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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 is used to create custom indicators for financial charts and also to create algorithmic trading strategies for the markets. External DLL's can be referenced using EasyLanguage which greatly extends its functionality. The language was originally intended to allow creation of custom trading strategies by traders without specialized computer ...
[1] [9] Spoofing can be used with layering algorithms and front-running, [10] activities which are also illegal. [1] [3] High-frequency trading, the primary form of algorithmic trading used in financial markets is very profitable as it deals in high volumes of transactions.
The term “day trading” refers to the frequent purchase and sale of stocks throughout the day. Day traders hope that the stocks they buy will gain or lose value for the short time they hold ...
Options give investors ways to profit whether stocks rise, fall or hold steady. But they also come with their own complexities and pitfalls. Options traders have developed an expansive set of ...
In finance, MIDAS (an acronym for Market Interpretation/Data Analysis System) is an approach to technical analysis initiated in 1995 by the physicist and technical analyst Paul Levine, PhD, [1] and subsequently developed by Andrew Coles, PhD, and David Hawkins in a series of articles [2] and the book MIDAS Technical Analysis: A VWAP Approach to Trading and Investing in Today's Markets. [3]
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Around 2005, copy trading and mirror trading emerged as forms of automated algorithmic trading. These systems allowed traders to share their trading histories and strategies, which other traders could replicate in their accounts. One of the first companies to offer an auto-trading platform was Tradency in 2005 with its "Mirror Trader" software.
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