Technical Analysis For Algorithmic Pattern Recognition

Technical Analysis For Algorithmic Pattern Recognition Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Technical Analysis For Algorithmic Pattern Recognition book. This book definitely worth reading, it is an incredibly well-written.

Technical Analysis for Algorithmic Pattern Recognition

Prodromos E. Tsinaslanidis,Achilleas D. Zapranis
Technical Analysis for Algorithmic Pattern Recognition Book PDF

Author : Prodromos E. Tsinaslanidis,Achilleas D. Zapranis
Publisher : Springer
Page : 204 pages
File Size : 47,7 Mb
Release : 2015-10-31
Category : Business & Economics
ISBN : 9783319236360

Get Book

Technical Analysis for Algorithmic Pattern Recognition by Prodromos E. Tsinaslanidis,Achilleas D. Zapranis Pdf

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. ​

Evidence-Based Technical Analysis

David Aronson
Evidence Based Technical Analysis Book PDF

Author : David Aronson
Publisher : John Wiley & Sons
Page : 572 pages
File Size : 54,9 Mb
Release : 2011-07-11
Category : Business & Economics
ISBN : 9781118160589

Get Book

Evidence-Based Technical Analysis by David Aronson Pdf

Evidence-Based Technical Analysis examines how you can apply the scientific method, and recently developed statistical tests, to determine the true effectiveness of technical trading signals. Throughout the book, expert David Aronson provides you with comprehensive coverage of this new methodology, which is specifically designed for evaluating the performance of rules/signals that are discovered by data mining.

Mastering Financial Pattern Recognition

Sofien Kaabar
Mastering Financial Pattern Recognition Book PDF

Author : Sofien Kaabar
Publisher : "O'Reilly Media, Inc."
Page : 291 pages
File Size : 47,9 Mb
Release : 2022-10-18
Category : Business & Economics
ISBN : 9781098120443

Get Book

Mastering Financial Pattern Recognition by Sofien Kaabar Pdf

Candlesticks have become a key component of platforms and charting programs for financial trading. With these charts, traders can learn underlying patterns for interpreting price action history and forecasts. This A-Z guide shows portfolio managers, quants, strategists, and analysts how to use Python to recognize, scan, trade, and back-test the profitability of candlestick patterns. Financial author, trading consultant, and institutional market strategist Sofien Kaabar shows you how to create a candlestick scanner and indicator so you can compare the profitability of these patterns. With this hands-on book, you'll also explore a new type of charting system similar to candlesticks, as well as new patterns that have never been presented before. With this book, you will: Create and understand the conditions required for classic and modern candlestick patterns Learn the market psychology behind them Use a framework to learn how back-testing trading strategies are conducted Explore different charting systems and understand their limitations Import OHLC historical FX data in Python in different time frames Use algorithms to scan for and reproduce patterns Learn a pattern's potential by evaluating its profitability and predictability

Mathematical and Statistical Methods for Actuarial Sciences and Finance

Marco Corazza,Manfred Gilli,Cira Perna,Claudio Pizzi,Marilena Sibillo
Mathematical and Statistical Methods for Actuarial Sciences and Finance Book PDF

Author : Marco Corazza,Manfred Gilli,Cira Perna,Claudio Pizzi,Marilena Sibillo
Publisher : Springer Nature
Page : 389 pages
File Size : 47,5 Mb
Release : 2021-12-13
Category : Business & Economics
ISBN : 9783030789657

Get Book

Mathematical and Statistical Methods for Actuarial Sciences and Finance by Marco Corazza,Manfred Gilli,Cira Perna,Claudio Pizzi,Marilena Sibillo Pdf

The cooperation and contamination between mathematicians, statisticians and econometricians working in actuarial sciences and finance is improving the research on these topics and producing numerous meaningful scientific results. This volume presents new ideas, in the form of four- to six-page papers, presented at the International Conference eMAF2020 – Mathematical and Statistical Methods for Actuarial Sciences and Finance. Due to the now sadly famous COVID-19 pandemic, the conference was held remotely through the Zoom platform offered by the Department of Economics of the Ca’ Foscari University of Venice on September 18, 22 and 25, 2020. eMAF2020 is the ninth edition of an international biennial series of scientific meetings, started in 2004 at the initiative of the Department of Economics and Statistics of the University of Salerno. The effectiveness of this idea has been proven by wide participation in all editions, which have been held in Salerno (2004, 2006, 2010 and 2014), Venice (2008, 2012 and 2020), Paris (2016) and Madrid (2018). This book covers a wide variety of subjects: artificial intelligence and machine learning in finance and insurance, behavioral finance, credit risk methods and models, dynamic optimization in finance, financial data analytics, forecasting dynamics of actuarial and financial phenomena, foreign exchange markets, insurance models, interest rate models, longevity risk, models and methods for financial time series analysis, multivariate techniques for financial markets analysis, pension systems, portfolio selection and management, real-world finance, risk analysis and management, trading systems, and others. This volume is a valuable resource for academics, PhD students, practitioners, professionals and researchers. Moreover, it is also of interest to other readers with quantitative background knowledge.

