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It may have been a long time coming, but it appears that machine-readable news’ time has come. With today’s emphasis on fast, automated and event-driven markets, the ability to tap events and apply them to computer-based models seems obvious. But until relatively recently, the idea of electronically capturing news–or text-based information–for use in automated processes has been the stuff of science fiction.
Today, machine-readable news is used in a range of supporting roles in trading. Aside from generating trading signals for high frequency traders and other alpha- seekers, it can be used to build sentiment measurement applications, stock screening applications and back-testing systems for trading algorithms. It can be used in support of market surveillance systems. And with more of the major newswire organizations getting in on the act, its use seems set to increase.


















In today’s financial markets, trading firms face constant pressures in a fiercely competitive environment. Providing best execution and superlative customer service is fundamental to attracting order flow. Running trading operations efficiently is also an imperative, to minimise costs internally and to offer best value to customers. Despite the increase in recent years of automated and algorithmic trading, the human touch is as important as ever in financial trading. Traders bring a wealth of experience to the art of trading, even when it is driven by computer-generated indicators. Their experience and relationships are vital to seeking out liquidity and efficient execution.
Over the past couple of years, Complex Event Processing has emerged as a hot technology for the financial markets, and its flexibility has been leveraged in applications as diverse as market data cleansing, to algorithmic trading, to compliance monitoring, to risk management. CEP is a solution to many problems, which is one reason why the emerging marketplace is growing, with many vendor options to choose from.
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Whether they accept it or not, sell-side institutions are finding themselves in the unfamiliar role of information technology vendor. The adoption of algorithmic trading models by buy-side firms of all shapes and sizes is shifting trading strategies, and the technology infrastructure to supply and support them, from the realm of nice-to-have appendage to must-have service offering.