#分享美股交易赢英伟达股票

1. Stock Price Trend Review: A Sharp Drop After Reaching a New High

In mid-May, Nvidia's stock price, driven by strong earnings, briefly hit a record high of about $238, after rising more than 13% from $207 through seven consecutive bullish days. However, on June 5th, it suffered a heavy decline, plunging 6.20% to close at $205.10, marking the largest single-day drop recently. As of June 6th, the stock fluctuated around $207.65, with the 52-week high still at $236.29.

This is a "expectation-killing" type correction. The stock has been consolidating at high levels for nearly three weeks, and the sensitive window for a directional choice has opened, with the long bearish candle on June 5th providing the short-term directional answer.

2. Fundamentals and Performance: Strong Data but Slowing Growth

In Nvidia's fiscal first quarter 2027 (ending April 2026), revenue reached $81.6 billion, up 85% year-over-year, with gross margin remaining high at around 75%. However, it is noteworthy that compared to the previous quarter's 73% growth rate, the current increase is only marginally higher; and relative to the $68.1 billion quarterly revenue in Q4, the quarter-over-quarter growth rate has shown signs of slowing—this is also one of the internal reasons for the stock's multiple "gap-up and fade" after earnings.

· Data center business remains the absolute core, contributing nearly 90% of the company's revenue, but over-reliance on a single segment indicates weaker structural risk resistance;
· Blackwell GPU shipments over the past four quarters totaled 6 million units, plus the next-generation Vera Rubin, expected to generate $500 billion in revenue by the end of 2026;
· The Chinese market is the biggest variable: high uncertainty exists around export restrictions on H20 chips, potential easing expectations, and demand recovery pace.

On the fundamental level, the company's "physique" remains robust, but the growth slope is shifting from steep to more moderate. The market's threshold for "unexpected growth" has been raised, and the gap between supply and demand expectations is narrowing.

3. Key Technical Levels: Support and Resistance Battles

Currently, the technical picture shows coexistence of short-term bearish momentum and medium-term bullish structure.

| Level | Price Range | Technical Implication |
|---------|----------------|------------------------|
| Recent Low | $204.33 | The intraday low on June 5th, an important short-term observation point |
| 50-day EMA | ~$205-206 | Mid-term vital support, a break below would shake bullish confidence |
| 22-day EMA | ~$212-215 | First obstacle for short-term rebound |
| Resistance Zone | $232-236 | "Ceiling," repeatedly tested in May without success |
| Long-term Trend Support | ~$185 (200-day EMA) | A break here would fundamentally change the trend structure |

On the daily chart, the price has broken below all short-term moving averages (5, 10, 30 days), and on the hourly level, it is in a clear bearish phase. RSI has fallen from a neutral 54.25 to below 40, indicating weakness, while MACD shows negative histogram accumulation, with short-term momentum biased bearish.

However, on the weekly and monthly charts, the three main exponential moving averages (20, 50, 200 days) still maintain a good bullish alignment. Some analysts interpret this correction as healthy consolidation within a bull market, similar to a "bull flag" pattern, rather than a trend reversal. If the price can find effective support and stabilize around $200-205, there remains potential to retest the resistance zone at $232-236.

The medium-term trend remains intact, but the short-term turning point is being tested. Whether the long bearish candle on June 5th is merely an emotional reaction or the start of a deeper correction will be the most important variable to watch in the coming trading days.

4. Institutional Ratings and Target Prices: Divergence Between Domestic and Foreign Expectations

As of early June, several top institutions maintained positive ratings on Nvidia:

| Institution | Rating | Target Price | Core Logic |
|--------------|---------|--------------|--------------|
| Bank of America Securities | Buy | $350 | Next-gen chips could double the potential market size |
| Morgan Stanley | Overweight | $288 | Vera Rubin is key to maintaining market share |
| Goldman Sachs | Buy (Conviction List) | $1,000 | Optimistic scenario's long-term valuation |
| Southwest Securities | Buy | $249.54 | Full-stack ecosystem advantages continue to benefit AI computing demand |
| Citibank | Buy | $270 | Current valuation is attractive |

The target price range varies greatly (from $250-350 to $1,000), reflecting fundamental differences in valuation over different time horizons and systems:

· BofA and Morgan Stanley's targets ($288-350) are anchored on 2027 earnings, with PE ratios of 22-25, representing a cautious valuation center;
· Goldman Sachs' $1,000 target implies an aggressive assumption of a "linear extrapolation" of the AI infrastructure cycle into a super-long cycle, which has limited reference value for ordinary investors and should not be used as a short-term pricing basis.

5. Bullish and Bearish Factors: Accumulation of Positives, Hidden Risks

Support Factors

1. AI computing demand remains strong, with cloud service providers continuously increasing capital expenditure budgets; the medium-term outlook remains unchanged.
2. Vera Rubin platform's mass production and delivery in the second half of the year, with major vendors like AWS, Google Cloud, and Microsoft Azure planning initial deployments; institutional surveys confirm large shipment potential.
3. If the H20 export restrictions are lifted, optimistic scenarios could bring in $12-17.5 billion in revenue in 2026.
4. Sovereign AI trading becomes a new growth engine, with projects in Canada, France, and the UK expected to contribute over $30 billion in revenue this fiscal year.
5. The massive $80 billion buyback plan provides a bottom support for the stock, with the market continuously digesting this positive signal.

Risks and Concerns

1. Rumors of memory reductions disturb sentiment: market misinterpretation of SemiAnalysis reports triggered a chain reaction, with Micron plunging over 10% and SK Hynix nearly 10%. Although Jensen Huang clarified the next day that HBM usage would not be cut, such information can trigger panic, which often does not subside immediately.
2. Chinese demand risks may be underestimated: short-selling firm Culper believes 20-40% of Nvidia's data center demand still comes from "functionally Chinese" needs. If China intensifies domestic substitution, this hidden demand could shrink visibly, impacting beyond market expectations.
3. Sustainability of AI growth is questionable: some believe the AI boom may contain bubbles; if the industry cycle shifts, Nvidia's balance sheet alone may not support sustained demand.
4. Supply restrictions remain a key constraint, potentially becoming an "adverse factor" for future gaming business.

6. Overall Assessment and Key Focus Points

Recent market movements can be summarized as: strong fundamentals but slowing marginal growth, medium-term bullish but short-term bearish technicals, institutional consensus but with structural concerns. The sharp decline of over 6% on June 5th is a resonance of multiple negative signals (memory misinterpretation rumors, Broadcom's earnings below expectations impacting ASIC sector, profit-taking in overall AI semiconductors), occurring simultaneously in a window period—more a concentrated emotional release than a fundamental shift.

In the coming weeks, close monitoring of these key variables is essential:

1. Whether the $200-205 zone (near the 50-day EMA) can hold effectively—this is the most critical tactical observation point, as it will directly influence the medium-term trend judgment;
2. The actual delivery pace of Vera Rubin chips and the realization of Q2 earnings guidance;
3. The final outcome of US export controls on H20 chips to China and the actual demand changes in China;
4. Whether cloud service providers will further increase or marginally converge their capital expenditure plans;
5. Whether tensions in the memory supply chain will translate from emotional to actual supply-side impacts.