High-Frequency Trading Delivers 60% of US Equity Volume

High-frequency trading (HFT) is a subset of algorithmic trading that uses powerful computer programs to transact a large number of orders at extremely high speeds, often measured in microseconds (millionths of a second) or nanoseconds (billionths of a second). According to data from the SEC, HFT firms accounted for approximately 52-56% of all US trading volume in 2023, with estimates projecting this figure to exceed 60% in major equity markets by 2026. These systems leverage complex algorithms to analyze multiple markets and execute orders based on predefined conditions, aiming to capture small profits per trade that accumulate due to high frequency.

Key Takeaways

- HFT executes thousands of trades per second to profit from tiny price discrepancies.

- Its technology stack relies on colocation, custom hardware, and microwave networks for speed.

- Retail traders benefit from tighter spreads but compete against vastly faster systems.

- Adopting HFT-inspired principles like automation and backtesting can improve retail results.

What is High-Frequency Trading?

High-frequency trading is a method of automated trading that leverages advanced technological tools and complex algorithms to move in and out of positions in fractions of a second. It is characterized by its extremely short-term investment horizon, high turnover rates, and high order-to-trade ratios. The primary goal is not to make a large profit on a single trade but to earn a small amount of profit on a vast number of trades throughout the trading day. Firms engaged in HFT often end the day flat, meaning they do not hold significant overnight positions, thus avoiding associated risk.

How Does High-Frequency Trading Work?

HFT works by leveraging a sophisticated technology stack designed for one purpose: minimizing latency, the delay between initiating and executing a trade. The entire process is automated, from market data analysis to order placement and execution. A typical HFT system continuously monitors live market data feeds from multiple exchanges. Its algorithms are programmed to identify fleeting opportunities, such as a stock being quoted at 100.00 on Exchange A and 100.01 on Exchange B. Upon identifying this discrepancy, the system automatically sends orders to buy at 100.00 and sell at 100.01, locking in a minuscule profit before human traders can even perceive the prices on their screens.

The scale makes this profitable. Executing this trade thousands of times a day on thousands of instruments generates significant revenue. This process requires a constant and hyper-fast connection to exchanges, which is achieved through the physical placement of servers and the use of the fastest possible data transmission methods.

The HFT Technology Stack: Colocation, FPGAs, and Microwave Towers

The technological arms race is the defining feature of HFT. Firms invest hundreds of millions of dollars in infrastructure to shave off microseconds.

Colocation is the practice of placing a firm's trading servers physically adjacent to an exchange's matching engine. This proximity reduces the distance data must travel over fiber-optic cables, cutting transmission time from milliseconds to microseconds. Exchanges rent out cabinet space in their data centers for this exact purpose.

Field-Programmable Gate Arrays (FPGAs) are integrated circuits that can be configured after manufacturing. Unlike standard CPUs that process instructions sequentially, FPGAs can be programmed for specific trading tasks, executing them in parallel with hardware-level speed. This reduces processing latency to nanoseconds. They are often used for tasks like converting exchange data feeds into a usable format instantly.

Microwave and Millimeter Wave Towers represent the next frontier in speed. While fiber-optic light travels at about two-thirds the speed of light in a vacuum, microwaves travel through the air at nearly the full speed of light. HFT firms have built networks of microwave towers between financial hubs like Chicago and New York to transmit data approximately 30-40% faster than the fastest fiber routes. A microwave link can reduce the round-trip time between these two centers from around 13 milliseconds (fiber) to under 9 milliseconds.

Key High-Frequency Trading Strategies

HFT strategies are diverse but revolve around speed, volume, and statistical edge.

Market Making

Market making involves simultaneously providing buy (bid) and sell (ask) quotes for a security to earn the bid-ask spread. HFT firms act as electronic market makers, continuously streaming quotes for thousands of stocks. They profit from the spread while managing their inventory risk by hedging or quickly offloading positions. For example, a market maker might quote Tesla (TSLA) with a bid of 250.10 and an ask of 250.15. If they buy 100 shares at the bid and sell them at the ask, they profit $5 minus exchange fees, a process repeated thousands of times daily.

Statistical Arbitrage

This strategy identifies and exploits temporary price inefficiencies between related securities, such as stocks and their corresponding futures contracts, or ETFs and their underlying baskets. For instance, the SPY ETF should track the value of the S&P 500 index futures (ES). If SPY momentarily lags behind ES, an HFT algorithm will buy SPY and sell ES short, betting the prices will reconverge. This convergence often happens in milliseconds.

