Handbook Of High Frequency Trading
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Handbook of High Frequency Trading
- Author : Greg N. Gregoriou
- Publisher : Academic Press
- Release Date : 2015-02-10
- Total pages : 494
- ISBN : 9780128023624
- File Size : 39,9 Mb
- Total Download : 729
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This comprehensive examination of high frequency trading looks beyond mathematical models, which are the subject of most HFT books, to the mechanics of the marketplace. In 25 chapters, researchers probe the intricate nature of high frequency market dynamics, market structure, back-office processes, and regulation. They look deeply into computing infrastructure, describing data sources, formats, and required processing rates as well as software architecture and current technologies. They also create contexts, explaining the historical rise of automated trading systems, corresponding technological advances in hardware and software, and the evolution of the trading landscape. Developed for students and professionals who want more than discussions on the econometrics of the modelling process, The Handbook of High Frequency Trading explains the entirety of this controversial trading strategy. Answers all questions about high frequency trading without being limited to mathematical modelling Illuminates market dynamics, processes, and regulations Explains how high frequency trading evolved and predicts its future developments
Handbook of High-Frequency Trading and Modeling in Finance
- Author : Ionut Florescu,Maria C. Mariani,H. Eugene Stanley,Frederi G. Viens
- Publisher : John Wiley & Sons
- Release Date : 2016-04-05
- Total pages : 456
- ISBN : 9781118593325
- File Size : 20,8 Mb
- Total Download : 168
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Reflecting the fast pace and ever-evolving nature of the financial industry, the Handbook of High-Frequency Trading and Modeling in Finance details how high-frequency analysis presents new systematic approaches to implementing quantitative activities with high-frequency financial data. Introducing new and established mathematical foundations necessary to analyze realistic market models and scenarios, the handbook begins with a presentation of the dynamics and complexity of futures and derivatives markets as well as a portfolio optimization problem using quantum computers. Subsequently, the handbook addresses estimating complex model parameters using high-frequency data. Finally, the handbook focuses on the links between models used in financial markets and models used in other research areas such as geophysics, fossil records, and earthquake studies. The Handbook of High-Frequency Trading and Modeling in Finance also features: • Contributions by well-known experts within the academic, industrial, and regulatory fields • A well-structured outline on the various data analysis methodologies used to identify new trading opportunities • Newly emerging quantitative tools that address growing concerns relating to high-frequency data such as stochastic volatility and volatility tracking; stochastic jump processes for limit-order books and broader market indicators; and options markets • Practical applications using real-world data to help readers better understand the presented material The Handbook of High-Frequency Trading and Modeling in Finance is an excellent reference for professionals in the fields of business, applied statistics, econometrics, and financial engineering. The handbook is also a good supplement for graduate and MBA-level courses on quantitative finance, volatility, and financial econometrics. Ionut Florescu, PhD, is Research Associate Professor in Financial Engineering and Director of the Hanlon Financial Systems Laboratory at Stevens Institute of Technology. His research interests include stochastic volatility, stochastic partial differential equations, Monte Carlo Methods, and numerical methods for stochastic processes. Dr. Florescu is the author of Probability and Stochastic Processes, the coauthor of Handbook of Probability, and the coeditor of Handbook of Modeling High-Frequency Data in Finance, all published by Wiley. Maria C. Mariani, PhD, is Shigeko K. Chan Distinguished Professor in Mathematical Sciences and Chair of the Department of Mathematical Sciences at The University of Texas at El Paso. Her research interests include mathematical finance, applied mathematics, geophysics, nonlinear and stochastic partial differential equations and numerical methods. Dr. Mariani is the coeditor of Handbook of Modeling High-Frequency Data in Finance, also published by Wiley. H. Eugene Stanley, PhD, is William Fairfield Warren Distinguished Professor at Boston University. Stanley is one of the key founders of the new interdisciplinary field of econophysics, and has an ISI Hirsch index H=128 based on more than 1200 papers. In 2004 he was elected to the National Academy of Sciences. Frederi G. Viens, PhD, is Professor of Statistics and Mathematics and Director of the Computational Finance Program at Purdue University. He holds more than two dozen local, regional, and national awards and he travels extensively on a world-wide basis to deliver lectures on his research interests, which range from quantitative finance to climate science and agricultural economics. A Fellow of the Institute of Mathematics Statistics, Dr. Viens is the coeditor of Handbook of Modeling High-Frequency Data in Finance, also published by Wiley.
