Dow Jones News Archives for algorithmic trading offers 20 years of market info

Source: Dow Jones Newswires

Dow Jones Newswires, the leading provider of real-time market-moving news and information, today announced the expansion of Dow Jones News and Archives for Algorithmic Applications (Dow Jones News Archives) to include 20 years of history.

Dow Jones News Archives was launched in April 2006 to enable banks, securities firms, hedge funds and other portfolio managers, for the first time ever, to incorporate archival Dow Jones news into their quantitative models and computerized trading strategies.

"The enhancement of Dow Jones News Archives will allow algorithmic traders and quantitative analysts to capitalize on the depth of financial news and information only a company like Dow Jones can provide," said Joe Lanza, vice president, sales and marketing, Dow Jones Newswires—Americas. "The Dow Jones News Archives has been well received by the trading community, which was looking for a comprehensive source of historical and real-time news for its quantitative models."

The enhanced Dow Jones News Archives is now comprised of Dow Jones news and information dating back to January 1986, including Dow Jones Newswires, all editions of The Wall Street Journal and Barron's. News items in Dow Jones News Archives all have rich metadata tagging, including timestamps, industry, subject and geographic categorization, which provides precise data for quantitative models and trading applications. The Archives offers significant advantages to financial organizations in the areas of risk management, arbitrage, and pre- and post-trade analysis.

Dow Jones News Archives enables back-testing of trading applications by traders and analysts, and the rules generated can be applied to the real-time Dow Jones news feed. Customers can take delivery of the Dow Jones News Archives in one of two XML formats, either the NewsML/NITF or the Dow Jones News Mark-up Language, as well as in Dow Jones Composite Feed format. Dow Jones News and Archives for Algorithmic Applications is available as an annual license.

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