AIQ follows the Indxx Artificial Intelligence and Big Data Index, a global market-cap-weighted benchmark focused on companies poised to gain from artificial intelligence and big data analytics. This passively managed thematic ETF covers the entire AI ecosystem, from semiconductors and hardware to software, cloud platforms, and data-driven services. I also checked this using Tickeron’s AI Screener to see how the stock compares to others in the industry.
The portfolio includes more than 80 securities. Recent top holdings feature PLTR (Palantir), SpaceX, MSFT (Microsoft), META (Meta Platforms), ORCL (Oracle), AMD, TSLA (Tesla), TSM (TSMC), NVDA (NVIDIA), and INTC (Intel). Information technology makes up about 73% of assets, with communication services near 13%, consumer discretionary around 8%, and industrials roughly 5%. The United States dominates geographic exposure, followed by South Korea, Taiwan, China, and Germany. The expense ratio stands at 0.68%.
The artificial intelligence space has developed into a broad, multi-year theme that includes semiconductor production, memory technology, cloud infrastructure, and application software. Hyperscale cloud providers continue to increase capital spending on AI accelerators and data centers, while software firms monetize AI features through subscriptions and automation. From what I see, this environment favors diversified holdings across the value chain rather than heavy concentration in a few names.
Higher interest rates continue to pressure growth-oriented valuations. Regulatory attention on AI, competition in chips, and questions around sustained monetization add periodic caution. This setup has encouraged rotation toward balanced exposure in hardware, software, and platforms.
AIQ has moved within a relatively narrow range lately. Over the past 30 days the fund fell about 5.6%, while the trailing quarter showed a gain of roughly 5.0%. This reflects consolidation following earlier advances, with volatility tied to semiconductor pricing, mixed results from large technology platforms, and shifting views on AI infrastructure spending.
The fund’s broad diversification across more than 80 holdings produces more measured daily moves compared with narrower AI vehicles. Semiconductor and memory names such as Micron, SK Hynix, and Samsung have driven swings due to their cyclical pricing, while software and platform positions offer some offset. One thing that stands out is how this structure moderates single-stock risk while still capturing the wider theme.
Enterprise AI adoption and data-center expansion will likely remain central drivers for AIQ through the rest of 2026, shaping demand for chips, memory, and cloud services. Interest rate expectations matter given the fund’s growth tilt; easing could support valuations, while tighter policy would present challenges. Earnings from semiconductor and software leaders, memory pricing trends, and chipmaker competition will influence sentiment, along with regulatory and policy developments. Capital flows into thematic ETFs can also amplify short-term moves. AIQ’s diversified approach positions it to participate in the broader opportunity while limiting single-name exposure, though it remains tied to the same macroeconomic and valuation dynamics affecting technology overall.
In my analysis of thematic ETFs like AIQ, I often turn to Tickeron’s AI-powered platforms to scan for complementary ideas across sectors. The AI Screener stands out for its ability to combine technical indicators, fundamentals, volatility data, and pattern recognition into focused watchlists. This helps surface potential breakout candidates or trending names that align with an investor’s strategy without relying solely on manual review. For those researching AIQ alongside other opportunities, it serves as a practical complement to traditional due diligence.
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Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
AIQ may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options. In 40 of 43 cases where AIQ's price broke its lower Bollinger Band, its price rose further in the following month. The odds of a continued upward trend are 90%.
The RSI Oscillator points to a transition from a downward trend to an upward trend -- in cases where AIQ's RSI Oscillator exited the oversold zone, 20 of 23 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 87%.
The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.
Following a +1.65% 3-day Advance, the price is estimated to grow further. Considering data from situations where AIQ advanced for three days, in 313 of 354 cases, the price rose further within the following month. The odds of a continued upward trend are 88%.
The Aroon Indicator entered an Uptrend today. In 289 of 316 cases where AIQ Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 90%.
The Momentum Indicator moved below the 0 level on October 14, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on AIQ as a result. In 68 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 83%.
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 41 of the 47 cases the stock turned lower in the days that followed. This puts the odds of success at 87%.
AIQ moved below its 50-day moving average on October 14, 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 9 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 60%.
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 81%.
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