Accurately Forecasting Stock Prices using LSTM and GRU Neural Networks: A Deep Learning approach for forecasting stock price time-series data in groups - Softcover

Lawi, Armin; Kurnia, Eka

 
9786204190921: Accurately Forecasting Stock Prices using LSTM and GRU Neural Networks: A Deep Learning approach for forecasting stock price time-series data in groups
Softcover
ISBN 10: 620419092X ISBN 13: 9786204190921
Verlag: LAP LAMBERT Academic Publishing, 2021

Inhaltsangabe

Stocks or shares are securities that confirm the participation or ownership of a person or entity in a company. Stocks are an attractive investment option because they can generate large profits compared to other businesses, however, the risk can also result in large losses in a short time. Thus, minimizing the risk of loss in stock buying and selling transactions is very crucial and important, and it requires careful attention to stock price movements. Technical factors are one of the methods that are used in learning the prediction of stock price movements through past historical data patterns on the stock market. Therefore, forecasting models using technical factors must be careful, thorough, and accurate, to reduce risk appropriately. This book presents the LSTM and GRU Neural Networks to build stock price forecasting models in groups using technical factors. The investigation uses seven years of benchmark time-series data on daily stock price movements with the same features as several previous related works to show differences in results. Time-series data on stock prices are grouped to follow the general pattern of stock price movements in the stock exchange market.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2021
Sprache
Englisch
ISBN 10 
620419092X
ISBN 13 
9786204190921
Einband
Tapa blanda
Anzahl der Seiten
52
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