Tue, 17/04/2007 - 06:55
Dow Jones & Company has introduced Dow Jones News Analytics, a secure, Web-based software application that enables hedge funds and banks to build news-oriented quantitative models for algorithmic trading.
The application, developed in partnership with RavenPack, an analytics consultancy, works with Dow Jones's real-time feed and continuously updated 20-year news archive, and can both present results graphically on a screen and feed them into a firm's automated trading systems.
Dow Jones News Analytics is the latest Dow Jones offering for algorithmic and quantitative specialists that leverages Dow Jones' news coverage from its 2,600 news staff and more than 130 news bureaus around the world. The complete line-up includes Dow Jones News & Archives for Algorithmic Applications, the text-based real-time feed and 20-year archive that work with Dow Jones News Analytics, and the recently launched Dow Jones Elementized News Feed.
Dennis Cahill, senior vice president and chief product officer, Dow Jones Enterprise Media Group, said:'Our latest solution, Dow Jones News Analytics, expands on this commitment, providing algorithmic and quantitative specialists with a turnkey solution that powers trading strategies while reducing infrastructure and development costs.'
Dow Jones News Analytics is the company's first hosted solution to combine news, archives and analytics tools that allows users to convert Dow Jones's text-based archive into numerical data. Using RavenPack's computational linguistics technology and embedded statistical tools, Dow Jones News Analytics can identify trends and correlations in news and sentiment for most asset classes or instruments. This data is graphically displayed and manipulated against streaming and historical price and volume data, enabling analysts and traders to design, develop and deploy proprietary models for trading, arbitrage and back-testing. RavenPack's systems are also scaled to allow the real-time, tick-by-tick analysis of large volumes of news in Dow Jones News Analytics.
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