Aldrige Irene. High-Frequency Trading: A Practical Guide Algorithmic Strategies and Trading Systems, 2e

John Wiley, 2013. — 322 p.If hiring activity is highest in profitable and rapidly expanding industries, then highfrequency trading (HFT) is by far the most successful activity in the financial sector today. Take, for example, the Jobs classifieds in the Money and Investing section of the Wall Street Journal on November 27, 2012. All five advertisements placed there were for high-frequency trading and related roles. Morgan Stanley alone was hiring four candidates in its high-frequency trading operation. HFT candidates were sought at all levels: associate vice presidents were required in HFT technology development, executive directors were needed in HFT strategy development, and vice presidents were sought for in HFT operations. To warrant the investment into new employees at all levels, prospective employees with HFT skills were clearly expected to generate high returns for their employers for the foreseeable future.Despite considerable hiring in the field, the high-frequency trading industry is still in its infancy. While some claim that high-frequency traders comprise 60 to 70 percent of all market participants, such numbers are seldom reached in reality. Scientific examinations find that HFTs still account for as little as 25 percent of all market activity in such frequently traded instruments as the S&P 500 E-mini futures (see Kirilenko et al., 2011). As Figure 1 shows, even in the very liquid S&P 500 ETF (NYSE: SPY), high-frequency traders on average account for just 20 percent of daily trades.As shown in Figure 1, the average levels of HFT participation in SPY remain remarkably stable: on most days in 2009 through 2012, 15 to 17 percent of all trades in SPY can be attributed to HFTs. At the same time, evidence of resource allocation to HFT suggests that the industry is growing at a rapid pace. A natural explanation reconciling the two observations exists: HFT has low barriers to entry, yet it can be extremely complex, requiring years of toiling with data to proficiently develop and deploy trading models.Indeed, as any successful HFT operator will tell you, development of consistently profitable ultra-short-term trading strategies takes at least three years. While the number may seem extreme, it is not really different from the time required to develop proficiency or “block” in any other industry or specialization.HFT is particularly complex as the discipline rests at the confluence of two already complicated areas of study: high-frequency finance and computer science. Very few academic institutions offer programs that prepare students to be simultaneously competent in both areas. Most finance-trained people do not understand computer programming, and most computer scientists do not have a grasp on the required highly academic finance.This book is written to fill that academic void: to supply true, accurate, and up-to-date graduate-level information on the subject of high-frequency trading, as well as to address the questions and opinions that many have about the subject. The book has a companion web site, www.hftradingbook.com, where you can find practical examples, updates, and teaching materials. I hope you find the book informative and helpful in your future endeavors.