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These automated trading systems are mostly employed by investment banks or hedge funds, but are also available to private investors using simple online tools. An estimated 70% to 80% of all market transactions are carried out through automated trading software, in contrast to manual trades. [3] [4]
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.
While Peterffy was trading on the Nasdaq in 1987, [11] he created the first fully automated algorithmic trading system. It consisted of an IBM computer that would pull data from a Nasdaq terminal connected to it and carry out trades on a fully automated basis. The machine, for which Peterffy wrote the software, worked faster than a trader could.
However, a number of third party developers have written software bridges enabling integration with other financial trading systems for automatic hedging of positions. In late 2012 and early 2013, MetaQuotes Software began to work towards removing third-party plugins for its software from the market, suing and warning developers and brokers. [17]
Electronic trading can include various exchange-based systems that run the matching engine for orders, such as NASDAQ, NYSE Arca and Globex, as well as other types of trading platforms, such as electronic communication networks (ECNs), alternative trading systems, crossing networks and dark pools.
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