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STOCK PRICE PREDICTION USING TIME SERIES
Published by
LAP LAMBERT Academic Publishing Sep 2023, 2023
ISBN 10: 6206781801
ISBN 13: 9786206781806
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The ARIMA model and the EXPONENTIAL SMOOTHING model for stock price prediction were given in this book. Each algorithm identifies the stock data set of all five institutions, according to the evaluations of these two models. The ARIMA model test results showed that it can reliably predict stock prices in the short term. This can lead to beneficial investment decisions for stock market speculators. The ARIMA model may be ready to compete with other short-term prediction models based on the findings obtained. A wide range of frequency values can be used using exponential smoothing. The Exponential smoothing approach was chosen for a single time series that followed a pattern in terms of order selection. There are many well-known time series techniques in the ARIMA. The design section of ARIMA was critical, delivering a nearly straight line. 68 pp. Englisch. Seller Inventory # 9786206781806
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STOCK PRICE PREDICTION USING TIME SERIES
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206781801
ISBN 13: 9786206781806
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The ARIMA model and the EXPONENTIAL SMOOTHING model for stock price prediction were given in this book. Each algorithm identifies the stock data set of all five institutions, according to the evaluations of these two models. The ARIMA model test results showed that it can reliably predict stock prices in the short term. This can lead to beneficial investment decisions for stock market speculators. The ARIMA model may be ready to compete with other short-term prediction models based on the findings obtained. A wide range of frequency values can be used using exponential smoothing. The Exponential smoothing approach was chosen for a single time series that followed a pattern in terms of order selection. There are many well-known time series techniques in the ARIMA. The design section of ARIMA was critical, delivering a nearly straight line. Seller Inventory # 9786206781806
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STOCK PRICE PREDICTION USING TIME SERIES
Published by
LAP Lambert Academic Publishing, 2023
ISBN 10: 6206781801
ISBN 13: 9786206781806
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Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The ARIMA model and the EXPONENTIAL SMOOTHING model for stock price prediction were given in this book. Each algorithm identifies the stock data set of all five institutions, according to the evaluations of these two models. The ARIMA model test results sho. Seller Inventory # 1136217304
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STOCK PRICE PREDICTION USING TIME SERIES
Published by
LAP LAMBERT Academic Publishing Sep 2023, 2023
ISBN 10: 6206781801
ISBN 13: 9786206781806
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The ARIMA model and the EXPONENTIAL SMOOTHING model for stock price prediction were given in this book. Each algorithm identifies the stock data set of all five institutions, according to the evaluations of these two models. The ARIMA model test results showed that it can reliably predict stock prices in the short term. This can lead to beneficial investment decisions for stock market speculators. The ARIMA model may be ready to compete with other short-term prediction models based on the findings obtained. A wide range of frequency values can be used using exponential smoothing. The Exponential smoothing approach was chosen for a single time series that followed a pattern in terms of order selection. There are many well-known time series techniques in the ARIMA. The design section of ARIMA was critical, delivering a nearly straight line.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Seller Inventory # 9786206781806
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STOCK PRICE PREDICTION USING TIME SERIES
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206781801
ISBN 13: 9786206781806
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. STOCK PRICE PREDICTION USING TIME SERIES | Kanagala Sateesh Kumar | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206781806 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 127758639