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Quantitative and high-frequency trading operations share one core dependency: price instability.
In calm, trending markets, the spread between where buyers and sellers transact compresses, and the frequency of exploitable mispricings falls. When conditions reverse, the math inverts.
Hudson River, the Wall Street trading firm, posted an $11.4 billion trading windfall after capitalizing on precisely that kind of reversal, driven by swings in AI stocks and by volatility triggered by the Iran war.
The AI equity story supplied one leg. Those names tend to carry concentrated positioning and high daily volume, conditions that amplify short-term price moves when sentiment turns.
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