OneMarketData, LLC , the founders of OneTick, a single solution for event stream processing and tick data management, today announced that KOR Group, LLC, a SaaS (Software as a Service) analytics and trading compliance firm, has selected OMD's newly launched OneTickCloud service as its tick data management and analytics platform.
Using OneTick, OneMarketData's market-leading enterprise data management software, in unison with global tick data, OneTickCloud offers KOR a comprehensive solution with on-demand access to data. KOR's quantitative researchers, and developers, utilize the platform for market microstructure research, order-flow impact and multi-dimension venue Transaction Cost Analysis in conjunction with KOR Group's proprietary analytics.
"The OneTickCloud platform provides us with easy access to a vast quantity of market data," said Christopher Nagy, Co-founder and CEO of KOR Trading. "When combined with OneTick's powerful analytics engine and the affordable annual subscription plan, it became clear that OMD was the solution for us."
"With an ever-expanding set of market data that needs to be collected and managed, OneTickCloud is the natural evolution of our industry-leading flagship product, OneTick, which for a decade now has provided quantitative investors with powerful data management and analytics tools," said Richard Chmiel, Senior Vice President at OneMarketData. "With our extensive tick by tick and end-of-day pricing history, plus our general commitment to data quality, we feel this is a package ideally suited for today's quants, traders, researchers, and compliance professionals."
Built from inception as a single integrated system, OneTick allows users to create a single code-set for historical analysis and real-time signal generation. Users are able to apply OneTick analytics to historical and real-time data queries, significantly lowering the total cost of ownership and standing out against similar systems. OneTickCloud adds to this an on-demand subscription access to over 200 markets including extensive historical time series dataset (both level 1 and full depth of book), along with reference data, corporate actions, earnings and event dates.