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High-Frequency Trading (HFT): What It Is, How It Works, and Example

High-Frequency Trading (HFT): Using powerful computer programs to transact a large number of orders in fractions of a second.

Sydney Saporito / Investopedia

What Is High-Frequency Trading (HFT)?

High-frequency trading (HFT) is a trading method that uses powerful computer programs to transact a large number of orders in fractions of a second. HFT uses complex algorithms to 🌳analyze multiple marke🌌ts and execute orders based on market conditions.

Traders with the fastest execution speeds are generally more profitable than those with slower exe🉐cution speeds. HFT is also characterized by high turnover raꦐtes and order-to-trade ratios.

Key Takeaways

  • HFT is complex algorithmic trading in which large numbers of orders are executed within seconds.
  • HFT adds liquidity to the markets and eliminates small bid-ask spreads.
  • HFT is criticized for allowing large companies to gain an upper hand in trading.
  • Another complaint is that the liquidity produced by this type of trading is momentary—it disappears within seconds, making it impossible for traders to take advantage of it.

Understanding High-Frequency Trading (HFT)

High-frequency trading is a 澳洲幸运5开奖号码历史查询:type of algorithmic trading. Traders are able to use HFT when they analyze important data to make decisions and complete trades in a matter of a few seconds. HFT facilitates large volumes of trades in a short amount of time while keeping track of market movements and identifying 澳洲幸运5开奖号码历史查询:arbitrage opportunities.

Some of the key characteristics of ꧂high-frequen🥂cy trading include:

Because of the complexities and intricacies involved with HFT, it isn’t surprising that it is commonly used by banks, other financial institutions, and 澳洲幸运5开奖号码历史查询:institutional investors.

It became popular when exchanges started to offer incentives for companies to add liquidity to the market. For instance, the 澳洲幸运5开奖号码历史查询:New York Stock Exchange (NYSE) has a group of liquidity providers called 澳洲幸运5开奖号码历史查询:supplemental liquidity provi♏ders (SLPs) that attempts to add competition and liquidity for existing quotes on the exchange.

The SLP was introduced following the 澳洲幸运5开奖号码历史查询:collapse of Lehman Brothers in 2008, when 澳洲幸运5开奖号码历史查询:liquidity was a major concern for investors. As an incentive to companies, the NYSE pays a fee or rebate for providing said liquidity. With millions of transactions per day, this results in a large amount of profits.

Important

Some of the be♏st-known HFT firms ജinclude Tower Research Capital, Citadel LLC, and Virtu Financial.

Advantages and Disadvantages of HFT

Advantages

The main benefit of high-frequency trading is the speed and ease with which transactions can be executed. B🐎anks and other traders are able to execute a large volume of trades in a short period of time—usually within seconds.

HFT has improved market liquidity and removed bid-ask spreads that would have previously been too small. This was tested by adding fees on HFT, which led bid-ask spreads to increase. One study assessed how Canadian bid-ask spreads changed when the government introduced fees on HFT. It found that market-wide bid-ask spreads increased by 13% and retail spreads increased by 9%.

Disadvantages

HFT is controversial and has been met with some harsh criticism. It has replaced a number of broker-dealers and uses mathematical models and algorithms to make decisions, taking human decisiꦰons and interaction out of th♌e equation.

Decisions happen in milliseconds, and this could result in big market moves without reason. As an example, on May 6, 2010, the 澳洲幸运5开奖号码历史查询:Dow Jones Industrial Average (DJIA) suffered what was then its largest intraday point drop, declining 1,000 points and dropping 10% in just 20 minutes before rising again. A government investigation blamed a massive order that triggered a sell-off for the crash.

An additional 澳洲幸运5开奖号码历史查询:critique of HFT is it allows large companies to profit at the expense of the little guys. Its so-called ghost liquidity is also a ꦫsource of criticism: The liquidity provided by HFT is available to the market one second and gone the next, preventing traders from a🔜ctually being able to trade this liquidity.

Pros
  • Large volume of transactions at once

  • Easy and speedy process

  • Improves market liquidity

  • Removes small bid-ask spreads

Cons
  • Removes human decision making and interaction

  • Speedy transaction🙈s could result in𓃲 major market moves

  • Traders can’t trade liquidity

How Does High-Frequency Trading Work?

High-frequency trading (HFT) is an automated form of trading. It involves the use of algorithms to identify trading opportunities. HFT is com🉐monly used by banks, financial institutions, and institutional investors. It allows these entities to execute large batches of trades within a short period of time. Because everything is automated, trading becomes easy. HFT provides the market with liquidity. But it can result in major market moves and removes the human touch from the equation.

Does the Cryptocurrency Market Use High-Frequency Trading?

Yes, high-frequency trading does occur in the 澳洲幸运5开奖号码历史查询:cryptocurrency market. It works th👍e same way that HFT does in other markets. Using algorithms, it analyzes crypto data and facilitates a large volume of trades at once within a short period of time—usually within seconds.

How Fast Is a High-Frequency Trade?

High-frequency trading is fast. It can be as fast as 10 milliseconds. In some cases, it can be even less to execute a large batch of trades.

The Bottom Line

Advances in technology have helped many parts of the fin⛎ancial industry evolve, including the trading world. Computers and algorithms have made it easier to locate opportunities andꦇ make trading faster. High-frequency trading allows major trading entities to execute big orders very quickly.

Although it makes things easier, HFT (and other types of algorithmic trading) does come with drawbacks—notably the danger of causing major market moves, as it did in 2010, when the Dow suffe꧂red a large intraday d൲rop.

Article Sources
Investopedia requires writers to use primary sources to support their work. These include white papers, government data, original reporting, and interviews with industry experts. We also reference original research from other reputable publishers where appropriate. You can learn more about the standards we follow in producing accurate, unbiased content in our editorial policy.
  1. New York Stock Exchange. “.”

  2. New York Stock Exchange. “.”

  3. Katya Malinova,🃏 Andreas Park, and Ryan 🅘Riordan, via SSRN. “”

  4. U.S. Securities and Exchange Commission. “.”

  5. Equedia Investment Research. “.”

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