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 sup...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Tsinaslanidis, Prodromos E. (Autor), Zapranis, Achilleas D. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Temas:
Finance.
Econometrics.
Statistics .
Pattern recognition systems.
Social sciences-Mathematics.
Macroeconomics.
Financial Economics.
Statistics in Business, Management, Economics, Finance, Insurance.
Automated Pattern Recognition.
Mathematics in Business, Economics and Finance.
Macroeconomics and Monetary Economics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Technical Analysis
  • Preprocessing Procedures
  • Assessing the Predictive Performance of Technical Analysis
  • Horizontal Patterns
  • Zigzag Patterns
  • Circular Patterns
  • Technical Indicators
  • A Statistical Assessment
  • Dynamic Time Warping for Pattern Recognition.

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