Options Trading Gets Boost as Exegy And BMLL Partnership Tackles Data Challenges

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 , 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.

Paul Humphrey, Chief Executive Officer of BMLL, Source: LinkedIn

“In
November 2024 we announced the availability of six years of historical,
nanosecond unconflated OPRA options data in a cloud -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.

David Taylor, the Chief Executive Officer at Exegy

“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.

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 , 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.

Paul Humphrey, Chief Executive Officer of BMLL, Source: LinkedIn

“In
November 2024 we announced the availability of six years of historical,
nanosecond unconflated OPRA options data in a cloud -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.

David Taylor, the Chief Executive Officer at Exegy

“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.

This post is originally published on FINANCEMAGNATES.

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