Technical Analysis For Algorithmic Pattern Recognition

DOWNLOAD

Download Technical Analysis For Algorithmic Pattern Recognition PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Technical Analysis For Algorithmic Pattern Recognition book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Technical Analysis For Algorithmic Pattern Recognition

DOWNLOAD
Author : Prodromos E. Tsinaslanidis
language : en
Publisher: Springer
Release Date : 2015-10-31

Technical Analysis For Algorithmic Pattern Recognition written by Prodromos E. Tsinaslanidis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-31 with Business & Economics categories.

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. ​

Pattern Recognition Algorithms For Data Mining

DOWNLOAD
Author : Sankar K. Pal
language : en
Publisher: CRC Press
Release Date : 2004-05-27

Pattern Recognition Algorithms For Data Mining written by Sankar K. Pal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-27 with Computers categories.

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, methodologies, and algorithms, using both classical approaches and hybrid paradigms. The authors emphasize large datasets with overlapping, intractable, or nonlinear boundary classes, and datasets that demonstrate granular computing in soft frameworks. Organized into eight chapters, the book begins with an introduction to PR, data mining, and knowledge discovery concepts. The authors analyze the tasks of multi-scale data condensation and dimensionality reduction, then explore the problem of learning with support vector machine (SVM). They conclude by highlighting the significance of granular computing for different mining tasks in a soft paradigm.

Machine Learning For Algorithmic Trading Second Edition

DOWNLOAD
Author : Stefan Jansen
language : en
Publisher:
Release Date : 2020-07-31

Machine Learning For Algorithmic Trading Second Edition written by Stefan Jansen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-31 with Computers categories.

Evidence Based Technical Analysis

DOWNLOAD
Author : David Aronson
language : en
Publisher: John Wiley & Sons
Release Date : 2011-07-11

Evidence Based Technical Analysis written by David Aronson 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 2011-07-11 with Business & Economics categories.

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.

Technical Analysis Applications

DOWNLOAD
Author : Florin Cornel Dumiter
language : en
Publisher: Springer Nature
Release Date : 2023-03-11

Technical Analysis Applications written by Florin Cornel Dumiter and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-11 with Business & Economics categories.

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.

Algorithmic Trading Technical Indicators

DOWNLOAD
Author : SQ2 SYSTEMS AB
language : en
Publisher: SQ2 SYSTEMS AB
Release Date : 2023-09-20

Algorithmic Trading Technical Indicators written by SQ2 SYSTEMS AB and has been published by SQ2 SYSTEMS AB this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-20 with Business & Economics categories.

"Algorithmic Trading: Technical Indicators" is your go-to guide for unraveling the power of technical indicators in algorithmic trading. If you're intrigued by data-driven signals that inform trading decisions, this book is your key to mastering the art of technical analysis. Designed for traders and investors seeking a practical introduction to technical indicators, this book simplifies the complex world of charts, patterns, and signals. It provides clear insights into how historical price and volume data can drive trading strategies. Explore the fundamental principles of technical analysis, where historical data becomes your ally in making informed trading decisions. Delve into the secrets of candlestick patterns, moving averages, Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and Bollinger Bands. These indicators will become your trusted tools for identifying trends, overbought or oversold conditions, and potential reversals. "Algorithmic Trading: Technical Indicators" offers practical guidance on incorporating these indicators into your trading strategy. Discover how to recognize entry and exit points, effectively manage risk with stop-loss and take-profit levels, and enhance your decision-making. This book provides accessible insights without delving into complex technical examples or deep understanding. It's perfect for beginners curious about the power of technical analysis or experienced traders looking to refine their algorithmic strategies. Whether you're new to technical indicators or seeking to enhance your trading skills, "Algorithmic Trading: Technical Indicators" equips you with the knowledge and tools to confidently navigate the world of algorithmic trading through the lens of technical analysis. Join us in harnessing the potential of data-driven trading signals in today's dynamic financial markets.

Pattern Recognition

DOWNLOAD
Author : M. Narasimha Murty
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-25

Pattern Recognition written by M. Narasimha Murty 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 2011-05-25 with Computers categories.

Observing the environment and recognising patterns for the purpose of decision making is fundamental to human nature. This book deals with the scientific discipline that enables similar perception in machines through pattern recognition (PR), which has application in diverse technology areas. This book is an exposition of principal topics in PR using an algorithmic approach. It provides a thorough introduction to the concepts of PR and a systematic account of the major topics in PR besides reviewing the vast progress made in the field in recent times. It includes basic techniques of PR, neural networks, support vector machines and decision trees. While theoretical aspects have been given due coverage, the emphasis is more on the practical. The book is replete with examples and illustrations and includes chapter-end exercises. It is designed to meet the needs of senior undergraduate and postgraduate students of computer science and allied disciplines.

