High-Speed Trading Isn't About Efficiency—It's About Cheating (2024)

High-Speed Trading Isn't About Efficiency—It's About Cheating (1)

I wasn't sure I'd heard him right.

I was a senior in high school, and I was staring at NBA legend Red Auerbach. He'd coached the Boston Celtics to nine championships in 10 years, won seven more as an executive, and, a bit less notably, gotten his first coaching job at our school way back when. He was 85 years old, but he lived nearby and had finally agreed to come back to be feted.

We piled into the gym and buzzed as Auerbach ascended the make-shift stage at center court. There were introductions and congratulations and then it was his turn to talk. He was old, but still sharp. He regaled us with an embellished, if not apocryphal, story about how his proudest coaching victory had come at our school. That was back in 1941, and the score had been something like 10 to 8. There was also something about yelling at the son of a senator—this was a preppy, all-boys school in Washington D.C.—for trying an around-the-back pass.

Then Auerbach turned to life lessons. "Everybody always asks me how to gain a competitive edge," he said, "and I'm always surprised because the answer is so obvious." Eighteen-year old me knew where this was going. He was going to tell us to work hard, that successful people prepare for their luck, yada, yada, yada.

"You cheat."

Our teachers looked confused, then horrified. They kept waiting for Auerbach to say he was just kidding, that of course there's no substitute for hard work. He didn't. Instead, he calmly explained that if you're playing a better fast-breaking team, you should install nets so tight that the ball gets stuck. Or if you're playing a faster baseball team, you should water the basepaths till they turn into muddy quagmires that nobody can run on. But most of all, he wanted to make sure we didn't misunderstand him. He cleared his throat, and said, "So, if you want a competitive edge, just cheat." Then he walked off stage, and the mayor's mother, who was inexplicably there, led us in a solemn rendition of America the Beautiful.

That brings us to high-frequency trading (HFT) hedge funds. These funds use computer algorithms—a.k.a.: algobots—to buy and sell stocks at incredible speeds. We're talking milliseconds. The idea is to react to any market news or inefficiencies before actual humans can process them. And it's an idea that has taken over stock trading: algobots make up about half of all stock transactionsin 2012 (which is actually down from its peak of 61 percent).

High-Speed Trading Isn't About Efficiency—It's About Cheating (2)It's Wall Street at its most socially useless. HFT funds aren't allocating capital to where they think it'll be most productive. HFT funds are allocating capital to where they think other people will put it 50 milliseconds from now. It's a tax on everybody else. And it's a tax that has basically no benefit. Sure, HFT funds defend themselves by saying they're increasing liquidity, but increasing liquidity is the last refuge of bullsh*tters. Just look at the chart to the left from Felix Salmon. It shows that the cost of trading has fallen as our computerized markets have become more liquid, but almost all of the drop happened before HFT. Economist Paul Samuelson had it right all the way back in 1957: knowing (or trading) something one second before everyone else is personally profitable and socially pointless.

And it's becoming more pointless now that markets are an algobot battleground. HFT funds aren't trading as much anymore, because there aren't enough humans to trade with. Algobots just quote each other prices. As Salmon points out, there were 280,000 quotes in a 17-minute span to trade the EFZ back in September 2012. But there were zero actual trades during that time. It's no surprise then that HFT funds are desperate for any kind of competitive advantage. So, like Red Auerbach suggested, they cheat. Now, what they do isstrictly legal, but that doesn't make the game any less rigged. The Wall Street Journal reports that HFT funds buy early access to datafrom third-party distributors—everything from corporate earnings to the Philadelphia Fed's manufacturing survey. They're getting the numbers just fractions of a second early, but that's more than enough in the world of high-frequency trading.

There's a big difference between buying early access to public data and early access to private data.The University of Michigan, for example, sells the rights to its Survey of Consumers to Reuters for $1 million a year. Reuters then sells early access to it either five minutes before thepublic gets it or five minutes and two second before—for the HFT crowd that wants to frontrun the frontrunners. It's a horribly unlevel playing field (and we should tax some of it away),but,as Matt Levine points out, the University of Michigan might stop doing the survey if they couldn't make money off it.

