Search Results: machine-trading

Machine Trading

Deploying Computer Algorithms to Conquer the Markets

Author: Ernest P. Chan

Publisher: John Wiley & Sons

ISBN: 1119219604

Category: Business & Economics

Page: 264

View: 5592

Dive into algo trading with step-by-step tutorials and expert insight Machine Trading is a practical guide to building your algorithmic trading business. Written by a recognized trader with major institution expertise, this book provides step-by-step instruction on quantitative trading and the latest technologies available even outside the Wall Street sphere. You'll discover the latest platforms that are becoming increasingly easy to use, gain access to new markets, and learn new quantitative strategies that are applicable to stocks, options, futures, currencies, and even bitcoins. The companion website provides downloadable software codes, and you'll learn to design your own proprietary tools using MATLAB. The author's experiences provide deep insight into both the business and human side of systematic trading and money management, and his evolution from proprietary trader to fund manager contains valuable lessons for investors at any level. Algorithmic trading is booming, and the theories, tools, technologies, and the markets themselves are evolving at a rapid pace. This book gets you up to speed, and walks you through the process of developing your own proprietary trading operation using the latest tools. Utilize the newer, easier algorithmic trading platforms Access markets previously unavailable to systematic traders Adopt new strategies for a variety of instruments Gain expert perspective into the human side of trading The strength of algorithmic trading is its versatility. It can be used in any strategy, including market-making, inter-market spreading, arbitrage, or pure speculation; decision-making and implementation can be augmented at any stage, or may operate completely automatically. Traders looking to step up their strategy need look no further than Machine Trading for clear instruction and expert solutions.

Advances in Financial Machine Learning

Author: Marcos Lopez de Prado

Publisher: John Wiley & Sons

ISBN: 1119482119

Category: Business & Economics

Page: 400

View: 9598

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

Cybernetic Trading Strategies

Developing a Profitable Trading System with State-of-the-Art Technologies

Author: Murray A. Ruggiero

Publisher: John Wiley & Sons

ISBN: 9780471149200

Category: Business & Economics

Page: 315

View: 4033

"The computer can do more than show us pretty pictures. [It] can optimize, backtest, prove or disprove old theories, eliminate the bad ones and make the good ones better. Cybernetic Trading Strategies explores new ways to use the computer and finds ways to make a valuable machine even more valuable." ––from the Foreword by John J. Murphy. Until recently, the computer has been used almost exclusively as a charting and data–gathering tool. But as traders and analysts have quickly discovered, its capabilities are far more vast. Now, in this groundbreaking new book, Murray Ruggiero, a leading authority on cybernetic trading systems, unlocks their incredible potential and provides an in–depth look at the growing impact of advanced technologies on intermarket analysis. A unique resource, Cybernetic Trading Strategies provides specific instructions and applications on how to develop tradable market timing systems using neural networks, fuzzy logic, genetic algorithms, chaos theory, and machine induction methods. Currently utilized by some of the most powerful financial institutions in the world––including John Deere and Fidelity Investments––today′s advanced technologies go beyond subjective interpretations of market indicators to enhance traditional analysis. As a result, existing trading systems gain a competitive edge. Ruggiero reveals how "incorporating elements of statistical analysis, spectral analysis, neural networks, genetic algorithms, fuzzy logic, and other high–tech concepts into a traditional technical trading system can greatly improve the performance of standard trading systems." For example: spectral analysis can be used to detect when a market is trending earlier than classical indicators such as ADX. Drawing on his extensive research on market analysis, Ruggiero provides an incisive overview of cyber–systems––systems that, when applied correctly, can increase trading returns by as much as 200% to 300%. The author covers a wide range of important topics, examining classical technical analysis methodologies and seasonal trading, as well as statistically based market prediction and the mechanization of subjective methods such as candlestick charts and the Elliott Wave. Precise explanations and dozens of real–world examples show you how to: ∗ Incorporate advanced technologies into classical technical analysis methodologies. ∗ Identify which of these technologies have the most market applicability. ∗ Build trading systems to maximize reliability and profitability based on your own risk/reward criteria. Most importantly, Cybernetic Trading Strategies takes you step by step through system testing and evaluation, a crucial step for controlling risk and managing money. With up–to–date information from one of the field′s leading authorities, Cybernetic Trading Strategies is the definitive guide to developing, implementing, and testing today′s cutting–edge computer trading technologies.

