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Author: Josh Luberisse
Publisher: Fortis Novum Mundum
ISBN:
Category : Business & Economics
Languages : en
Pages : 122
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Book Description
In "The Quant Trader's Handbook," Josh masterfully navigates the intricate world of algorithmic trading, shedding light on its various complexities and revealing the secrets that drive the success of some of the most prominent quantitative hedge funds and traders. Through a blend of captivating storytelling and rigorous analysis, this guide offers readers an unparalleled opportunity to delve into the mechanics of quantitative trading, exploring the strategies, technologies, and practices that have transformed the financial landscape. As modern markets continue to be shaped by the silent precision of algorithms, it becomes essential for traders and investors to understand the underlying mechanics that drive these systems. This book promises to immerse its readers in the rich tapestry of the algorithmic trading realm, stretching from its nascent beginnings in the 1970s to the AI-integrated strategies of the 21st century. Inside, you'll embark on a chronological journey starting with the pioneering days of electronic stock markets and culminating in the sophisticated high-frequency trading systems of today. Alongside this, Josh takes you through the ins and outs of popular quantitative trading strategies, illustrated with intuitive pseudocode examples, like the Moving Average Crossover and the Pair Trading Strategy, ensuring even those new to the domain can grasp the nuances. But this isn't just a book about code and numbers. The Quant Trader's Handbook paints the bigger picture. With detailed network diagrams, you'll gain insights into the architectural complexity and beauty of modern trading systems, understanding how various components seamlessly intertwine to make real-time decisions in the blink of an eye. As you embark on this journey with Josh, you'll discover the foundational concepts of algorithmic trading, unravel the mysteries of quantitative analysis and modeling, and gain valuable insights into the inner workings of execution and order management. From the depths of data mining techniques to the heights of infrastructure and technology, each chapter is meticulously crafted to provide a thorough understanding of the various aspects that contribute to a successful algorithmic trading business. In addition to its wealth of practical knowledge, "The Quant Trader's Handbook" also delves into the regulatory and compliance considerations that are essential for navigating today's financial markets. With a keen eye for detail and a remarkable ability to contextualize even the most technical topics, Josh brings to life the fascinating stories of industry giants like Renaissance Technologies, DE Shaw, and Two Sigma, painting a vivid picture of the rise of quantitative finance. Whether you're an aspiring quant looking to make your mark in the world of finance, an investor trying to demystify the black box of algorithmic trading, or merely a curious soul eager to understand how bits and bytes are silently shaping the financial world, "The Quant Trader's Handbook" is an indispensable resource that will captivate, inform, and inspire you. Join Josh as he unravels the secrets of the world's most successful traders and embark on a journey that may just change the way you see the markets forever.
Author: Josh Luberisse
Publisher: Fortis Novum Mundum
ISBN:
Category : Business & Economics
Languages : en
Pages : 122
Get Book Here
Book Description
In "The Quant Trader's Handbook," Josh masterfully navigates the intricate world of algorithmic trading, shedding light on its various complexities and revealing the secrets that drive the success of some of the most prominent quantitative hedge funds and traders. Through a blend of captivating storytelling and rigorous analysis, this guide offers readers an unparalleled opportunity to delve into the mechanics of quantitative trading, exploring the strategies, technologies, and practices that have transformed the financial landscape. As modern markets continue to be shaped by the silent precision of algorithms, it becomes essential for traders and investors to understand the underlying mechanics that drive these systems. This book promises to immerse its readers in the rich tapestry of the algorithmic trading realm, stretching from its nascent beginnings in the 1970s to the AI-integrated strategies of the 21st century. Inside, you'll embark on a chronological journey starting with the pioneering days of electronic stock markets and culminating in the sophisticated high-frequency trading systems of today. Alongside this, Josh takes you through the ins and outs of popular quantitative trading strategies, illustrated with intuitive pseudocode examples, like the Moving Average Crossover and the Pair Trading Strategy, ensuring even those new to the domain can grasp the nuances. But this isn't just a book about code and numbers. The Quant Trader's Handbook paints the bigger picture. With detailed network diagrams, you'll gain insights into the architectural complexity and beauty of modern trading systems, understanding how various components seamlessly intertwine to make real-time decisions in the blink of an eye. As you embark on this journey with Josh, you'll discover the foundational concepts of algorithmic trading, unravel the mysteries of quantitative analysis and modeling, and gain valuable insights into the inner workings of execution and order management. From the depths of data mining techniques to the heights of infrastructure and technology, each chapter is meticulously crafted to provide a thorough understanding of the various aspects that contribute to a successful algorithmic trading business. In addition to its wealth of practical knowledge, "The Quant Trader's Handbook" also delves into the regulatory and compliance considerations that are essential for navigating today's financial markets. With a keen eye for detail and a remarkable ability to contextualize even the most technical topics, Josh brings to life the fascinating stories of industry giants like Renaissance Technologies, DE Shaw, and Two Sigma, painting a vivid picture of the rise of quantitative finance. Whether you're an aspiring quant looking to make your mark in the world of finance, an investor trying to demystify the black box of algorithmic trading, or merely a curious soul eager to understand how bits and bytes are silently shaping the financial world, "The Quant Trader's Handbook" is an indispensable resource that will captivate, inform, and inspire you. Join Josh as he unravels the secrets of the world's most successful traders and embark on a journey that may just change the way you see the markets forever.