High-Frequency Trading
- Author : Irene Aldridge
- Publisher : John Wiley & Sons
- Release Date : 2013-04-22
- Total pages : 320
- ISBN : 9781118343500
- File Size : 30,5 Mb
- Total Download : 248
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A fully revised second edition of the best guide to high-frequency trading High-frequency trading is a difficult, but profitable, endeavor that can generate stable profits in various market conditions. But solid footing in both the theory and practice of this discipline are essential to success. Whether you're an institutional investor seeking a better understanding of high-frequency operations or an individual investor looking for a new way to trade, this book has what you need to make the most of your time in today's dynamic markets. Building on the success of the original edition, the Second Edition of High-Frequency Trading incorporates the latest research and questions that have come to light since the publication of the first edition. It skillfully covers everything from new portfolio management techniques for high-frequency trading and the latest technological developments enabling HFT to updated risk management strategies and how to safeguard information and order flow in both dark and light markets. Includes numerous quantitative trading strategies and tools for building a high-frequency trading system Address the most essential aspects of high-frequency trading, from formulation of ideas to performance evaluation The book also includes a companion Website where selected sample trading strategies can be downloaded and tested Written by respected industry expert Irene Aldridge While interest in high-frequency trading continues to grow, little has been published to help investors understand and implement this approach—until now. This book has everything you need to gain a firm grip on how high-frequency trading works and what it takes to apply it to your everyday trading endeavors.
Handbook of Modeling High-Frequency Data in Finance
- Author : Frederi G. Viens,Maria Cristina Mariani,Ionut Florescu
- Publisher : John Wiley & Sons
- Release Date : 2011-12-20
- Total pages : 468
- ISBN : 9780470876886
- File Size : 39,8 Mb
- Total Download : 871
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CUTTING-EDGE DEVELOPMENTS IN HIGH-FREQUENCY FINANCIAL ECONOMETRICS In recent years, the availability of high-frequency data and advances in computing have allowed financial practitioners to design systems that can handle and analyze this information. Handbook of Modeling High-Frequency Data in Finance addresses the many theoretical and practical questions raised by the nature and intrinsic properties of this data. A one-stop compilation of empirical and analytical research, this handbook explores data sampled with high-frequency finance in financial engineering, statistics, and the modern financial business arena. Every chapter uses real-world examples to present new, original, and relevant topics that relate to newly evolving discoveries in high-frequency finance, such as: Designing new methodology to discover elasticity and plasticity of price evolution Constructing microstructure simulation models Calculation of option prices in the presence of jumps and transaction costs Using boosting for financial analysis and trading The handbook motivates practitioners to apply high-frequency finance to real-world situations by including exclusive topics such as risk measurement and management, UHF data, microstructure, dynamic multi-period optimization, mortgage data models, hybrid Monte Carlo, retirement, trading systems and forecasting, pricing, and boosting. The diverse topics and viewpoints presented in each chapter ensure that readers are supplied with a wide treatment of practical methods. Handbook of Modeling High-Frequency Data in Finance is an essential reference for academics and practitioners in finance, business, and econometrics who work with high-frequency data in their everyday work. It also serves as a supplement for risk management and high-frequency finance courses at the upper-undergraduate and graduate levels.
Algorithmic and High-Frequency Trading
- Author : Álvaro Cartea,Sebastian Jaimungal,José Penalva
- Publisher : Cambridge University Press
- Release Date : 2015-08-06
- Total pages : 360
- ISBN : 9781107091146
- File Size : 45,7 Mb
- Total Download : 203
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A straightforward guide to the mathematics of algorithmic trading that reflects cutting-edge research.
The Handbook of High Frequency Trading

- Author : Greg N. Gregoriou
- Publisher : Unknown
- Release Date : 2015
- Total pages : 229
- ISBN : 1786841061
- File Size : 53,7 Mb
- Total Download : 649
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Reveals the mechanics of high frequency trading markets while including the econometrics of the modeling process.
