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

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

Abstract 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 scienc...

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Bibliographic Details
Main Author: Widodo Budiharto
Format: Article
Language:English
Published: SpringerOpen 2021-03-01
Series:Journal of Big Data
Subjects:
Data science
LSTM
Forecasting
Stock market
Finance
Deep learning
Online Access:https://doi.org/10.1186/s40537-021-00430-0

Internet

https://doi.org/10.1186/s40537-021-00430-0

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