But earnings reports and Fed data are different. The private sector isn't paying for the creation of a public good when it buys a sneak peek at them. The private sector is just profiting off existing public goods. If a company sold hedge funds an early look at their earnings, it'd be insider trading. But when a third-party like Business Wire sells hedge funds an early, albeit split-second, look at corporate earnings, it's perfectly legal. It's nuts. As Paul Krugman argues, we need a financial transactions tax—something like 0.1 percent on all trades—to make this kind of socially useless speculation personally useless too. Long-term investors wouldn't notice this small a tax, but ultra-short-term investors would: their warp speed trading would become less profitable and less prevalent.

I'm pretty sure—or at least I hope—thatRed Auerbach was kidding when he told a gym full of kids to cheat to get ahead. But it's how too much of Wall Street operates today. And it makes a mockery of the idea that they've "earned" their wealth.

Matthew O'Brien is a former senior associate editor at The Atlantic.

High-Speed Trading Isn't About Efficiency—It's About Cheating (2024)

FAQs

What is the problem with high-frequency trading? ›

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.

Is HFT cheating? ›

The common types of high-frequency trading include several types of market-making, event arbitrage, statistical arbitrage, and latency arbitrage. Most high-frequency trading strategies are not fraudulent, but instead exploit minute deviations from market equilibrium.

Is high-frequency trading illegal? ›

Strategies: High-frequency trading encompasses a variety of strategies. Some common ones include market making, statistical arbitrage, and trend following. However, there are also more controversial strategies like spoofing, layering and front running – these being illegal banned practices.

Is high-frequency trading ethical? ›

But HFT can be Used Unethically

HFT can give traders an unfair advantage if they engage in market manipulation. HFT computers can influence the market for the trader's own advantage.

Are high-frequency traders really market makers? ›

Abstract. The current academic literature on HFTs considers them as the present-day de facto market makers.

Is high-frequency trading Real? ›

High-frequency trading is an automated form of trading. It involves the use of algorithms to identify trading opportunities. HFT is commonly used by banks, financial institutions, and institutional investors. It allows these entities to execute large batches of trades within a short period of time.

Is high-frequency trading spoofing? ›

Although spoofing isn't a recent phenomenon, high-frequency trading has increased market susceptibility to spoofing by allowing computer algorithms designed to place and cancel orders in milliseconds.

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.

Does high-frequency trading use AI? ›

These use AI and machine learning algorithms to analyze patterns in market data and automatically predict short-term price and liquidity changes.

Do banks use high-frequency trading? ›

High-frequency trading (HFT) is an automated trading platform that large investment banks, hedge funds, and institutional investors employ. It uses powerful computers to transact a large number of orders at extremely high speeds.

How does high speed trading work? ›

High-frequency trading is a type of automated trading that uses powerful computers to buy and sell financial assets incredibly quickly. The term “high frequency” refers to how quickly these trades are completed. They may take place in minutes, seconds or even milliseconds!

Do successful day traders exist? ›

The percentage of day traders who achieve profitability is relatively low. Various studies and broker reports suggest that a small fraction of day traders consistently make profits over the long term.

How fast do high-frequency traders trade? ›

High-frequency traders can conduct trades in approximately one 64 millionth of a second. This is roughly the time it takes for a computer to process an order and send it out to another machine. Their automated systems allow them to scan markets for information and respond faster than any human possibly could.

Why do high-frequency traders cancel so many orders? ›

High-frequency traders (HFTs) frequently submit, cancel and resubmit trading orders in an attempt to stay in front of the queue. This study shows that HFTs cancel a large number of limit orders within 50 ms in order to create arbitrage opportunities in the Australian Stock Exchange (ASX).

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

Be aware that HFT is an extremely technical discipline and it attracts the very best candidates from the fields of mathematics, physics, computer science and electronic engineering, often at the grad school level or with years of industry expertise in a niche area.

What are the disadvantages of high frequency? ›

The probability of making errors in high-frequency datasets is higher than in low-frequency datasets because of a range of issues. Human errors are one of the drawbacks that lead to inaccuracy in high-frequency data collection. Human errors can be of two types: intentional human errors and unintentional human errors.

What is the problem with very high frequency waves? ›

They do not follow the contour of the Earth as ground waves and so are blocked by hills and mountains, although because they are weakly refracted (bent) by the atmosphere they can travel somewhat beyond the visual horizon out to about 160 km (100 miles).

Why is HFT not allowed? ›

High-Frequency Trading (HFT) refers to the use of advanced computer algorithms and high-speed telecommunications networks to execute large numbers of trades in fractions of a second. HFT is prohibited as it can lead to market manipulation, unfair advantages, and can cause instability in the market.

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