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The trading mechanism on electronic exchanges is an important component that has a great impact on the efficiency and liquidity of financial markets. The choice of matching algorithm is an important part of the trading mechanism. The most common matching algorithms are the Pro-Rata and Price/Time algorithms.
[2] [3] A study in 2019 showed that around 92% of trading in the Forex market was performed by trading algorithms rather than humans. [ 4 ] It is widely used by investment banks , pension funds , mutual funds , and hedge funds that may need to spread out the execution of a larger order or perform trades too fast for human traders to react to.
In 2002 Tradebook launched Futures trading, followed by US Listed options in 2006 [4] and an FX marketplace in 2007. [5] In 2010, Bloomberg Tradebook developed B-Dark, an algorithm to provide information to traders about where their orders were being filled, even for trades occurring in private electronic transaction networks, or dark pools. [6]
It was in the US, in the late 1990s, that the first instances of Smart Order Routers appeared: "Once alternative trading systems (ATSes) started to pop up in U.S. cash equities markets … with the introduction of the U.S. Securities and Exchange Commission’s (SEC’s) Regulation ATS and changes to its order handling rules, smart order routing (SOR) has been a fact of life for global agency ...
Today, pairs trading is often conducted using algorithmic trading strategies on an execution management system. These strategies are typically built around models that define the spread based on historical data mining and analysis. The algorithm monitors for deviations in price, automatically buying and selling to capitalize on market ...
In capital markets, low latency is the use of algorithmic trading to react to market events faster than the competition to increase profitability of trades. For example, when executing arbitrage strategies the opportunity to "arb" the market may only present itself for a few milliseconds before parity is achieved.
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