/W2966440827","https://openalex.org/W2970568991","https://openalex.org/W2989826938","https://openalex.org/W2995703832","https://openalex.org/W3000225415","https://openalex.org/W3005324591","https://openalex.org/W3013317867","https://openalex.org/W3023333792","https://openalex.org/W3023540311","https://openalex.org/W3047659929","https://openalex.org/W3049309800","https://openalex.org/W3049415220","https://openalex.org/W3083252136","https://openalex.org/W3096806310","https://openalex.org/W3097951142","https://openalex.org/W3102476541","https://openalex.org/W3152356936","https://openalex.org/W6639944401","https://openalex.org/W6682448884","https://openalex.org/W6825493932"],"related_works":["https://openalex.org/W4226227859","https://openalex.org/W2392556764","https://openalex.org/W4399587225","https://openalex.org/W2461261851","https://openalex.org/W2785550510","https://openalex.org/W1552949382","https://openalex.org/W3209680969","https://openalex.org/W2342829690","https://openalex.org/W2947561447","https://openalex.org/W2248263857"],"abstract_inverted_index":{"In":[0,24,80],"the":[1,13,48,67,102,114,126,129,135,140,146,151,172,176,194],"last":[2],"decade,":[3],"High-Frequency":[4],"Trading":[5],"(HFT)":[6],"has":[7,17],"become":[8],"a":[9,63,107],"popular":[10],"issue":[11],"in":[12,86,113,154,190],"futures":[14,36],"market,":[15],"which":[16],"attracted":[18],"much":[19],"attention":[20],"from":[21,51,171],"numerous":[22],"researchers.":[23],"this":[25],"study,":[26],"an":[27],"intelligent":[28],"decision":[29,181],"support":[30,182],"system":[31],"is":[32,111,122],"proposed":[33,147,177],"for":[34,55,186],"apple":[35,195],"high-frequency":[37,191],"trading.":[38],"First,":[39],"three":[40],"eXtreme":[41],"Gradient":[42],"Boosting":[43],"(XGBoost)":[44],"based":[45,61],"models":[46],"use":[47],"feature":[49],"inputs":[50],"multiple":[52],"time":[53,87],"scales":[54],"return":[56],"and":[57,71,75,88,97,183],"direction":[58,104,157],"prediction.":[59],"Then,":[60],"on":[62],"pre-designed":[64],"trading":[65,115,130,192],"rule,":[66],"signals":[68],"of":[69,128,156,193],"long":[70],"short-selling":[72],"are":[73,78],"determined,":[74],"corresponding":[76],"transactions":[77],"executed.":[79],"order":[81],"to":[82,89,124],"retain":[83],"considerable":[84],"profits":[85],"avoid":[90],"serious":[91],"losses":[92],"possibly":[93],"caused":[94],"by":[95],"sudden":[96],"huge":[98],"price":[99],"changes":[100],"toward":[101],"opposite":[103],"as":[105,132,134,162,164],"predictions,":[106],"position":[108],"closing":[109],"function":[110],"implemented":[112],"rule.":[116],"Meanwhile,":[117],"Particle":[118],"Swarm":[119],"Optimization":[120],"(PSO)":[121],"employed":[123],"optimize":[125],"parameters":[127],"rule":[131],"well":[133,163],"XGBoost":[136],"parameters.":[137],"By":[138],"evaluating":[139],"experimental":[141,173],"results,":[142],"we":[143],"observed":[144],"that":[145,175],"approach":[148,178],"successfully":[149],"achieved":[150],"best":[152],"performance":[153],"terms":[155],"prediction":[158],"accuracy,":[159],"transaction":[160],"returns,":[161],"return/risk":[165],"ratio.":[166],"It":[167],"could":[168,179],"be":[169],"inferred":[170],"results":[174],"provide":[180],"beneficial":[184],"reference":[185],"market":[187],"traders":[188],"involved":[189],"futures.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
