RavenPack News Analytics version 3.0 will now automatically detect news events and sentiment on every major geographical location, government organization, company, currency, and traded commodity. RavenPack computers sift through thousands of unstructured news stories in milliseconds searching for information likely to impact financial markets. Over 1,200 macroeconomic, geopolitical, and corporate events are systematically detected and the analysis delivered as a real-time data feed. Sources include reputable publishers such as Dow Jones Newswires, all editions of the Wall Street Journal and Barron's.

"For the first time, financial firms can automatically react to unexpected events such as terrorist attacks, natural disasters or industrial accidents within milliseconds of them being reported", said Armando Gonzalez, President and CEO of RavenPack. "Historically, such event detection relied on manual tagging which risked inconsistency and delays, but we have now developed a leading solution that delivers value, regardless of asset classes or how short the investment horizon is.

"This product serves quantitative trading firms engaged in anything from low latency news arbitrage to monthly portfolio rebalancing and from automated market-making to counterparty risk management. The only limitation is the number of scenarios and models clients can imagine", concluded Armando Gonzalez.