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Technical Analysis for Algorithmic Pattern Recognition
Prodromos E. Tsinaslanidis
€ 143.43
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Description for Technical Analysis for Algorithmic Pattern Recognition
Hardback. Num Pages: 210 pages, 29 black & white illustrations, 24 colour illustrations, 17 colour tables, biography. BIC Classification: KCBM; KCH; PBT; UYQP. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 14. Weight in Grams: 488.
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 ... Read more
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 ... Read more
Product Details
Publisher
Springer International Publishing AG
Format
Hardback
Publication date
2015
Condition
New
Weight
472g
Number of Pages
204
Place of Publication
Cham, Switzerland
ISBN
9783319236353
SKU
V9783319236353
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Prodromos E. Tsinaslanidis
Prodromos E. Tsinaslanidis, Ph.D., is Lecturer of Finance in the Business School at the Canterbury Christ Church University. Dr. Tsinaslanidis' research interests include technical analysis, pattern recognition, efficient market hypothesis and design and assessment of investment and trading strategies. Achilleas D. Zapranis, Ph.D., is Professor of Finance ... Read more
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