Pico and BMLL have entered into a strategic partnership aimed at addressing increased demand for access to real-time and historical data sets simultaneously.

Jarrod Yuster, Paul Humphrey
The move is expected to help accelerate research, understand liquidity dynamics and optimise trading outcomes.
As part of the partnership, Pico’s raw real-time and historical data will be integrated with BMLL’s Level 3, 2 and 1 offerings, allowing clients to gain granularity and actionable insights.
Pico will further enhance these capabilities with the edition of its infrastructure, market and broker connectivity, feed handler, and API for market data and order execution.
Pico and BMLL products and services will be combined to offer a full-suite solution of historical data, back-testing, and live trading environments tailored for quantitative analysts, banks, and brokers to transition from research stages through to production while optimising performance and reducing complexity.
“Integrating Pico’s solutions with BMLL allows quants and high-performance traders to streamline their workflows with a unified set of technologies as they move through their journey from research to testing and into production,” said Jarrod Yuster, chair, founder and chief executive at Pico.
“This solution directly addresses the growing demand for comprehensive front-office trading technology, streamlining the entire process with precision and efficiency.”
The development will also enable clients to leverage BMLL’s granular Level 3 historical data feed alongside Pico’s low-latency real-time solution; adding improved transitions between scalable Level 3 research environments and low-latency production environments.
Paul Humphrey, chief executive, BMLL, said: “We have seen increasing levels of demand for an offering that combines a lower latency real-time environment with high-quality historical data in a consistent data format.
“This partnership with Pico addresses the very real pain points of many systematic traders who have dedicated far too many resources to migrating data between systems. Now, clients can spend 100% of their time gaining valuable insights rather than on unnecessary data cleansing.”