Technical Analysis for Algorithmic Pattern Recognition

Language: English

Published by Springer, 2015

3319236350 / 9783319236353

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - 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.…

Seller Inventory # 9783319236353

Title
Technical Analysis for Algorithmic Pattern Recognition
Author
Prodromos E. Tsinaslanidis
Publisher
Springer
Publication year
2015
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3319236350
ISBN 13
9783319236353
Item weight
448 grams
Dimensions
241x160x18 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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