Latency Arbitrage

This controversial strategy exploits speed advantages to trade on information before slower market participants. A common example is sniping: using ultra-fast data feeds to detect a large order impacting the price on one exchange and racing ahead to buy the same asset on other exchanges before their prices update. This effectively front-runs the larger order, a practice heavily scrutinized by regulators like the SEC.

Advantages and Risks of HFT

The rise of HFT has fundamentally altered market structure, creating clear benefits and significant risks.

Advantages:

Increased Liquidity: HFT market makers provide a constant stream of buy and sell orders, narrowing bid-ask spreads. The SEC estimates average spreads for S&P 500 stocks have narrowed from over 5 cents in 2005 to under 1 cent today, directly benefiting all traders through lower transaction costs.

Enhanced Price Discovery: By rapidly incorporating new information into prices across all venues, HFT can make markets more efficient.

Risks:

Market Instability: The infamous "Flash Crash" of May 6, 2010, demonstrated how HFT can amplify volatility. As prices fell rapidly, HFT algorithms simultaneously withdrew liquidity to avoid losses, exacerbating the decline.

Technical Glitches: The complexity and speed of HFT systems make them prone to errors. A bug in a firm's algorithm can lead to millions of dollars in losses in minutes, as happened to Knight Capital in 2012.

Unequal Playing Field: The immense cost of HFT infrastructure creates a two-tiered market where institutional players possess a significant speed advantage over retail traders.

How is High-Frequency Trading Regulated?

Regulators like the US Securities and Exchange Commission (SEC) and the UK's Financial Conduct Authority (FCA) monitor HFT practices. Key regulatory responses include Regulation National Market System (Reg NMS), which strengthened rules around trade-throughs and market data access. More recently, regulators have focused on maker-taker fee models and order type complexity. The SEC's Regulation Systems Compliance and Integrity (Reg SCI) also requires firms to ensure their systems are robust and resilient. The debate continues on whether practices like latency arbitrage constitute a legitimate strategy or a form of market manipulation.

What This Means for Retail Traders

As a retail trader, you cannot compete with HFT firms on speed. Therefore, the goal is not to beat them but to understand their influence and adapt your strategy accordingly.

Trade Liquid Instruments: HFT provides the most liquidity in the most popular markets. Stick to major forex pairs like EURUSD, large-cap stocks, and key indices where spreads are tightest.

Use Limit Orders: Avoid market orders, especially in fast-moving or thin markets. A market order gives up control and can be taken advantage of by HFT systems. A limit order guarantees your price, protecting you from sudden slippage.

Avoid "Pinging" the Market: Placing a small order to see if a large hidden order exists (a practice called pinging) is futile against HFT systems. They will detect your small order and adjust their quotes before you can execute your larger trade.

Embrace Automation: You can adopt the principles of HFT—discipline, speed, and systematic execution—through automated trading systems. Using algorithmic strategies that backtest well and execute without emotion can help capture small, consistent gains.

At Fazen Capital, we developed Vortex HFT not to compete with institutional latencies but to adapt their strategic principles for the retail XAUUSD (Gold) market. This proprietary algorithm is designed to identify short-term momentum and liquidity gaps, executing trades automatically to systematically capture small profit opportunities throughout the day, inspired by the core HFT ethos of high probability, low-risk entries.

Frequently Asked Questions

Is high-frequency trading illegal?

No, high-frequency trading itself is not illegal. It is a legitimate form of automated trading. However, certain practices associated with some HFT firms, such as manipulative strategies like spoofing (placing orders with intent to cancel them to create false liquidity), are illegal and actively prosecuted by regulators like the SEC and CFTC.

Can retail traders do high-frequency trading?

Retail traders cannot engage in true HFT due to the monumental costs of the required technology (colocation, custom hardware, direct data feeds) and the structural disadvantage of broker latency. However, retail traders can use automated strategies and faster execution brokers to apply similar concepts on a longer time frame.

Does HFT make markets more volatile?

HFT's impact on volatility is debated. It typically dampens volatility during normal markets by providing continuous liquidity. However, during periods of extreme stress, HFT can exacerbate volatility, as algorithms may simultaneously withdraw liquidity or engage in momentum selling, as witnessed during events like the 2010 Flash Crash.

Do HFT firms always make money?

No. HFT firms face significant risks, including technological failures, intense competition eroding strategies, and sudden regulatory changes. Their profitability relies on constant innovation and investment. A flawed algorithm or a black swan event can lead to rapid, substantial losses.

HFT is a permanent and dominant force in modern markets. Successful trading requires acknowledging its presence, leveraging the liquidity it provides, and building strategies that operate outside its ultrafast time horizon.

Disclaimer: This article is for informational purposes only and does not constitute investment advice. CFD trading carries high risk of capital loss.

High-Frequency Trading Delivers 60% of US Equity Volume