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Technical Analysis for Algorithmic Pattern Recognition

Language EnglishEnglish
Book Hardback
Book Technical Analysis for Algorithmic Pattern Recognition Prodromos E. Tsinaslanidis
Libristo code: 09493622
Publishers Springer International Publishing AG, November 2015
The main purpose of this book is to resolve deficiencies and limitations that currently exist when u... Full description
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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.

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About the book

Full name Technical Analysis for Algorithmic Pattern Recognition
Language English
Binding Book - Hardback
Date of issue 2015
Number of pages 204
EAN 9783319236353
ISBN 3319236350
Libristo code 09493622
Weight 472
Dimensions 246 x 165 x 17
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