#分享美股交易赢英伟达股票

NVIDIA Revelation: AI Computing Power Builds a Trillion-Dollar Moat, My U.S. Stock Investment Journey

When the news of Gate officially launching stock trading functionality was announced, I immediately paid attention to the buzz under the topic #GateOfficiallyLaunchesStockTrading. This service allows users to directly trade stocks and ETFs of major U.S. securities markets within the platform using USDT, connecting to compliant brokers holding U.S. brokerage licenses to access real securities markets, truly opening a channel between crypto assets and traditional financial markets. For long-term USDT holders like me who have struggled to participate conveniently in U.S. stock trading, this is undoubtedly a milestone breakthrough.

Yesterday, I bought one lot of NVIDIA (NVDA) stock at approximately $212 per share. So far, the paper profit is about 3.2%. Choosing NVIDIA was not a momentary impulse following the hype. Over the past year, I have closely tracked the U.S. tech sector, observing from Q1 earnings reports the explosive growth of data center business, seeing the rigid logic behind AI chip demand. Next, I want to discuss the logic behind this trade.

Part 1. The Investment Logic of NVIDIA

There are three core reasons supporting this trade.

First, the demand for AI computing power is far from peaking. The financial data is the strongest proof—NVIDIA’s total revenue for fiscal Q3 2026 reached a record $57 billion, up 22% quarter-over-quarter and 62% year-over-year, with data center revenue at $51.2 billion, up 66% year-over-year. Since the launch of ChatGPT, NVIDIA’s data center business has expanded nearly 13 times, with long-term AI demand being persistent and rigid. As long as the AI arms race continues, NVIDIA’s performance ceiling is far from being reached.

Second, technological iteration builds a deep moat. NVIDIA CEO Jensen Huang announced at GTC that the Blackwell architecture chips are now fully in production, and the next-generation Vera Rubin super chip will start shipping in the second half of 2026. From the production of Blackwell in 2024, to Blackwell Ultra in 2025, and Rubin in 2026, NVIDIA releases a new product each year. The continuously iterated chip product line creates a technological gap that is hard to catch up with, forcing any competitors to face a chase period of at least one year, or several years.

Third, gross margin demonstrates printing-press-like pricing power. NVIDIA’s GAAP gross margin for Q4 FY2026 reached 75.2%, far exceeding the industry average, stemming from its near-monopoly dominance in the AI chip market. Bridgewater Fund significantly increased its holdings of NVIDIA by over 54% last quarter, indicating top-tier institutional confidence in its fundamentals.

Part 2. New Possibilities Brought by Gate Stock Trading

Honestly, Gate’s launch of stock trading solves a long-standing pain point for me. As a cryptocurrency investor, my funds are stored in USDT within my wallet. Every time I want to participate in U.S. stocks, I have to go through a series of complex processes like withdrawing funds, cross-border wire transfers, and waiting for broker account approval. Now, I can directly buy U.S. stocks with USDT with one click, without opening an overseas broker account. The funds are cycled within the Gate ecosystem, greatly improving efficiency.

From an asset allocation perspective, the introduction of stock trading allows me to truly balance my crypto assets and traditional financial holdings on the same platform. In the past, during crypto market crashes, I could only passively watch; now, I can hedge risks by allocating to leading U.S. tech stocks. Since the global stock market recovery, NVIDIA has gained 34%, outperforming the Nasdaq 100’s 26% and the S&P 500’s 16%. Such returns are highly attractive to investors seeking diversified allocations.

Part 3. My Trading Strategy and Risk Control

In practice, I adopt a “dollar-cost averaging + partial profit-taking” strategy. The current price of $212 is not an absolute low, but considering NVIDIA’s ongoing earnings surprises, long-term holding is key. Therefore, I plan to build my position gradually through monthly investments, avoiding short-term chasing of highs, and adding more during sharp pullbacks. For profit-taking, I set the first target around $250, taking profits in stages while retaining some position for long-term holding.

The risk control logic is that competition in AI chips is intensifying. New entrants like DeepSeek challenge existing hardware costs with their V4 model, reducing 73% of computing costs; Google’s TPU has reached its eighth generation, and Meta is also advancing its in-house AI chip roadmap. If NVIDIA cannot maintain its technological lead, its stock price will face significant pressure. Additionally, export restrictions have caused an estimated $4.6 billion loss in NVIDIA’s quarterly data center revenue. These uncertainties are key variables I need to continuously monitor during my staged purchases.