Dow Jones and RavenPack collaborate to deliver Dow Jones news analytics with API

Dow Jones announced on Thursday the launch of a Dow Jones news analytics developers' kit, an application programming interface (API) that integrates Dow Jones news analytics data into its customers' proprietary trading platforms.
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Dow Jones announced on Thursday the launch of a Dow Jones news analytics developers’ kit, an application programming interface (API) that integrates Dow Jones news analytics data into its customers’ proprietary trading platforms. The company also announced that Dow Jones news analytics is now available in the U.S. and Canada, in addition to Europe.

Produced in partnership with RavenPack, a computational linguistics provider, Dow Jones news analytics provides a combination of Dow Jones real-time news and RavenPack's sentiment data. Now, says the company, firms can integrate this data into their automated trading systems while transforming the Dow Jones real-time news into actionable data within milliseconds of the news breaking in the market. Users can request and process historical and real-time news analytics directly from within their platform. Financial organisations can also choose a hosted solution to research and create new algorithmic trading models based on news, Dow Jones states.

"The algorithmic trading community is constantly searching for more ways to turn news into profits," says Joe Lanza, vice president and managing director, algorithmic and trading products, Dow Jones enterprise media group. "Dow Jones news analytics translates the database of Dow Jones content into actionable trading data, in flexible formats to fit the customer’s business and technological needs," he continues.

According to Dow Jones, the new developers' kit can work with hundreds of third-party statistical and market analysis programs and is fully compatible with the latest versions of Java. Application developers benefit from resources including testing systems, code samples, technical documentation and technical support.

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