A hands-on options curriculum covering real trading concepts. Read the lessons, work through examples, and test your knowledge.
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Lesson 11: 2.10: High-Frequency Trading (HFT) & Algorithmic Firms
Examine the technical micro-structures of firms using latency-sensitive algorithms to capture tiny price discrepancies.
1. The Latency-Sensitive Traders
High-Frequency Trading (HFT) is a specialized subset of algorithmic trading that uses cutting-edge technology to analyze markets and execute trades in microseconds or nanoseconds.
HFT firms utilize co-location—placing their servers inside the exchange's data center—to minimize latency. They do not hold positions overnight, instead capturing tiny fractions of a cent on millions of trades daily.
★ Core Fact: HFT algorithms rely heavily on speed and arbitrage opportunities across different physical exchanges.
2. Market Impact and Liquidity Dynamics
HFT firms have changed the face of modern trading. They are responsible for a significant percentage of stock market volume.
• The Benefits: They drastically narrow bid-ask spreads and inject constant electronic liquidity, lowering transaction costs for retail investors.
• The Concerns: They are accused of withdrawing liquidity during market stress, exacerbating flash crashes, and trading ahead of institutional orders.
Click to enlargeKNOWLEDGE RECONNAISSANCE
What is the defining competitive advantage of a High-Frequency Trading (HFT) firm?
How do HFT firms primarily impact the bidding environment of modern stock exchanges?
More lessons in this module
- 2.0: Overview of Market Participants
- 2.1: Retail Investors & Traders
- 2.2: Institutional Investors (Mutual/Pension Funds)
- 2.3: Hedge Funds & Proprietary Trading Firms
- 2.4: Investment Banks & Underwriters
- 2.5: Market Makers & Liquidity Providers
- 2.6: Central Banks & Monetary Policy
- 2.7: Brokers & Financial Intermediaries
- 2.8: Regulators & Market Oversight (SEC, CFTC)
- 2.9: Sovereign Wealth Funds
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