Pattern Recognition

Brett Anderson
Pattern Recognition Book PDF

Author : Brett Anderson
Publisher : Scientific e-Resources
Page : 128 pages
File Size : 40,5 Mb
Release : 2019-09-14
Category : Electronic
ISBN : 9781839472398

Get Book

Pattern Recognition by Brett Anderson Pdf

Watching the environment and recognising patterns with the end goal of basic leadership is central to human instinct. This book manages the logical train that empowers comparable observation in machines through pattern recognition, which has application in differing innovation regions-character recognition, picture handling, modern computerization, web looks, discourse recognition, therapeutic diagnostics, target recognition, space science, remote detecting, information mining, biometric recognizable proof-to give some examples. This book is a composition of central subjects in pattern recognition utilizing an algorithmic approach. It gives a careful prologue to the ideas of pattern recognition and an efficient record of the real points in pattern recognition other than assessing the huge advance made in the field as of late. It incorporates fundamental strategies of pattern recognition, neural systems, bolster vector machines and choice trees. While hypothetical angles have been given due scope, the accentuation is more on the pragmatic. Pattern recognition has application in practically every field of human undertaking including topography, geology, space science and brain research. All the more particularly, it is helpful in bioinformatics, mental investigation, biometrics and a large group of different applications.

Pattern Recognition

Sergios Theodoridis,Konstantinos Koutroumbas
Pattern Recognition Book PDF

Author : Sergios Theodoridis,Konstantinos Koutroumbas
Publisher : Elsevier
Page : 856 pages
File Size : 40,8 Mb
Release : 2006-04-07
Category : Computers
ISBN : 0080513611

Get Book

Pattern Recognition by Sergios Theodoridis,Konstantinos Koutroumbas Pdf

Pattern recognition is a fast growing area with applications in a widely diverse number of fields such as communications engineering, bioinformatics, data mining, content-based database retrieval, to name but a few. This new edition addresses and keeps pace with the most recent advancements in these and related areas. This new edition: a) covers Data Mining, which was not treated in the previous edition, and is integrated with existing material in the book, b) includes new results on Learning Theory and Support Vector Machines, that are at the forefront of today's research, with a lot of interest both in academia and in applications-oriented communities, c) for the first time treats audio along with image applications since in today's world the most advanced applications are treated in a unified way and d) the subject of classifier combinations is treated, since this is a hot topic currently of interest in the pattern recognition community. * The latest results on support vector machines including v-SVM's and their geometric interpretation * Classifier combinations including the Boosting approach * State-of-the-art material for clustering algorithms tailored for large data sets and/or high dimensional data, as required by applications such as web-mining and bioinformatics * Coverage of diverse applications such as image analysis, optical character recognition, channel equalization, speech recognition and audio classification

Statistical Pattern Recognition

Andrew R. Webb,Keith D. Copsey
Statistical Pattern Recognition Book PDF

Author : Andrew R. Webb,Keith D. Copsey
Publisher : John Wiley & Sons
Page : 604 pages
File Size : 48,7 Mb
Release : 2011-10-13
Category : Mathematics
ISBN : 9781119961406

Get Book

Statistical Pattern Recognition by Andrew R. Webb,Keith D. Copsey Pdf

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques. This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book has been updated to cover new methods and applications, and includes a wide range of techniques such as Bayesian methods, neural networks, support vector machines, feature selection and feature reduction techniques.Technical descriptions and motivations are provided, and the techniques are illustrated using real examples. Statistical Pattern Recognition, 3rd Edition: Provides a self-contained introduction to statistical pattern recognition. Includes new material presenting the analysis of complex networks. Introduces readers to methods for Bayesian density estimation. Presents descriptions of new applications in biometrics, security, finance and condition monitoring. Provides descriptions and guidance for implementing techniques, which will be invaluable to software engineers and developers seeking to develop real applications Describes mathematically the range of statistical pattern recognition techniques. Presents a variety of exercises including more extensive computer projects. The in-depth technical descriptions make the book suitable for senior undergraduate and graduate students in statistics, computer science and engineering. Statistical Pattern Recognition is also an excellent reference source for technical professionals. Chapters have been arranged to facilitate implementation of the techniques by software engineers and developers in non-statistical engineering fields. www.wiley.com/go/statistical_pattern_recognition

