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The algorithms do not simply trade on simple news stories but also interpret more difficult to understand news. Some firms are also attempting to automatically assign sentiment (deciding if the news is good or bad) to news stories so that automated trading can work directly on the news story. [100]
Such manipulations are done typically through abusive trading algorithms or strategies that close out pre-existing option positions at favorable prices or establish new option positions at advantageous prices. In recent years, there have been a number of algorithmic trading malfunctions that caused substantial market disruptions.
Later the SOR systems were enhanced to cope with High Frequency Trading, to decrease latency and implement smarter algorithms, as well as work with dark pools liquidity. [7] Here are some US statistics from 2006-2007: "Smart order routing capabilities for options are anonymous and easy to use, and optimizes execution quality with each transaction".
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.
Many bank proprietary operations now center to varying degrees around statistical arbitrage trading. As a trading strategy, statistical arbitrage is a heavily quantitative and computational approach to securities trading. It involves data mining and statistical methods, as well as the use of automated trading systems.
To tackle these issues, FIX Protocol Limited established the Algorithmic Trading Working Group in Q3 2004. [1] The initial focus of the group was to solve the first of these issues, which it did by defining a new group of fields, the StrategyParametersGrp, made up of FIX tags 957 through 960 – these tags were formally introduced with the release of FIX 5.0 in Q4 2006.
High-frequency trading (HFT) is a type of algorithmic trading in finance characterized by high speeds, high turnover rates, and high order-to-trade ratios that leverages high-frequency financial data and electronic trading tools.
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