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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, 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.
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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.
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