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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 original TTC algorithm assumed that the preferences are strict, so that each agent always has a single top house. In realistic settings, agents may be indifferent between houses, and an agent may have two or more top houses. Several different algorithms have been suggested for this setting. [6] [7] They were later generalized in several ways.
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.
An automated trading system (ATS), a subset of algorithmic trading, uses a computer program to create buy and sell orders and automatically submits the orders to a market center or exchange. [1]
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.
The FIX Trading Community is a non-profit, industry-driven standards body with a mission to address the business and regulatory issues impacting multi-asset trading across the global financial markets through the increased use of standards, including the FIX Protocol messaging language, delivering operational efficiency, increased transparency, and reduced costs and risk for all market ...
The (sequential) auction algorithms for the shortest path problem have been the subject of experiments which have been reported in technical papers. [7] Experiments clearly show that the auction algorithm is inferior to the state-of-the-art shortest-path algorithms for finding the optimal solution of single-origin to all-destinations problems.
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.