发一本强书，High-Frequency Trading

good book, !

i had a dream..
to become a high frequency trader

这个书下的人太多啦，大家做点评论撒。

这书要的人太少，看来，搞这个的人不多啊

正好现在做高频数据分析,不知这书是否用得上

该书数学模型不多,也比较简单实用

Acknowledgments xi
CHAPTER 1 Introduction 1
CHAPTER 2 Evolution of High-Frequency Trading 7
Financial Markets and Technological Innovation 7
Evolution of Trading Methodology 13
CHAPTER 3 Overview of the Business
of High-Frequency Trading 21
Comparison with Traditional Approaches to Trading 22
Market Participants 24
Operating Model 26
Economics 32
Capitalizing a High-Frequency Trading Business 34
Conclusion 35
CHAPTER 4 Financial Markets Suitable
for High-Frequency Trading 37
Financial Markets and Their Suitability
for High-Frequency Trading 38
Conclusion 47

CHAPTER 5 Evaluating Performance
of High-Frequency Strategies 49
Basic Return Characteristics 49
Comparative Ratios 51
Performance Attribution 57
Other Considerations in Strategy Evaluation 58
Conclusion 60
CHAPTER 6 Orders, Traders, and Their
Applicability to High-Frequency
Trading 61
Order Types 61
Order Distributions 70
Conclusion 73
CHAPTER 7 Market Inefficiency and Profit
Opportunities at
Different Frequencies 75
Predictability of Price Moves at High Frequencies 78
Conclusion 89
CHAPTER 8 Searching for High-Frequency
Trading Opportunities 91
Statistical Properties of Returns 91
Linear Econometric Models 97
Volatility Modeling 102
Nonlinear Models 108
Conclusion 114
CHAPTER 9 Working with Tick Data 115
Properties of Tick Data 116
Quantity and Quality of Tick Data 117
Bid-Ask Spreads 118

Bid-Ask Bounce 120
Modeling Arrivals of Tick Data 121
Applying Traditional Econometric Techniques
to Tick Data 123
Conclusion 125
CHAPTER 10 Trading on Market Microstructure:
Inventory Models 127
Overview of Inventory Trading Strategies 129
Orders, Traders, and Liquidity 130
Profitable Market Making 134
Directional Liquidity Provision 139
Conclusion 143
CHAPTER 11 Trading on Market Microstructure:
Information Models 145
Measures of Asymmetric Information 146
Information-Based Trading Models 149
Conclusion 164
CHAPTER 12 Event Arbitrage 165
Developing Event Arbitrage Trading Strategies 165
What Constitutes an Event? 167
Forecasting Methodologies 168
Tradable News 173
Application of Event Arbitrage 175
Conclusion 184
CHAPTER 13 Statistical Arbitrage
in High-Frequency Settings 185
Mathematical Foundations 186
Practical Applications of Statistical Arbitrage 188
Conclusion 199

谢谢分享了 肯定会有用的