Trading strategy is very important in today's financial market. It will be useful to understand the trend of trading market in advance. The optimization algorithms implemented with the technical indicators shows significant improvement in the prediction of the trading strategy signals as compared to the traditional methods. Moreover, flexibility of the optimization algorithms to integrate with various technical indicators gives way to improve the proposed trading strategy model.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Trading strategy is very important in today's financial market. It will be useful to understand the trend of trading market in advance. The optimization algorithms implemented with the technical indicators shows significant improvement in the prediction of the trading strategy signals as compared to the traditional methods. Moreover, flexibility of the optimization algorithms to integrate with various technical indicators gives way to improve the proposed trading strategy model.
Sushilata Devi Mayanglambam have done her Bachelor of Technology in Computer Science and Engineering from North Eastern Hill University, India in 2005. In 2011, she has obtained her master degree in Computer Science and Information Engineering from National Taiwan University of Science and Technology, Taiwan.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Trading strategy is very important in today's financial market. It will be useful to understand the trend of trading market in advance. The optimization algorithms implemented with the technical indicators shows significant improvement in the prediction of the trading strategy signals as compared to the traditional methods. Moreover, flexibility of the optimization algorithms to integrate with various technical indicators gives way to improve the proposed trading strategy model. 76 pp. Englisch. N° de réf. du vendeur 9783844327243
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mayanglambam SushilataSushilata Devi Mayanglambam have done her Bachelor of Technology in Computer Science and Engineering from North Eastern Hill University, India in 2005. In 2011, she has obtained her master degree in Computer . N° de réf. du vendeur 5473127
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Trading strategy is very important in today''s financial market. It will be useful to understand the trend of trading market in advance. The optimization algorithms implemented with the technical indicators shows significant improvement in the prediction of the trading strategy signals as compared to the traditional methods. Moreover, flexibility of the optimization algorithms to integrate with various technical indicators gives way to improve the proposed trading strategy model.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. N° de réf. du vendeur 9783844327243
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Trading strategy is very important in today's financial market. It will be useful to understand the trend of trading market in advance. The optimization algorithms implemented with the technical indicators shows significant improvement in the prediction of the trading strategy signals as compared to the traditional methods. Moreover, flexibility of the optimization algorithms to integrate with various technical indicators gives way to improve the proposed trading strategy model. N° de réf. du vendeur 9783844327243
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Taschenbuch. Etat : Neu. Trading Strategy of Mutual Funds based on TPSO and MACD | Trading Strategy of Mutual Funds based on TPSO and MACD | Sushilata Mayanglambam (u. a.) | Taschenbuch | 76 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844327243 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 107038633
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