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What Is High-Frequency Trading (HFT)?

Algorithmic trading strategies executing thousands of trades per second using ultra-low-latency infrastructure.

HFT firms use specialized hardware, co-location at exchanges, and proprietary algorithms to execute strategies at microsecond timescales. The dominant HFT strategies are market making (capturing the spread), statistical arbitrage (exploiting tiny mispricings between related instruments), and order anticipation (detecting large orders and trading ahead of them).

HFT now accounts for 50%+ of US equity volume by some estimates. Major HFT firms (Citadel Securities, Jane Street, Virtu, Hudson River Trading) generate billions in annual revenue largely invisible to retail traders. Their edge comes from speed, infrastructure investment, and ML models trained on tick-level data.

For retail traders, HFT's main impact is on order execution: market orders get filled near-instantly at the NBBO, but the spreads have narrowed at the cost of greater complexity beneath the surface. The 2010 Flash Crash and several similar incidents have raised regulatory questions about HFT's market-stability role.

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