1. Historical Context
Starting in the 2000s, trading on Wall Street moved from human traders shouting on the floor to High Frequency Trading (HFT) systems, computers that execute thousands of buying and selling orders in fractions of a second.
2. The Breakdown Event
On May 6, 2010, at 2:32 p. m. , amid the tension of the European sovereign debt crisis, an American investment fund used an automated algorithm to sell a large number of future contracts. To absorb this sell-off, HFT algorithms quickly bought and sold each other to shed the risk. This triggered a closed loop of negative algorithmic feedback. In less than 20 minutes, the Dow Jones index plummeted almost 1,000 points (9% of its value), evaporating $1 trillion in stock market valuation. Some shares of giant companies like Procter & Gamble momentarily traded as low as one cent on the dollar before rebounding and recovering almost all of the lost ground in the next 15 minutes.
3. Global Economic Impact
The Flash Crash forced the US Securities and Exchange Commission (SEC) to establish new control mechanisms, such as 'circuit breakers' (market circuit breakers) that automatically pause trading throughout the market if an asset falls too quickly.
Key Financial Lesson (Psychology of Money)
The extreme speed and automation of modern financial markets can exacerbate panic and create unwanted instantaneous catastrophic crashes when trading algorithms withdraw en masse from the market to avoid losses.
4. Practical Case or Real Life Example
Years later, the investigation found that some of the panic was amplified by Navinder Singh Sarao, an investor who traded from his parents' home in London using software to flood the market with false orders (spoofing).