Source: Thomson Reuters
Thomson Reuters has enhanced its tick history data service, Tick History 2.0, to provide the financial industry with a powerful tool for developing algorithmic and systematic trading strategies and assist in meeting MiFID II requirements in 2018.
The solution assists institutions in complying with MiFID II, by incorporating additional reference data fields to capture the new data sources and venues under MiFID II.
Tick History 2.0 provides greater breadth and depth of historical time series, a wider range of content sets and improved search functionality. Data is recorded from Thomson Reuters Elektron Real Time Feeds covering both OTC and exchange traded instruments across 500+ trading venue, with coverage dating back to 1996.
Thomson Reuters Tick History enables financial institutions to build and back-test trading strategies, perform quantitative research and analytics, conduct market surveillance, and implement trading compliance solutions.
“The markets have moved towards greater use of quantitative, passive and systematic investment strategies, and inclusion of quantitative factors in fundamental investment styles, all of which are driving the need for more data,” said Brennan Carley, global head of Enterprise Proposition and Product Management, Thomson Reuters. “The new features of Tick History offer both buy-side and sell-side a powerful trading and compliance tool that is both flexible and scalable based on the needs of the institution.”
Tick History 2.0 is one of several solutions that Thomson Reuters is offering financial markets to enable MiFID II compliance. The company recently announced enhancements to its Velocity Analytics platform as well as an intention to provide a broader suite of solutions to support transaction cost analysis and SI (systematic internaliser) determination. Tick history is just one of the many data sources that Velocity Analytics can consume to provide the insights and regulatory analytics customers require for MiFID II and regular business performance and risk management.