AIBU is a leveraged ETF that aims for daily results, before fees and expenses, equal to 200% of the Solactive US AI & Big Data Index. The underlying index focuses on U.S.-listed companies involved in artificial intelligence and big data, with weights reflecting each firm’s relevance to those themes.
The fund is non-diversified and typically holds around 40 positions. It obtains its leveraged exposure mainly through swaps and derivatives rather than holding every underlying stock directly. Its net expense ratio stands at 0.96%. Among the largest holdings are NVIDIA, Apple (AAPL), Microsoft (MSFT), Amazon (AMZN), Meta Platforms (META), Alphabet (GOOGL), AMD, Broadcom, Taiwan Semiconductor, and Intel (INTC).
Sector weights tilt heavily toward information technology, which represents about 62% to 65% of the portfolio, followed by communication services and consumer discretionary. This focused, high-beta makeup helps explain the fund’s sharper moves compared with broader market indexes.
Over the past 30 days, AIBU fell roughly 19%, moving from a close near $68.24 down to about $55.20. The path was uneven: the fund reached a multi-month peak near $76 in early October before reversing sharply into November, a pattern typical of a strong advance that later encountered volatility.
Across the most recent quarter, the fund declined about 20%, slipping from roughly $69.19 to current levels. In both periods, the 2x daily reset amplified the downside, as leveraged ETFs compound daily returns and often lag their target multiple during extended or choppy declines.
The drop largely stems from a re-rating of the AI and semiconductor group, magnified by AIBU’s leverage. Several issues weighed on the largest holdings at once. Questions grew about the pace and returns of AI infrastructure spending, highlighted by cautious comments from Intel and doubts over capital-expenditure returns at Amazon. I also checked this using Tickeron’s AI Screener to see how the stock compares to others in the industry.
The pressure increased after the U.S. midterm elections delivered a Democratic sweep of Congress, raising the possibility of tighter rules on data centers and AI infrastructure. Semiconductor shares felt the impact most: the Philadelphia Semiconductor Index posted its largest single-day drop since March 2020, with NVIDIA, AMD, Broadcom, and Taiwan Semiconductor among the notable laggards. NVIDIA’s sudden chief executive transition added further company-specific volatility.
Over the full quarter, AIBU’s decline mirrors a wider shift away from the AI theme that supported markets earlier in the year. After solid gains into early autumn, investors started reassessing valuations in high-multiple technology and semiconductor names, focusing on the durability of data-center spending, financing conditions, and regulatory risks. Because AIBU concentrates its leverage in a small group of mega-cap and chip stocks, sector-level weakness flows straight through to fund results. The quarterly outcome shows how leveraged thematic vehicles can surrender gains rapidly once sentiment toward their core theme changes.
Looking ahead, the main variables for AIBU remain the path of AI infrastructure spending, the regulatory climate for data centers, and earnings or guidance updates from its largest semiconductor and mega-cap positions. Interest-rate expectations and inflation trends also matter, given how valuation-sensitive technology names respond to shifts in financing conditions. Flows into thematic and leveraged ETFs will influence near-term price action as well. Any stabilization in chipmaker leadership or fresh signs of sustained AI demand could provide support, while additional regulatory tightening, softer data-center capex, or further disruption at top holdings could keep volatility elevated. Given the fund’s 2x daily leverage and concentrated exposure, these themes warrant close attention rather than assumptions of a simple long-term hold.
One tool I’ve found useful when examining fast-moving areas like AI and big data is Tickeron’s AI Screener. It combines technical indicators, fundamentals, volatility measures, price patterns, and AI-generated signals into a single platform, allowing quicker identification of candidates that match specific criteria. I turn to it periodically to compare holdings or surface related ideas without manually sifting through dozens of screens.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
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.
AIBU saw its Momentum Indicator move below the 0 level on October 14, 2026. This is an indication that the stock could be shifting in to a new downward move. Traders may want to consider selling the stock or exploring put options. Tickeron's A.I.dvisor looked at 34 similar instances where the indicator turned negative. In 31 of the 34 cases, the stock moved further down in the following days. The odds of a decline are at 90%.
The Moving Average Convergence Divergence Histogram (MACD) for AIBU turned negative on October 13, 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 28 similar instances when the indicator turned negative. In 24 of the 28 cases the stock turned lower in the days that followed. This puts the odds of success at 86%.
AIBU 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 AIBU crossed bearishly below the 50-day moving average on October 23, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 5 of 5 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 AIBU 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 86%.
The Aroon Indicator for AIBU entered a downward trend on November 13, 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 RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where AIBU's RSI Oscillator exited the oversold zone, 12 of 12 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 90%.
The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 27 of 27 cases where AIBU's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 90%.
Following a +10.61% 3-day Advance, the price is estimated to grow further. Considering data from situations where AIBU advanced for three days, in 173 of 188 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
AIBU may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows