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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.
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 ...
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Automated trading systems are often used with electronic trading in automated market centers, including electronic communication networks, "dark pools", and automated exchanges. [5] Automated trading systems and electronic trading platforms can execute repetitive tasks at speeds orders of magnitude greater than any human equivalent.
The algorithm that is used to match orders varies from system to system and often involves rules around best execution. [ 1 ] The order matching system and implied order system or Implication engine is often part of a larger electronic trading system which will usually include a settlement system and a central securities depository that are ...
Mirror trading is sometimes also referred to as copy trading although copy trading differs slightly from mirror trading in the way that accounts are linked. In copy trading, the trader directly copies the moves of an individual successful trader; whereas in mirror trading, investment decisions are based on algorithms developed from trading ...
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An algorithm is fundamentally a set of rules or defined procedures that is typically designed and used to solve a specific problem or a broad set of problems.. Broadly, algorithms define process(es), sets of rules, or methodologies that are to be followed in calculations, data processing, data mining, pattern recognition, automated reasoning or other problem-solving operations.