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Technical Analysis for Algorithmic Pattern Recognition als eBook von .
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Bester Preis: € 65,44 (vom 12.09.2019)Technical Analysis for Algorithmic Pattern Recognition
ISBN: 9783319236360 bzw. 3319236369, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.
The main purpose of this book is to resolve deficiencies and limitations that currently exist when using Technical Analysis (TA). Particularly, TA is being used either by academics as an “economic test” of the weak-form Efficient Market Hypothesis (EMH) or by practitioners as a main or supplementary tool for deriving trading signals. This book approaches TA in a systematic way utilizing all the available estimation theory and tests. This is achieved through the developing of novel rule-based pattern recognizers, and the implementation of statistical tests for assessing the importance of realized returns. More emphasis is given to technical patterns where subjectivity in their identification process is apparent. Our proposed methodology is based on the algorithmic and thus unbiased pattern recognition. The unified methodological framework presented in this book can serve as a benchmark for both future academic studies that test the null hypothesis of the weak-form EMH and for practitioners that want to embed TA within their trading/investment decision making processes. , eBook.
Technical Analysis for Algorithmic Pattern Recognition (2015)
ISBN: 9783319236360 bzw. 3319236369, in Englisch, 204 Seiten, Springer, neu, Erstausgabe, E-Book, elektronischer Download.
The main purpose of this book is to resolve deficiencies and limitations that currently exist when using Technical Analysis (TA). Particularly, TA is being used either by academics as an “economic test” of the weak-form Efficient Market Hypothesis (EMH) or by practitioners as a main or supplementary tool for deriving trading signals. This book approaches TA in a systematic way utilizing all the available estimation theory and tests. This is achieved through the developing of novel rule-based pattern recognizers, and the implementation of statistical tests for assessing the importance of realized returns. More emphasis is given to technical patterns where subjectivity in their identification process is apparent. Our proposed methodology is based on the algorithmic and thus unbiased pattern recognition. The unified methodological framework presented in this book can serve as a benchmark for both future academic studies that test the null hypothesis of the weak-form EMH and for practitioners that want to embed TA within their trading/investment decision making processes. , Kindle Edition, Ausgabe: 1st ed. 2016, Format: Kindle eBook, Label: Springer, Springer, Produktgruppe: eBooks, Publiziert: 2015-10-31, Freigegeben: 2015-10-31, Studio: Springer.
Technical Analysis for Algorithmic Pattern Recognition
ISBN: 9783319236360 bzw. 3319236369, vermutlich in Englisch, Springer International Publishing, neu, E-Book, elektronischer Download.
Technical Analysis for Algorithmic Pattern Recognition: The main purpose of this book is to resolve deficiencies and limitations that currently exist when using Technical Analysis (TA). Particularly, TA is being used either by academics as an `economic test` of the weak-form Efficient Market Hypothesis (EMH) or by practitioners as a main or supplementary tool for deriving trading signals. This book approaches TA in a systematic way utilizing all the available estimation theory and tests. This is achieved through the developing of novel rule-based pattern recognizers, and the implementation of statistical tests for assessing the importance of realized returns. More emphasis is given to technical patterns where subjectivity in their identification process is apparent. Our proposed methodology is based on the algorithmic and thus unbiased pattern recognition. The unified methodological framework presented in this book can serve as a benchmark for both future academic studies that test the null hypothesis of the weak-form EMH and for practitioners that want to embed TA within their trading/investment decision making processes. ¿, Englisch, Ebook.
Technical Analysis for Algorithmic Pattern Recognition
ISBN: 9783319236360 bzw. 3319236369, in Deutsch, Springer International Publishing, neu, E-Book, elektronischer Download.
Technical Analysis for Algorithmic Pattern Recognition: The main purpose of this book is to resolve deficiencies and limitations that currently exist when using Technical Analysis (TA). Particularly, TA is being used either by academics as an `economic test` of the weak-form Efficient Market Hypothesis (EMH) or by practitioners as a main or supplementary tool for deriving trading signals. This book approaches TA in a systematic way utilizing all the available estimation theory and tests. This is achieved through the developing of novel rule-based pattern recognizers, and the implementation of statistical tests for assessing the importance of realized returns. More emphasis is given to technical patterns where subjectivity in their identification process is apparent. Our proposed methodology is based on the algorithmic and thus unbiased pattern recognition. The unified methodological framework presented in this book can serve as a benchmark for both future academic studies that test the null hypothesis of the weak-form EMH and for practitioners that want to embed TA within their trading/investment decision making processes.????? ? Englisch, Ebook.
Technical Analysis for Algorithmic Pattern (2015)
ISBN: 9783319236353 bzw. 3319236350, in Deutsch, gebundenes Buch, neu.
Erscheinungsdatum: 06.11.2015, Medium: Buch, Einband: Gebunden, Titel: Technical Analysis for Algorithmic Pattern Recognition, Autor: Tsinaslanidis, Prodromos E. // Zapranis, Achilleas D., Verlag: Springer-Verlag GmbH // Springer International Publishing, Sprache: Englisch, Schlagworte: Finanzmathematik // Mathematik // Finanzwirtschaft // Mustererkennung // Ökonometrie // Statistik // Wirtschaftsstatistik // Geldpolitik // Währung // Währungspolitik // Stochastik // Wahrscheinlichkeitsrechnung // BUSINESS & ECONOMICS // Finance // General // Ökonometrie und Wirtschaftsstatistik // Finanzen // Wahrscheinlichkeitsrechnung und Statistik // Betriebswirtschaft und Management, Rubrik: Betriebswirtschaft, Seiten: 204, Abbildungen: 40 schwarz-weiße Abbildungen, Bibliographie, Herkunft: NIEDERLANDE (NL), Informationen: Book, Gewicht: 472 gr, Verkäufer: averdo.
Technical Analysis for Algorithmic Pattern Recognition (2015)
ISBN: 9783319236360 bzw. 3319236369, in Englisch, Springer, Springer, Springer, neu, E-Book, elektronischer Download.
The main purpose of this book is to resolve deficiencies and limitations that currently exist when using Technical Analysis (TA). Particularly, TA is being used either by academics as an "economic test" of the weak-form Efficient Market Hypothesis.
Technical Analysis for Algorithmic Pattern Recognition (ebook)
ISBN: 9783319236360 bzw. 3319236369, in Englisch, (null), neu, E-Book.
Technical Analysis for Algorithmic Pattern Recognition
ISBN: 9783319236353 bzw. 3319236350, in Deutsch, Springer International Publishing, Springer International Publishing, Springer International Publishing, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Technical Analysis for Algorithmic Pattern Recognition
ISBN: 9783319236353 bzw. 3319236350, in Deutsch, Springer-Verlag/Sci-Tech/Trade, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Technical Analysis for Algorithmic Pattern Recognition
ISBN: 9783319236353 bzw. 3319236350, in Deutsch, Springer International Publishing, neu, E-Book.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen