NEW YORK--(BUSINESS WIRE)--M Science, the leader in data-driven research and analytics, today announced the launch of the TickerTags web-based analytics platform. The platform, which consists of a dashboard and two API services, allows clients to perform proprietary research and analysis, providing unprecedented access to analytics that will greatly inform their ability to make investment decisions.
The new TickerTags dashboard exposes insights derived from large streams of unstructured, natural language data coupled with TickerTags proprietary ontology which includes nearly one million tags related to approximately 3,000 investible assets. With this advancement, clients now have access to the same dashboard being used by the TickerTags analysts to derive the written research product offering.
In addition to the dashboard, TickerTags is offering two different API services. The first provides direct programmatic access to mention frequency data for each of the hand-curated tags. Clients seeking to utilize the entire contextualized dataset now have real-time programmatic access for their own proprietary research and analysis. The second is a RESTful API that provides the TickerTags ontology as a service. Clients can easily apply the TickerTags ontology to their own library of text documents, mapping each document to specific companies, products and brands, and applying much needed structure and context.
“The launch of the TickerTags product is a groundbreaking event for M Science as it allows the power of our data mapping to be used in ways that are more specific to our clients own goals and investment strategies,” said Michael V. Marrale, CEO of M Science. “The insights and ideas generated by the TickerTags web-based platform will enable clients to make more intelligent and opportune investment decisions. The direct accessibility of the platform is the next step in the continued expansion and enhancement of M Science products and services offered to our clients.”
These new capabilities demonstrate M Science’s unique and innovative product offerings and further distinguish the data-driven platform from other providers. This unique approach of applying the ontology to contextualize data sources is paramount to deriving mention frequency. Mention frequency, or the level of conversations on any given topic can be a leading indicator versus transaction data.
Mark Bachman, head of TickerTags by M Science, added, “We are thrilled to offer this new capability and believe that the ability to access the underlying insights powered by TickerTags will yield fresh and actionable ideas. As part of the greater M Science family, TickerTags is also leveraging the expansive M Science technology infrastructure and 40-person research team to provide clients with unique mention frequency insights for investment decisions.”
About M Science
M Science is a data-driven research and analytics firm, uncovering new insights for leading financial institutions and corporations. M Science is revolutionizing research, discovering new data sets and pioneering methodologies to provide actionable intelligence. With offices in New York, Portland, Dallas, Boston, San Francisco and London, M Science’s research teams have decades of experience working with massive amounts of unstructured data in near real-time to discern critical insights that help clients make smarter, more informed decisions. We combine the best of finance, data and technology to create a truly unique value proposition for both financial services firms and major corporations.
M Science is a portfolio company of Leucadia Investments, a division of Jefferies Financial Group Inc. (NYSE: JEF).