Pattern Recognition

Wladyslaw Homenda,Witold Pedrycz
Pattern Recognition Book PDF

Author : Wladyslaw Homenda,Witold Pedrycz
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 49,9 Mb
Release : 2018-02-09
Category : Technology & Engineering
ISBN : 9781119302834

Get Book

Pattern Recognition by Wladyslaw Homenda,Witold Pedrycz Pdf

A new approach to the issue of data quality in pattern recognition Detailing foundational concepts before introducing more complex methodologies and algorithms, this book is a self-contained manual for advanced data analysis and data mining. Top-down organization presents detailed applications only after methodological issues have been mastered, and step-by-step instructions help ensure successful implementation of new processes. By positioning data quality as a factor to be dealt with rather than overcome, the framework provided serves as a valuable, versatile tool in the analysis arsenal. For decades, practical need has inspired intense theoretical and applied research into pattern recognition for numerous and diverse applications. Throughout, the limiting factor and perpetual problem has been data—its sheer diversity, abundance, and variable quality presents the central challenge to pattern recognition innovation. Pattern Recognition: A Quality of Data Perspective repositions that challenge from a hurdle to a given, and presents a new framework for comprehensive data analysis that is designed specifically to accommodate problem data. Designed as both a practical manual and a discussion about the most useful elements of pattern recognition innovation, this book: Details fundamental pattern recognition concepts, including feature space construction, classifiers, rejection, and evaluation Provides a systematic examination of the concepts, design methodology, and algorithms involved in pattern recognition Includes numerous experiments, detailed schemes, and more advanced problems that reinforce complex concepts Acts as a self-contained primer toward advanced solutions, with detailed background and step-by-step processes Introduces the concept of granules and provides a framework for granular computing Pattern recognition plays a pivotal role in data analysis and data mining, fields which are themselves being applied in an expanding sphere of utility. By facing the data quality issue head-on, this book provides students, practitioners, and researchers with a clear way forward amidst the ever-expanding data supply.

Pattern Recognition Algorithms for Data Mining

Sankar K. Pal,Pabitra Mitra
Pattern Recognition Algorithms for Data Mining Book PDF

Author : Sankar K. Pal,Pabitra Mitra
Publisher : CRC Press
Page : 280 pages
File Size : 45,9 Mb
Release : 2004-05-27
Category : Computers
ISBN : 9780203998076

Get Book

Pattern Recognition Algorithms for Data Mining by Sankar K. Pal,Pabitra Mitra Pdf

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. This volume presents various theories, me

Technical Analysis Applications

Florin Cornel Dumiter,Florin Marius Turcaș
Technical Analysis Applications Book PDF

Author : Florin Cornel Dumiter,Florin Marius Turcaș
Publisher : Springer Nature
Page : 178 pages
File Size : 54,7 Mb
Release : 2023-03-11
Category : Business & Economics
ISBN : 9783031274169

Get Book

Technical Analysis Applications by Florin Cornel Dumiter,Florin Marius Turcaș Pdf

This book integrates technical analysis in the capital markets: stock market theories, valuation approaches, portfolio theories, company analysis. In addition to deepening the overall inspection of technical analysis, the book will challenge the corporate norm and offer alternative theories, sometimes even contrary theories, and explore related areas in the context of increasing investment efficiency. Unlike other research in this area, this approach does not consider technical analysis as an ultimate and absolute truth and recognizes that by studying all aspects of an interdisciplinary problem, the chances of success increase substantially. The book will be of specific interest to academics, students and practitioners of financial markets.

Computational Intelligence for Pattern Recognition

Witold Pedrycz,Shyi-Ming Chen
Computational Intelligence for Pattern Recognition Book PDF

Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer
Page : 428 pages
File Size : 55,7 Mb
Release : 2018-04-30
Category : Technology & Engineering
ISBN : 9783319896298

Get Book

Computational Intelligence for Pattern Recognition by Witold Pedrycz,Shyi-Ming Chen Pdf

The book presents a comprehensive and up-to-date review of fuzzy pattern recognition. It carefully discusses a range of methodological and algorithmic issues, as well as implementations and case studies, and identifies the best design practices, assesses business models and practices of pattern recognition in real-world applications in industry, health care, administration, and business. Since the inception of fuzzy sets, fuzzy pattern recognition with its methodology, algorithms, and applications, has offered new insights into the principles and practice of pattern classification. Computational intelligence (CI) establishes a comprehensive framework aimed at fostering the paradigm of pattern recognition. The collection of contributions included in this book offers a representative overview of the advances in the area, with timely, in-depth and comprehensive material on the conceptually appealing and practically sound methodology and practices of CI-based pattern recognition.

