Exegy and BMLL Technologies have announced an expansion of their existing partnership, focusing on integrating historical and real-time data for U.S. equity options trading.

Exegy and BMLL Expand Partnership for OPRA Options Data Integration

The collaboration aims to address challenges in processing Options Price Reporting Authority (OPRA) data, which aggregates and disseminates pricing information for listed options contracts in the United States.

BMLL, a provider of historical financial market data and analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision-making. In the trading space, analytics are applied in a predictive manner in an attempt to forecast the price more accurately. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analy Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision-making. In the trading space, analytics are applied in a predictive manner in an attempt to forecast the price more accurately. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analy Read this Term, has recently added U.S. Equity Options data to its offering. This new dataset utilizes Exegy's Axiom as its real-time data source. Exegy specializes in market data and trading technology solutions.

“In November 2024 we announced the availability of six years of historical, nanosecond unconflated OPRA options data in a cloud Cloud The cloud or cloud computing helps provides data and applications that can be accessed from nearly any location in the world so long as a stable Internet connection exists. Categorized into three cloud services, cloud computing is segmented into Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). In terms of trading, the versatility of the cloud service allows retail traders the ability to test out new trading strategies, backtest pre-existing conc The cloud or cloud computing helps provides data and applications that can be accessed from nearly any location in the world so long as a stable Internet connection exists. Categorized into three cloud services, cloud computing is segmented into Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). In terms of trading, the versatility of the cloud service allows retail traders the ability to test out new trading strategies, backtest pre-existing conc Read this Term-based environment via BMLL Data Lab and BMLL Data Feed through Amazon’s AWS S3,” Paul Humphrey, CEO of BMLL, said.

“In addition, BMLL can also conflate OPRA data at speeds required by our customers and partners, mapping our data to the format of Exegy’s real-time data. This means that if clients are backtesting historical data and find alpha, they can quickly and efficiently replicate that format in the real-time world,” he added.

The partnership seeks to create a unified data stream that combines real-time and historical market data. By leveraging Exegy's conflation algorithm, the companies aim to provide consistent data across both real-time and historical platforms.

Looking ahead, the companies plan to integrate the BMLL Data Feed into Exegy's XCAPI API in 2025. This integration is intended to simplify the transition between historical data research and real-time production systems for mutual clients.

“We are excited to strengthen our partnership with BMLL Technologies, enhancing the value we bring to our clients,” commented David Taylor, the Chief Executive Officer at Exegy. “BMLL’s use of our trusted real-time OPRA data in its historical dataset underscores the quality and reliability of our solutions. We look forward to continuing our collaboration, empowering clients with robust tools for comprehensive research, backtesting, and more informed trading strategies.”

Pico Alliance

Two months ago, BMLL announced another partnership with Pico, a technology services provider for financial markets, aimed at integrating real-time and historical data solutions for financial institutions.

The collaboration seeks to address the increasing demand for simultaneous access to current and past market information, with the goal of enhancing research capabilities, liquidity analysis, and overall trading performance.

The combined offering is designed to provide a comprehensive solution for a range of financial professionals, including quants, banks, and brokers. It aims to simplify the transition from research to live trading while optimizing performance and reducing operational complexity.