Machine Learning

Hands-On for Developers and Technical Professionals

Author: Jason Bell

Publisher: John Wiley & Sons

ISBN: 1118889495

Category: Mathematics

Page: 408

View: 9909

Dig deep into the data with a hands-on guide to machinelearning Machine Learning: Hands-On for Developers and TechnicalProfessionals provides hands-on instruction and fully-codedworking examples for the most common machine learning techniquesused by developers and technical professionals. The book contains abreakdown of each ML variant, explaining how it works and how it isused within certain industries, allowing readers to incorporate thepresented techniques into their own work as they follow along. Acore tenant of machine learning is a strong focus on datapreparation, and a full exploration of the various types oflearning algorithms illustrates how the proper tools can help anydeveloper extract information and insights from existing data. Thebook includes a full complement of Instructor's Materials tofacilitate use in the classroom, making this resource useful forstudents and as a professional reference. At its core, machine learning is a mathematical, algorithm-basedtechnology that forms the basis of historical data mining andmodern big data science. Scientific analysis of big data requires aworking knowledge of machine learning, which forms predictionsbased on known properties learned from training data. MachineLearning is an accessible, comprehensive guide for thenon-mathematician, providing clear guidance that allows readersto: Learn the languages of machine learning including Hadoop,Mahout, and Weka Understand decision trees, Bayesian networks, and artificialneural networks Implement Association Rule, Real Time, and Batch learning Develop a strategic plan for safe, effective, and efficientmachine learning By learning to construct a system that can learn from data,readers can increase their utility across industries. Machinelearning sits at the core of deep dive data analysis andvisualization, which is increasingly in demand as companiesdiscover the goldmine hiding in their existing data. For the techprofessional involved in data science, Machine Learning:Hands-On for Developers and Technical Professionals providesthe skills and techniques required to dig deeper.

Advanced Trading Rules

Author: Emmanuel Acar,Stephen Satchell

Publisher: Butterworth-Heinemann

ISBN: 9780750655163

Category: Business & Economics

Page: 449

View: 3903

Advanced Trading Rules is the essential guide to state of the art techniques currently used by the very best financial traders, analysts and fund managers. The editors have brought together the world's leading professional and academic experts to explain how to understand, develop and apply cutting edge trading rules and systems. It is indispensable reading if you are involved in the derivatives, fixed income, foreign exchange and equities markets. 'Advanced Trading Rules' demonstrates how to apply econometrics, computer modelling, technical and quantitative analysis to generate superior returns, showing how you can stay ahead of the curve by finding out why certain methods succeed or fail. Profit from this book by understanding how to use: * stochastic properties of trading strategies * technical indicators * neural networks * genetic algorithms * quantitative techniques * charts Financial markets professionals will discover a wealth of applicable ideas and methods to help them to improve their performance and profits. Students and academics working in this area will also benefit from the rigorous and theoretically sound analysis of this dynamic and exciting area of finance. * The essential guide to state of the art techniques currently used by the very best financial traders, analysts and fund managers * Provides a complete overview of cutting edge financial markets trading rules, including new material on technical analysis and evaluation * Demonstrates how to apply econometrics, computer modeling, technical and quantitative analysis to generate superior returns

