NEW YORK, May 28 /CNW/ - RavenPack, a leading provider of news analytics
technology and content, today announced a new real-time news sentiment
analysis service that improves risk management and trading.
RavenPack News Scores gauges the health of global companies by weighing
the balance of sentiment in articles published online by thousands of
financial sites, newspapers, and blogs.
Powered by a proprietary text analysis platform, RavenPack analyzes
stories published in all major news sources to look for key events, topics,
and opinions that indicate changes in sentiment around a specific company.
Sampled news sources represented the most reliable and authoritative
publishers of news.
A RavenPack news score is an indicator derived through a complex
algorithm incorporating multiple series of words and phrases, topics,
concepts, and events that are typically associated with subsequent positive
and negative stock price movements. The result is a numerical expression
between 0 and 100, where 50 is neutral. A study conducted between 2005 and
2008 showed that 90% of all signals generated demonstrated profitable returns
in the hours immediately following a news score event.
Published as discrete data elements, RavenPack news scores are considered
to be the timeliest company sentiment indicators in the marketplace. All
indicators are calculated in real-time, monitoring the sentiment in articles
immediately after news is published.
Announcing the availability of the new service, Armando Gonzalez CEO of
RavenPack said, "RavenPack News Scores harnesses many years of experience
processing vast quantities of news from thousands of media sources. We do not
believe that when it comes to sentiment, one size fits all, and endeavor to
provide the most comprehensive set of analytics with minimal latency."
News Scores let financial professionals utilize more than a decade of
proprietary research and development in text analytics and finance, while
providing a unique look into the health of more than 10,000 publicly traded
RavenPack News Scores is also available in partner platforms including
Aleri's CEP 3.0, Alphacet Discovery, OptiRisk Systems, and Xenomorph
TimeScape, among others.
RavenPack turns news into metrics that can be easily consumed by
quantitative models and trading programs. The firm processes content from
thousands of sources with low latency and classifies news stories with
multiple sophisticated sentiment detection and entity recognition algorithms.
Today, RavenPack's sentiment data is used as an important factor in
trading models operated by many of the world's top investment firms.
For further information:
For further information: Don R. Williams, SVP of Sales & Marketing,
firstname.lastname@example.org, http://www.ravenpack.com, Tel: (203) 545-6329