Application Of Pattern Recognition To Financial Data

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Application Of Pattern Recognition To Financial Data

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Author : D. J. Swart
language : en
Publisher:
Release Date : 2009

Application Of Pattern Recognition To Financial Data written by D. J. Swart and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.

Final year report -- Elektriese, Elektroniese & Rekenaaringenieurswese.

Mastering Financial Pattern Recognition

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Author : Sofien Kaabar
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-10-18

Mastering Financial Pattern Recognition written by Sofien Kaabar and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-18 with Business & Economics categories.

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

Background Subtraction For Pattern Recognition In High Frequency Financial Data

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Author : Alex Papanicolaou
language : en
Publisher:
Release Date : 2016

Background Subtraction For Pattern Recognition In High Frequency Financial Data written by Alex Papanicolaou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.

Financial markets produce massive amounts of complex data from multiple agents, and analyzing these data is important for building an understanding of markets, their formation, and the influence of different trading strategies. We introduce a signal processing approach to deal with these complexities by applying background subtraction methods to high frequency financial data to extract significant market making behavior. In foreign exchange, for prices in a single currency pair from many sources, we model the market as a low-rank structure with an additive sparse component representing transient market making behavior. We consider case studies with real market data, showing both in-sample and online results, for how the model reveals pricing reactions that deviate from prevailing patterns. We place this study in context with alternative low-rank models used in econometrics as well as in high frequency financial models and discuss the broader implications of the melding of background subtraction, pattern recognition, and financial markets as it relates to algorithmic trading and risk. To our knowledge this is the first use of high-dimensional signal processing methods for pattern recognition in complex automated electronic markets.

Dynamic Fuzzy Pattern Recognition With Applications To Finance And Engineering

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Author : Larisa Angstenberger
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14

Dynamic Fuzzy Pattern Recognition With Applications To Finance And Engineering written by Larisa Angstenberger and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Mathematics categories.

Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. This book sets a general framework for Dynamic Pattern Recognition, describing in detail the monitoring process using fuzzy tools and the adaptation process in which the classifiers have to be adapted, using the observations of the dynamic process. It then focuses on the problem of a changing cluster structure (new clusters, merging of clusters, splitting of clusters and the detection of gradual changes in the cluster structure). Finally, the book integrates these parts into a complete algorithm for dynamic fuzzy classifier design and classification.

Data Complexity In Pattern Recognition

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Author : Mitra Basu
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-12-22

Data Complexity In Pattern Recognition written by Mitra Basu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-22 with Computers categories.

Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its role in shaping theory and techniques across many disciplines, probing strengths and deficiencies of current classification techniques, and the algorithms that drive them. The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations for classification performance.

Statistical Pattern Recognition

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Author : Andrew R. Webb
language : en
Publisher: John Wiley & Sons
Release Date : 2011-10-13

Statistical Pattern Recognition written by Andrew R. Webb and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-13 with Mathematics categories.

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 And Machine Learning

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Author : Conor Williams
language : en
Publisher:
Release Date : 2023-12-23

Pattern Recognition And Machine Learning written by Conor Williams and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-23 with Computers categories.

"Pattern Recognition: Exploring the Power of Data Analysis and Prediction through Cutting-Edge Technology" is a comprehensive guide to the field of pattern recognition, written by a team of experts in the field. The book covers the fundamentals of data analysis and statistical inference before delving into the theory and application of pattern recognition techniques. The authors explore a variety of methods, including statistical pattern recognition, machine learning, and deep learning, and provide practical examples of their use in computer vision, speech recognition, natural language processing, bioinformatics, finance, robotics, and automation. Readers will learn about template matching, Fourier analysis and wavelets, feature extraction and selection, object recognition, image segmentation, texture analysis, and more. The book also covers supervised and unsupervised learning techniques, including linear regression and classification, decision trees, support vector machines, and clustering algorithms. The author discuss the potential impact of quantum computing on pattern recognition, as well as ethical considerations in the field. With its accessible writing style and detailed examples, "Pattern Recognition: Exploring the Power of Data Analysis and Prediction through Cutting-Edge Technology" is an essential resource for students, researchers, and practitioners interested in data analysis, machine learning, and artificial intelligence.

Artificial Intelligence In Financial Markets

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Author : Christian L. Dunis
language : en
Publisher: Springer
Release Date : 2016-11-21

Artificial Intelligence In Financial Markets written by Christian L. Dunis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-21 with Business & Economics categories.

As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and trading across a range of assets, including derivatives, exchange traded funds, debt and equity instruments. This section will focus on pattern recognition, market timing models, forecasting and trading of financial time series. Section II provides insights into macro and microeconomics and how AI techniques could be used to better understand and predict economic variables. Section III focuses on corporate finance and credit analysis providing an insight into corporate structures and credit, and establishing a relationship between financial statement analysis and the influence of various financial scenarios. Section IV focuses on portfolio management, exploring applications for portfolio theory, asset allocation and optimization. This book also provides some of the latest research in the field of artificial intelligence and finance, and provides in-depth analysis and highly applicable tools and techniques for practitioners and researchers in this field.

Data Analysis And Applications 3

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Author : Andreas Makrides
language : en
Publisher: John Wiley & Sons
Release Date : 2020-04-09

Data Analysis And Applications 3 written by Andreas Makrides and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-09 with Business & Economics categories.

Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is self-evident. New publications are appearing, covering the need for information from all fields of science and engineering, thanks to the universal relevance of data analysis and statistics packages. This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis. The chapters included in this volume represent a cross-section of current concerns and research interests in these scientific areas. The material is divided into two parts: Computational Data Analysis, and Classification Data Analysis, with methods for both - providing the reader with both theoretical and applied information on data analysis methods, models and techniques and appropriate applications.

Applications Of Pattern Recognition

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Author : King-Sun Fu
language : en
Publisher: CRC Press
Release Date : 2019-07-22

Applications Of Pattern Recognition written by King-Sun Fu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-22 with Technology & Engineering categories.

This monograph is intended to cover several major applications of pattern recognition. After a brief introduction to pattern recognition in Chapter 1, the two major approaches, statistical approach and syntactic approach, are reviewed in Chapter 2, and 3, respectively. Other topics include the application of pattern recognition to seismic wave interpretation, to system reliability problems, to medical data analysis, as well as character and speech recognition.