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Trading 3 min read · Jul 23, 2026

Bybit Brings Structured Yield Products to Tokenized Stocks With xStocks Integration

Bybit has become the first centralized exchange to integrate tokenized stocks into a structured yield product, expanding Dual Asset with xStocks including SpaceX, NVIDIA and Apple.

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Lidia Yadlos
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Bybit Brings Structured Yield Products to Tokenized Stocks With xStocks Integration

Bybit is betting that tokenized stocks are ready for more than simple buy-and-hold investing.

The exchange has become the first centralized crypto platform to add tokenized U.S. equities to a structured yield product, allowing users to earn returns based on the price movements of companies including SpaceX, NVIDIA, Apple, Alphabet, Coinbase and Amazon.

Turning Stock Predictions Into Yield

Bybit's Dual Asset product has traditionally allowed users to earn fixed returns by predicting the future price of cryptocurrencies. Now, the same mechanism has been extended to tokenized equities.

Rather than simply buying tokenized shares, investors can select an xStock trading pair, choose a target price and investment period, then earn a fixed return if market conditions meet the product's settlement criteria.

The structured product supports investment terms of 8 hours, 1 day and 7 days, with subscriptions ranging from 30 USDT to 200,000 USDT.

The launch gives crypto-native investors another way to gain exposure to some of the world's most closely watched companies while using products they're already familiar with.

Riding the Tokenization Wave

The timing reflects one of the biggest themes in digital assets. Tokenized real-world assets have become one of crypto's fastest-growing sectors, with major financial institutions increasingly exploring blockchain as infrastructure for stocks, bonds and other traditional assets.

By extending Dual Asset beyond cryptocurrencies, Bybit is betting that demand for structured products won't stop at Bitcoin and Ethereum.

Instead, it expects investors to increasingly seek yield opportunities tied to sectors driving today's markets, including artificial intelligence, semiconductors, cloud computing, digital assets and private aerospace.

The initial lineup reflects that trend, with exposure spanning AI leader NVIDIA, private space company SpaceX, technology giants Apple, Alphabet and Amazon, alongside crypto-native exchange Coinbase.

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A Familiar Product, New Markets

Structured products remain one of the largest segments of traditional wealth management, allowing investors to express market views while targeting defined returns.

Bybit is now bringing that concept to tokenized stocks.

According to Jerry Li, Head of Earn and Wealth Management at Bybit, the move reflects growing demand from crypto investors looking to access broader financial markets without leaving blockchain-native products.

"Dual Asset has been one of the ways our users turn market conviction into yield. Extending that same mechanism to tokenized equities reflects where investor interest is heading, as crypto-native audiences look to engage with sectors across AI, tech and space exploration through tools they already understand."

Unlike buying stocks outright, Dual Asset enables users to potentially earn yield while waiting for a preferred entry or exit price, creating an alternative way to build exposure to tokenized equities.

Tokenized Stocks Continue to Expand

Bybit's announcement comes as tokenized equities gain momentum across the industry.

Over the past month, several exchanges and trading platforms have expanded support for blockchain-based stocks, while demand has accelerated among crypto investors seeking access to U.S. equities without relying on traditional brokerages.

The market has grown particularly quickly around technology companies tied to artificial intelligence, semiconductors, cloud infrastructure and private space exploration—sectors that dominate today's investment narratives.

For exchanges, tokenized stocks represent an opportunity to move beyond crypto trading and become broader financial platforms.

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