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RavenPack News Analytics Powered by a proprietary text analysis platform, RavenPack analyzes novel and relevant 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 represent the most reliable and authoritative publishers of business and financial news. RavenPack News Analytics are derived through a complex set of algorithms incorporating multiple series of words and phrases, topics, concepts, and events that are typically associated with subsequent positive or negative stock price movements. These analytics include scores between 0 and 100, where values above or below 50 are positive or negative, respectively. Extensive research shows that this information can add value both in high frequency trading and longer-term investing, including stock selection and risk management. Published as "computer-readable" data elements through a real-time feed, RavenPack News Analytics 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. Benefits
Key Differentiators
RavenPack News Analytics harnesses many years of experience processing vast quantities of textual news from thousands of media sources. The service lets financial professionals utilize more than a decade of proprietary research and development in text analytics and financial modeling. For more information about RavenPack News Analytics - Wired Edition, please contact a RavenPack representative at sales@ravenpack.com. |
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