I lHE  EASY  WAY  lO  GEl  STARTEO  I 
Everything You  Need lo Know, Including: 
• The internal configuration of a high-frequency 
trading systelll 
• COlllparisons of benefits and drawbacks, 
as we" as analyscs of inhcrcnt risks 
• Who profits frOIll  high-frcqucncy trading
and how they do it 
MICHAEL DURBIN 
All About
HIGH-FREQUENCY
 TRADING
MICHAEL DURBIN
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C O N T E N T S
Preface    v
Acknowledgments    xiii
Chapter 1
Busted    1
Chapter 2
Trading 101    9
Chapter 3
Trading Strategies    43
Chapter 4
Achieving Speed    95
Chapter 5
Under the Hood    131
Chapter 6
The High-Frequency Trading Debate    173
Now What?    195
Glossary    197
Bibliography    215
Index    219
iii
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P R E F A C E
  Customer:  How much are these?
  Merchant:  A buck fifty.
  Customer:  I’ll take some.
  Merchant:  They’re a buck fifty-one.
  Customer:  Um, you said a buck fifty.
  Merchant:  That was before I knew you wanted some.
  Customer:  You can’t do that.
  Merchant:   It’s my shop.
  Customer:  But I need to buy a hundred!
  Merchant:  A hundred? Then it’s a buck fifty-two.
  Customer:  You’re ripping me off.
  Merchant:  Supply and demand, pal. You want ’em or not?
What  is  high- frequency  trading?  Great  question!  And  it’s 
about time for an answer, because everyone seems to be talk-
ing  about  it—and  forming  strong  opinions  about  it—and 
when  that  happens,  it’s  usually  a  good  thing  to  know  just 
what it  is.  Does  high- frequency  trading  relate  only  to  stock 
trading? Or does it include automated trading of stock deriva-
tives  such  as  options?  Does  it  encompass  any  type  of  auto-
mated trading, where computers make the decisions humans 
once did? Or does it pertain only to the dubious practices of 
the sharks sophisticated trading firms who, like the merchant 
above, move markets in their favor just because they can get 
away with it? Well, since nobody can quite answer these ques-
tions, let’s just make our own definition and get on with it.
In general, high- frequency trading (HFT) refers to the buy-
ing or selling of securities wherein success depends on how 
v
vi
Preface
quickly you act, where a delay of a few thousandths of a sec-
ond, or milliseconds,1 can mean the difference between profit 
and loss. HFT happens not only in the stock markets but in the 
markets for stock options and futures as well. Naturally, not 
every reason for trading requires speedy execution. Certainly 
not, say, buying stock because you think the company will do 
well over the coming years or cashing out your 401(k) to buy 
the Harley you’ve had your eye on since you were sixteen. 
But  plenty  of  trading  strategies  do  indeed  depend  on  how 
quickly you can spot a profitable trading opportunity in the 
market—and  how  quickly  you  respond  with  a  trade  order 
to  seize  that  opportunity  before  somebody  else  does.  We’ll 
describe a number of such strategies later on.
The high- frequency trader evolved from the ranks of the 
traditional market-maker, or specialist, whose primary source 
of profit was the spread between the prices at which he bought 
and sold. Unlike the traditional market-maker, however, and 
owing to developments like decimalization2 and advances in 
technology,  the  high- frequency  trader  must  settle  for  much 
narrower  spreads—razor-thin  margins  of  a  penny  or  less. 
As  such,  high- frequency  traders  operate  in  massive  scales. 
Indeed,  the  larger  high- frequency   trading  firms  now  glide 
through  the  markets  scooping  up  vast  mouthfuls  of  trades 
like a whale does krill. 
Signs of the likely effects of high- frequency trading, and 
the growth of the number of firms practicing it, are not hard to 
find. Figure 1 shows the Security and Exchange Commission’s 
(SEC)  calculation  of  the  nearly  threefold  increase  in  daily 
1 Increasingly, and perhaps by the time you read this book, microseconds—or 
millionths of a second—also matter. And it’s only a matter of time before 
we’re talking about nanoseconds, or billionths of a second.
2 Decimalization  refers  to  the  shift,  in  the  early  2000s,  from  trading  stocks 
in  fractions  of  dollars  to  doing  so  in  pennies,  dramatically  reducing  the 
potential spread between the prices at which one can buy and sell a stock.
Preface
vii
F I G U R E   1 
NYSE Trading Statistics
8 
! .6 
• , . 
L 
ID 
o 
25 
~ 20 
~ 15 , 
j  10 
~  5 
o 
800 
.:  600 
~ !  400 
i  200 •  o 
NYSE-Listed Consolidated 
Average Daily Volume 
2.1 
.2005 . 2009 
NYSE-Listed Consolidated 
Average DailyTrades 
22.1 
2.9 
11 2005  •  2009 
NYSE-Listed Consolidated 
Average Trade Size 
,,. 
268 
.2005 . 2009