Bitrue has launched perpetual futures on tokenized shares of Texas Instruments and Nvidia, letting users trade TXNUSDT and NVDLUSDT with up to 20x leverage on an exchange that has been steadily expanding beyond crypto-native assets into tokenized U.S. equities.
The listing arrives days after Texas Instruments' own earnings release showed second-quarter revenue of $5.46 billion, up 23% year-over-year, with diluted earnings per share of $2.14, up 52% from a year earlier. Growth was broad-based: industrial revenue rose roughly 30% as customers rebuilt depleted inventories and adopted new higher-content systems, data center revenue doubled year-over-year on demand for power-conversion chips, and automotive demand picked up on EV and hybrid growth in China. Texas Instruments guided third-quarter revenue to a range of $5.65 billion to $6.15 billion.
Nvidia's Momentum Is the Other Half of the Trade
NVDL, a leveraged product tracking Nvidia, gives Bitrue traders exposure to a chipmaker that has remained at the center of the AI buildout driving demand for the exact kind of data-center hardware Texas Instruments' own results just highlighted. Pairing the two tickers as new perpetual listings lets Bitrue users take leveraged positions on both sides of the same underlying trend, semiconductor demand tied to AI infrastructure spending, without needing a traditional brokerage account.
Part of a Broader Tokenized-Stock Push
The TXN and NVDL launch follows Bitrue's listing of a Palantir-tracking perpetual, PLTRON, earlier the same week, continuing a pattern of exchanges racing to offer tokenized, leveraged access to the stocks driving the current AI infrastructure trade. As with any leveraged product, 20x exposure to TXN or NVDL price moves magnifies both gains and losses relative to holding the underlying shares directly.
Related: Big Tech's AI Spending Set to Hit a Record 2.4% of US GDP in 2026
For now, the listings give Bitrue's crypto-native user base same-platform access to two of the more closely watched names in the semiconductor sector, at a moment when both companies' results are being read as signals for how durable AI-driven chip demand really is.