Author: Paul Wilmott
Publisher: John Wiley & Sons
ISBN: 0470972963
Category : Business & Economics
Languages : en
Pages : 397
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Book Description
Paul Wilmott writes, "Quantitative finance is the most fascinating and rewarding real-world application of mathematics. It is fascinating because of the speed at which the subject develops, the new products and the new models which we have to understand. And it is rewarding because anyone can make a fundamental breakthrough. "Having worked in this field for many years, I have come to appreciate the importance of getting the right balance between mathematics and intuition. Too little maths and you won't be able to make much progress, too much maths and you'll be held back by technicalities. I imagine, but expect I will never know for certain, that getting the right level of maths is like having the right equipment to climb Mount Everest; too little and you won't make the first base camp, too much and you'll collapse in a heap before the top. "Whenever I write about or teach this subject I also aim to get the right mix of theory and practice. Finance is not a hard science like physics, so you have to accept the limitations of the models. But nor is it a very soft science, so without those models you would be at a disadvantage compared with those better equipped. I believe this adds to the fascination of the subject. "This FAQs book looks at some of the most important aspects of financial engineering, and considers them from both theoretical and practical points of view. I hope that you will see that finance is just as much fun in practice as in theory, and if you are reading this book to help you with your job interviews, good luck! Let me know how you get on!"
Author: Manoj Thulasidas
Publisher: John Wiley & Sons
ISBN: 0470971525
Category : Business & Economics
Languages : en
Pages : 253
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Book Description
Principles of Quantitative Development is a practical guide to designing, building and deploying a trading platform. It is also a lucid and succinct exposé on the trade life cycle and the business groups involved in managing it, bringing together the big picture of how a trade flows through the systems, and the role of a quantitative professional in the organization. The book begins by looking at the need and demand for in-house trading platforms, addressing the current trends in the industry. It then looks at the trade life cycle and its participants, from beginning to end, and then the functions within the front, middle and back office, giving the reader a full understanding and appreciation of the perspectives and needs of each function. The book then moves on to platform design, addressing all the fundamentals of platform design, system architecture, programming languages and choices. Finally, the book focuses on some of the more technical aspects of platform design and looks at traditional and new languages and approaches used in modern quantitative development. The book is accompanied by a CD-ROM, featuring a fully working option pricing tool with source code and project building instructions, illustrating the design principles discussed, and enabling the reader to develop a mini-trading platform. The book is also accompanied by a website http://pqd.thulasidas.com that contains updates and companion materials.
Author: Xin Guo
Publisher: CRC Press
ISBN: 1315354357
Category : Business & Economics
Languages : en
Pages : 414
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Book Description
The first part of this book discusses institutions and mechanisms of algorithmic trading, market microstructure, high-frequency data and stylized facts, time and event aggregation, order book dynamics, trading strategies and algorithms, transaction costs, market impact and execution strategies, risk analysis, and management. The second part covers market impact models, network models, multi-asset trading, machine learning techniques, and nonlinear filtering. The third part discusses electronic market making, liquidity, systemic risk, recent developments and debates on the subject.
Author: Raja Velu
Publisher: CRC Press
ISBN: 1498737218
Category : Business & Economics
Languages : en
Pages : 431
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Book Description
Algorithmic Trading and Quantitative Strategies provides an in-depth overview of this growing field with a unique mix of quantitative rigor and practitioner’s hands-on experience. The focus on empirical modeling and practical know-how makes this book a valuable resource for students and professionals. The book starts with the often overlooked context of why and how we trade via a detailed introduction to market structure and quantitative microstructure models. The authors then present the necessary quantitative toolbox including more advanced machine learning models needed to successfully operate in the field. They next discuss the subject of quantitative trading, alpha generation, active portfolio management and more recent topics like news and sentiment analytics. The last main topic of execution algorithms is covered in detail with emphasis on the state of the field and critical topics including the elusive concept of market impact. The book concludes with a discussion on the technology infrastructure necessary to implement algorithmic strategies in large-scale production settings. A git-hub repository includes data-sets and explanatory/exercise Jupyter notebooks. The exercises involve adding the correct code to solve the particular analysis/problem.
