High-Frequency Trading (HFT): Meaning, History & Strategies
High-frequency trading (HFT) is a trading strategy that uses sophisticated algorithms and computer programs to execute large volumes of transactions at ultra-fast speeds, typically measured in microseconds or milliseconds. HFT firms leverage advanced technology, low-latency trading infrastructure, and direct market access to capitalize on small price discrepancies, market inefficiencies, and fleeting arbitrage opportunities across multiple trading venues. HFT algorithms analyze market data, order flow, and price movements in real-time to identify patterns, trends, and trading signals, enabling rapid decision-making and automated execution of trades. HFT strategies include market making, arbitrage, statistical arbitrage, and liquidity provision, aiming to capture small profits per trade while minimizing risk and exposure. HFT has become a significant force in financial markets, accounting for a substantial portion of trading volume in equities, futures, options, and foreign exchange markets. Critics raise concerns about HFT's impact on market stability, fairness, and transparency, highlighting risks such as market manipulation, systemic fragility, and regulatory challenges.