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A separate, "naïve" class of high-frequency trading strategies relies exclusively on ultra-low latency direct market access technology. In these strategies, computer scientists rely on speed to gain minuscule advantages in arbitraging price discrepancies in some particular security trading simultaneously on disparate markets. [49]
Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. [1] This type of trading attempts to leverage the speed and computational resources of computers relative to human traders.
The automated trading system determines whether an order should be submitted based on, for example, the current market price of an option and theoretical buy and sell prices. [7] The theoretical buy and sell prices are derived from, among other things, the current market price of the security underlying the option.
In the time it takes to say "algorithm," millions of stock quotes have been generated by so-called high-frequency traders. Using superfast computers and wide data pipelines, HFTs can flood the ...
In 2010, when the Dow Jones Industrial Average suddenly dropped 600 points and then just as quickly recovered -- the so-called "flash crash"-- high-frequency trading, or HFT, became the new ...
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