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High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems

2017-05-24 
A fully revised second edition of the best guide to high-frequency tradingHigh-frequency trading is
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High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems 去商家看看

High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems

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.

作者简介

IRENE ALDRIDGE is an investment consultant, portfolio manager, a recognized expert on the subjects of quantitative investing and high-frequency trading, and a seasoned educator. She is currently Industry Professor at New York University, Department of Finance and Risk Engineering, Polytechnic Institute, as well as Managing Partner and Quantitative Portfolio Manager at Able Alpha Trading Ltd., an investment consulting firm and a proprietary trading vehicle specializing in quantitative and high-frequency trading strategies. Aldridge is also a founder of AbleMarkets.com, an online resource making the latest high-frequency research for institutional investors and broker-dealers. Aldridge holds an MBA from INSEAD, an MS in financial engineering from Columbia University, a BE in electric engineering from the Cooper union   in New York, and is in the process of completing her PhD at New York University. She is a frequent speaker at top industry events and a contributor to academic, practitioner, and mainstream media publications, including the Journal of Trading, Futures magazine, Reuters HedgeWorld, Advanced Trading, FX Week, FINalternatives, Dealing With Technology, and Huffington Post.

目录

Preface xi

Acknowledgments xiii

Chapter 1 How Modern Markets Differ from Those Past 1

Media, Modern Markets, and HFT 6

HFT as Evolution of Trading Methodology 7

What Is High-Frequency Trading? 13

What Do High-Frequency Traders Do? 15

How Many High-Frequency Traders Are There? 17

Major Players in the HFT Space 17

Organization of This Book 18

Summary 18

End-of-Chapter Questions 19

Chapter 2 Technological Innovations, Systems, and HFT 21

A Brief History of Hardware 21

Messaging 25

Software 33

Summary 35

End-of-Chapter Questions 35

Chapter 3 Market Microstructure, Orders, and Limit Order Books 37

Types of Markets 37

Limit Order Books 39

Aggressive versus Passive Execution 43

Complex Orders 44

Trading Hours 45

Modern Microstructure: Market Convergence and Divergence 46

Fragmentation in Equities 46

Fragmentation in Futures 50

Fragmentation in Options 51

Fragmentation in Forex 51

Fragmentation in Fixed Income 51

Fragmentation in Swaps 51

Summary 52

End-of-Chapter Questions 52

Chapter 4 High-Frequency Data 53

What Is High-Frequency Data? 53

How Is High-Frequency Data Recorded? 54

Properties of High-Frequency Data 56

High-Frequency Data Are Voluminous 57

High-Frequency Data Are Subject to the Bid-Ask Bounce 59

High-Frequency Data Are Not Normal or Lognormal 62

High-Frequency Data Are Irregularly Spaced in Time 62

Most High-Frequency Data Do Not Contain Buy-and-Sell Identifiers 70

Summary 73

End-of-Chapter Questions 74

Chapter 5 Trading Costs 75

Overview of Execution Costs 75

Transparent Execution Costs 76

Implicit Execution Costs 78

Background and Definitions 82

Estimation of Market Impact 85

Empirical Estimation of Permanent Market Impact 88

Summary 96

End-of-Chapter Questions 96

Chapter 6 Performance and Capacity of High-Frequency Trading Strategies 97

Principles of Performance Measurement 97

Basic Performance Measures 98

Comparative Ratios 106

Performance Attribution 110

Capacity Evaluation 112

Alpha Decay 116

Summary 116

End-of-Chapter Questions 116

Chapter 7 The Business of High-Frequency Trading 117

Key Processes of HFT 117

Financial Markets Suitable for HFT 121

Economics of HFT 122

Market Participants 129

Summary 130

End-of-Chapter Questions 130

Chapter 8 Statistical Arbitrage Strategies 131

Practical Applications of Statistical Arbitrage 133

Summary 144

End-of-Chapter Questions 144

Chapter 9 Directional Trading Around Events 147

Developing Directional Event-Based Strategies 148

What Constitutes an Event? 149

Forecasting Methodologies 150

Tradable News 153

Application of Event Arbitrage 155

Summary 163

End-of-Chapter Questions 163

Chapter 10 Automated Market Making—Naïve Inventory Models 165

Introduction 165

Market Making: Key Principles 167

Simulating a Market-Making Strategy 167

Naïve Market-Making Strategies 168

Market Making as a Service 173

Profitable Market Making 176

Summary 178

End-of-Chapter Questions 178

Chapter 11 Automated Market Making II 179

What’s in the Data? 179

Modeling Information in Order Flow 182

Summary 193

End-of-Chapter Questions 193

Chapter 12 Additional HFT Strategies, Market Manipulation, and Market Crashes 195