Scala for Machine Learning

Data processing, ML algorithms, smart analytics, and more

Author: Patrick R. Nicolas

Publisher: Packt Publishing Ltd

ISBN: 178712620X

Category: Computers

Page: 740

View: 3687

Leverage Scala and Machine Learning to study and construct systems that can learn from data About This Book Explore a broad variety of data processing, machine learning, and genetic algorithms through diagrams, mathematical formulation, and updated source code in Scala Take your expertise in Scala programming to the next level by creating and customizing AI applications Experiment with different techniques and evaluate their benefits and limitations using real-world applications in a tutorial style Who This Book Is For If you're a data scientist or a data analyst with a fundamental knowledge of Scala who wants to learn and implement various Machine learning techniques, this book is for you. All you need is a good understanding of the Scala programming language, a basic knowledge of statistics, a keen interest in Big Data processing, and this book! What You Will Learn Build dynamic workflows for scientific computing Leverage open source libraries to extract patterns from time series Write your own classification, clustering, or evolutionary algorithm Perform relative performance tuning and evaluation of Spark Master probabilistic models for sequential data Experiment with advanced techniques such as regularization and kernelization Dive into neural networks and some deep learning architecture Apply some basic multiarm-bandit algorithms Solve big data problems with Scala parallel collections, Akka actors, and Apache Spark clusters Apply key learning strategies to a technical analysis of financial markets In Detail The discovery of information through data clustering and classification is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, engineering design, logistics, manufacturing, and trading strategies, to detection of genetic anomalies. The book is your one stop guide that introduces you to the functional capabilities of the Scala programming language that are critical to the creation of machine learning algorithms such as dependency injection and implicits. You start by learning data preprocessing and filtering techniques. Following this, you'll move on to unsupervised learning techniques such as clustering and dimension reduction, followed by probabilistic graphical models such as Naive Bayes, hidden Markov models and Monte Carlo inference. Further, it covers the discriminative algorithms such as linear, logistic regression with regularization, kernelization, support vector machines, neural networks, and deep learning. You'll move on to evolutionary computing, multibandit algorithms, and reinforcement learning. Finally, the book includes a comprehensive overview of parallel computing in Scala and Akka followed by a description of Apache Spark and its ML library. With updated codes based on the latest version of Scala and comprehensive examples, this book will ensure that you have more than just a solid fundamental knowledge in machine learning with Scala. Style and approach This book is designed as a tutorial with hands-on exercises using technical analysis of financial markets and corporate data. The approach of each chapter is such that it allows you to understand key concepts easily.

The Changing Fortunes of Central Banking

Author: Philipp Hartmann,Haizhou Huang,Dirk Schoenmaker

Publisher: Cambridge University Press

ISBN: 110854021X

Category: Business & Economics

Page: N.A

View: 6307

Understanding the changing role of central banks and their recent novel policies is essential for analysing many economic and financial issues, ranging from financial regulation and crisis, to exchange rate dynamics and regime changes, and QE and prolonged low interest rates. This book features contributions by the world's leading experts on central banking, providing in accessible essays a fascinating review of today's key issues for central banks. Luminaries including Stephen Cecchetti, Takatoshi Ito, Anil Kashyap, Mervyn King, Donald Kohn, Otmar Issing and Hyun Shin are joined by Charles Goodhart of the London School of Economics and Political Science, whose many achievements in the field of central banking are honoured as the inspiration for this book. The Changing Fortunes of Central Banking discusses the developing role of central banks in seeking monetary and financial stabilisation, while also giving suggestions for model strategies. This comprehensive review will appeal to central bankers, financial supervisors and academics.

Advances in Data Analysis

Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8-10, 2006

Author: Reinhold Decker,Hans-Joachim Lenz

Publisher: Springer Science & Business Media

ISBN: 3540709819

Category: Computers

Page: 687

View: 321

This book focuses on exploratory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. Coverage details a broad range of methods from multivariate statistics, clustering and classification, visualization and scaling as well as from data and time series analysis. It provides new approaches for information retrieval and data mining and reports a host of challenging applications in various fields.

Korea North Mining Laws and Regulations Handbook

Author: International Business Publications, USA.

Publisher: Int'l Business Publications

ISBN: 143307768X

Category: Law

Page: 262

View: 4592

Korea North Mining Laws and Regulations Handbook

Korea North

Energy Policy, Laws and Regulation Handbook: Strategic Information and Developments

Author: International Business Publications, USA.

