High-Frequency Trading (HFT) (2024)

An algorithmic trading characterized by the high speed of trading, extremely large number of transactions and very short-term investment horizon

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High-frequency trading (HFT) is algorithmic trading characterized by high-speed trade execution, an extremely large number of transactions, and a very short-term investment horizon. HFT leverages special computers to achieve the highest speed of trade execution possible. It is very complex and, therefore, primarily a tool employed by large institutional investors such as investment banks and hedge funds.

High-Frequency Trading (HFT) (1)

Complex algorithms that are used in high-frequency trading analyze individual stocks to spot emerging trends in milliseconds. It will result in hundreds of buy orders to be sent out in a matter of seconds, given the analysis finds a trigger.

Advantages of High-Frequency Trading

High-frequency trading, along with trading large volumes of securities, allows traders to profit from even very small price fluctuations. It allows institutions to gain significant returns on bid-ask spreads.

Trading algorithms can scan multiple markets and exchanges. It enables traders to find more trading opportunities, including arbitraging slight price differences for the same asset as traded on different exchanges.

Many proponents of high-frequency trading argue that it enhances liquidity in the market. HFT clearly increases competition in the market as trades are executed faster and the volume of trades significantly increases. The increased liquidity causes bid-ask spreads to decline, making the markets more price-efficient.

A liquid market sees less risk associated with it, as there will always be someone on the other side of a position. Also, as liquidity increases, the price a seller is willing to sell for, and a buyer is willing to pay for will move closer together.

The risk can be mitigated with several strategies – one of which is stop-loss order, which will ensure that a trader’s position will close at a specific price and prevent further loss.

Risks of High-Frequency Trading

High-frequency trading remains a controversial activity and there is little consensus about it among regulators, finance professionals, and scholars.

High-frequency traders rarely hold their portfolios overnight, accumulate minimal capital, and establish holding for a short timeframe before liquidating their position.

As a result, the risk-reward, or Sharpe Ratio, is exceptionally high. The ratio is much greater than the classic investor who invests with a long-term strategy. A high-frequency trader will sometimes only profit a fraction of a cent, which is all they need to make gains throughout the day but also increases the chances of a significant loss.

One major criticism of HFT is that it only creates “ghost liquidity” in the market. HFT opponents point out that the liquidity created is not “real” because the securities are only held for a few seconds. Before a regular investor can buy the security, it’s already been traded multiple times among high-frequency traders. By the time the regular investor places an order, the massive liquidity created by HFT has largely ebbed away.

Furthermore, it is supposed that high-frequency traders (large financial institutions) often profit at the expense of smaller players in the market (smaller financial institutions, individual investors).

Finally, HFT has been linked to increased market volatility and even market crashes. Regulators have caught some high-frequency traders engaging in illegal market manipulations such as spoofing and layering. It was proven that HFT substantially contributed to the excessive market volatility exhibited during the Flash Crash in 2010.

Ethics and Market Impact

Some professionals criticize high-frequency trading since they believe that it gives an unfair advantage to large firms and unbalances the playing field. It can also harm other investors that hold a long-term strategy and buy or sell in bulk.

Critics also suggest that emerging technologies and electronic trading starting in the early 2000s play a role in market volatility. Small and large crashes can be amplified by such technologies mass liquidating their portfolios with specific market cues.

Some European countries want to ban high-frequency trading to minimize volatility, ultimately preventing adverse events, such as the 2010 US Flash Crash and the Knight Capital collapse.

Algorithms can also be created to initiate thousands of orders and canceling them seconds later, creating a momentary spike in price. Taking advantage of such a type of deception is widely considered immoral and sometimes illegal.

Related Readings

CFI offers the certification program for those looking to take their careers to the next level. To keep learning and developing your knowledge base, please explore the additional relevant resources below:

  • Investing: A Beginner’s Guide
  • Primary Market
  • Trading Mechanisms
  • VSAT
  • See all equities resources
  • See all capital markets resources
High-Frequency Trading (HFT) (2024)

FAQs

What is the HFT strategy in high-frequency trading? ›

HFT firms act as market makers by creating bid-ask spreads and churning mostly low-priced, high-volume stocks many times daily. By constantly buying and selling securities, they ensure that there is always a market for them, which helps reduce bid-ask spreads and increases market efficiency.

