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News Score by RavenPack — Overview

By automating news analyses, RavenPack helps you to spot profitable trading opportunities in near real-time, resulting in the generation of alpha returns and an effective management of portfolio risk.

Gives you the edge over the competition: As trading is increasingly automated, the financial industry is getting more competitive than ever, where the speed of “Opportunity Identification” and “Order Execution” differentiates the winners from losers. Overloaded with information, Firms are increasingly relying on computers to read news and information on the web to identify profitable trading opportunities.

News sourcing from trusted and varied sources: RavenPack continuously analyzes relevant information from all major real-time newswires and trustworthy internet sources including websites, blogs, local and regional newspapers and produces real-time news sentiment scores for companies, sectors, and industries.

Near real-time opportunity identification: With RavenPack News Scores, what would normally take days for a trader to read and interpret data or information, it 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.

Wider coverage of securities and asset classes: 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.

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.