The Global X Artificial Intelligence & Technology ETF (AIQ) tracks the Indxx Artificial Intelligence & Big Data Index, offering exposure to companies that benefit from AI development, utilization, and the supporting hardware for big data analysis. It holds approximately 88 stocks, with top positions including SK Hynix (5.8%), Samsung Electronics (4.7%), INTC (4.5%), MU (4.3%), and AMD (4.2%). Sector allocation leans heavily toward information technology (76%), followed by communication services (10%) and consumer discretionary (9%). In my view, this concentration in AI-enabling semiconductors and tech giants has been key to its recent strength, as these areas have outperformed amid surging demand for AI infrastructure.
Over the last 30 days, AIQ climbed +21%, moving from around $49.60 to $59.99 in a steady upward trend with low volatility, reaching new 52-week highs. The advance was trend-driven, picking up speed in late April alongside sector rallies.
For the past quarter, AIQ gained +15%, recovering from a March low near $44 to current levels. Early volatility stemmed from broader market rotations, but it stabilized with consistent gains, outperforming many tech peers.
From what I see, AIQ's 30-day surge came from explosive performance in its semiconductor-heavy portfolio. Holdings like SK Hynix and Micron rallied on high demand for high-bandwidth memory (HBM) chips critical for AI training. INTC and AMD contributed significantly, lifted by reports of Big Tech capex exceeding $700 billion for AI data centers. Broadcom (AVGO) also advanced on AI chip partnerships. I also checked this using Tickeron’s AI Screener to confirm how AIQ stacks up against other tech ETFs.
Tech sector strength, driven by robust earnings and generative AI adoption, further propelled the ETF. Positive fund flows into AI themes pushed AUM past $9 billion, amplifying the move. Market sentiment has favored AI infrastructure over software, which aligns well with AIQ's hardware focus.
The quarterly +strong performance showed resilience amid early volatility. March dips were linked to broader market concerns over interest rates and tech rotations, but the April-May recovery was led by a semiconductor rebound. The cumulative impact from AI hyperscalers' spending commitments outweighed macro headwinds like inflation data.
Major holdings kept the momentum going: memory chip makers like Micron and SK Hynix benefited from supply constraints, while U.S. semis like AMD and Intel gained on innovation cycles. Institutional inflows into thematic ETFs and global AI market growth projections to $434 billion supported the ETF, with its information technology exposure capturing sector cycles effectively.
In my research process, I rely on Tickeron’s AI Screener, an AI-powered tool for discovering stocks and ETFs. It lets me filter the market using technical patterns, fundamentals, trends, volatility, and AI-driven signals—scanning thousands of assets with customizable criteria like industry, market cap, indicators, price patterns, and performance metrics. This helps pinpoint trade ideas, trending names, breakouts, and opportunities far more efficiently than manual methods. One thing that stands out is how it uncovers potential in sectors like AI and technology; I’m watching it closely for ETFs like AIQ.
Investors should keep an eye on semiconductor supply chains and Big Tech capex guidance, as they directly impact top holdings. The sector outlook depends on AI adoption rates in enterprise and consumer applications. Macro factors like interest rates and inflation could affect growth stock valuations. Performance of key names like AMD, MU, and INTC will remain critical. Industry trends in generative AI and data center expansion offer catalysts, while geopolitical risks in chip production present challenges. Tracking fund flows and AUM shifts provides a good gauge of sentiment.
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My name is Jimmy, and I’m a financial analyst focused on identifying compelling opportunities across the ETF market. Each day, I analyze hundreds of ETFs to uncover potential trading and investment opportunities using a broad range of market factors. For short-term trading, I rely heavily on technical analysis, including price channels, momentum indicators, support and resistance levels, trend patterns, and other market signals. At the same time, I dedicate significant attention to evaluating ETFs from a long-term investment perspective. My objective is to build a well-balanced ETF portfolio that combines core investment holdings with more tactical and speculative positions. The goal is to create a portfolio that can participate effectively in market rallies while also remaining resilient during periods of volatility and market corrections.
It is expected that a price bounce should occur soon.
The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 4 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.
Following a +1.24% 3-day Advance, the price is estimated to grow further. Considering data from situations where AIQ advanced for three days, in 316 of 358 cases, the price rose further within the following month. The odds of a continued upward trend are 88%.
AIQ may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Momentum Indicator moved below the 0 level on October 29, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on AIQ as a result. In 65 of 82 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 79%.
The Moving Average Convergence Divergence Histogram (MACD) for AIQ turned negative on October 12, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 47 similar instances when the indicator turned negative. In 37 of the 47 cases the stock turned lower in the days that followed. This puts the odds of success at 79%.
AIQ moved below its 50-day moving average on October 29, 2026 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for AIQ crossed bearishly below the 50-day moving average on October 22, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 14 of 15 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 90%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where AIQ declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 82%.
The Aroon Indicator for AIQ entered a downward trend on November 06, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
a market-cap-weighted index of developed-market equities involved in artificial intelligence & big data.
Category Technology