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eNauka >  Results >  Predicting Stock Trends Using Common Financial Indicators: A Summary of FedCSIS 2024 Data Science Challenge Held on KnowledgePit.ai Platform
Title: Predicting Stock Trends Using Common Financial Indicators: A Summary of FedCSIS 2024 Data Science Challenge Held on KnowledgePit.ai Platform
Authors: Rakićević, Aleksandar  ; Milošević, Pavle  ; Dragović, Ivana  ; Poledica, Ana  ; Zukanović, Milica  ; Janusz, Andrzej; Ślęzak, Dominik
Issue Date: 2024
Publication: 2024 19th Conference on Computer Science and Intelligence Systems (FedCSIS)
ISSN: 2300-5963 Search Idenfier
Type: Conference Paper
Collation: vol. 39 str. 731-737
DOI: 10.15439/2024F7912
WoS-ID: 001413201600091
Scopus-ID: 2-s2.0-85212300978
URI: https://enauka.gov.rs/handle/123456789/946273
https://rfos.fon.bg.ac.rs/handle/123456789/2811
Project: SENSEI project co-financed by EU Smart Growth Operational Programme 2014–2020 under GameINN project POIR.01.02.00-00-0184/17-00.
University of Belgrade – Faculty of Organizational Sciences and Ministry of Science, Technological Development, and Innovation of the Republic of Serbia, institutional funding, Grant no. 200151.
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