About a-team Marketing Services
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: Building a Semantic Layer for Your Enterprise Data Estate

The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...

BLOG

Agentic AI’s Data Quality Imperative: AI in Capital Markets Summit Review

Artificial intelligence agents are not only changing the way organisations deploy new technology, they are also throwing new challenges to data managers as the autonomous structures place new demands on their infrastructure. It’s not enough that AI needs good-quality data to generate and perform the most accurate and safest outputs; agents are also prompting a...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...