Holdings: Technical analysis for algorithmic pattern recognition

Technical analysis for algorithmic pattern recognition:

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Bibliographic Details
Main Author:	Tsinaslanidis, Prodromos E. (Author)
Format:	Electronic eBook
Language:	English
Published:	Cham ; Heidelberg ; New York ; Dordrecht ; London Springer [2016]
Subjects:	Finance Pattern recognition Economics, Mathematical Statistics Econometrics Macroeconomics Finance, general Statistics for Business/Economics/Mathematical Finance/Insurance Pattern Recognition Quantitative Finance Macroeconomics/Monetary Economics//Financial Economics Statistik
Online Access:	DE-634 DE-1043 DE-Aug4 DE-573 DE-M347 DE-92 DE-898 DE-859 DE-1049 DE-861 DE-863 DE-862 DE-523 DE-2070s DE-473 DE-703 DE-706 DE-824 DE-29 DE-739 Volltext Inhaltsverzeichnis Abstract
Physical Description:	1 Online-Ressource (XIII, 204 Seiten) Illustrationen
ISBN:	9783319236360
DOI:	10.1007/978-3-319-23636-0

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adam_text	TECHNICAL ANALYSIS FOR ALGORITHMIC PATTERN RECOGNITION / TSINASLANIDIS, PRODROMOS E. : 2016 TABLE OF CONTENTS / INHALTSVERZEICHNIS 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 DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. TECHNICAL ANALYSIS FOR ALGORITHMIC PATTERN RECOGNITION / TSINASLANIDIS, PRODROMOS E. : 2016 ABSTRACT / INHALTSTEXT 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. DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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spellingShingle	Tsinaslanidis, Prodromos E. Technical analysis for algorithmic pattern recognition Finance Pattern recognition Economics, Mathematical Statistics Econometrics Macroeconomics Finance, general Statistics for Business/Economics/Mathematical Finance/Insurance Pattern Recognition Quantitative Finance Macroeconomics/Monetary Economics//Financial Economics Statistik
title	Technical analysis for algorithmic pattern recognition
title_auth	Technical analysis for algorithmic pattern recognition
title_exact_search	Technical analysis for algorithmic pattern recognition
title_full	Technical analysis for algorithmic pattern recognition Prodromos E. Tsinaslanidis, Achilleas D. Zapranis
title_fullStr	Technical analysis for algorithmic pattern recognition Prodromos E. Tsinaslanidis, Achilleas D. Zapranis
title_full_unstemmed	Technical analysis for algorithmic pattern recognition Prodromos E. Tsinaslanidis, Achilleas D. Zapranis
title_short	Technical analysis for algorithmic pattern recognition
title_sort	technical analysis for algorithmic pattern recognition
topic	Finance Pattern recognition Economics, Mathematical Statistics Econometrics Macroeconomics Finance, general Statistics for Business/Economics/Mathematical Finance/Insurance Pattern Recognition Quantitative Finance Macroeconomics/Monetary Economics//Financial Economics Statistik
topic_facet	Finance Pattern recognition Economics, Mathematical Statistics Econometrics Macroeconomics Finance, general Statistics for Business/Economics/Mathematical Finance/Insurance Pattern Recognition Quantitative Finance Macroeconomics/Monetary Economics//Financial Economics Statistik
url	https://doi.org/10.1007/978-3-319-23636-0 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028634332&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028634332&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT tsinaslanidisprodromose technicalanalysisforalgorithmicpatternrecognition AT zapranisachilleas technicalanalysisforalgorithmicpatternrecognition

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