Publisher: Int'l Business Publications

ISBN: 1433071894

Category: Law

Page: 291

View: 9432

Korea North Energy Policy, Laws and Regulation Handbook

Flash Boys

Revolte an der Wall Street

Author: Michael Lewis

Publisher: Campus Verlag

ISBN: 3593424029

Category: Business & Economics

Page: 288

View: 9819

Mit diesem Buch erhalten Sie das E-Book inklusive! Ein Buch, das die Börse zum Beben bringt Michael Lewis, begnadeter Sachbuchautor, lüftet mit seinem neuen Buch "das dunkelste Geheimnis der Börse". Wer an Börse denkt, hat oft ein Bild im Kopf: wild gestikulierende Makler, die unter immensem Zeitdruck Dinge kaufen, um sie gleich wieder zu verkaufen. Doch das ist Geschichte. Die Realität an der Börse sieht anders aus - das Parkett hat längst neue Regeln. Michael Lewis, Wirtschaftsjournalist und begnadeter Sachbuchautor, sorgte mit seinem neuen Buch für ein Erdbeben. Der Erzähler unter den Sachbuchautoren enthüllt die Geschichte einer Gruppe genialer Wall-Street-Außenseiter. Sie haben herausgefunden, wie die Börse zum Vorteil von Insidern manipuliert wird, die ohne Risiko Milliarden absahnen und abends ohne eine einzige Aktie nach Hause gehen. Ein Buch über die neuen "Helden" an der Börse Der Entschluss der "Helden": Sie schaffen ein paralleles System, das sich den raffgierigen "Flash Boys" in den Weg stellt. Lewis bringt Licht in die dunkelste Ecke der Börse. Seine filmreife Geschichte über den Kampf um Geschwindigkeit - auf einem Markt, den zwar keiner sieht, der unsere Wirtschaft aber ernsthaft bedroht - bringt die Wall Street zum Beben. Dieses Buch lässt die Börsenwelt erzittern. Einen Tag nach seinem Erscheinen kündigten FBI und amerikanisches Justizministerium an, sie würden Untersuchungen gegen den von Lewis gegeißelten Hochfrequenzhandel an den Börsen einleiten. Lewis ... - "... hat eine neue Ebene der Aufmerksamkeit erreicht". (FAZ) - ... lässt den "The Wolf of Wall Street" wie ein Lamm wirken. - ... ist der derzeit packendste (Reality-)Thriller über die Finanzwelt gelungen. - ... enthüllt, wie Märkte und Privatanleger manipuliert werden. Links: http://www.faz.net/aktuell/feuilleton/buecher/rezensionen/sachbuch/rezension-flash-boys-von-michael-lewis-12899266.html http://www.handelsblatt.com/finanzen/fonds/nachrichten/hochfrequenzhandel-staatsfonds-fluechtet-vor-den-flash-boys/10019622.html http://www.manager-magazin.de/finanzen/boerse/hochfrequenzhandel-lewis-gefahr-jedermannn-flashcrash-a-973311.html

Japan Trade Directory

Author: N.A

Publisher: N.A

ISBN: N.A

Category: Commercial products

Page: N.A

View: 6093

Retail Trading in Britain 1850-1950

A Study of Trends in Retailing with Special Reference to the Development of Co-operative, Multiple Shop and Department Store Methods of Trading

Author: James B. Jefferys

Publisher: Cambridge University Press

ISBN: 1107602734

Category: Business & Economics

Page: 536

View: 5445

This 1954 volume explores trends in the distributive trades in the United Kingdom from 1850-1950.

