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Monday, March 4, 2024

CCData, BMLL Collaborate to Meet Demand for Crypto Analytics


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

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

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

BMLL CEO
Paul Humphrey mentioned the collaboration responds to rising urge for food for high quality
crypto knowledge 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 capable of entry historic knowledge and analytics for all
Crypto ETFs and Futures from all conventional US Fairness and Futures venues in a
single constant format through 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 e book knowledge. BMLL has harmonized stage three knowledge
throughout asset courses right into a unified format so customers can seamlessly analyze
actions throughout conventional and digital asset markets.

CCData 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 knowledge.

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

BMLL’s Current Information
Cooperations

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

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

Over the
subsequent 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
knowledge protection. Then, in January 2024, it made three key datasets accessible through
the Snowflake Market
to enhance buyer analysis and entry.

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

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

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

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

BMLL CEO
Paul Humphrey mentioned the collaboration responds to rising urge for food for high quality
crypto knowledge 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 capable of entry historic knowledge and analytics for all
Crypto ETFs and Futures from all conventional US Fairness and Futures venues in a
single constant format through 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 e book knowledge. BMLL has harmonized stage three knowledge
throughout asset courses right into a unified format so customers can seamlessly analyze
actions throughout conventional and digital asset markets.

CCData 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 knowledge.

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

BMLL’s Current Information
Cooperations

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

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

Over the
subsequent 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
knowledge protection. Then, in January 2024, it made three key datasets accessible through
the Snowflake Market
to enhance buyer analysis and entry.

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



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