Routledge Handbook of Financial Technology and Law
- Author : Iris H-Y Chiu,Gudula Deipenbrock
- Publisher : Routledge
- Release Date : 2021-04-30
- Total pages : 486
- ISBN : 9781000364668
- File Size : 36,6 Mb
- Total Download : 776
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Financial technology is rapidly changing and shaping financial services and markets. These changes are considered making the future of finance a digital one.This Handbook analyses developments in the financial services, products and markets that are being reshaped by technologically driven changes with a view to their policy, regulatory, supervisory and other legal implications. The Handbook aims to illustrate the crucial role the law has to play in tackling the revolutionary developments in the financial sector by offering a framework of legally enforceable principles and values in which such innovations might take place without threatening the acquis of financial markets law and more generally the rule of law and basic human rights. With contributions from international leading experts, topics will include: Policy, High-level Principles, Trends and Perspectives Fintech and Lending Fintech and Payment Services Fintech, Investment and Insurance Services Fintech, Financial Inclusion and Sustainable Finance Cryptocurrencies and Cryptoassets Markets and Trading Regtech and Suptech This Handbook will be of great relevance for practitioners and students alike, and a first reference point for academics researching in the fields of banking and financial markets law.
Flash Boys: A Wall Street Revolt
- Author : Michael Lewis
- Publisher : W. W. Norton & Company
- Release Date : 2014-03-31
- Total pages : 288
- ISBN : 9780393244663
- File Size : 32,9 Mb
- Total Download : 383
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Argues that post-crisis Wall Street continues to be controlled by large banks and explains how a small, diverse group of Wall Street men have banded together to reform the financial markets.
High-Frequency Financial Econometrics
- Author : Yacine Aït-Sahalia,Jean Jacod
- Publisher : Princeton University Press
- Release Date : 2014-07-21
- Total pages : 683
- ISBN : 9780691161433
- File Size : 30,6 Mb
- Total Download : 970
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A comprehensive introduction to the statistical and econometric methods for analyzing high-frequency financial data High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. Over the last fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has been driven by the increasing availability of such data, the technological advancements that make high-frequency trading strategies possible, and the need of practitioners to analyze these data. This comprehensive book introduces readers to these emerging methods and tools of analysis. Yacine Aït-Sahalia and Jean Jacod cover the mathematical foundations of stochastic processes, describe the primary characteristics of high-frequency financial data, and present the asymptotic concepts that their analysis relies on. Aït-Sahalia and Jacod also deal with estimation of the volatility portion of the model, including methods that are robust to market microstructure noise, and address estimation and testing questions involving the jump part of the model. As they demonstrate, the practical importance and relevance of jumps in financial data are universally recognized, but only recently have econometric methods become available to rigorously analyze jump processes. Aït-Sahalia and Jacod approach high-frequency econometrics with a distinct focus on the financial side of matters while maintaining technical rigor, which makes this book invaluable to researchers and practitioners alike.
The Handbook of Equity Market Anomalies
- Author : Leonard Zacks
- Publisher : John Wiley & Sons
- Release Date : 2011-08-24
- Total pages : 352
- ISBN : 9781118127766
- File Size : 28,5 Mb
- Total Download : 851
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Investment pioneer Len Zacks presents the latest academicresearch on how to beat the market using equity anomalies The Handbook of Equity Market Anomalies organizes andsummarizes research carried out by hundreds of finance andaccounting professors over the last twenty years to identify andmeasure equity market inefficiencies and provides self-directedindividual investors with a framework for incorporating the resultsof this research into their own investment processes. Edited by LenZacks, CEO of Zacks Investment Research, and written by leadingprofessors who have performed groundbreaking research on specificanomalies, this book succinctly summarizes the most importantanomalies that savvy investors have used for decades to beat themarket. Some of the anomalies addressed include the accrual anomaly, netstock anomalies, fundamental anomalies, estimate revisions, changesin and levels of broker recommendations, earnings-per-sharesurprises, insider trading, price momentum and technical analysis,value and size anomalies, and several seasonal anomalies. Thisreliable resource also provides insights on how to best use thevarious anomalies in both market neutral and in long investorportfolios. A treasure trove of investment research and wisdom, thebook will save you literally thousands of hours by distilling theessence of twenty years of academic research into eleven clearchapters and providing the framework and conviction to developmarket-beating strategies. Strips the academic jargon from the research and highlights theactual returns generated by the anomalies, and documented in theacademic literature Provides a theoretical framework within which to understand theconcepts of risk adjusted returns and market inefficiencies Anomalies are selected by Len Zacks, a pioneer in the field ofinvesting As the founder of Zacks Investment Research, Len Zacks pioneeredthe concept of the earnings-per-share surprise in 1982 anddeveloped the Zacks Rank, one of the first anomaly-based stockselection tools. Today, his firm manages U.S. equities forindividual and institutional investors and provides investmentsoftware and investment data to all types of investors. Now, withhis new book, he shows you what it takes to build a quant processto outperform an index based on academically documented marketinefficiencies and anomalies.
