What Is a High-Speed Data Feed?
High-speed data streams enable real-time examination of price quotations and yields in high-frequency trading (HFT). Fiber optic cable, microwave frequency broadcast, or exchange server co-location can transfer these data flows. These and other financial organizations have spent billions upgrading high-speed data feeds since HFT success depends on reduced latency.
High-speed data feed operation
Computerized algorithmic traders obtain quicker and more accurate data from high-speed data streams. Due to greater data availability, HFT has sparked a technical arms race as data feeds and transactions approach light speed. Critics argue that HFT generates inherent market data monopolies, giving high-frequency traders an unfair edge over institutional and individual investors.
According to proponents, HFT increases market liquidity, prices securities more effectively than other intermediaries, and lowers trading costs by tightening spreads. To ensure fairness, the NYSE established authorized market makers in 2008 to assist in price discovery and offer liquidity to institutional and retail investors, mainly using HFT.
Our introduction to HFT terminology discusses contentious predatory trading methods, including front-running, when traders intercept incoming orders before execution. Investors think the market has too many HFTs, which affects long-term gains since they take a cut.
HFT began to affect big orders for bank and institutional traders in the 2000s. Trading began to look exploited, as stocks would rise rapidly after a trader bought them. This led to institutional investors chasing the stock to fill their positions. HFT businesses anticipate order flow and acquire shares to resell them to investors at a higher price. Many investors didn’t realize what was occurring until years later, so they had to learn to cope with HFTs.
Bloomberg’s B-PIPE data feed, Thomson Reuters’ Matching Binary Multicast Feed, and EBS Brokertec’s Ultra offer investors and providers market data with exceptionally low latency.
Special Considerations
Today, the stock market is a complex network of computerized trading systems. HFT, typified by fast speeds, ultra-short holding durations, and high order-to-trade ratios, accounts for 50% of U.S. equities trading activity, down from 60% in 2009. Smaller volumes, low market volatility, and increased regulatory expenses have squeezed HFT’s profitability and consolidated the business.
Regulators use speed bumps to randomize entry times and order processing delays to combat exchange competitiveness. In response to the IEX exchange’s 350-microsecond slowing of orders to counter high-frequency traders, the New York Stock Exchange followed suit in 2017 with its small and mid-cap exchange.
Conclusion
- Ultra-low-latency, high-speed data streams give algorithmic and high-frequency traders real-time information and executions.
- High-frequency traders spend a lot on fast networks and data feeds to acquire an edge.
- The signal’s distance or the cable’s length (typically fiber-optic) is the main factor in the delay.
- Since light travels at 186,000 miles per second in a vacuum, an HFT business with computers co-located within an exchange would have reduced latency and a trading edge compared to a competing firm even a few miles away.
