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A clear guide to HFT, its mechanics, strategies, and impact on liquidity and volatility.
High-Frequency Trading (HFT) is a type of algorithmic trading that uses ultra-fast computers, advanced models, and high-speed data networks to execute thousands of trades in fractions of a second. HFT aims to capitalize on tiny price discrepancies across markets.
Definition
High-Frequency Trading is the automated execution of large numbers of orders at extremely high speeds, often within microseconds.
HFT firms invest heavily in cutting-edge infrastructure—co-located servers, fiber-optic cables, microwave towers—to reduce latency. Algorithms scan markets for price mismatches, arbitrage opportunities, or order-flow patterns, executing trades instantly.
While HFT can increase liquidity and tighten bid-ask spreads, critics argue that it creates unfair advantages, increases systemic risk, and may contribute to flash crashes.
Regulators continue to monitor HFT activity to maintain fair, stable markets.
During the 2010 Flash Crash, HFT algorithms amplified rapid price swings, revealing how deeply embedded algorithmic trading had become in modern markets.
HFT affects:
Yes, though heavily regulated in most countries.
It can improve liquidity but may increase systemic risk.
No, HFT requires large capital and specialized infrastructure.