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The rapid-fire computer-based HFT developed gradually since 1983 after NASDAQ introduced a purely electronic form of trading. High-frequency trading has taken place at least since the 1930s, mostly in the form of specialists and pit traders buying and selling positions at the physical location of the exchange, with high-speed telegraph service to other exchanges. Several European countries have proposed curtailing or banning HFT due to concerns about volatility. Algorithmic and high-frequency traders were both found to have contributed to volatility in the Flash Crash of May 6, 2010, when high-frequency liquidity providers rapidly withdrew from the market. HFT firms make up the low margins with incredibly high volumes of trades, frequently numbering in the millions.Ī substantial body of research argues that HFT and electronic trading pose new types of challenges to the financial system. High-frequency traders typically compete against other HFTs, rather than long-term investors. As a result, HFT has a potential Sharpe ratio (a measure of reward to risk) tens of times higher than traditional buy-and-hold strategies. HFT firms do not consume significant amounts of capital, accumulate positions or hold their portfolios overnight. High-frequency traders move in and out of short-term positions at high volumes and high speeds aiming to capture sometimes a fraction of a cent in profit on every trade. Previous estimates reporting that HFT accounted for 60–73% of all US equity trading volume, with that number falling to approximately 50% in 2012 were highly inaccurate speculative guesses. Intraday, however, the proportion of HFT may vary from 0% to 100% of short-term trading volume. In 2017, Aldridge and Krawciw estimated that in 2016 HFT on average initiated 10–40% of trading volume in equities, and 10–15% of volume in foreign exchange and commodities. HFT uses proprietary trading strategies carried out by computers to move in and out of positions in seconds or fractions of a second. Specifically, it is the use of sophisticated technological tools and computer algorithms to rapidly trade securities. HFT can be viewed as a primary form of algorithmic trading in finance. While there is no single definition of HFT, among its key attributes are highly sophisticated algorithms, co-location, and very short-term investment horizons. High-frequency trading ( HFT) is a type of algorithmic financial trading characterized by high speeds, high turnover rates, and high order-to-trade ratios that leverages high-frequency financial data and electronic trading tools. ( October 2020) ( Learn how and when to remove this template message) You may improve this article, discuss the issue on the talk page, or create a new article, as appropriate. The examples and perspective in this article may not represent a worldwide view of the subject.