Pattern Recognition

S. Ramakrishnan
Pattern Recognition Book PDF

Author : S. Ramakrishnan
Publisher : BoD – Books on Demand
Page : 137 pages
File Size : 47,7 Mb
Release : 2016-12-14
Category : Computers
ISBN : 9789535128038

Get Book

Pattern Recognition by S. Ramakrishnan Pdf

Pattern recognition continued to be one of the important research fields in computer science and electrical engineering. Lots of new applications are emerging, and hence pattern analysis and synthesis become significant subfields in pattern recognition. This book is an edited volume and has six chapters arranged into two sections, namely, pattern recognition analysis and pattern recognition applications. This book will be useful for graduate students, researchers, and practicing engineers working in the field of machine vision and computer science and engineering.

Handbook of Artificial Intelligence for Music

Eduardo Reck Miranda
Handbook of Artificial Intelligence for Music Book PDF

Author : Eduardo Reck Miranda
Publisher : Springer Nature
Page : 994 pages
File Size : 50,5 Mb
Release : 2021-07-02
Category : Computers
ISBN : 9783030721169

Get Book

Handbook of Artificial Intelligence for Music by Eduardo Reck Miranda Pdf

This book presents comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music. It includes chapters introducing what we know about human musical intelligence and on how this knowledge can be simulated with AI. The development of interactive musical robots and emerging new approaches to AI-based musical creativity are also introduced, including brain–computer music interfaces, bio-processors and quantum computing. Artificial Intelligence (AI) technology permeates the music industry, from management systems for recording studios to recommendation systems for online commercialization of music through the Internet. Yet whereas AI for online music distribution is well advanced, this book focuses on a largely unexplored application: AI for creating the actual musical content.

Thinning Methodologies for Pattern Recognition

C Y Suen,P S P Wang
Thinning Methodologies for Pattern Recognition Book PDF

Author : C Y Suen,P S P Wang
Publisher : World Scientific
Page : 352 pages
File Size : 54,7 Mb
Release : 1994-03-25
Category : Computers
ISBN : 9789814502870

Get Book

Thinning Methodologies for Pattern Recognition by C Y Suen,P S P Wang Pdf

Thinning is a technique widely used in the pre-processing stage of a pattern recognition system to compress data and to enhance feature extraction in the subsequent stage. It reduces a digitized pattern to a skeleton so that all resulting branches are 1 pixel thick. The method seems easy at first and has many advantages, however after two decades of intensive research, it has been found to be very challenging due to the difficulties in programming computers to do it. This collection of 15 papers by leading scientists working in the area examines the theoretical and experimental aspects of thinning methodologies. The authors have addressed the problems faced, compared their performance results with others, and assessed the challenges ahead. Researchers will find the volume helpful in shedding light on difficult issues and stimulating further research in the area. Contents:A New Thinning Algorithm Based on Controlled Deletion of Edge Regions (G Dimauro et al.)Graph-Based Thinning for Binary Images (S Suzuki et al.)A Parallel Thinning Algorithm Using the Bounding Boxes Techniques (S Ubeda)Invariant Thinning (U Eckhardt & G Maderlechner)Analytical Comparison of Thinning Algorithms (Y Y Zhang & P S P Wang)Methodologies for Evaluating Thinning Algorithms for Character Recognition (R Plamondon et al.)Automatic Comparison of Skeletons by Shape Matching Methods (L Lam & C Y Suen)Binary and Grey-Value Skeletons: Metrics and Algorithms (B J H Verwer et al.)and other papers Readership: Computer scientists. keywords:

Pattern Recognition and String Matching

Dechang Chen,Xiuzhen Cheng
Pattern Recognition and String Matching Book PDF

Author : Dechang Chen,Xiuzhen Cheng
Publisher : Springer Science & Business Media
Page : 759 pages
File Size : 42,8 Mb
Release : 2013-12-01
Category : Mathematics
ISBN : 9781461302315

Get Book

Pattern Recognition and String Matching by Dechang Chen,Xiuzhen Cheng Pdf

The research and development of pattern recognition have proven to be of importance in science, technology, and human activity. Many useful concepts and tools from different disciplines have been employed in pattern recognition. Among them is string matching, which receives much theoretical and practical attention. String matching is also an important topic in combinatorial optimization. This book is devoted to recent advances in pattern recognition and string matching. It consists of twenty eight chapters written by different authors, addressing a broad range of topics such as those from classifica tion, matching, mining, feature selection, and applications. Each chapter is self-contained, and presents either novel methodological approaches or applications of existing theories and techniques. The aim, intent, and motivation for publishing this book is to pro vide a reference tool for the increasing number of readers who depend upon pattern recognition or string matching in some way. This includes students and professionals in computer science, mathematics, statistics, and electrical engineering. We wish to thank all the authors for their valuable efforts, which made this book a reality. Thanks also go to all reviewers who gave generously of their time and expertise.