Ravenpack

RavenPack News Scores

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.

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 or negative stock price movements. The result is a numerical expression between 0 and 100, where values above or below 50 are positive or negative, respectively. 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 "computer-readable" data elements through a real-time feed, 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.

Benefits
•	Faster Decisions – Capture alpha opportunities by instantly trading off the news
•	Model Market Behavior – Improve risk management with forward looking sentiment metrics
•	Improved Efficiency – Strengthen stock portfolio allocation decisions and trading execution
•	Structured Data – Save time and costs by directly embedding the data into trading programs and models

Key Differentiators
•	Speed – Low latency text and sentiment analysis delivered as a real-time data feed
•	Superior Analysis – Multiple sentiment detection techiques provide more accuracy and flexibility
•	Market Moving Events – Over 160 event categories automatically detected by algorithms
•	Extensive Coverage – News analytics available on more than 27,000 publicly traded companies
•	Elementized Format – RavenPack places discrete tagged pieces of news making every record 100% computer-readable
•	Backtesting data – Over 5 years of millisecond timestamped data for testing

RavenPack News Scores 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.

RavenPack News Scores is also available in partner platforms including Aleri's CEP 3.0, Alphacet Discovery, Aqumin's AlphaVision, OptiRisk Systems, RTS Real Time Systems, and Xenomorph TimeScape, among others.

For more information about RavenPack News Scores, please contact a RavenPack representative at sales@ravenpack.com.