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Bitget Adds U.S. Stocks and ETFs to rToken Ecosystem

Bitget, the world's largest Universal Exchange (UEX), has introduced rToken Stock Transfer, a feature that allows users to move eligible U.S.-listed stocks and exchange-traded funds from traditional brokerage accounts into tokenized versions known as rTokens. The service supports more than 3,000 assets and involves a two-step process: users initiate a Free of Payment (FOP) transfer from their external broker to Bitget's designated Alpaca omnibus account. Once the shares arrive and are processed, Bitget's In-Kind Tokenization Network automatically converts them into corresponding rTokens and credits the assets to the user's spot account. Transfers into Bitget are free, with processing estimated to take approximately 10 business days. Moving assets out of the platform incurs a fee. The launch forms part of Bitget's broader effort to integrate traditional financial instruments into its digital asset ecosystem. Through its real-world asset (RWA) initiatives, the exchange is seeking to make tokenized assets easier to transfer, trade, and use across different financial products. The feature builds on Bitget's rToken ecosystem, supported by its Reality asset issuance platform. As of July 6, rToken assets under management had reached approximately $114 million, while cumulative transactions exceeded two million. Once transferred, eligible rTokens can be used for spot trading and may qualify for additional functions, including margin trading, borrowing, lending, and yield products, subject to asset eligibility and the relevant terms. The approach is intended to give investors more options for managing their existing equity holdings without first selling the underlying positions and separately funding a crypto account. Bitget has also outlined a longer-term goal of allowing eligible tokenized assets to serve as collateral for other trading activities. The launch highlights a broader shift in tokenized finance, as platforms seek to move beyond offering blockchain-based access to traditional assets and toward integrating them into trading, lending, and collateral systems. Whether that model delivers greater capital efficiency in practice will depend on asset eligibility, liquidity, fees, and the conditions governing each product.

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