Way Of The Trade

DOWNLOAD
Author : Jea Yu
language : en
Publisher: John Wiley & Sons
Release Date : 2013-07-12

Way Of The Trade written by Jea Yu 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 2013-07-12 with Business & Economics categories.

Praise for Way of the Trade + Online Video Course "Jea Yu's Way of the Trade offers serious traders a comprehensive and compelling approach to short-term trading. Jea writes in a reader-friendly style, connecting market realities with sound trading techniques and risk management strategies. If you are dedicated to succeeding in the trading world, Way of the Trade belongs on your bookshelf." Toni Turner, President, TrendStar Trading Group, Inc.; author of A Beginner's Guide to Day Trading Online and Invest to Win: Earn and Keep Profits in Bull and Bear Markets with the GainsMaster Approach "In his new book, Way of the Trade, Jea Yu does a great job explaining market truths and delivering the tools helpful for profitable trading. There is so much valuable information in this book, but the section on 'The 5 Laws of the Marketplace' alone is worth the price of this book. A must-read for the serious trader!" Bennett A. McDowell, President, TradersCoach.com, and author of The ART® of Trading, A Trader's Money Management System, and Survival Guide for Traders "Jea Yu's powerful new book offers a wide range of tools, strategies, and insights to help traders at all experience levels. Combining his unique market methodology with high-powered tape reading techniques, Yu's well-written narrative presents serious-minded readers with a detailed road map to short-term profits." Alan Farley, Editor/Publisher, Hard Right Edge "Jea is like the Kevin Smith of trading. His knowledge and historical perspective are rivaled only by his passion for the business. From X-Men comics to Bloomberg stock pickers, Jea takes you on a journey through the culture and mind of a Wall Street trader." Jeremy Frommer, CEO, Jerrick Ventures; former CEO of Carlin Financial Group; former Head of Global Prime Services, Royal Bank of Canada "Jea Yu's latest masterpiece, Way of the Trade, illuminates a path of trading success appropriate for new hopeful traders and veterans alike. Way of the Trade encapsulates the strategic wisdom of Sun Tzu with the modern street smarts of a market master. Skillful use of trading examples, along with lessons of individuals who beat seemingly impregnable odds, make Way of the Trade incredibly difficult to put down and impossible not to learn from." Robert Weinstein, TheStreet.com contributor, founder of Paid2Trade.com, and full-time trader

Statistically Sound Machine Learning For Algorithmic Trading Of Financial Instruments

DOWNLOAD
Author : David Aronson
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2013

Statistically Sound Machine Learning For Algorithmic Trading Of Financial Instruments written by David Aronson and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Algorithmus categories.

This book serves two purposes. First, it teaches the importance of using sophisticated yet accessible statistical methods to evaluate a trading system before it is put to real-world use. In order to accommodate readers having limited mathematical background, these techniques are illustrated with step-by-step examples using actual market data, and all examples are explained in plain language. Second, this book shows how the free program TSSB (Trading System Synthesis & Boosting) can be used to develop and test trading systems. The machine learning and statistical algorithms available in TSSB go far beyond those available in other off-the-shelf development software. Intelligent use of these state-of-the-art techniques greatly improves the likelihood of obtaining a trading system whose impressive backtest results continue when the system is put to use in a trading account. Among other things, this book will teach the reader how to: Estimate future performance with rigorous algorithms Evaluate the influence of good luck in backtests Detect overfitting before deploying your system Estimate performance bias due to model fitting and selection of seemingly superior systems Use state-of-the-art ensembles of models to form consensus trade decisions Build optimal portfolios of trading systems and rigorously test their expected performance Search thousands of markets to find subsets that are especially predictable Create trading systems that specialize in specific market regimes such as trending/flat or high/low volatility More information on the TSSB program can be found at TSSBsoftware dot com.

Markov Models For Pattern Recognition

DOWNLOAD
Author : Gernot A. Fink
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-01-14

Markov Models For Pattern Recognition written by Gernot A. Fink 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 2014-01-14 with Computers categories.

This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate Viterbi-training procedure, a theoretical derivation of the perplexity measure and coverage of multi-pass decoding based on n-best search. Supporting the discussion of the theoretical foundations of Markov modeling, special emphasis is also placed on practical algorithmic solutions. Features: introduces the formal framework for Markov models; covers the robust handling of probability quantities; presents methods for the configuration of hidden Markov models for specific application areas; describes important methods for efficient processing of Markov models, and the adaptation of the models to different tasks; examines algorithms for searching within the complex solution spaces that result from the joint application of Markov chain and hidden Markov models; reviews key applications of Markov models.