AI Agents Expand Into Tokenized Stocks as Agentic Finance Race Accelerates

BeInCrypto1 min read
AI Agents Expand Into Tokenized Stocks as Agentic Finance Race Accelerates

RWA Signal Insight

Stocks

Ondo Finance, Virtuals Protocol, and Treasures have launched a new service enabling over 40,000 autonomous AI agents to trade more than 430 tokenized stocks. This integration allows AI bots to execute onchain equity transactions, with Ondo Finance providing the tokenized assets and Treasures managing the execution layer. The service is currently available on both the Ethereum and Solana blockchains, though access remains subject to specific jurisdictional restrictions. By bridging agentic finance with real-world assets, this development marks a significant step toward autonomous financial systems where AI agents actively participate in capital markets. The collaboration highlights the growing intersection of artificial intelligence and decentralized finance, potentially increasing liquidity and efficiency for tokenized equities. As AI agents gain the ability to manage portfolios and execute trades, the RWA market faces a new paradigm of automated, high-frequency onchain investment. This shift underscores the accelerating race to integrate agentic capabilities into the broader financial infrastructure.

Key points

  • Ondo, Virtuals, and Treasures enabled 40,000+ AI agents to trade 430+ tokenized stocks.
  • Service operates on Ethereum and Solana blockchains for onchain equity execution.
  • Ondo Finance provides the underlying tokenized assets for the AI-driven trading platform.
  • Integration marks a major milestone in the convergence of agentic finance and RWAs.

Background

Ondo Finance is a prominent protocol focused on bridging traditional financial assets with blockchain technology, primarily through tokenized U.S. Treasuries and equities. It utilizes a permissioned, compliant framework to allow investors to access institutional-grade financial products onchain. By tokenizing these assets, Ondo enables 24/7 trading and increased liquidity for traditional financial instruments.

Relevance score

8.0/10
Lower relevanceHigher relevance
Source: RWA Signal relevance modelHow we score
Read the full article at BeInCrypto
All articles