RavenPack, a provider of real-time financial-news analysis services, has unveiled its News Analytics (RPNA) 4.0., an upgrade that improves upon previous versions by being able to survey nearly twice the amount of market-moving events, officials say.
The new iteration enables “quantitative analysts and data scientists to accelerate the discovery of relationships between news and financial markets,” according to a statement, which also singles out 4.0’s “new sentiment indicators, farther-reaching event novelty analytics and an expanded taxonomy focusing on macroeconomic and geopolitical risks. New data packages and delivery mechanisms help reduce the time needed to discover and test new strategies or techniques that may enhance alpha generation, mitigate risk or help identify potential market abuse and insider trading.”
“Version 4.0 nearly doubles the number of market-moving events we detect, capturing more of the nuances in natural language toward a tradable instrument, hence the potential for increased alpha — or more effective surveillance and risk management,” Armando Gonzalez, RavenPack’s CEO, says in the statement, in which he also observes that 4.0 “effectively gives clients the ability to model and test the reaction to macroeconomic and geopolitical news and systematically act upon these developments, in real-time if they so desire.”
Specifically, RPNA 4.0 “now ingests and analyses unstructured news and opinion from around 19,000 online news and social media sources in real-time. It detects more than 2,000 potentially market-moving events from over 200,000 entities, including more than 34,000 listed companies and 2,500 financially-sensitive organisations, “ according to the statement. “RPNA data consists of raw news analytics for every mention of an entity and indicators summarising sentiment and media attention at an entity level. RavenPack also stores over 14 years of historical data for modelling and back-testing.”
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