Téléchargez le livre : Technical Analysis for Algorithmic Pattern Recognition

Technical Analysis for Algorithmic Pattern Recognition

,

Éditeur :

Springer

Paru le : 2015-10-31

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...
Voir tout
Ce livre est accessible aux handicaps Voir les informations d'accessibilité
Ebook téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Compatible lecture en ligne (streaming)
126,59 €
Ajouter à ma liste d'envies
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

badge apple Application Louise Reader
badge Android Application Louise Reader

Description du livre

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.      ?

À propos

Auteur
Prodromos E. Tsinaslanidis , Achilleas D. Zapranis
Éditeur
Springer
Collection
n.c
Parution
2015-10-31
Pages
204 pages
EAN papier
9783319236353

Caractéristiques détaillées - droits

EAN PDF
9783319236360
Prix
126,59 €
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
4178 Ko
Ce livre est accessible aux handicaps informations d'accessibilité
EAN EPUB
9783319236360
Prix
126,59 €
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
2499 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

Suggestions personnalisées