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Investing Quote by Michael Lewis

“Then came the so-called flash crash. At 2:45 on May 6, 2010, for no obvious reason, the market fell six hundred points in a few minutes. A few minutes later, like a drunk trying to pretend he hadn’t just knocked over the fishbowl and killed the pet goldfish, it bounced right back up to where it…” quote by Michael Lewis
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““Then came the so-called flash crash. At 2:45 on May 6, 2010, for no obvious reason, the market fell six hundred points in a few minutes. A few minutes later, like a drunk trying to pretend he hadn’t just knocked over the fishbowl and killed the pet goldfish, it bounced right back up to where it was before. If you weren’t watching closely you could have missed the entire event—unless, of course, you had placed orders in the market to buy or sell certain stocks. Shares of Procter & Gamble, for instance, traded as low as a penny and as high as $100,000. Twenty thousand different trades happened at stock prices more than 60 percent removed from the prices of those stocks just moments before. Five months later, the SEC published a report blaming the entire fiasco on a single large sell order, of stock market futures contracts, mistakenly placed on an exchange in Chicago by an obscure Kansas City mutual fund. That explanation could only be true by accident, because the stock market regulators did not possess the information they needed to understand the stock markets. The unit of trading was now the microsecond, but the records kept by the exchanges were by the second. There were one million microseconds in a second. It was as if, back in the 1920s, the only stock market data available was a crude aggregation of all trades made during the decade. You could see that at some point in that era there had been a stock market crash. You could see nothing about the events on and around October 29, 1929.””

Michael Lewis

About This Quote

Source Book: Flash Boys by Michael Lewis, 2014

A rapid, unexplained market plunge and rebound showed how outdated data granularity hid true trading dynamics, exposing systemic risk.

In simple terms: Fast market moves can be hidden by coarse data, revealing hidden dangers.

Key Takeaway

Upgrade data resolution to see real-time risks.

Themes

finance technology risk regulation marketstructure

Mood

alert critical analytical

Type

informational warning educational

When to use this quote

  • trading floor monitoring
  • algorithmic strategy design
  • regulatory reporting
  • risk management
  • investment decision making

Key Concepts

high‑frequency trading systemic risk data granularity

Questions to Reflect On

  • How can regulators keep pace with trading speed?
  • What safeguards prevent single orders from destabilizing markets?
A Different Perspective

Even with better data, human error and complex systems can still cause unforeseen crashes.

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