Nasdaq Launches Analytics Hub for Buy-Side

The analytics available are derived from core data in conjunction with three third-party alternative data providers

Global exchange operator Nasdaq has launched the Analytics Hub, a new product that provides data and statistical expertise for clients ranging from hedge fund managers through to algorithmic traders, according to a company statement.

The London Summit 2017 is coming, get involved!

Join the iFX EXPO Asia and discover your gateway to the Asian Markets

Suggested articles

Ready to kick-off your Trading Game with Manchester United?Go to article >>

The new initiative, which is the second product to be launched from the Innovation Lab, aims to provide top-quality statistical and analytical expertise while continuing Nasdaq’s expansion into real-time and daily analytics that help market participants augment their strategies.

The Analytics Hub will offer a full range of analytic methodologies, including analysis of social media sentiment, central bank communications, retail sentiment, technical factors, as well as event based signals, as part of its service.

The analytics available in the Nasdaq Hub are derived from core data in conjunction with three third-party alternative data providers. This includes data sets from iSentium, Prattle, PredictWallStreet, and Nasdaq Dorsey Wright. Nasdaq intends to bring additional data sets to its platform, and promises that users will see a substantial increase by the end of the year.

Terry Wade, Head of Business Development and Product of Global Information Services at Nasdaq, commented: “The Nasdaq Analytics Hub reflects our partner-based approach of collaborating with key start-ups – like Lucena Research – to apply machine intelligence on proprietary and third party data sets to create new signals that investors may not have been able to access on their own. We’ve implemented a rigorous process whereby we use machine intelligence to normalize, validate and back-test the data to ensure the resulting outputs translate into multiple real-life investment use cases.”

Got a news tip? Let Us Know