Iress announced that its QuantHouse division has entered into a global partnership with BMLL, an independent provider of harmonized, Level 3, 2 and 1 historical data and analytics for the global equity and futures markets. The partnership will bring together QuantHouse’s real-time data services and BMLL’s historical order book data. This will support the buy-side community in understanding market behavior and testing investment strategies.
The joint offering accelerates time to insights and time to market, enabling asset managers and hedge funds to backtest trading strategies and move from research into production at speed. The collaboration comes as a result of completion of the data symbology mapping for both the QuantHouse real-time and the BMLL historical data sets. Data is now harmonized and available in one format, across all venues and all asset classes, to support faster research processes and enabling clients to map liquidity dynamics with a greater degree of granularity to enhance trading performance.
Iress’s CEO for Global Trading and Market Data, Jason Hoang, said in a statement: ““By partnering with BMLL, we remove cost and complexity, and significantly lower the barriers to entry for financial institutions. Clients will benefit from immediate and flexible access to full-depth, real-time and historical order book data, enabling them to carry out research, backtest their strategies and ultimately improve their performance and will be especially valuable to those using machine learning and AI in their strategies.”
BMLL’s CEO, Paul Humphrey, said in a statement: “Across the industry as sophistication levels increase, the demand for superior quality historical market data is intensifying. Market participants need easy access to global, ready-to-use data to improve their own products and strategies, gain a deeper understanding of liquidity dynamics and generate alpha more predictably, without the burden of data engineering and infrastructure on their P&L.”