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Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM)

BACKGROUND: Stock market process is full of uncertainty; hence stock prices forecasting very important in finance and business. For stockbrokers, understanding trends and supported by prediction software for forecasting is very important for decision making. This paper proposes a data science model...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:J Big Data
1. Verfasser: Budiharto, Widodo
Format: Artigo
Sprache:Inglês
Veröffentlicht: Springer International Publishing 2021
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7948653/
https://ncbi.nlm.nih.gov/pubmed/33723498
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40537-021-00430-0
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