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RavenPack Analytics are designed to help you spot trading opportunities and enhance your trading strategies, to generate alpha and more effectively manage risk.


RavenPack News Scores

Trading is increasingly automated, the financial industry is more competitive than ever, and timing is everything. Firms are overloaded with information and have turned to computers to read news and Internet information.

RavenPack continuously analyzes relevant information from all major real-time newswires and trustworthy Internet sources including websites, blogs, local and regional newspapers to produce real-time news sentiment scores for companies, sectors, and industries.

With RavenPack News Scores, what would take days for a trader to read and interpret takes Raven-Pack computers only a few milliseconds. Now, the financial professional can react much faster to the ever-increasing amounts of news and information available for making trading decisions.

RavenPack News Scores measures the news sentiment and news flow of companies representing 98% of global market liquidity. The news scores provide analytics on approximately 10,000 companies in 70 countries. All relevant news items about companies are classified according to their sentiment, relevance, and market impact; as a result the data can be segmented into many distinct benchmarks. Calculations are performed in real time to produce continually updated scores between 0 and 100. RavenPack News Scores provides:

Benefits
• Capture alpha opportunities in the market from news sentiment and news flow
• Improve risk management and trading execution
• Strengthen portfolio allocation decisions

Differentiators
• Multiple sentiment detection techniques
• Market leading entity detection
• 10,000+ companies and securities coverage
• Non-sentiment metrics include relevance, events and market impact
• 4+ year historical archive for modelling and back-testing
• Low latency news event processing
• State-of-the-art news ticker plant
• Data feed delivery
• Real-time, daily or monthly feeds