Bluwhale launches AI trading agent for tokenized stocks and real-world assets

Bluwhale launches AI trading agent for tokenized stocks and real-world assets

N
News Editor
2026-09-25 09:59:55
Bluwhale has introduced an AI trading agent service focused on tokenized stocks and real-world assets, adding support for commodities including gold, silver and oil. The company describes itself as an AI financial operating system that connects millions of users with both traditional financial services and blockchain-based offerings. The update comes as the broader tokenized equities market already includes instruments tied to widely held companies such as Apple, Microsoft and Tesla. Availability of those products, however, is not uniform. It varies depending on the issuer, the venue where the instruments trade, user eligibility requirements and the jurisdiction involved. The item was cited by Techub News from Finextra Crypto.

Bluwhale has launched an AI trading agent service for tokenized stocks and real-world assets, according to Techub News. Supported assets include gold, silver and oil.

Bluwhale describes itself as an AI financial operating system connecting millions of users with traditional finance and blockchain-based financial services.

In the wider tokenized stock market, financial instruments tied to widely held companies such as Apple, Microsoft and Tesla are already available. Their availability differs by issuer, trading venue, user eligibility and jurisdiction.

The item was attributed to Finextra Crypto.

This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan.
3100

Disclaimer:

The market information, project data, and third-party content displayed on this platform are for industry information sharing only and do not constitute any form of investment advice or return commitment.

Cryptocurrency trading carries high risks. Users should fully assess their risk tolerance and make independent decisions. All profits, losses, and legal responsibilities are borne by the users themselves.