About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Bloomberg and Kaiko Expand FIGI Cover for Crypto Assets

Subscribe to our newsletter

Bloomberg and Kaiko, a cryptocurrency data provider, have announced that Financial Instrument Global Identifiers (FIGIs) now cover almost 8,000 crypto assets and suggest this makes the FIGI the most widely used open identifier in the space.

The companies issued the first series of FIGIs to cover crypto assets in 2021 as a push for standardisation in a rapidly growing cryptocurrency industry in need of greater consistency, transparency and efficiency. FIGIs for crypto assets enable interoperability between industry participants across the trading life cycle. At infrastructure level they enable a clear view of market data across multiple providers and applications.

“The continuous evolution of the cryptocurrency industry demands cohesive standards for taxonomic, regulatory and classification frameworks. Our collaboration with Bloomberg in expanding FIGIs for crypto assets is a stride towards enhancing industry interoperability and fostering efficiency,” says Ambre Soubiran, CEO of Kaiko.

The FIGI is an open standard of the Object Management Group (OMG) and a recognised US national standard by the American Standards Committee, X9, part of the American National Standards Institute (ANSI).

FIGIs are assigned at three levels of granularity: asset, currency pair and trading platform. This hierarchy provides market participants with greater transparency and a broader view across the sector. The standard complements, and is compatible with, other relevant identifiers in the space with each instrument assigned with a FIGI able to be tied at an asset level to the ISO’s Digital Token Identifier (DTI), or to an International Securities Identification Number (ISIN) with appropriate licensing.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Hearing from the Experts: AI Governance Best Practices

The rapid spread of artificial intelligence in the financial industry presents data teams with novel challenges. AI’s ability to harvest and utilize vast amounts of data has raised concerns about the privacy and security of sensitive proprietary data and the ethical and legal use of external information. Robust data governance frameworks provide the guardrails needed...

BLOG

Hidden Dangers in the Race to ‘AI-Readiness’

The data ecosystem has been awash with references to “artificial intelligence readiness” in the past few months, a reflection of the importance being placed on the technology within capital and private markets. The term is generally used in calls for institutions to upgrade their data management systems to ensure their data is of good enough...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Regulatory Data Handbook 2014

Welcome to the inaugural edition of the A-Team Regulatory Data Handbook. We trust you’ll find this guide a useful addition to the resources at your disposal as you navigate the maze of emerging regulations that are making ever more strenuous reporting demands on financial institutions everywhere. In putting the Handbook together, our rationale has been...