{"id":"https://openalex.org/W4417102794","doi":"https://doi.org/10.1145/3770854.3785689","title":"FinWorld: An All-in-One Open-Source Platform for End-to-End Financial AI Research and Deployment","display_name":"FinWorld: An All-in-One Open-Source Platform for End-to-End Financial AI Research and Deployment","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W4417102794","doi":"https://doi.org/10.1145/3770854.3785689"},"language":"en","primary_location":{"id":"doi:10.1145/3770854.3785689","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770854.3785689","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3770854.3785689","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100459875","display_name":"Wentao Zhang","orcid":"https://orcid.org/0000-0003-4087-7280"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wentao Zhang","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore and Skywork AI, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0009-0008-2767-6998","affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore and Skywork AI, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079289838","display_name":"Yi\u2010Lei Zhao","orcid":"https://orcid.org/0000-0003-4687-7847"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yilei Zhao","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0009-0009-4226-1456","affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120718469","display_name":"Chuqiao Zong","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chuqiao Zong","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0009-0007-0107-4211","affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049783685","display_name":"Xinrun Wang","orcid":"https://orcid.org/0000-0003-3369-219X"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xinrun Wang","raw_affiliation_strings":["Singapore Management University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-3369-219X","affiliations":[{"raw_affiliation_string":"Singapore Management University, Singapore, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017743551","display_name":"Bo An","orcid":"https://orcid.org/0000-0002-7064-7438"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bo An","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore and Skywork AI, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-7064-7438","affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore and Skywork AI, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01804124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2890","last_page":"2900"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.8321999907493591,"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":0.8321999907493591,"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":0.035999998450279236,"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/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.016100000590085983,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6608999967575073},{"id":"https://openalex.org/keywords/portfolio","display_name":"Portfolio","score":0.5895000100135803},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5139999985694885},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5019999742507935},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4345000088214874},{"id":"https://openalex.org/keywords/market-data","display_name":"Market data","score":0.35910001397132874},{"id":"https://openalex.org/keywords/financial-market","display_name":"Financial market","score":0.3589000105857849}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6651999950408936},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6608999967575073},{"id":"https://openalex.org/C2780821815","wikidata":"https://www.wikidata.org/wiki/Q5340806","display_name":"Portfolio","level":2,"score":0.5895000100135803},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5139999985694885},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5019999742507935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4447000026702881},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4345000088214874},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.367900013923645},{"id":"https://openalex.org/C114118609","wikidata":"https://www.wikidata.org/wiki/Q3036837","display_name":"Market data","level":2,"score":0.35910001397132874},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.3589000105857849},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35040000081062317},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.3346000015735626},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C139043278","wikidata":"https://www.wikidata.org/wiki/Q837171","display_name":"Financial services","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C105002631","wikidata":"https://www.wikidata.org/wiki/Q4833645","display_name":"Subject-matter expert","level":3,"score":0.2904999852180481},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.2655999958515167},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.263700008392334},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2517000138759613}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3770854.3785689","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770854.3785689","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/215436","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/215436","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Conference Paper"},{"id":"pmh:oai:arXiv.org:2508.02292","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.02292","pdf_url":"https://arxiv.org/pdf/2508.02292","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2508.02292","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.02292","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1145/3770854.3785689","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770854.3785689","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Financial":[0],"AI":[1,77,100,135],"holds":[2],"great":[3],"promise":[4],"for":[5,47,73,98,153,178],"transforming":[6],"modern":[7],"finance,":[8],"with":[9,147],"the":[10,48,74],"potential":[11],"to":[12,59,82],"support":[13,46,72,97],"a":[14,175],"wide":[15],"range":[16],"of":[17,52,92],"tasks":[18],"such":[19],"as":[20],"market":[21],"forecasting,":[22],"portfolio":[23],"management,":[24],"quantitative":[25],"trading,":[26],"and":[27,43,50,84,102,109,120,143,155,170,181,186,194],"automated":[28],"analysis.":[29],"However,":[30],"existing":[31],"platforms":[32],"remain":[33],"limited":[34],"in":[35],"task":[36],"coverage,":[37],"lack":[38],"robust":[39],"multimodal":[40],"data":[41,80,112,125],"integration,":[42],"offer":[44],"insufficient":[45],"training":[49],"deployment":[51],"large":[53],"language":[54],"models":[55],"(LLMs).":[56],"In":[57],"response":[58],"these":[60],"limitations,":[61],"we":[62,127],"present":[63],"FinWorld,":[64],"an":[65],"all-in-one":[66],"open-source":[67],"platform":[68],"that":[69,162],"provides":[70],"end-to-end":[71],"entire":[75],"financial":[76,94,124,134],"workflow,":[78],"from":[79,113],"acquisition":[81],"experimentation":[83],"deployment.":[85,110],"FinWorld":[86,163],"distinguishes":[87],"itself":[88],"through":[89],"native":[90],"integration":[91],"heterogeneous":[93],"data,":[95],"unified":[96],"diverse":[99],"paradigms,":[101],"advanced":[103],"agent":[104],"automation,":[105],"enabling":[106],"seamless":[107],"development":[108],"Leveraging":[111],"2":[114],"representative":[115],"markets,":[116],"4":[117,132],"stock":[118],"pools,":[119],"over":[121],"800":[122],"million":[123],"points,":[126],"conduct":[128],"comprehensive":[129],"experiments":[130,138],"on":[131,150],"key":[133],"tasks.":[136],"These":[137],"systematically":[139],"evaluate":[140],"deep":[141],"learning":[142,145],"reinforcement":[144],"algorithms,":[146],"particular":[148],"emphasis":[149],"RL-based":[151],"finetuning":[152],"LLMs":[154],"LLM":[156],"Agents.":[157],"The":[158],"empirical":[159],"results":[160],"demonstrate":[161],"significantly":[164],"enhances":[165],"reproducibility,":[166],"supports":[167],"transparent":[168],"benchmarking,":[169],"streamlines":[171],"deployment,":[172],"thereby":[173],"providing":[174],"strong":[176],"foundation":[177],"future":[179],"research":[180],"real-world":[182],"applications.":[183],"Code,":[184],"tutorials,":[185],"paper":[187],"full":[188],"version":[189],"are":[190],"available":[191],"at":[192],"Github":[193],"Arxiv":[195],"https://github.com/DVampire/FinWorld.":[196],"https://arxiv.org/abs/2508.02292.":[197]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