Author: Stefano Fiorenzani
Publisher: John Wiley & Sons
ISBN: 1119953693
Category : Business & Economics
Languages : en
Pages : 224
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Book Description
To thrive in today's booming energy trading market you need cutting-edge knowledge of the latest energy trading strategies, backed up by rigorous testing and practical application Unique in its practical approach, The Handbook of Energy Trading is your definitive guide. It provides a valuable insight into the latest strategies for trading energy—all tried and tested in maintaining a competitive advantage—illustrated with up-to-the-minute case studies from the energy sector. The handbook takes you through the key aspects of energy trading, from operational strategies and mathematical methods to practical techniques, with advice on structuring your energy trading business to optimise success in the energy market. A unique integrated market approach by authors who combine academic theory with vast professional and practical experience Guidance on the types of energy trading strategies and instruments and how they should be used Soaring prices and increasingly complex global markets have created an explosion in the need for robust technical knowledge in the field of energy trading, derivatives, and risk management. The Handbook of Energy Trading is essential reading for all energy trading professionals, energy traders, and risk managers, and in fact anyone who has ever asked: 'what is energy trading?'
Author: Xinfeng Zhou
Publisher:
ISBN: 9781735028804
Category : Business & Economics
Languages : en
Pages : 210
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Book Description
This book will prepare you for quantitative finance interviews by helping you zero in on the key concepts that are frequently tested in such interviews. In this book we analyze solutions to more than 200 real interview problems and provide valuable insights into how to ace quantitative interviews. The book covers a variety of topics that you are likely to encounter in quantitative interviews: brain teasers, calculus, linear algebra, probability, stochastic processes and stochastic calculus, finance and programming.
Author: Russell Rhoads
Publisher: Harriman House Limited
ISBN: 0857197126
Category : Business & Economics
Languages : en
Pages : 145
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Book Description
Russell Rhoads is one of America’s leading experts on VIX, the Volatility Index. In The VIX Trader’s Handbook he takes a deep dive into all things associated with volatility indexes and related trading vehicles. The handbook begins with an explanation of what VIX is, how it is calculated, and why it behaves the way it does in various market environments. It also explains the various methods of getting exposure to volatility through listed markets. The focus then moves on to demonstrate how traders take advantage of various scenarios using futures, options, or ETPs linked to the performance of VIX. Finally, a comprehensive review is presented of volatility events that shook the markets, including the 1987 crash, Great Financial Crisis, 2010 flash crash, and the 2020 pandemic. By understanding how VIX behaved leading up to these market shocks, and reacted afterwards, traders can better equip themselves ahead of future events. A wide variety of strategies that are implemented in both bearish and bullish equity markets are introduced and covered extensively throughout. The VIX Trader’s Handbook is essential reading for all those who are intending to trade volatility—from those who wish to gain an understanding of how VIX and the related trading products behave, to those intending to hedge equity exposure or take advantage of the persistent overpricing of option volatility. You won’t want to trade volatility without it.
Author: Agustin Lebron
Publisher: John Wiley & Sons
ISBN: 1119574218
Category : Business & Economics
Languages : en
Pages : 310
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Book Description
Every decision is a trade. Learn to think about the ones you should do — and the ones you shouldn’t. Trading books generally break down into two categories: the ones which claim to teach you how to make money trading, and the memoir-style books recounting scandals and bad behavior. But the former don't have profitable trades to teach; if they did they'd keep those trades to themselves. And the latter are frequently entertaining, but they don't leave you with much you can apply in your own life. The Laws of Trading is different. All of our relationships and decisions involve trading at some level. This is a book about decision-making through the lens of a professional prop trader. For years, behavioral and cognitive scientists have shown us how human decision-making is flawed and biased. But how do you learn to avoid these problems in day-to-day decisions where you have to react in real-time? What are the important things to think about and to act on? The world needs a book by a prop trader who has lived, breathed and taught trading for a living, drawing upon years of insights on the trading floor in real markets, good and bad, whether going sideways, crashing, or bubbling over. If you can master the decision-making skills needed to profitably trade in modern markets, you can master decision-making in all walks of life. This book will teach you exactly those skills. Introduces, develops, and applies one law per chapter, making it easy not only to remember useful concepts, but also to have them at the ready in any situation. Shows you how to find and think about the “special edge” of your organization, and yourself. Teaches you how to handle the interaction of people with artificially intelligent (AI) machines that make decisions, a skill that is rapidly becoming essential in the AI-driven economy of the future. Includes a "bonus" digital ancillary, an Excel spreadsheet with various worked examples that expand on the scenarios described in the book. Do you need to make rational decisions in a competitive environment? Almost everyone does. This book will teach you the tools that let you do your job better.
Author: Alexander Denev
Publisher: John Wiley & Sons
ISBN: 1119601797
Category : Business & Economics
Languages : en
Pages : 416
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Book Description
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.
