| Dow Jones News Analytics
Algorithmic traders and quantitative analysts
can now discover new ways to create profitable market opportunities
with Dow Jones News Analytics, a flexible solution suite that combines
a unique content set of news and sentiment with powerful interface
tools. RavenPack, an innovator of advanced news analytics for algo
trading, partnered with Dow Jones, a leader in financial news, to
develop Dow Jones News Analytics. This cutting-edge application
and toolkit enable buy- and sell-side firms to build, test and deploy
news-based trading models.
All Dow Jones' news and archives, plus RavenPack's
proprietary sentiment analysis are available via a Web-based desktop
application or the Dow Jones News Analytics Developer's Kit. Dow
Jones News Analytics offers:
• Transform Dow Jones real-time news feed and archives into
actionable data for algo and quant trading models
• Developer's Kit that includes a Java API for programmatic
access to news and sentiment data
• Web-based, hosted Java applet with embedded statistical and
visualization tools
• Comprehensive tutorials and documentation that detail
analytics methodology, trends and usage
Algo traders are embracing the new frontier
of algorithms that take into consideration breaking news stories
and historical data before making a decision. Dow Jones News Analytics
represents the next leap forward in trading off the news. It helps
you:
• Transform Dow Jones real-time news feed and archives into
actionable data for algo and quant trading models
• Detect sentiment with proprietary tools on thousands of news
items per day
• Seamlessly integrate news and sentiment data into traditional
technical analysis to develop, confirm or reject trading ideas.
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