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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.
It was the second-largest point swing (1,010.14 points) and the largest one-day point decline (998.5 points) on an intraday basis in the Average's history. This market disruption became known as the Flash Crash and resulted in U.S. regulators issuing new regulations to control market access achieved through automated trading. [37]
This is typically done using electronic trading platforms where traders can place orders and have them executed at a trading venue such as a stock market either directly or via a broker. Electronic trading first started in the 1970s but significant development occurred during the 1990s and again in the 2000s with the spread of the Internet.
Some high-frequency trading firms use market making as their primary strategy. [10] Automated Trading Desk (ATD), which was bought by Citigroup in July 2007, has been an active market maker, accounting for about 6% of total volume on both the NASDAQ and the New York Stock Exchange. [36] In May 2016, Citadel LLC bought assets of ATD from Citigroup.
The trading strategy is developed by the following methods: Automated trading; by programming or by visual development. Trading Plan Creation; by creating a detailed and defined set of rules that guide the trader into and through the trading process with entry and exit techniques clearly outlined and risk, reward parameters established from the outset.
With the advent of electronic financial markets, electronic trading platforms were also soon launched. In 1992, Globex became the first electronic trading platform to reach the market. E-Trade, a company that started as an online brokerage service, soon also launched its own platform aimed at the consumer. [7]
By the end of October, stock markets in Hong Kong had fallen 45.5%, Australia 41.8%, Spain 31%, the United Kingdom 26.4%, the United States 22.68%, and Canada 22.5%. Black Monday itself was the largest one-day percentage decline in stock market history – the Dow Jones fell by 22.6% in a day.
An automated trading environment can generate more trades per market than a human trader can handle and can replicate its actions across multiple markets and time frames. An automated system can trade tirelessly and continuously without any disturbance. An automated system is also unaffected by the psychological swings that human traders are ...