The Handbook of Electronic Trading
- Author : Joseph Rosen
- Publisher : Unknown
- Release Date : 2009-06-18
- Total pages : 0
- ISBN : 0981464602
- File Size : 22,8 Mb
- Total Download : 412
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This book provides a comprehensive look at the challenges of keeping up with liquidity needs and technology advancements. It is also a sourcebook for understandable, practical solutions on trading and technology.
Building Winning Algorithmic Trading Systems
- Author : Kevin J. Davey
- Publisher : John Wiley & Sons
- Release Date : 2014-06-11
- Total pages : 288
- ISBN : 9781118778883
- File Size : 33,7 Mb
- Total Download : 418
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Develop your own trading system with practical guidance and expert advice In Building Algorithmic Trading Systems: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Training, award-winning trader Kevin Davey shares his secrets for developing trading systems that generate triple-digit returns. With both explanation and demonstration, Davey guides you step-by-step through the entire process of generating and validating an idea, setting entry and exit points, testing systems, and implementing them in live trading. You'll find concrete rules for increasing or decreasing allocation to a system, and rules for when to abandon one. The companion website includes Davey's own Monte Carlo simulator and other tools that will enable you to automate and test your own trading ideas. A purely discretionary approach to trading generally breaks down over the long haul. With market data and statistics easily available, traders are increasingly opting to employ an automated or algorithmic trading system—enough that algorithmic trades now account for the bulk of stock trading volume. Building Algorithmic Trading Systems teaches you how to develop your own systems with an eye toward market fluctuations and the impermanence of even the most effective algorithm. Learn the systems that generated triple-digit returns in the World Cup Trading Championship Develop an algorithmic approach for any trading idea using off-the-shelf software or popular platforms Test your new system using historical and current market data Mine market data for statistical tendencies that may form the basis of a new system Market patterns change, and so do system results. Past performance isn't a guarantee of future success, so the key is to continually develop new systems and adjust established systems in response to evolving statistical tendencies. For individual traders looking for the next leap forward, Building Algorithmic Trading Systems provides expert guidance and practical advice.
Inside the Black Box
- Author : Rishi K. Narang
- Publisher : John Wiley & Sons
- Release Date : 2013-03-25
- Total pages : 343
- ISBN : 9781118362419
- File Size : 25,8 Mb
- Total Download : 677
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New edition of book that demystifies quant and algo trading In this updated edition of his bestselling book, Rishi K Narang offers in a straightforward, nontechnical style—supplemented by real-world examples and informative anecdotes—a reliable resource takes you on a detailed tour through the black box. He skillfully sheds light upon the work that quants do, lifting the veil of mystery around quantitative trading and allowing anyone interested in doing so to understand quants and their strategies. This new edition includes information on High Frequency Trading. Offers an update on the bestselling book for explaining in non-mathematical terms what quant and algo trading are and how they work Provides key information for investors to evaluate the best hedge fund investments Explains how quant strategies fit into a portfolio, why they are valuable, and how to evaluate a quant manager This new edition of Inside the Black Box explains quant investing without the jargon and goes a long way toward educating investment professionals.
The Book of Alternative Data
- Author : Alexander Denev,Saeed Amen
- Publisher : John Wiley & Sons
- Release Date : 2020-06-29
- Total pages : 416
- ISBN : 9781119601807
- File Size : 52,8 Mb
- Total Download : 515
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The first and only book to systematically address methodologies and processes of leveraging non-traditional information sources in the context of investing and risk management Harnessing non-traditional data sources to generate alpha, analyze markets, and forecast risk is a subject of intense interest for financial professionals. A growing number of regularly-held conferences on alternative data are being established, complemented by an upsurge in new papers on the subject. Alternative data is starting to be steadily incorporated by conventional institutional investors and risk managers throughout the financial world. Methodologies to analyze and extract value from alternative data, guidance on how to source data and integrate data flows within existing systems is currently not treated in literature. Filling this significant gap in knowledge, The Book of Alternative Data is the first and only book to offer a coherent, systematic treatment of the subject. This groundbreaking volume provides readers with a roadmap for navigating the complexities of an array of alternative data sources, and delivers the appropriate techniques to analyze them. The authors—leading experts in financial modeling, machine learning, and quantitative research and analytics—employ a step-by-step approach to guide readers through the dense jungle of generated data. A first-of-its kind treatment of alternative data types, sources, and methodologies, this innovative book: Provides an integrated modeling approach to extract value from multiple types of datasets Treats the processes needed to make alternative data signals operational Helps investors and risk managers rethink how they engage with alternative datasets Features practical use case studies in many different financial markets and real-world techniques Describes how to avoid potential pitfalls and missteps in starting the alternative data journey Explains how to integrate information from different datasets to maximize informational value The Book of Alternative Data is an indispensable resource for anyone wishing to analyze or monetize different non-traditional datasets, including Chief Investment Officers, Chief Risk Officers, risk professionals, investment professionals, traders, economists, and machine learning developers and users.
