Technical analysis for algorithmic pattern recognition:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham ; Heidelberg ; New York ; Dordrecht ; London
Springer
[2016]
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| Schlagworte: | |
| Online-Zugang: | BTU01 FAB01 FHA01 FHI01 FHM01 FHN01 FHR01 FKE01 FNU01 FRO01 FWS01 FWS02 HTW01 HWR01 UBG01 UBT01 UBY01 UEI01 UER01 UPA01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource (XIII, 204 Seiten) Illustrationen |
| ISBN: | 9783319236360 |
| DOI: | 10.1007/978-3-319-23636-0 |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | 590284 |
|---|---|
| _version_ | 1806179621475975168 |
| 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.
|
| any_adam_object | 1 |
| author | Tsinaslanidis, Prodromos E. |
| author_GND | (DE-588)1081451343 (DE-588)12117736X |
| author_facet | Tsinaslanidis, Prodromos E. |
| author_role | aut |
| author_sort | Tsinaslanidis, Prodromos E. |
| author_variant | p e t pe pet |
| building | Verbundindex |
| bvnumber | BV043211191 |
| collection | ZDB-2-ECF |
| ctrlnum | (OCoLC)930013769 (DE-599)BVBBV043211191 |
| dewey-full | 332 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 332 - Financial economics |
| dewey-raw | 332 |
| dewey-search | 332 |
| dewey-sort | 3332 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-3-319-23636-0 |
| format | Electronic eBook |
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| open_access_boolean | |
| owner | DE-523 DE-2070s DE-1043 DE-Aug4 DE-573 DE-1049 DE-859 DE-703 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-92 DE-824 DE-739 DE-83 DE-634 DE-898 DE-BY-UBR DE-M347 DE-861 DE-706 |
| owner_facet | DE-523 DE-2070s DE-1043 DE-Aug4 DE-573 DE-1049 DE-859 DE-703 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-92 DE-824 DE-739 DE-83 DE-634 DE-898 DE-BY-UBR DE-M347 DE-861 DE-706 |
| physical | 1 Online-Ressource (XIII, 204 Seiten) Illustrationen |
| psigel | ZDB-2-ECF ZDB-2-ECF_2016 |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Springer |
| record_format | marc |
| 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 |