Professional Automated Trading: Theory and Practice (Wiley Trading) 1st Edition, Kindle Edition
Eugene A. Durenard (Author) Find all the books, read about the author, and more. See search results for this author |


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Reflecting author Eugene Durenard's extensive experience in this field, Professional Automated Trading offers valuable insights you won't find anywhere else. It reveals how a series of concepts and techniques coming from current research in artificial life and modern control theory can be applied to the design of effective trading systems that outperform the majority of published trading systems. It also skillfully provides you with essential information on the practical coding and implementation of a scalable systematic trading architecture.
Based on years of practical experience in building successful research and infrastructure processes for purpose of trading at several frequencies, this book is designed to be a comprehensive guide for understanding the theory of design and the practice of implementation of an automated systematic trading process at an institutional scale.
- Discusses several classical strategies and covers the design of efficient simulation engines for back and forward testing
- Provides insights on effectively implementing a series of distributed processes that should form the core of a robust and fault-tolerant automated systematic trading architecture
- Addresses trade execution optimization by studying market-pressure models and minimization of costs via applications of execution algorithms
- Introduces a series of novel concepts from artificial life and modern control theory that enhance robustness of the systematic decision making—focusing on various aspects of adaptation and dynamic optimal model choice
Engaging and informative, Proprietary Automated Trading covers the most important aspects of this endeavor and will put you in a better position to excel at it.
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Editorial Reviews
From the Inside Flap
Trading is a science based on a variety of fields, from mathematics to physics. It is also an art based on knowing and respecting the markets and, equally important, knowing oneself. But most of all, trading is a business that hinges on a carefully understood discipline and process of seeking reward in the face of risk.
No one is more familiar with this than author Eugene Durenard. A recognized expert in automated tradingwho has long incorporated aspects of artificial life and robotics systems research into his tradinghe knows what it takes to create systematic trading strategies that are adaptive and opportunistic. Now, with this new book, he shares those valuable insights with you. Whether you're part of a professional prop trading desk or an ambitious individual trader, this practical guide will put you in a better position to successfully navigate today's competitive markets.
Divided into four comprehensive parts, Professional Automated Trading: Theory and Practice opens with an introductory chapter that sets the stage for modern systematic trading. It critically examines the merits of systematic trading from a philosophical and psychological perspective, as well as focuses on it as a business activity.
With this information in hand, Durenard moves on to skillfully cover the theory, practice, and technologies needed to excel at this endeavor.
- Part I introduces the basic conceptual and programmatic framework for the design of trading strategies as trading agentsexploring data representation, indicators, basic model types, and techniques to test them
- Part II introduces innovative concepts designed to tackle adaptation of trading strategies to changing market conditions. Those include Swarm Systems that help navigate the higher complexity of the markets at lower timescales
- Part III focuses on the important aspect of trading costs and slippagediscussing the analysis of the intraday bid-offer and volume seasonality in major markets and detailing several algorithmic execution strategies designed to help reduce market impact
- Part IV presents the practical implementation of a real-time, low-latency automated trading infrastructure designed to support a Swarm of Trading Agents operating on a collection of Electronic Commerce Networks (ECNs)
Engaging and accessible, Professional Automated Trading contains the information you need to make the most of automated trading in free markets.
--This text refers to the hardcover edition.From the Back Cover
Trading is a science based on a variety of fields, from mathematics to physics. It is also an art based on knowing and respecting the markets and, equally important, knowing oneself. But most of all, trading is a business that hinges on a carefully understood discipline and process of seeking reward in the face of risk.
No one is more familiar with this than author Eugene Durenard. A recognized expert in automated tradingwho has long incorporated aspects of artificial life and robotics systems research into his tradinghe knows what it takes to create systematic trading strategies that are adaptive and opportunistic. Now, with this new book, he shares those valuable insights with you. Whether you're part of a professional prop trading desk or an ambitious individual trader, this practical guide will put you in a better position to successfully navigate today's competitive markets.
Divided into four comprehensive parts, Professional Automated Trading: Theory and Practice opens with an introductory chapter that sets the stage for modern systematic trading. It critically examines the merits of systematic trading from a philosophical and psychological perspective, as well as focuses on it as a business activity.
