#分享美股交易赢英伟达股票 Panoramic Analysis of the Future Short- and Medium-Term Trends of U.S. Stocks (June 2026, After Non-Farm Payrolls Surpass Expectations)

U.S. Stock Market Analysis (Eastern US, June 4 | Beijing Time, Early June 5 Close): Extreme style divergence, Dow hits a record high

1. Current Core Background: Bullish long cycle intact, but a short-term adjustment window has emerged
Medium to long-term (quarter / half-year) trend remains unchanged
The AI-driven long bull structure since 2023 in U.S. stocks remains unbroken, with corporate profit centers relying on computing power, large models, and AI hardware/software continuously advancing; the soft landing foundation of the U.S. economy persists, with no signs of deep recession, and long-term capital allocation towards tech growth remains the main direction without reversal.
In the short term (1–4 weeks), from strong to consolidative digestion
The three major indices in May experienced continuous short squeezes, with nine consecutive weekly gains, accumulating substantial profit-taking; combined with May’s non-farm employment and wages significantly exceeding expectations, the rate cut expectations cooled sharply, U.S. Treasury real yields rose, high-valuation tech stocks faced valuation compression, and the market shifted from a one-sided rise to high-level wide-range volatility.

2. Key Macro Variables: Federal Reserve Rate Expectations (Determine Upside/Downside Space)
1. Expectations shift caused by non-farm payrolls: In May, new employment and hourly wages both exceeded market forecasts, switching market logic: the June and July FOMC meetings completely dispel rate cut possibilities; the full-year rate cut expectation has been compressed from 2–3 cuts to at most 1, with some institutions pricing in no cuts for the year; the 10-year U.S. Treasury yield stabilizes above 4.50%, and rising real yields directly suppress high P/E AI leaders.
2. Three interest rate scenarios corresponding to U.S. stocks’ movements
Most probable baseline scenario: Only one rate cut in the year (September), with U.S. Treasuries oscillating between 4.4%–4.6%, indices digesting at high levels. S&P 500 range: 7450–7650, NASDAQ: 26,500–27,300; AI hardware remains resilient, internet software shows weaker oscillation, value financials and high-dividend defensives outperform.
Bullish hawkish scenario (risk scenario): No rate cuts throughout the year, yields break above 4.6%, NASDAQ deep correction of 8%–12%, S&P 500 retreat of 5%–7%; large-scale capital shift from growth to banks, energy, and essential consumer staples with high yields.
Bearish dovish scenario (low probability): Future inflation rapidly declines
CPI/PCE continues downward, first rate cut in July, yields fall below 4.3%, NASDAQ surpasses 27300 again to reach new highs, AI sector fully restarts a major upward wave.

3. Sector Strengths and Weaknesses Pattern
(Future 1–2 months fixed seesaw)
1. Relative defensive mainline (volatility shelter for funds)
Banks, insurance, finance: high interest rate environment maintains high net interest margins, stable earnings, low valuation, minimal adjustment room;
Energy sector: Middle East geopolitical support keeps oil prices in the 92–97 USD range, cash flow and dividends of oil & gas companies remain robust; essential consumer and utilities
High dividend: defensive attribute, much less volatile than tech, suitable for bottom allocation in volatile markets.
2. High-level oscillation and clear divergence in AI tech (core contradiction of the market)
More resilient: AI hardware (servers, chips, storage, optical communication) companies like Dell, HPE, Micron, ARM, NVIDIA are on order performance realization tracks; even with valuation compression, the decline is limited, and institutions support after big drops;
Weaker oscillation: cloud software, internet platforms (Microsoft, Google, Amazon, Meta) with large prior gains and higher valuation premiums, less elastic during rising interest rates, weaker rebound compared to hardware;
Weak: consumer electronics, traditional semiconductors (Intel, Qualcomm) with flat demand for PCs and phones, losing share to new AI sectors, low investor attention.
3. Weak sectors
Real estate, long-cycle durable consumption, high interest rates suppress credit and housing/car demand, facing medium- to long-term pressure.

4. Key Technical Support and Resistance Levels
S&P 500 resistance: 7630–7650 (historical new high trapped selling zone)
First support: 7520; strong support: 7450 (the life line of this rally, breaking below signals medium-term weakening) NASDAQ resistance: 27200–27300; first support: 26700;
Strong support: 26300 (loss indicates a 10% level correction) Dow Jones resistance: 51400
Support: 50800, 50300 (blue-chip resilience strongest, smallest pullback)

5. Mid-term (3–6 months) Long-term Logic
AI capital expenditure is the profit ballast
Global enterprise computing power procurement and large model deployment continue to expand, tech giants’ revenue growth significantly outpaces traditional industries, long-term funds will not fully withdraw from tech; adjustments are mainly valuation repairs, not fundamental reversals.
Corporate buybacks and dividends support market bottoms
Major stock buyback programs by U.S. giants continue, dividend ratios remain stable, greatly limiting deep declines in indices, making a 20%+ bear market retreat unlikely.
External geopolitical shocks are pulse-like impacts
Middle East and Russia-Ukraine conflicts will only cause daily/weekly volatility, unable to change the main trend driven by earnings and interest rates.

6. Major Potential Risks
(Downside catalysts) Rebound in inflation (oil prices above 100, rising service prices), Fed signals to keep rate hike options open; commercial real estate, small bank credit bad debts expose, triggering localized financial liquidity tensions;
AI Q2 earnings guidance collectively downward, order shortfalls, group funds disintegrate; election policy uncertainties rise, corporate capital expenditure contracts.

7. Cyclical Operation Strategy Reference
Short-term (1–2 weeks): Do not open new positions chasing new highs, reduce positions at resistance levels; buy the dip in AI hardware and banking/energy value stocks in stages; control position size at 60–70%, avoid heavy holdings.
Medium-term (1–3 months): Adopt balanced allocation: 40% AI hardware leaders + 30% financial and energy defensives + 30% cash; increase tech positions if NASDAQ drops below 2630.
Long-term (over half a year): Continue deploying AI computing power across the industry during deep corrections; the foundation of the U.S. long bull remains, AI industry cycle not over.

The above is only a logical market analysis and does not constitute any investment or trading advice. $NAS100 $US50050