Market Microstructure Theory
- Author : Maureen O'Hara
- Publisher : John Wiley & Sons
- Release Date : 1998-03-06
- Total pages : 306
- ISBN : 9780631207610
- File Size : 33,5 Mb
- Total Download : 405
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Written by one of the leading authorities in market microstructure research, this book provides a comprehensive guide to the theoretical work in this important area of finance.
High-frequency Trading And Probability Theory
- Author : Wang Zhaodong,Zheng Weian
- Publisher : World Scientific
- Release Date : 2014-09-11
- Total pages : 192
- ISBN : 9789814616539
- File Size : 16,9 Mb
- Total Download : 853
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This book is the first of its kind to treat high-frequency trading and technical analysis as accurate sciences. The authors reveal how to build trading algorithms of high-frequency trading and obtain stable statistical arbitrage from the financial market in detail. The authors' arguments are based on rigorous mathematical and statistical deductions and this will appeal to people who believe in the theoretical aspect of the topic.Investors who believe in technical analysis will find out how to verify the efficiency of their technical arguments by ergodic theory of stationary stochastic processes, which form a mathematical background for technical analysis. The authors also discuss technical details of the IT system design for high-frequency trading.
The Handbook of Trading: Strategies for Navigating and Profiting from Currency, Bond, and Stock Markets
- Author : Greg N. Gregoriou
- Publisher : McGraw Hill Professional
- Release Date : 2010-05-14
- Total pages : 512
- ISBN : 0071743545
- File Size : 35,5 Mb
- Total Download : 431
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Make the post-meltdown markets work for you, using the unparalleled insight of today’s top global investing experts! “This book provides a collection of papers that examine trading execution, technical trading, and trading strategies, as well as algorithms in different markets (equities, forex, fixed income, exchange traded funds, derivatives, and commodities) around the world. This is particularly relevant given the recent explosion in trading volumes.” Tarun Chordia, R. Howard Dobbs Chair in Finance, Goizueta Business School, Emory University “This book uses a number of well-respected authors in the area of asset trading. It provides a comprehensive analysis of trading-related issues covering momentum trading, algorithmic trading, the use of technical trading rules, strategies for ETFs, and the role of trading volume.” Professor John Cotter, Director of the Centre for Financial Markets, University College Dublin School of Business, University College Dublin “The Handbook of Trading is a good reference tool for both practitioners and academics. The contents cover a wide range of topical issues.” Professor Robert McGee, Director of the Center for Accounting, Auditing, and Tax Studies, College of Business Administration, Florida International University About the Book: Given today’s market volatility, even the most advanced investors can be unsure of their next move. Rather than rely on one or two individuals who claim general knowledge on any given investing topic, you need the advice of professionals who have spent their entire careers developing real expertise on more focused sectors of the market. The Handbook of Trading is the only book available that provides just that. Greg N. Gregoriou has amassed forty of the world’s top academics, researchers, and practitioners who explain how to make today’s markets work for you. With this highly technical but ultimately practical guide, you have access to a broad array of trading strategies that will put you light years ahead of the competition—regardless of the state of the market. From technical analysis and momentum trading to algorithmic and FOREX trading, The Handbook of Trading introduces you to techniques and insights never before published, each of which has been rigorously back-tested and analyzed. Chapters include: Performance Leakage and Value Discounts on the Toronto Stock Exchange Lawrence Kryzanowski and Skander Lazrak Trading in Turbulent Markets: Does Momentum Work? Tim A. Herberger and Daniel M. Kohlert Profitability of Technical Trading Rules in an Emerging Market Dimitris Kenourgios and Spyros Papathanasiou Leveraged Exchange-Traded Funds and Their Trading Strategies Narat Charupat The Impact of Algorithmic Trading Models on the Stock Market Ohannes G. Paskelian Applying critical lessons learned from the financial crisis of 2008–2009, the contributors explain how to approach turbulent market environments and adjust your trading methodologies accordingly. The Handbook of Trading is the go-to guide for financial professionals seeking profits in today’s currency, bond, and stock markets. Correlating PowerPoint slides and reading questions created by the contributors appear on http://www.mhprofessional.com/handbookoftrading.