With this information in hand, Durenard moves on to skillfully cover the theory, practice, and technologies needed to excel at this endeavor.
- Part I introduces the basic conceptual and programmatic framework for the design of trading strategies as trading agentsexploring data representation, indicators, basic model types, and techniques to test them
- Part II introduces innovative concepts designed to tackle adaptation of trading strategies to changing market conditions. Those include Swarm Systems that help navigate the higher complexity of the markets at lower timescales
- Part III focuses on the important aspect of trading costs and slippagediscussing the analysis of the intraday bid-offer and volume seasonality in major markets and detailing several algorithmic execution strategies designed to help reduce market impact
- Part IV presents the practical implementation of a real-time, low-latency automated trading infrastructure designed to support a Swarm of Trading Agents operating on a collection of Electronic Commerce Networks (ECNs)
Engaging and accessible, Professional Automated Trading contains the information you need to make the most of automated trading in free markets.
--This text refers to the hardcover edition.About the Author
EUGENE A. DURENARD is CEO of DTC Ltd in Bermuda, a firm that specializes in applying systematic techniques to leveraged and real money trading across a wide variety of asset classes. DTC has been acting over the years as investment advisor and manager for a range of institutions including banks, hedge funds, and proprietary trading groups. DTC is currently advising Capital G, the largest private bank in Bermuda, where Eugene acts as Head of Research and Product Development. Eugene is a partner and CIO of ERA Capital Partners, a Chicago-based quantitative systematic Proprietary Trading Group.
--This text refers to the hardcover edition.Product details
- ASIN : B00FO4WZFA
- Publisher : Wiley; 1st edition (October 4, 2013)
- Publication date : October 4, 2013
- Language : English
- File size : 6861 KB
- Text-to-Speech : Enabled
- Screen Reader : Supported
- Enhanced typesetting : Enabled
- X-Ray : Not Enabled
- Word Wise : Enabled
- Print length : 384 pages
- Lending : Enabled
- Best Sellers Rank: #1,677,234 in Kindle Store (See Top 100 in Kindle Store)
- #4,766 in Finance (Kindle Store)
- #6,150 in Investing (Kindle Store)
- #14,900 in Finance (Books)
- Customer Reviews:
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I actually started at the back, because I needed to see how he designed the automated risk sub-system. The fact that substantial attention is devoted to this, should tell you how complete the book is. The entire book is a pretty comprehensive survey of how to build an automated prop trading operation. It's odd that the title says 'professional' whilst the original Wiley description repeatedly refers to the book as 'Proprietary Automated Trading'. This was probably the original title and would have been more appropriate when you see the content.
It's not a book about setting up an HF or automated market-making operation, though some of the strategies discussed could be used at the tick level. The reason is that a large chunk of the book discusses the methodology for measuring performance and optimizing the mix of which strategies are deployed at any one time. This is the real genius (or thought provoking part) of the book. I would previously have assumed that I wanted my mean reversion strategy to be as sophisticated as possible to best predict the range or maybe when to duck for cover. Additionally you might want to couple it with some clever market regime detection.
Durenard does none of that. He runs [effectively paper trades] many strategies with many parameters simultaneously and switches them in and out of real trading based on their 'fitness'. He also optimizes the entire portfolio of strategies. All this is done continuously intra-day. Technically regime detection is done, but it is done by analyzing the performance of the strategies rather than analyzing the market.
Because you need a large amount of infrastructure to achieve all this, it is not really applicable at the CTA or Metatrader level, but it is quite rare for someone to layout a design of how an entire operation should work. For that I would have to award 5 stars, LISP or no LISP.
For those who may be scared off due to the use of actual Common Lisp code instead of pseudo-code, I recommend Peter Seibel's "Practical Common Lisp" (available on Amazon or for free through Peter's site: http:// gigamonkeys . com/book / {remove the spaces}). My major criticism of his code is that Mr. Durenard seems averse to using Lisp's built in LOOP construct, which would have greatly reduced his need to repeatedly loop over the same data set over and over again when calculating trading statistics.
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