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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.
The same algorithm can be used in other situations, for example: [2] suppose there are 7 doctors that are assigned to night-shifts; each doctor is assigned to a night-shift in one day of the week. Some doctors prefer the shifts given to other doctors. The TTC algorithm can be used here to attain a maximal mutually-beneficial exchange.
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.
High-frequency trading strategies may use properties derived from market data feeds to identify orders that are posted at sub-optimal prices. Such orders may offer a profit to their counterparties that high-frequency traders can try to obtain. Examples of these features include the age of an order [54] or the sizes of displayed orders. [55]
The automated trading system determines whether an order should be submitted based on, for example, the current market price of an option and theoretical buy and sell prices. [7] The theoretical buy and sell prices are derived from, among other things, the current market price of the security underlying the option.
Systematic trading (also known as mechanical trading) is a way of defining trade goals, risk controls and rules that can make investment and trading decisions in a methodical way. [ 1 ] Systematic trading includes both manual trading of systems, and full or partial automation using computers.
A TWAP strategy is often used to minimize a large order's impact on the market and result in price improvement. [2] High-volume traders use TWAP to execute their orders over a specific time, so they trade to keep the price close to that which reflects the true market price.
However, smart order routing and algorithmic trading are connected more closely than it seems. Since even Smart Order Routing can be considered the simplest example of algorithm, it is reasonable to say that algorithmic trading is a logical continuation and an extension of Smart Order Routing.
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