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Sinopsis
Stock Market prediction is one of the hottest fields of research due to its commercial applications and the attractive benefits it offers. Nevertheless, the major challenge confronting stock investors is forecasting price movements in stock markets. For these reasons, this thesis presents a stock trend prediction model, generating a signal of either up, constant or down for each trading day based on the historical price of the stock only. The work goal is to give as many accurate predictions as possible. The presented model is a development of an integrated stock market trend prediction model based on Artificial Neural Network and fuzzy logic rules. This study constructs a hybrid model utilizing technical analysis tools: technical indicators and Elliott’s wave theory. The presented model will be conducted by developing predictor system, consisting of three main phases. In the first phase a trend predictor model based on neural network is developed. The Second phase is a fuzzy rule based system to predict the short term stock trend. The third and last phase is integration between the first two phases using neural network. This phase work on generating the final output.
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Acerca del autor
Maha M. Abdelrasoul is a Computer Science PhD student at Old Dominion University, earned her Master degree from Arab Academy for Science and Technology in 2011.Her research interests include Pattern Recognition, machine learning, Image processing, time series analysis, bio-informatics
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- EditorialNoor Publishing
- Año de publicación2016
- ISBN 10 3330800100
- ISBN 13 9783330800106
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas132
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Stock Market Trend Prediction Using Neural Networks and Fuzzy Logic
Impresión bajo demandaLibrería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Abdelrasoul MahaMaha M. Abdelrasoul is a Computer Science PhD student at Old Dominion University, earned her Master degree from Arab Academy for Science and Technology in 2011.Her research interests include Pattern Recognition, machi. Nº de ref. del artículo: 151242710
Cantidad disponible: Más de 20 disponibles
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Stock Market Trend Prediction Using Neural Networks and Fuzzy Logic
Publicado por
Noor Publishing Okt 2016, 2016
ISBN 10: 3330800100
ISBN 13: 9783330800106
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Stock Market prediction is one of the hottest fields of research due to its commercial applications and the attractive benefits it offers. Nevertheless, the major challenge confronting stock investors is forecasting price movements in stock markets. For these reasons, this thesis presents a stock trend prediction model, generating a signal of either up, constant or down for each trading day based on the historical price of the stock only. The work goal is to give as many accurate predictions as possible. The presented model is a development of an integrated stock market trend prediction model based on Artificial Neural Network and fuzzy logic rules. This study constructs a hybrid model utilizing technical analysis tools: technical indicators and Elliott's wave theory. The presented model will be conducted by developing predictor system, consisting of three main phases. In the first phase a trend predictor model based on neural network is developed. The Second phase is a fuzzy rule based system to predict the short term stock trend. The third and last phase is integration between the first two phases using neural network. This phase work on generating the final output. 132 pp. Englisch. Nº de ref. del artículo: 9783330800106
Cantidad disponible: 2 disponibles
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Stock Market Trend Prediction Using Neural Networks and Fuzzy Logic
Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Stock Market prediction is one of the hottest fields of research due to its commercial applications and the attractive benefits it offers. Nevertheless, the major challenge confronting stock investors is forecasting price movements in stock markets. For these reasons, this thesis presents a stock trend prediction model, generating a signal of either up, constant or down for each trading day based on the historical price of the stock only. The work goal is to give as many accurate predictions as possible. The presented model is a development of an integrated stock market trend prediction model based on Artificial Neural Network and fuzzy logic rules. This study constructs a hybrid model utilizing technical analysis tools: technical indicators and Elliott's wave theory. The presented model will be conducted by developing predictor system, consisting of three main phases. In the first phase a trend predictor model based on neural network is developed. The Second phase is a fuzzy rule based system to predict the short term stock trend. The third and last phase is integration between the first two phases using neural network. This phase work on generating the final output. Nº de ref. del artículo: 9783330800106
Cantidad disponible: 1 disponibles
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Stock Market Trend Prediction Using Neural Networks and Fuzzy Logic
Publicado por
Noor Publishing Okt 2016, 2016
ISBN 10: 3330800100
ISBN 13: 9783330800106
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -Stock Market prediction is one of the hottest fields of research due to its commercial applications and the attractive benefits it offers. Nevertheless, the major challenge confronting stock investors is forecasting price movements in stock markets. For these reasons, this thesis presents a stock trend prediction model, generating a signal of either up, constant or down for each trading day based on the historical price of the stock only. The work goal is to give as many accurate predictions as possible. The presented model is a development of an integrated stock market trend prediction model based on Artificial Neural Network and fuzzy logic rules. This study constructs a hybrid model utilizing technical analysis tools: technical indicators and Elliott¿s wave theory. The presented model will be conducted by developing predictor system, consisting of three main phases. In the first phase a trend predictor model based on neural network is developed. The Second phase is a fuzzy rule based system to predict the short term stock trend. The third and last phase is integration between the first two phases using neural network. This phase work on generating the final output.Books on Demand GmbH, Überseering 33, 22297 Hamburg 132 pp. Englisch. Nº de ref. del artículo: 9783330800106
Cantidad disponible: 2 disponibles
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Stock Market Trend Prediction Using Neural Networks and Fuzzy Logic
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 132 pages. 8.66x5.91x0.30 inches. In Stock. Nº de ref. del artículo: 3330800100
Cantidad disponible: 1 disponibles