Trading with Ichimoku Clouds
- Author : Manesh Patel
- Publisher : John Wiley & Sons
- Release Date : 2010-05-18
- Total pages : 224
- ISBN : 9780470634776
- File Size : 20,6 Mb
- Total Download : 816
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The essential guide to today's hottest technical indicator-the Ichimoku Kinko Hyo cloud chart Ichimoku Kinko Hyo is a technical system that illustrates support and resistance values in a simplified form and is considered an extension of the very popular candlestick charting system. In fact, the system was built on the idea that at "one glance" you should be able to determine whether an instrument is in equilibrium (consolidation) or out of equilibrium (trending). Written in a straightforward and accessible style, Trading with Ichimoku Clouds offers a solid foundation in this discipline as well as its technical strategies. It shows you how to create and implement a trading plan based on this approach that can easily be tailored to your trading style. First available U.S. publication on this hot trading trend Reveals how Ichimoku Clouds work in both bullish and bearish markets Highlights how these strategies can easily be adopted for stocks, futures, bonds, and other vehicles Works with all timeframes and all tradable instruments Filled with in-depth insights and expert advice, Trading with Ichimoku Clouds will help you implement a proven strategy designed to capture trends that maximize profits and minimize losses. Furthermore, the user will be taken step by step through the entire decision-making process of trading an instrument for two years (back test).
Dark Pools
- Author : Scott Patterson
- Publisher : Crown Pub
- Release Date : 2012
- Total pages : 370
- ISBN : 9780307887177
- File Size : 13,9 Mb
- Total Download : 608
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Evaluates the cost and consequences of high-speed trading, arguing that the development of automatic, super-intelligent trading machines is eliminating necessary human interests and compromising regulation measures.
An Introduction to High-Frequency Finance
- Author : Ramazan Gençay,Michel Dacorogna,Ulrich A. Muller,Olivier Pictet,Richard Olsen
- Publisher : Elsevier
- Release Date : 2001-05-29
- Total pages : 383
- ISBN : 9780080499048
- File Size : 41,8 Mb
- Total Download : 827
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Liquid markets generate hundreds or thousands of ticks (the minimum change in price a security can have, either up or down) every business day. Data vendors such as Reuters transmit more than 275,000 prices per day for foreign exchange spot rates alone. Thus, high-frequency data can be a fundamental object of study, as traders make decisions by observing high-frequency or tick-by-tick data. Yet most studies published in financial literature deal with low frequency, regularly spaced data. For a variety of reasons, high-frequency data are becoming a way for understanding market microstructure. This book discusses the best mathematical models and tools for dealing with such vast amounts of data. This book provides a framework for the analysis, modeling, and inference of high frequency financial time series. With particular emphasis on foreign exchange markets, as well as currency, interest rate, and bond futures markets, this unified view of high frequency time series methods investigates the price formation process and concludes by reviewing techniques for constructing systematic trading models for financial assets.
Algorithmic Trading
- Author : Ernie Chan
- Publisher : John Wiley & Sons
- Release Date : 2013-05-28
- Total pages : 230
- ISBN : 9781118460146
- File Size : 55,9 Mb
- Total Download : 136
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Praise for Algorithmic TRADING “Algorithmic Trading is an insightful book on quantitative trading written by a seasoned practitioner. What sets this book apart from many others in the space is the emphasis on real examples as opposed to just theory. Concepts are not only described, they are brought to life with actual trading strategies, which give the reader insight into how and why each strategy was developed, how it was implemented, and even how it was coded. This book is a valuable resource for anyone looking to create their own systematic trading strategies and those involved in manager selection, where the knowledge contained in this book will lead to a more informed and nuanced conversation with managers.” —DAREN SMITH, CFA, CAIA, FSA, Managing Director, Manager Selection & Portfolio Construction, University of Toronto Asset Management “Using an excellent selection of mean reversion and momentum strategies, Ernie explains the rationale behind each one, shows how to test it, how to improve it, and discusses implementation issues. His book is a careful, detailed exposition of the scientific method applied to strategy development. For serious retail traders, I know of no other book that provides this range of examples and level of detail. His discussions of how regime changes affect strategies, and of risk management, are invaluable bonuses.” —ROGER HUNTER, Mathematician and Algorithmic Trader