5 U.S. Stocks Everyone Is Trading

During the integration of U.S. stocks into crypto, trading volume for Bitget's rTokens — tokenized U.S. stocks issued by the Reality protocol — has been surging, especially for five names: RNVDA (NVIDIA), RSNDK (SanDisk), RSPCX (SpaceX), RMU (Micron), and RSKHY (SK Hynix). This isn't random hype. These tokens sit squarely at the center of the market's strongest current narrative — the AI compute and storage supercycle — amplified by trading convenience on the platform and near-term event catalysts, creating a clear pull of capital.

This article breaks down why traders love these five U.S. stock tokens across three angles: Market logic, stock-specific catalysts, and trading advantages.

Core theme: AI heats up again as capital flows back into growth tech names

Early August brought a clear market signal: AI is back in favor, and capital is flowing back into high-growth tech names. Three threads stand out:

• AI application: PLTR, MSFT, etc.

• Data centers and compute: NVDA, AMD, VRT, CAT.

• Storage supply chain: WDC, SNDK, MU.

These five rTokens cover nearly all the key names in the last two threads — NVDA is the undisputed compute leader, SpaceX reinforces the AI infrastructure narrative, and SNDK/MU/SKHY represent the storage side of the story. Semiconductor-related rTokens account for nearly half of total trading volume on Bitget, with rNVDA, rMU, and rSNDK consistently ranking among the most traded — a clear sign of sustained demand for AI infrastructure exposure.

As the market shifts from a broad rally to a more selective phase, capital rotates first into the names with the highest certainty and the fastest fundamental validation — which is exactly why these five stocks are being traded together.

Stock-specific catalysts: Event-driven momentum meets fundamental validation

1. RNVDA (NVIDIA)

After SpaceX's first public earnings report, Elon Musk confirmed that future AI infrastructure — both on the ground and in orbit — will run exclusively on Nvidia chips, singling out the Vera Rubin architecture as the top choice. SpaceX is targeting 2GW of compute by year-end and 10GW next year, further cementing Nvidia's dominance in hyperscale AI infrastructure. When capital rotates back to the sector leader, rNVDA is the most direct way to trade it.

2. RSPCX (SpaceX)

Sitting at the crossroads of AI infrastructure and space-based compute, rSPCX has long held the top spot in Bitget's rToken TVL rankings. Post-earnings, the stock pulled back and faced supply pressure from a lock-up expiry, driving short-term volatility — but the long-term growth case (AI infrastructure orders, expanding compute capacity) remains intact. Traders see it as a way to build long-term AI exposure on dips, and both trading volume and user engagement remain high.

3. RSNDK (SanDisk) and RMU (Micron)

The storage supply chain has been the fastest to deliver results. SanDisk posted FY2026 Q4 revenue of $8.97 billion, up more than 300% year-over-year, with its data center business doubling and guidance coming in well above expectations; Western Digital's revenue grew 44% YoY over the same period. Demand for enterprise storage from AI data centers has moved from expectation to reality. rSNDK and rMU are direct beneficiaries of this storage supercycle, making them top picks as capital rotates.

4. RSKHY (SK Hynix)

As a core supplier of HBM (high-bandwidth memory), SK Hynix is closely tied to demand from AI servers and data centers. Alongside MU and SNDK in the storage/memory space, it fills out exposure to the storage chain as AI compute drives rigid demand for high-end memory.

None of these stocks are rallying in isolation — they reinforce each other: Nvidia locks in exclusive orders → data center capital expenditures accelerate → storage demand materializes → the related rTokens move together.

5. The trading edge: Why rTokens over traditional U.S. stocks?

rTokens are built to solve the exact pain points crypto users face when trading U.S. stocks:

• 1:1 backed by real shares: The underlying shares are held by a licensed broker, with price, dividends, and splits/reverse splits all mirrored — giving strong transparency.

• 24/7 trading, settled in USDT: Select tokens support more flexible trading hours, with far better capital turnover than a traditional brokerage account.

• Usable as margin in unified trading account: Hold rTokens and use them directly as margin for futures or margin trading — getting both market exposure and capital efficiency without having to sell and convert to stablecoins first.

• Low barriers, solid liquidity: Semiconductor and tech rTokens have deep order books on the platform — rNVDA and rSNDK in particular — making them suitable for both short-term event trades and medium- to long-term positioning.

During high-volatility windows — earnings season, lock-up expirations, or a strengthening AI narrative — these advantages make rTokens an efficient tool for capturing both short-term opportunities and long-term themes.

Bitget rToken's core edge: Liquidity and capital efficiency

Beyond matching the theme of the moment, these five rTokens trade at high frequency thanks to Bitget's clear edge in liquidity and capital efficiency. Data shows semiconductor-related rTokens — including rNVDA, rMU, and rSNDK — account for nearly half of total trading volume, with rNVDA consistently topping the charts and rSPCX leading in user engagement and share of TVL. Depth and trading activity here far outpace similar products. Trades tap directly into real liquidity pools like Nasdaq, keeping intraday slippage low and execution fast — even during periods of heightened volatility.

Even more important is capital efficiency. Bitget's cross-asset unified trading account (UTA) folds rTokens into a shared margin pool, letting users put their holdings straight to work as margin for futures trading, margin trading, or loan — no need to close positions or convert to another asset first. That means you can keep your long-term AI exposure to NVIDIA, SpaceX, and the storage chain names while putting the same capital to work on other strategies at the same time — getting more out of every dollar. In a market defined by AI divergence and frequent event catalysts, this ability to hold and trade in parallel sharply boosts capital turnover and hedging flexibility, and it's a big reason active traders keep coming back.

The takeaway: A premium for certainty, catalysts, and product convenience

At its core, the rush into these five rTokens reflects the market answering one question: Can the AI boom drive another round of growth?

Right now, the answer leans "yes" — but the path has shifted from a broad rally to a more selective setup: A premium on the sector leader (NVDA), validation from the storage names (SNDK/MU/SKHY), and emerging infrastructure plays (SPCX). Users with capital are chasing certainty while also trading the swings around earnings, lock-up expirations, and order confirmations.

Bitget's rTokens bring these high-profile names into crypto-native form — preserving real exposure to U.S. stock fundamentals while adding trading flexibility and capital efficiency on top. That's exactly why they've become some of the most closely watched trading instruments right now.

Risk disclaimer: U.S. stocks have seen heightened volatility recently. The above is for informational purposes only and does not constitute investment advice. Before trading, assess your own risk tolerance, monitor volume, the VIX, and technical support levels, and manage position sizes responsibly.