The iShares Semiconductor ETF (SOXX) tracks the NYSE Semiconductor Index, a modified market-cap-weighted benchmark of 30 U.S.-listed semiconductor companies. In my view, this ETF offers a focused way to gain exposure to the semiconductor sector, particularly firms involved in chip design, manufacturing, and equipment. With around 30 holdings, SOXX allocates 100% to technology—about 76% to semiconductors and 24% to semiconductor equipment.
One thing that stands out is the concentration in top holdings: NVDA at 8.4%, AVGO at 8.3%, and MU at 7.0%, with the top 10 making up over 57% of assets. This structure makes SOXX particularly sensitive to artificial intelligence trends, data center growth, and memory demand, which directly ties into the recent price movements I've been tracking.
Looking at the last 30 days, SOXX climbed from around $331 at the mid-March close to $395, delivering a +19% gain. The path was volatile, though—a dip to $310 by late March amid broader market pressures, followed by a steady uptrend that accelerated in early April to new highs near $399.
Over the past quarter, the ETF posted a similar +19% rise, moving from about $332 in mid-January to current levels. Performance built gradually through February, stabilized in early March, and then surged in April, outperforming broader markets thanks to sector-specific tailwinds.
From what I see, the 30-day rally was primarily fueled by surging AI demand, pushing semiconductor stocks to records. Top holdings like NVDA and AVGO benefited from hyperscaler investments in data centers, with AI chip revenues accelerating. MU also gained traction from high-bandwidth memory (HBM) shortages essential for AI training, which drove memory prices higher.
Sector sentiment turned positive after earnings reports highlighted strong demand for AI accelerators and networking. The PHLX Semiconductor Index (^SOX), which SOXX closely mirrors, saw sharp gains in early April. Fund flows added support, with AUM growing as investors rotated into tech amid economic resilience. I also checked this using Tickeron’s AI Screener to compare SOXX against other industry ETFs.
The quarter's +19% advance reflected broader AI infrastructure expansion, as cloud providers committed billions to chip-intensive data centers. Holdings like AMD and AMAT contributed through inference GPUs and equipment for advanced nodes. Macro factors, such as easing supply constraints and projected $975 billion global chip sales in 2026, provided a solid foundation.
Early dips from market rotations gave way to recovery driven by AI momentum, with institutional flows lifting AUM. Cumulative effects from memory recovery and custom AI accelerators from leaders like Broadcom sustained the outperformance relative to broader indices.
In my research process, I rely on Tickeron’s AI Screener, an AI-powered tool for discovering stocks and ETFs. It lets me filter thousands of assets using customizable criteria like technical patterns, fundamentals, trends, volatility, and AI-driven signals—such as industry, market cap, indicators, price patterns, and performance metrics. This helps pinpoint trade ideas, trending names, breakouts, and opportunities in fast-moving sectors like semiconductors far more efficiently than manual methods. I'm watching it closely for my next ETF deep dive.
Looking ahead, investors should keep an eye on AI capital expenditures from hyperscalers, as ongoing data center buildouts could keep the sector strong. Earnings from top holdings like NVDA and MU will provide updates on chip demand and HBM supply. Semiconductor equipment orders from companies like AMAT could signal capacity expansions. Broader macro trends—interest rates, global growth, and geopolitical risks in supply chains—remain critical, along with industry cycles in memory and logic chips, plus fund flows into tech ETFs, which will shape volatility.
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SOXX's Aroon Indicator triggered a bullish signal on May 11, 2026. Tickeron's A.I.dvisor detected that the AroonUp green line is above 70 while the AroonDown red line is below 30. When the up indicator moves above 70 and the down indicator remains below 30, it is a sign that the stock could be setting up for a bullish move. Traders may want to buy the stock or look to buy calls options. A.I.dvisor looked at 308 similar instances where the Aroon Indicator showed a similar pattern. In of the 308 cases, the stock moved higher in the days that followed. This puts the odds of a move higher at .
The Momentum Indicator moved above the 0 level on April 06, 2026. You may want to consider a long position or call options on SOXX as a result. In of 84 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are .
SOXX moved above its 50-day moving average on April 06, 2026 date and that indicates a change from a downward trend to an upward trend.
The 10-day moving average for SOXX crossed bullishly above the 50-day moving average on April 10, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In of 14 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are .
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SOXX advanced for three days, in of 347 cases, the price rose further within the following month. The odds of a continued upward trend are .
The RSI Indicator demonstrates that the ticker has stayed in the overbought zone for 8 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SOXX declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
SOXX broke above its upper Bollinger Band on May 08, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category Technology