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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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Tsinaslanidis, Prodromos E. (Author), Zapranis, Achilleas D. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Subjects:
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.
Online Access:Texto Completo
Table of Contents:
  • 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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