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1 Ergebnisse
1
Exploring Candlesticks and Multi-Time Windows for Forecasti..:
, In:
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
,
Seo, Kanghyeon
;
Yang, Jihoon
- p. 1100-1109 , 2023
Link:
https://dl.acm.org/doi/10.1145/3555776.3577604
RT T1 <cTitle>Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing</cTitle>: T1 <Title>Exploring Candlesticks and Multi-Time Windows for Forecasting Stock-Index Movements</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3577604&Exemplar=1&LAN=DE A1 Seo, Kanghyeon A1 Yang, Jihoon PB ACM YR 2023 K1 stock-index prediction K1 FinTech K1 deep learning K1 candlestick chart K1 multi-time windows K1 Applied computing K1 Operations research K1 Forecasting K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 1100 OP 1109 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3555776.3577604 DO https://dl.acm.org/doi/10.1145/3555776.3577604 SF ELIB - SuUB Bremen
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