The investment seeks to track the investment results of the MSCI USA Choice ESG Screened Index (the “underlying index”)... Show more
The iShares ESG Advanced MSCI USA ETF tracks the MSCI USA Choice ESG Screened Index, a free-float, market-capitalization-weighted benchmark of large- and mid-cap U.S. companies with favorable environmental, social, and governance (ESG) ratings. The index applies extensive screens — including the removal of fossil-fuel exposure and involvement in controversial activities — meaning the fund deliberately excludes an entire segment of the U.S. equity market. With a net expense ratio of just 0.10%, it is among the lowest-cost ways to access ESG-screened U.S. large-cap growth.
The resulting portfolio exposure is heavily skewed toward technology, which accounts for roughly 53% of assets. Financial services (about 15%), industrials (about 9%), and consumer discretionary (about 7%) round out the major sector allocations, while energy is effectively absent. Geographic exposure is overwhelmingly domestic, with the United States representing more than 90% of holdings.
Top positions underscore the growth tilt. NVDA is the largest holding, with AVGO, MU, and AMD also among the leading weights, alongside payments names V and MA. Because the fund is classified as non-diversified and holds roughly 290 to 300 securities, its future performance potential is disproportionately tied to the fortunes of its largest AI-adjacent semiconductor holdings rather than the broader economy.
Several developments could shape the ETF's trajectory in the months ahead. The most consequential is the pace of artificial intelligence infrastructure spending. As hyperscale cloud providers and enterprises commit capital to data centers and accelerated computing, demand for the semiconductors that dominate this portfolio — graphics processing units, networking chips, and memory — remains a pivotal variable.
Federal Reserve policy and the inflation path represent the second major catalyst. The fund's elevated price-to-earnings multiple and long-duration growth profile make it more sensitive to interest-rate expectations than a value-oriented or dividend-focused fund. A higher-for-longer rate environment tends to pressure the valuation of growth stocks, while a sustained easing cycle would likely be constructive for this exposure.
Semiconductor earnings and guidance from the fund's largest holdings are recurring catalysts that can move the entire portfolio. Company-specific factors — memory pricing cycles for MU, custom silicon demand for AVGO, and the broader AI supply chain — have outsized influence given the concentration at the top of the index.
Index rebalancing and ESG methodology changes are quieter but meaningful catalysts. Adjustments to the MSCI screening rules or constituent weights can alter the fund's sector and single-stock exposure without any action by the manager. Finally, fund flows into sustainable strategies remain a structural catalyst; sustained inflows support the ecosystem, while prolonged outflows could reflect shifting investor appetite for ESG-screened products.
The macro outlook for this ETF is inseparable from the outlook for U.S. large-cap technology and the broader equity growth cycle. The technology sector outlook continues to be defined by AI adoption, cloud migration, and cybersecurity demand — all secular themes well represented in the portfolio. However, sector leadership has historically been cyclical, and any rotation toward value, defensive, or dividend-paying equities could create relative headwinds for a growth-concentrated fund.
Interest rates and inflation remain the central macro forces. Elevated real yields increase the discount rate applied to future earnings, which weighs most heavily on high-multiple growth stocks. Conversely, disinflation paired with measured rate cuts would likely support the fund's equity duration. Economic growth expectations also matter: the fund's exposure to financial services and consumer discretionary means it retains some cyclicality, but the dominant technology weighting makes it more sensitive to innovation-driven earnings than to broad GDP (gross domestic product) momentum.
From a market trends perspective, the fund's correlation to the S&P 500 is high, yet its exclusion of energy and its overweight to semiconductors mean it can diverge meaningfully in either direction. Investors evaluating this ETF forecast should weigh whether mega-cap technology leadership persists against the risk of profit-taking and valuation normalization in the AI complex.
Tickeron's Trend Prediction Engine is an AI-powered forecasting tool designed to help traders assess whether a stock, ETF, or other tradable asset may trend bullish, bearish, or sideways over the coming week or month. The engine is built to surface developing trends, highlight potential breakouts or reversals, and let users explore predictions across a broad universe of instruments. It organizes forecasts into searchable categories, offers historical context, and supports alert-oriented functionality for tracking signals over time. For investors seeking an additional layer of quantitative context around the future outlook of funds like this one, the Trend Prediction Engine offers a practical starting point.
Over a multi-year horizon, the fund's structural positioning is tied to several durable investment themes. The first is technology adoption and AI integration, which continues to drive demand for advanced semiconductors, software, and cloud infrastructure — the core of this portfolio. The second is the long-term growth of digital payments and financial technology, represented by the fund's sizable Visa and Mastercard positions, which benefit from the gradual global shift away from cash.
Demographic and regulatory trends also play a role. The sustained preference among institutional and younger retail investors for ESG-aligned strategies could support demand for low-cost, screened products over time, even as the ESG category itself matures and consolidates. Meanwhile, the fund's exclusion of fossil fuels positions it differently from a broad-market index, creating both a structural opportunity and a structural risk depending on how energy markets and climate policy evolve.
Interest rate cycles will remain a recurring influence. Because the fund is a non-diversified, growth-heavy vehicle, its long-term path will likely track the intersection of two forces: the trajectory of AI-driven corporate earnings and the broader interest-rate environment. Neither is predictable with certainty, which is why a disciplined, research-driven approach to monitoring this ETF forecast — rather than relying on any single price target — remains the most prudent framework.
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.
A.I.dvisor indicates that over the last year, USXF has been closely correlated with SPYG. These tickers have moved in lockstep 97% of the time. This A.I.-generated data suggests there is a high statistical probability that if USXF jumps, then SPYG could also see price increases.
| Ticker / NAME | Correlation To USXF | 1D Price Change % | ||
|---|---|---|---|---|
| USXF | 100% | -0.47% | ||
| SPYG - USXF | 97% Closely correlated | -0.83% | ||
| QQQM - USXF | 95% Closely correlated | -0.59% | ||
| QQQ - USXF | 94% Closely correlated | -0.68% | ||
| SCHG - USXF | 94% Closely correlated | -0.67% | ||
| VONG - USXF | 92% Closely correlated | -0.79% | ||
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The RSI Indicator for USXF moved out of oversold territory on November 09, 2026. This could be a sign that the stock is shifting from a downward trend to an upward trend. Traders may want to buy the stock or call options. The A.I.dvisor looked at 20 similar instances when the indicator left oversold territory. In 20 of the 20 cases the stock moved higher. This puts the odds of a move higher at 90%.
The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 5 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 +4.02% 3-day Advance, the price is estimated to grow further. Considering data from situations where USXF advanced for three days, in 302 of 354 cases, the price rose further within the following month. The odds of a continued upward trend are 85%.
USXF 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 30, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on USXF as a result. In 69 of 83 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 USXF turned negative on October 30, 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 53 similar instances when the indicator turned negative. In 41 of the 53 cases the stock turned lower in the days that followed. This puts the odds of success at 77%.
USXF 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 USXF crossed bearishly below the 50-day moving average on October 19, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 15 of 16 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 USXF 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 78%.
The Aroon Indicator for USXF entered a downward trend on November 10, 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.