High-Frequency Trading- A Comprehensive Analysis
Defining High-frequency Trading
High-frequency trading (HFT) is a type of algorithmic trading, defined by Martin
Wheatley, CEO of the Financial Conduct Authority, as the “execution of trading
strategies based on computer [programs] for algorithms, to capture trading opportunities
that may be small or exist for a short period of time”1 high-frequency trading has
received a great amount of attention from the media, investors and politicians. Yet, a
common definition has yet to be established. The lack of a widely accepted definition is
attributed to high-frequency trading being utilized in various financial activities by
trading firms, hedge funds, banks, and brokers.2 Although there is no common definition
for high-frequency trading across the aforementioned financial activities, Wheatley
defined three common characteristics in which high-frequency trading exhibits, including
high volume trades on a daily basis with low level of profits per trade; an extreme short
stock holding period; submitting numerous orders; and no significant open position
overnight.3 Using computerized platforms, high-frequency trading is able to execute a
large amount of trades at super speeds, measured in seconds or milliseconds. Many
traders which utilize high-frequency trading, the volume and value of the trades have the
potential to exceed $1 billion and one billion units on a daily basis. It is estimated that as
of 2012, high-frequency trading was responsible for approximately 70% of all US equity
trades. 4
High-speed trading firms buy and sell stock by way of computers that use algorithms to
compute data. Some programs analyze news stories or react to movements in prices,
holding a high volume of shares for a very short period of time, while earning a profit on
thousands of price differences.5 According to Forbes contributor Bill Conerly, the
objective of high-frequency trading of is to “profit from the price movements caused by
large institutional trades.6 Conerly provided an example from this using a mutual fund
stating that “when a mutual fund sells a million shares of stock, the price dips—and high-
frequency traders buy on the dip, hoping to sell the shares a few minutes later at the
normal price”. High-frequency trading buys when the price is below trend and sells when
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