Saturday, July 6, 2024

CCData, BMLL Collaborate to Meet Demand for Crypto Analytics

London-based
companies CCData and BMLL Applied sciences have introduced a brand new partnership aimed toward
streamlining entry to information throughout conventional and digital asset markets.

CCData, an
FCA-authorized benchmark administrator, gives digital asset information options
and settlement indices. BMLL Applied sciences affords monetary establishments
granular historic information and analytics on markets.

The
partnership comes as demand grows for tailor-made information options following the
approval of the primary spot Bitcoin ETFs within the USA. The 2 firms mix
their specializations to empower purchasers with superior metrics to navigate
complexities in each areas.

Paul Humphrey, the CEO of BMLL, mentioned the collaboration responds to a rising urge for food for high quality
crypto information amongst institutional purchasers. His firm not too long ago secured $26
million
in a Collection B funding spherical.

“Digital
asset merchants at the moment are in a position to entry historic information and analytics for all
Crypto ETFs and Futures from all conventional US Fairness and Futures venues in a
single constant format by way of BMLL, enabling them higher to know
conventional market microstructure on the Crypto markets,” Humphrey commented.

The
partnership aligns with BMLL’s mission of supplying monetary establishments with
top-tier historic order ebook information. BMLL has harmonized degree three information
throughout asset courses right into a unified format so customers can seamlessly analyze
actions throughout conventional and digital asset markets.

CCData’s CEO, Charles Hayter, added that integrating his agency’s correct crypto datasets with
BMLL’s experience will meet the escalating demand for dependable and
all-encompassing market information.

“This
partnership with BMLL Applied sciences marks a major milestone for CCData,
enhancing {our capability} to satisfy the escalating demand for complete and
dependable monetary market information,” Hayter concluded.

BMLL’s Current Information
Cooperations

The
impartial supplier of harmonized historic information and analytics throughout international
fairness, futures, and crypto markets has expanded its information protection and entry
over the previous yr.

In October,
the corporate took steps to increase its APAC equities and ETF information protection. This
included including China fairness information from the Shanghai, Shenzhen, and Hong Kong
exchanges in early 2024.

Over the
subsequent few months, BMLL took steps to extend the provision of its datasets. In
December, it added Canadian exchanges just like the Toronto Inventory Alternate to its
information protection. Then, in January 2024, it made three key datasets accessible by way of
the Snowflake Market
to enhance buyer analysis and entry.

In accordance
to BMLL, prolonged information protection and availability will empower purchasers to
improve analysis, surveillance, commerce evaluation and technique growth by
seamlessly leveraging harmonized historic information and analytics throughout markets.

London-based
companies CCData and BMLL Applied sciences have introduced a brand new partnership aimed toward
streamlining entry to information throughout conventional and digital asset markets.

CCData, an
FCA-authorized benchmark administrator, gives digital asset information options
and settlement indices. BMLL Applied sciences affords monetary establishments
granular historic information and analytics on markets.

The
partnership comes as demand grows for tailor-made information options following the
approval of the primary spot Bitcoin ETFs within the USA. The 2 firms mix
their specializations to empower purchasers with superior metrics to navigate
complexities in each areas.

Paul Humphrey, the CEO of BMLL, mentioned the collaboration responds to a rising urge for food for high quality
crypto information amongst institutional purchasers. His firm not too long ago secured $26
million
in a Collection B funding spherical.

“Digital
asset merchants at the moment are in a position to entry historic information and analytics for all
Crypto ETFs and Futures from all conventional US Fairness and Futures venues in a
single constant format by way of BMLL, enabling them higher to know
conventional market microstructure on the Crypto markets,” Humphrey commented.

The
partnership aligns with BMLL’s mission of supplying monetary establishments with
top-tier historic order ebook information. BMLL has harmonized degree three information
throughout asset courses right into a unified format so customers can seamlessly analyze
actions throughout conventional and digital asset markets.

CCData’s CEO, Charles Hayter, added that integrating his agency’s correct crypto datasets with
BMLL’s experience will meet the escalating demand for dependable and
all-encompassing market information.

“This
partnership with BMLL Applied sciences marks a major milestone for CCData,
enhancing {our capability} to satisfy the escalating demand for complete and
dependable monetary market information,” Hayter concluded.

BMLL’s Current Information
Cooperations

The
impartial supplier of harmonized historic information and analytics throughout international
fairness, futures, and crypto markets has expanded its information protection and entry
over the previous yr.

In October,
the corporate took steps to increase its APAC equities and ETF information protection. This
included including China fairness information from the Shanghai, Shenzhen, and Hong Kong
exchanges in early 2024.

Over the
subsequent few months, BMLL took steps to extend the provision of its datasets. In
December, it added Canadian exchanges just like the Toronto Inventory Alternate to its
information protection. Then, in January 2024, it made three key datasets accessible by way of
the Snowflake Market
to enhance buyer analysis and entry.

In accordance
to BMLL, prolonged information protection and availability will empower purchasers to
improve analysis, surveillance, commerce evaluation and technique growth by
seamlessly leveraging harmonized historic information and analytics throughout markets.



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