Latency Arbitrage 196

Spread Scalping 197

Rebate Capture 198

Quote Matching 199

Layering 200

Ignition 201

Pinging/Sniping/Sniffing/Phishing 201

Quote Stuffing 201

Spoofing 202

Pump-and-Dump 202

Machine Learning 207

Summary 208

End-of-Chapter Questions 208

Chapter 13 Regulation 209

Key Initiatives of Regulators Worldwide 209

Summary 222

End-of-Chapter Questions 223

Chapter 14 Risk Management of HFT225

Measuring HFT Risk 225

Summary 244

End-of-Chapter Questions 244

Chapter 15 Minimizing Market Impact 245

Why Execution Algorithms? 245

Order-Routing Algorithms 247

Issues with Basic Models 258

Advanced Models 262

Practical Implementation of Optimal Execution Strategies 269

Summary 269

End-of-Chapter Questions 270

Chapter 16 Implementation of HFT Systems 271

Model Development Life Cycle 271

System Implementation 273

Testing Trading Systems 283

Summary 286

End-of-Chapter Questions 287

About the Author 288

About the Web Site 290

References 291

Index 303

网友对High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems的评论

This book gives the reader a broad introduction to the controversial and highly-competitive world of high-frequency trading. It is written in language clear enough for non-technical readers to benefit while dipping sufficiently deep into information technology and trading mathematics to satisfy those seeking more detail on the methods and mechanics involved in HFT. On the other hand, based on comments by other reviewers, it does not appear to satisfy the demands of the top technologists in the field for a magnum opus on the transmutation of C# code into gold.

The book is well organized and illustrated with numerous graphs, tables and formulas that facilitate comprehension of the subject matter. Speculators familiar with algorithmic trading may see direct application to their current strategies as implemented on available commercial trading platforms. Professional money managers get a glimpse behind the smokescreen that that shrouds HFT enabling development of risk-mitigation strategies suited to the evolving world of high-frequency trading. Regulatory personnel can familiarize with the terminology, technologies and strategies to ask better informed questions leading the way to effective policies that limit market manipulation while minimizing harmful unintended consequences.

As a private speculator with experience programming and operating algorithmic trading systems on somewhat longer timeframes than microseconds, I find Irene Aldridge's "High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems" an informative and useful reference book on the subject. Whether or not the shortcomings noted by other reviewers are technically correct they do not detract from the overall value of the material towards a better understanding of the field of high-frequency trading. I rate this book five stars on the basis that it should be on every trader's bookshelf.

This book presents an excelent introduction for High-Frequency Trading. You will need to get expirience to understand the area, but this book will give you a good start point. Some books will introduce unnecessary mathematical details in an initial vision. This is not the case of this book. It presents the concepts in a good flow of ideas. I recommend.

I regret deciding not to buy this book last year after reading a very negative review written by someone who had only read a preview of the book. After finally reading this book, I've realized the arguments by the negative review were actually off-topic and irrelevant, so I decided to post a review from a real market player's perspective so people won't make the same mistake as I did.

I develop and run proprietary HFT algo/platform and I have many recent books on this subject, but this book is by far the most useful one for the practitioners. There are some minor "bugs" in the book, like the line that says FIX protocol is "XML-based", where the author most likely meant "XML-like" (which some people might still disagree with). However, these are really negligible compared to the value of this book filled with real-life practical ideas for the latest HFT business.

If you think you know enough about HFT or if you want to satisfy yourself with rigorous mathematical proofs, try some other books. This is a book for practitioners and those who want to learn the most relevant concepts of HFT in a simple, easy-to-understand language. You don't need to be a technical person to understand most of the concepts.

I particularly liked the chapters on automated market making (ch. 10) and the use of Fourier analysis (ch. 15). I have written automated market making strategies but still found it useful. Very concise and easy to understand, the book successfully filters out unnecessary "noise" of irrelevant details.

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