The VanEck Semiconductor ETF (SMH) fell 7.0% on October 30, its worst day in months, after a week of earnings and guidance that cracked the AI trade. The fund closed at $522.49, down 17.6% from its October 5 peak, and the weekly trend has now turned down. The balance of evidence for the next 2–6 weeks is negative, with medium conviction, as the fund lags the S&P 500 and sits below key averages. A daily close below $519.50 would confirm the downside breakout, with targets near $420 and $403.
Why it matters
The trigger was a brutal Thursday, October 30, when semiconductor and AI-linked stocks sold off broadly. The VanEck Semiconductor ETF (SMH) fell 7% in a single session, with Qualcomm down 11% and Lumentum down more than 10% amid renewed concern over the AI trade, as CNBC reported. Intel plunged 29% after guiding fourth-quarter adjusted EPS to 25 cents on revenue that missed expectations, a stark reminder that even the largest chip names are not immune to demand shifts. The move was not isolated: the Nasdaq fell 5.3% in October, and the S&P 500 lost nearly 2% for the week, as CNBC noted, with disappointing earnings from Microsoft, Alphabet, and Amazon shifting investor focus toward financial discipline and returns on AI investment.
What was already priced in? The fund had been drifting lower for weeks, but the October 30 drop accelerated the decline. Over the past five days, SMH fell 0.89%, while the S&P 500 (SPY) fell 0.56% — so the fund's underperformance is not just a market-wide move; it is sector-specific. Over the past 50 days, SMH lags SPY by 7.3 percentage points, and over 200 days by 2.5 points, confirming that the weakness is structural, not just a bad week. The fund's 1-month return is -14.2%, versus SPY's -0.9%, a stark divergence that underscores the AI trade's unraveling.
The debate is not about whether AI demand is real — it is about whether it is sustainable at current valuations. On one side, Bloomberg Business reported that Air Liquide's electronics segment, which supplies semiconductor materials, saw revenue rise 12% on sustained AI-related demand, suggesting the underlying build-out continues. On the other, The Wall Street Journal asks whether AI companies are running out of money to borrow, a question that strikes at the heart of the capex cycle. The market is now pricing in a slowdown in AI spending growth, and the earnings misses from mega-cap tech have only reinforced that fear.
There is also M&A chatter that could reshape the sector: Bloomberg Business reported that Marvell Technology is pursuing a potential acquisition of Lumentum valued at over $80 billion, a deal that would consolidate critical AI infrastructure technology. Such a deal could be positive for the sector if it signals confidence, but it also highlights the scramble for scale, which can lead to overpayment and dilution. The market's reaction to the news was muted, as the broader sell-off overwhelmed any M&A optimism.
What the evidence says
The long-term thesis is weakened, not broken. The fund is now below its 40-week average, and the weekly trend is down, a change from the previous report of October 28, which had the long-term trend up. The 50-day average at $572.62 is well above price, and the 200-day average at $519.50 is just below — a sign that the medium-term momentum has flipped. The fund is in a correction phase, down 21.9% from its 52-week high, but still 60.7% above its 52-week low, so the structural uptrend from the 2025 lows is intact, but the near-term path is lower.
For the next 2–6 weeks, the balance of evidence leans negative, with medium conviction. The daily trend runs with the weekly downtrend, and the fund lags the S&P 500 by 7.3% over 50 days. The RSI at 32.45 is oversold, which could lead to a bounce, but oversold conditions can persist in a downtrend. The strongest case against the bearish reading is that the fund is oversold and could see a technical rebound, especially if the 200-day average at $519.50 holds as support. However, the trend is aligned against that, and the recent price action shows sellers are in control. The conviction is medium, not high, because the oversold condition and the possibility of a bounce temper the downside, but the evidence does not tip the balance to positive.
Levels that matter
The structure holds below $538.84, a swing zone where sellers have shown up on rallies. A daily close below $519.50 (the 200-day average) would confirm a downside breakout, with a stop at $544.09 (based on the swing zone plus a quarter of ATR). From there, the math gives targets at $420.32 and $403.45, with reward-to-risk ratios of 4.0 and 4.7, respectively — well above the 3-to-1 threshold that makes a trade worth the risk. The trend would end only on a weekly close above $572.62, the 50-day average, which is a long way off.
On the upside, resistance is at $538.84, then $550, then $572.62. On the downside, support is at $519.50, then $500, then $450. The map is clear: the fund is in a downtrend, and the first sign of strength would be a close back above $538.84, but that is not the current evidence.
What would change the picture
The picture would change on a weekly close above $572.62, the 50-day average. That would signal that buyers have regained control and the downtrend is over. The one non-price fact that could do it is a shift in the AI capex narrative — for example, if major cloud providers announce increased spending plans, or if a major M&A deal like the Marvell-Lumentum combination is completed and viewed positively. Until then, the evidence points lower.
What to watch
- Earnings from remaining semiconductor names, especially those with AI exposure, as any miss could accelerate the sell-off.
- Macro releases and the U.S. midterm elections on November 3, 2026, which could affect tech regulation and data center policy, as CNBC notes.
- Flows into SMH: any large redemptions could amplify moves, though no specific flow data is available.
- The S&P 500's level: if SPY breaks below its own key support, it could drag SMH lower even if sector-specific news is neutral.