Bitget has launched Stock+, a new feature under its Stocks 2.0 suite that enables eligible users to buy real U.S. stocks directly with cryptocurrency. The exchange announced the rollout on Monday, positioning the product as a bridge between digital assets and traditional equities.
With Stock+, users' crypto is first converted into Circle's USDC stablecoin, which is then used to purchase full or fractional shares of U.S. companies. Bitget stresses that the feature provides actual ownership of the underlying stocks—not synthetic exposure. Through regulated brokers such as RQD Clearing and Atomic Vaults Securities, trades are executed on venues like the Nasdaq and NYSE, ensuring that each position is backed by a real share. Holders are entitled to cash dividends and stock-split adjustments, though shareholder rights like voting must be exercised through the Bitget platform rather than directly by the user.
The geographic reach is limited: residents of the U.S., UK, EU, Canada, Australia, and several other major markets are excluded. Bitget also supports inbound transfers of existing U.S. stock holdings from participating brokers, but outbound transfers are not yet available. Trading fees start at 0.1%, with a 50% discount offered through August 31, 2026.
Stock+ is part of Bitget's broader “universal exchange” vision, which aims to combine crypto, tokenized assets, commodities, and equities in one platform. Its Stocks 2.0 overhaul, introduced in early June, already includes tokenized stocks (rTokens) via the Reality protocol. The exchange now lists more than 500 U.S. stocks and ETFs, with over $50 million in assets under management tied to its rToken products.
The launch intensifies a race among major crypto exchanges to integrate traditional securities. Binance recently unveiled its bStocks product, while Gate opened access to Hong Kong-listed stocks using USDT. Bitget's move reinforces the trend of erasing the line between crypto balances and equity portfolios, though regulatory hurdles and regional restrictions will determine how far the model can scale.
