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: Executing the Migration to Cloud to Enable Scalability and Innovation

Cloud-based services and processing have become essential to financial institutions as their data management demands have become more complex and expansive. Thousands of organisations have made the jump from their limited on-premises tech stacks to the near-infinite scalability opportunities of public and private clouds. They have also been motivated by the need to modernise their...

BLOG

Deeploy Q&A: Keeping a Careful Eye on AI Agents and Models

Dutch governance for AI platform Deeploy works within highly regulated industries to ensure their agents and models are running on safe guard rails. Data Management Insight spoke to Maarten Stolk, Co-Founder and Chief Executive at Deeploy, about the company and why governance is so crucial in the AI age. Data Management Insight: When was Deeploy...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...