⚡ High-Frequency Trading (HFT)

⚡ High-Frequency Trading (HFT)

📚 US Capital Private Bank Knowledge Base


📖 Definition

High-Frequency Trading (HFT) is a type of algorithmic trading characterized by the rapid execution of a large number of orders at extremely high speeds, often measured in microseconds. HFT uses complex algorithms and powerful computers to capitalize on small price discrepancies in financial markets.


🔧 How It Works

  • Co-located servers near exchange data centers minimize latency.

  • Proprietary algorithms scan market data and execute trades within milliseconds.

  • Strategies include market making, arbitrage, and short-term momentum plays.

  • Rapid order placement, cancellation, and execution capture tiny spreads at scale.


📝 Key Features

  • ⚡ Ultra-low latency execution.

  • 📈 Very high order volumes with small profit per trade.

  • 🤖 Fully automated, algorithm-driven decision making.

  • 🔒 Institutional-grade risk controls to limit exposure.


Benefits

  • Adds liquidity to markets and narrows bid-ask spreads.

  • Exploits brief market inefficiencies faster than human traders.

  • Can be deployed across multiple asset classes for diversification of alpha sources.


⚠️ Risks & Considerations

  • May amplify volatility in thin markets and contribute to flash events.

  • Heavy reliance on robust technology and connectivity.

  • Subject to close regulatory oversight and compliance requirements.


🔎 Related Terms

  • 🤖 Algorithmic Trading

  • 📊 Market Microstructure

  • ⚠️ Flash Crash


📚 References

  • 📄 U.S. Securities and Exchange Commission (SEC) – High-Frequency Trading

  • 🌐 Investopedia – High-Frequency Trading Overview


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