for Algorithmic Trading Applications
ComStock, an Interactive Data (NYSE: IDC) business and a leading provider of real-time global market data and managed solutions, today announced PlusTick, a new service that will provide financial institutions with access to high-quality tick and trade data for global securities.
By offering comprehensive securities information in an easy-to-use format, PlusTick can help clients to more effectively comply with 'best trade execution' and other government mandates, and back-test and analyse algorithmic trading applications designed to improve investment performance.
PlusTick, which is currently available, unites ComStockâs vast resource of real-time, low latency data with a robust database. With this new fully managed service, clients can identify a list of covered financial instruments, and PlusTick can deliver full tick and trade data for these securities on an intra-day or daily basis. PlusTick is designed to be seamlessly integrated into a broad range of financial applications and existing quote and trade databases, which can enable clients to access a comprehensive source of financial information without altering their workflow.
The new service offers comprehensive Level I and Level II information from over 60 markets around the world, including major U.S. and European exchanges. Clients can receive information for a range of data elements, including trade, bid, ask, volume, open, high, low, and close.
âIn light of developing compliance mandates in both the United States and Europe for âbest trade executionâ of securities trades and the continued emergence of algorithmic trading applications, it is critical for global firms to have access to high-quality information that can be delivered when they need it and in a format that easily integrates into their current systems and processes,â said Mark Hepsworth, president of ComStock. âBy offering a fully managed service, PlusTick can enable clients to focus on their core business instead of data management, helping them to more effectively utilise the massive volume of data that flows through the financial markets.â