How Technology (Usually) Prevents Market Crashes
While there has yet to be any official confirmation, CNBC reports that Thursday’s precipitous 1000 point drop in the stock market was a product of a trader hitting “b” for billion instead of “m” for million when punching in a stock trade.
You would think that the high-speed electronic trading systems brokers rely on to execute trades–the NYSE Arca, which is the world’s second-largest electronic exchange and processes trades in as few as 600 microseconds–would be idiot-proofed against this sort of mistake.
As I discovered in an interview conducted last October with Paul Adcock, Executive Vice President of Operations at the New York Stock Exchange, trading gateways do have built-in controls designed to prevent precisely the error that may have occurred Thursday–but that it’s an optional setting.
“One we thing do on all electronic trading systems are […] share checks,” Adcock said. “They’re for those times when someone does a ‘fat-finger’ and sends a million [shares] in, not a thousand.”
Similar checks can also be set up to make sure that a trader doesn’t attempt to buy or sell a stock at a price that is more than 10% smaller or larger than its current price. “I may instruct Arca to set up risk parameters on the gateway,” says Adcock. “For example, for orders to be not larger than 1000 shares; We try to keep people from hurting themselves in a market that’s moving in microseconds.”
Adcock also explained why a large selloff by a single player could rapidly precipitate a wave of panic selling by other traders: An aggressive buyer (or seller) can easily become “the ax” in a stock, pushing its price either up or down as the volume of buy or sell orders they are sending to an exchange outstrips the supply of either sellers or buyers who can take the other side of the trade.
Because the stock reported to have precipitated yesterday’s sudden fall via a large sell-off, Procter & Gamble, is traded on open exchanges, every trade on that stock immediately “goes to tape,” which is the public record of what’s going on in the exchange at any given moment.
That’s when computers running automated trading algorithms swoop in, driving a stock further up or down. “If computers see tapes moving in a certain direction,” says Adcock, “the momentum players come in and say ‘I want to get in.’”
Because speed is a competitive advantage in the world of high speed trading, there is an arms race going on between hybrid human/electronic trading floors like NYSE and upstart electronic-only trading floors like Direct Edge. Meanwhile, the complexity of such trades is only increasing, further enhancing the potential for human error: the NYSE Arca platform accepts more than 75 different order types, allowing for elaborate trades triggered over different time scales with a variety of customizable conditions that must be satisfied before a trade goes through. For more on this, see Trading Shares in Milliseconds (subscription required).
Given these complexities, it isn’t surprising to see the NYSE advertise the fact that it still employs human traders who can step in and slow down the trading of a stock whose price seems to be wildly out of line. While the old system is far from infallible, goes the argument, at least humans have the power to stop and think before they decide to engage in panic selling.
If the CNBC report is accurate, it’s a story as old as invention itself–of human error and technology run amok.
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