Who Will Stand Up to Wall Street's Robot Armies? The 'Navy SEALs' of Finance

The funds investing your retirement savings are taking the biggest hit from high-frequency traders. Here's how they're taking on the predatory bots of finance

A plague of predators are eating away at Americans’ retirement funds. But the “Navy SEALs” of trading are here to help.

If you’re like most Americans, then you’re probably not playing the stock market directly. You’ve carefully selected a fund like Vanguard or Blackrock to invest a percentage of your monthly paycheck, and watched the value of your 401(k) pension fund add up over time. In 2010, institutions—including pension funds, mutual funds, hedge funds, etc.—controlled 67% of the stock market, up from 7-8% in 1950.

Unfortunately, the funds investing your retirement savings are also the ones taking the biggest hit from high-frequency traders (HFTs), who make millions by collecting pennies in an enormous volume of trades. While it might not bother you to lose a few cents when you’re making a long-term investment in 10 shares of Facebook, it’s a constant and pricey headache for the funds trading people’s life savings. (We describe one strategy HFTs use here.)

Enter IEX, a new market that says it is owned by some of the United States’ biggest institutional investors (the so-called “buy-side”), and is launching today. Run by a contingent of defectors from RBC Capital, Nasdaq, and various HFT firms—a group IEX chief executive Brad Katsuyama laughingly refers to as the “Navy SEALs” of the trading world—IEX is relying on the people managing your retirement to reshape the market system and clip the high-frequency traders’ wings.

Trading Games

It’s important to understand exactly what happens to your money after it leaves your bank account or paycheck (see figure above). Although you may trade a handful of your own money on an online platform like E*Trade, large investors like the California Public Employees’ Retirement System (CalPERS) or Capital Group Companies (the parent of American Funds) prefer to trade through broker-dealers, who can execute their massive orders more cheaply and also provide research, advice, and financing. To avoid moving the price of a stock with a single large order, brokers spread out these orders over a number of different exchanges and “dark pools” (off-exchange markets that don’t broadcast the price of trades and aren’t open to ordinary investors).

Katsuyama says he first started worrying about the effects of high-frequency trading on his clients while he was the global head of electronic sales and trading at RBC Capital Markets, where he and three other IEX executives used to work. He recalls that markets began working differently in 2007, just after the US Securities and Exchange Commission introduced Regulation NMS—a controversial rule that many argue has spawned the rise of high-frequency trading.

Clients would tell Katsuyama to buy certain stocks. Staring at his computer screen, he’d pick from a list of algorithms that would optimize the way his order was executed on a variety of exchanges, trying to get the highest percentage of the order executed at the best price possible. But whereas he used to see nearly 100% of his orders fulfilled, suddenly he found that only 60% were being executed. Before 2007, “things would happen randomly but it didn’t feel systematic,” he tells Quartz. After, “it got unbelievably frustrating that, day-in and day-out, I was getting screwed.”

The Hammer of THOR

Although the many of the US’s 13 stock exchanges are nominally based in New York, they really live in New Jersey, where their servers occupy nondescript data centers.

Servers for BATS, the closest exchange by distance to New York City, live in a data center in Weehawken, right across the Hudson River from downtown Manhattan. DirectEdge—another electronic exchange—stores its servers 4.6 miles away in Secaucus. Nasdaq’s servers are in Carteret, and those of the New York Stock Exchange (NYSE) are, ironically, the farthest away, in Mahwah. An order placed at the same time in New York will arrive at each of these in sequence (see above).

When Ronan Ryan, now IEX’s chief strategy officer, joined RBC Capital in 2009, it took a signal from RBC’s Manhattan router about three milliseconds to travel to NYSE. He and his colleagues soon discovered the reason for Katsuyama’s frustrations.

If a client wanted to buy 10,000 shares of Netflix, Katsuyama might send an order out to all these exchanges to buy shares at $330.00. Some of these orders would be filled almost immediately at BATS. But servers belonging to HFT firms “co-located” (housed in the same data center) with each exchange, registering that Netflix was trading for this price, would send a blast of orders ahead to DirectEdge, Nasdaq, and NYSE, and beat Katsuyama’s trade to the punch; despite heavy investments in hardware, RBC’s infrastructure was still slower than that of the HFTs. These new orders would boost the price of Netflix shares to $330.01, and Katsuyama’s order would come back only partly fulfilled. He’d send the order back out to buy at $330.01, knowing that high-frequency firms were likely making a pretty penny by boosting the share price.

The team at RBC Capital soon developed a solution—a new trading technology dubbed THOR. To prevent high-frequency firms from jumping ahead of their trades, they staggered the timing of their orders to different exchanges. An order sent to NYSE, the farthest exchange, would go out without a lag, but the same order to a nearer exchange like BATS would be timed to go out microseconds later, so that they would arrive at all the exchanges simultaneously. The technology,launched in January 2011 (paywall), effectively neutralized the HFTs’ faster wiring.

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Simone Foxman is a reporter at Quartz, focusing on finance and corporations.

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