Mapping the
World's Big Data
for Financial Applications

Big Data Analytics

Turning large unstructured datasets into structured content that can be easily analyzed, manipulated and deployed in a range of financial applications to enhance performance and profitability.

We have tested the RavenPack data with the most stringent tests you can come up with in the industry... It has predictive ability for returns.
Stan Radchenko, MSCI Equity Analytics. March, 2015
Why RavenPack?
Proven performance-enhancing applications across finance.
Abbreviate task of managing and benefiting from unstructured content.
Instantly detect and react to unscheduled events.
Early recognition of extreme sentiment accumulation.

How Can RavenPack Help You

RavenPack has proven applications across financial services firms, from quantitative trading to retail broking, from risk management to market surveillance.

Asset Management
Build or subscribe to factors that deliver orthogonal alpha across all asset classes.
Brokerage & Market Making
Detect and instantly react to unscheduled events that may impact your performance.
Risk & Compliance
Monitor accumulation of adverse sentiment, detect headline risk, or reduce false positives from market abuse alerts.
Provide unique aspects to quantitative and fundamental research; control for news and social media in academic research.
Software / Data Vendor
Build an innovator position by adding powerful Big Data analytics to your offering.
Attract attention to your content by adding unique analytics to your website or article.
FactSet has incorporated sentiment indicators from news sentiment analysis provider RavenPack into its workstation to meet demand from buy-side traders wanting an additional input to their investment decisions
Waters Technology, March 2015

Request a demo or free trial

Take the first step toward making the most of big data in your application.
Send us your contact details and we'll get in touch.

Americas Sales: +1 646 277 7339 - EMEA-APAC Sales: +44 20 3714 8788 - HQ: +34 952 90 73 90 -