What top creators are saying about VanEck Semiconductor ETF(SMH)

The ETF was described as down about 33% from its June high amid a severe semiconductor sell-off and concerns about AI infrastructure spending.

The discussion was bearish on semiconductors, saying the chart had started to come undone and could fall further, while warning of volatility and crowded positioning.

Experienced an historically severe selloff, around four standard deviations, potentially amplified by crowded positioning and the sector's cyclicality. Assess earnings, guidance, and customer demand rather than treating the decline alone as either a buying opportunity or proof of deteriorating fundamentals.

SMH fell about 11% in the session; Michael Burry reportedly sold 25% of his put position, a mixed positioning signal that does not establish a market bottom.

Discussed in the context of a sharp semiconductor selloff, elevated volatility, and crowded positioning.

Fell sharply as investors questioned data-center financing and the durability of AI-related growth; weak sentiment means a lower price or attractive valuation alone may not signal a bottom.

The ETF fell about 2.7% amid semiconductor weakness; some buying occurred near the close, but no recommendation was made.

AI-demand fundamentals remain positive, with tight GPU availability and rising rental prices, but semiconductor charts have weakened and the group is vulnerable to higher rates and tighter funding.

SMH turned red amid choppy markets, and falling oil prices were not helping the market.

Semiconductor shares were viewed as vulnerable to further correction; a bounce would not necessarily indicate a trend reversal.

The ETF briefly fell below its 200-day moving average but held around that level; the speaker expected it to hold unless the AI trade underwent a deeper bubble unwind.

No ticker was specified for the mentioned DRAM ETF, so SMH is not that asset.

Rallied as the speaker's composite measure of crude oil and 10-year Treasury yields fell, with recent pressure characterized as positioning-driven rather than evidence of fundamental problems in technology.

Rose during the session even as several semiconductor stocks surrendered gains, illustrating continued sector volatility.

SMH faded from its opening move but was still up about 2%. Its cited historical beta varied by measurement period, indicating sensitivity to broader-market moves without providing a forecast.

The ETF was down 22% from its peak; the speaker characterizes this as a potentially typical correction after strong gains rather than proof that AI demand has ended.

The semiconductor ETF chart was described as showing a possible complacency shoulder that could signal downside. The host also considered whether weakness in semiconductor stocks might affect crypto or prompt capital rotation.

The speaker discussed SMH as a high-beta way to track the semiconductor sector, citing a beta of roughly 2.4 against the S&P 500 over one year of daily data.

After ending an eight-day losing streak, the ETF fell again premarket amid continued volatility in semiconductor stocks.

The ETF was attempting to end an eight-day losing streak, but the discussion did not establish that the sector downturn was over.

A reported round trip—selling 366 shares at $546.08 and buying them back at $568.61—was characterized as a bad fill, highlighting execution risk.

The ETF rose initially and then faded with the market. The host cited high estimated betas, indicating that it can amplify market moves and carry substantial volatility.

Semiconductor-stock volatility was cited as a risk measure to monitor alongside broader market volatility and correlation.

The ETF looked weak and was consolidating near lows; a further breakdown could add to market fear.

The speaker is bullish on the long-term role of semiconductors in AI and cloud investment, while warning that crowded positioning and volatility can cause sharp swings.

SMH was discussed as a sector indicator after an intraday decline of about 4% and a partial recovery. Semiconductor exposure remains vulnerable to changing AI-spending and financing expectations.

Fell 11% in a week; the author says the cause of the sharp reversal remains unclear.

Used as a semiconductor hedge in simulated trading. An unusually wide quote and costly trade illustrated execution risk rather than a directional investment view.

The ETF fell about 4% amid a seventh consecutive red day for the semiconductor index. The discussion highlighted valuation and uncertainty about whether AI-related earnings growth can continue at a pace supporting current prices.

Ended slightly down after recovering from deeper intraday losses; the sector was nearing a sixth consecutive down day, despite longer-term support from AI demand.

Fell another 2% overnight as the AI trade weakened.

Presented as a way to obtain semiconductor-sector exposure similar to a portfolio of multiple semiconductor positions; no directional forecast was given.

Presented as a possible hedge against long semiconductor positions or as a way to bet that selected semiconductor stocks outperform the broader group; described as having approximately 80% correlation with the S&P 500.

Semiconductor stocks have rebounded alongside substantial gains, supported by ongoing AI infrastructure investment, but future spending growth and sustained customer demand remain uncertain.

Described as having about 80% correlation with the S&P 500 and as a possible quick hedge for a concentrated portfolio.

Identified as a way to express broad semiconductor exposure; the discussion cautioned that a portfolio concentrated in semiconductor longs may amount to a sector bet.

Mentioned in brief market commentary, without fund-specific analysis or a recommendation.

Mentioned in connection with broad sector performance; no specific recommendation or price target was provided.

SMH was mentioned as a possible short, but no specific supporting analysis or target was provided.

Mentioned as a way to express a short view on semiconductors; the broader concern was that semiconductor stocks were expensive and exposed to sector-wide risk.

The ETF recovered above $600 alongside strength in memory and AI infrastructure, though substantial short interest and reversal risk were noted.

Faces potential downside risk from cyclical capex slowdowns once initial AI hardware buildouts normalize, making software a preferred alternative.

Constituent names in beaten-up SMH sectors are trading well below June peaks despite bullish updates for AI compute buildout.

Semiconductors are gapping up due to algorithmic sector rotation, though there is questioning around whether the run can continue into June.

Consolidating below its 50-day moving average, though underlying sector earnings growth and anchor names remain fundamentally healthy.

Broad market-cap-weighted indexes continue to outperform traditional venture capital models, offering predictable annualized returns of 10% to 12% with lower fee drag and daily liquidity.

At a local top after massive gains; significant retracement expected due to profit-taking.

Experienced a significant 4% sell-off due to dip-buying fatigue and geopolitical volatility.

Dropped 4% following geopolitical tensions.

Remains in a technical upward trend signaling continued momentum in AI hardware and infrastructure.