The Smart Investor's Money Machine

Methods and Strategies to Create Regular Income

Author: Bill Kraft

Publisher: John Wiley & Sons

ISBN: 9780470473443

Category: Business & Economics

Page: 224

View: 1653

The Ethics of Human Organ Trading

Author: N.A

Publisher: Armour Publishing Pte Ltd

ISBN: 9814270075

Category: Sale of organs, tissues, etc

Page: 80

View: 7884

Ensembles in Machine Learning Applications

Author: Oleg Okun,Giorgio Valentini,Matteo Re

Publisher: Springer Science & Business Media

ISBN: 3642229093

Category: Computers

Page: 252

View: 9535

This book contains the extended papers presented at the 3rd Workshop on Supervised and Unsupervised Ensemble Methods and their Applications (SUEMA) that was held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2010, Barcelona, Catalonia, Spain). As its two predecessors, its main theme was ensembles of supervised and unsupervised algorithms – advanced machine learning and data mining technique. Unlike a single classification or clustering algorithm, an ensemble is a group of algorithms, each of which first independently solves the task at hand by assigning a class or cluster label (voting) to instances in a dataset and after that all votes are combined together to produce the final class or cluster membership. As a result, ensembles often outperform best single algorithms in many real-world problems. This book consists of 14 chapters, each of which can be read independently of the others. In addition to two previous SUEMA editions, also published by Springer, many chapters in the current book include pseudo code and/or programming code of the algorithms described in them. This was done in order to facilitate ensemble adoption in practice and to help to both researchers and engineers developing ensemble applications.

The Volatility Machine

Emerging Economics and the Threat of Financial Collapse

Author: Michael Pettis

Publisher: Oxford University Press

ISBN: 9780195349481

Category: Business & Economics

Page: 272

View: 875

This book presents a radically different argument for what has caused, and likely will continue to cause, the collapse of emerging market economies. Pettis combines the insights of economic history, economic theory, and finance theory into a comprehensive model for understanding sovereign liability management and the causes of financial crises. He examines recent financial crises in emerging market countries along with the history of international lending since the 1820s to argue that the process of international lending is driven primarily by external events and not by local politics and/or economic policies. He draws out the corporate finance implications of this approach to argue that most of the current analyses of the recent financial crises suffered by Latin America, Asia, and Russia have largely missed the point. He then develops a sovereign finance model, analogous to corporate finance, to understand the capital structure needs of emerging market countries. Using this model, he finally puts into perspective the recent crises, a new sovereign liability management theory, the implications of the model for sovereign debt restructurings, and the new financial architecture. Bridging the gap between finance specialists and traders, on the one hand, and economists and policy-makers on the other, The Volatility Machine is critical reading for anyone interested in where the international economy is going over the next several years.

Advances in Machine Learning Research and Application: 2013 Edition

Author: N.A

Publisher: ScholarlyEditions

ISBN: 1481683195

Category: Computers

Page: 1078

View: 5257

Advances in Machine Learning Research and Application: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Artificial Intelligence. The editors have built Advances in Machine Learning Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Artificial Intelligence in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Advances in Machine Learning Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Charting Secrets

Trade Like a Machine and Finally Beat the Markets Using These Bulletproof Strategies

Author: Louise Bedford

Publisher: John Wiley & Sons

ISBN: 1118543246

Category: Business & Economics

Page: 360

View: 8285

A leading Australian trader shows you how to succeed on the sharemarket with proven charting techniques Now completely revised with the latest trading information, this revised edition of bestselling author Louise Bedford's Charting Secrets is the perfect guide for beginners and experienced traders and chartists alike. Unlike other books on trading, you'll find no get-rich-quick schemes here. Bedford believes that successful trading is a matter of study and hard work, just like any other job. With this in mind, Charting Secrets serves as a workbook that will have you practising what you read and mastering charting techniques as you go. The book begins with explanations of charting patterns and methods and includes sample charts for you to practise on, as well as step-by-step solutions that allow you to compare your results to hers. Features practical charting advice and sample charts that let readers learn techniques as they read Covers charting basics, as well as candlestick charting and system development, macro reversal and continuation patterns, trading psychology, and much more Written by a bestselling author known as one of Australia's most compelling speakers on trading Whether you're new to the trading game or an experienced trader looking to polish your charting techniques, Charting Secrets will show you how to turn potential into profit.

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