Is HFT trading illegal? ›

Regulators have caught some high-frequency traders engaging in illegal market manipulations such as spoofing and layering.

Is HFT trading profitable? ›

Advantages of High-Frequency Trading

Even if there are small price fluctuations, investors can make hefty profits using HFT strategies through the bid-ask spreads. Increased Opportunities High-frequency trading involves powerful computers and software that can scan and analyse multiple markets simultaneously.

Can you make money with high-frequency trading? ›

High-frequency trading strategies

Although the strategy can be extremely risky, even a small difference in price can yield big profits. HFT algorithms can detect very small differences in prices faster than human observers and can ensure that their investors profit from the spread.

How fast do high-frequency traders trade? ›

High-frequency trading is an extension of algorithmic trading. It manages small-sized trade orders to be sent to the market at high speeds, often in milliseconds or microseconds—a millisecond is a thousandth of a second and a microsecond is a thousandth of a millisecond.

Is high-frequency trading still happening? ›

Though the percentage of volume attributed to HFT has fallen in the equity markets, it has remained prevalent in the futures markets.

Why high-frequency trading is bad? ›

While algorithmic trading and high-frequency trading have arguably improved market liquidity and asset pricing consistency, their use has also given rise to certain risks, primarily its ability to amplify systemic risk.

Do any brokers allow HFT? ›

Best brokers for high-frequency trading

Pepperstone - HFT via MetaTrader 4 (MT4) and MetaTrader 5 (MT5) FXCM - HFT via multiple APIs and MetaTrader 4 (MT4) Tickmill - HFT via MetaTrader platform suite. FP Markets - HFT via MetaTrader platform suite.

How many trades per day is high-frequency trading? ›

High-frequency trading is a method of fast-paced algorithmic trading​ that uses computer programs to potentially initiate many trades at once or millions of trades per day.

What is the average return on HFT? ›

Assuming 252 trading days per year, that would equate to over Rs 3,81,000 crore in yearly profits across HFT firms. These industry-wide profit estimates translate to substantial returns when considering the amount of trading capital deployed by HFT firms.

How much does high-frequency trading cost? ›

Generally, only institutions can afford them since the entry-level systems for such trading will cost around USD 5,000 (around INR 4,08,247). If we look at top-of-the-line systems, they could be around USD 1 million (around INR 8,16,54,000).

How do I get started with HFT? ›

Getting into a high-frequency trading (HFT) company can be highly competitive, and it's important to have a strong understanding of computer science, programming, and finance. To be content with what you earn, it's important to have realistic expectations and to focus on personal growth and development.

How much does a high frequency trader earn in USA? ›

The average salary for High Frequency Trading is $1,35,041 per year in the United States. The average additional cash compensation for a High Frequency Trading in the United States is $43,375, with a range from $32,531 - $60,725.

What math is needed for high-frequency trading? ›

So the math that is useful to know is linear algebra, statistics, time series and optimisation (to some extent it's useful to be familiar with machine learning, which encompasses all of the above). Don't go into HFT thinking that you will primarily be doing advanced math.

Which prop firms allow HFT? ›

Tower Research Capital – A leading global prop trading firm, Tower Research Capital boasts cutting-edge technology and infrastructure designed to support HFT strategies across various asset classes.

What algorithms are used in HFT? ›

Based on the speed requirement and the online nature of HFT problems, the class of one-pass algorithms is especially suitable for HFT applications. These algorithms receive one data point at a time and use it to update a set of factors.

What is the best major for high-frequency trading? ›

There are a few paths into HFT, but most of them require extensive technical skills in one or more of the following hard sciences such as mathematics, physics, computer science or electronic engineering.

What is a high frequency market making strategy? ›

The model predicts that the high frequency trader provides more liquidity as he gets faster and shies away from it as volatility increases due to a higher risk of his stale quotes being picked by arbitrageurs. Competition with another liquidity provider increases the overall liquidity.

What is the best programming language for HFT trading? ›

C++ is another language favored by HFT firms for its low-level memory control and execution speed. In particular, it allows for efficient use of hardware resources, making it ideal for handling large volumes of real-time data.

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