The investment seeks investment results that correspond generally to the price and yield of an equity index called the ISE CTA Cloud Computing Index TM... Show more
The First Trust Cloud Computing ETF (SKYY) is a passively managed thematic fund that seeks to track the ISE CTA Cloud Computing Index. Launched in July 2011 and issued by First Trust, the ETF invests at least 90% of its net assets in common stocks and depositary receipts of companies directly involved in the cloud computing industry. The portfolio follows a modified equal-weight methodology with individual positions capped at 4.5%, which differentiates it from market-cap-weighted technology funds by limiting single-stock concentration risk.
As a mid-growth category fund, SKYY holds approximately 64 securities spanning the cloud ecosystem—from infrastructure providers and platform operators to software vendors. Technology is the dominant sector at roughly 88% of assets, followed by communication services at approximately 8% and consumer cyclical at about 3.5%. Top holdings include Arista Networks (ANET), Nutanix (NTNX), International Business Machines (IBM), Alphabet (GOOGL), Amazon.com (AMZN), MongoDB (MDB), Microsoft (MSFT), DigitalOcean (DOCN), and Cloudflare (NET). The fund carries a net expense ratio of 0.60% and manages approximately $2.7 billion in total assets under management (AUM), which represents the total market value of assets the fund oversees.
The cloud computing industry is experiencing a historic investment cycle. Global public cloud services spending is forecast to surpass $1 trillion in 2026, expanding at over 21% year-over-year, according to industry data. Platform-as-a-Service (PaaS)—a cloud model that provides a framework for developers to build applications—leads growth at approximately 37% annually, fueled by demand for AI platforms, cloud-native development environments, and real-time data analytics infrastructure.
Hyperscale providers are the primary engines of this expansion. AWS, Microsoft Azure, and Google Cloud collectively reported strong double-digit revenue growth in recent quarters, with AI workloads increasingly driving demand across CPUs, storage, networking, and GPU-accelerated computing. A recent CIO survey indicated that 95% of large enterprises expect cloud budgets to increase in 2026, with 43% forecasting double-digit growth. Enterprise workload migration to the cloud continues accelerating, with 85% of surveyed organizations expecting over half of their workloads to reside in the cloud by late 2027.
At the same time, cloud cost optimization through FinOps—a discipline that brings financial accountability to cloud spending—remains a board-level priority, and data sovereignty regulations in Europe and Asia-Pacific are reshaping infrastructure deployment patterns. The competitive landscape is also evolving as providers shift from selling raw compute capacity toward integrated AI agent platforms, application-layer tools, and industry-specific cloud solutions.
SKYY has experienced a notable trajectory over recent months. From early April through early June, the ETF rallied from approximately $104 to a peak near $155, reflecting broad enthusiasm for AI-driven cloud demand and strong quarterly earnings from several major holdings. Since that peak, SKYY has undergone a correction and consolidation, trading in a range roughly between $126 and $142 as investors reassess valuations across the software and IT services segments.
This pullback coincided with a broader technology sector rotation, as markets digested the implications of sustained higher-for-longer interest rates on growth-oriented equities. Several top holdings, including MongoDB and DigitalOcean, experienced outsized volatility during this period. Meanwhile, IBM and Oracle (ORCL) provided relative stability, benefiting from their hybrid-cloud and enterprise software franchises. The fund's modified equal-weight structure has helped mitigate single-stock drawdown risk, as no individual position dominates performance. Over the most recent quarter, SKYY posted a gain of approximately 10.8%, reflecting the earlier rally before the subsequent consolidation took hold.
Institutional flows into cloud-focused ETFs have remained constructive, though daily trading volumes in SKYY have moderated from elevated levels seen during the early-June rally. The fund's portfolio turnover of approximately 30% indicates a moderately active rebalancing approach consistent with its equal-weight methodology.
Investors seeking to identify cloud computing stocks with strong momentum, favorable technical patterns, or AI-generated bullish signals can leverage Tickeron's AI Screener. This AI-powered discovery platform scans thousands of stocks and ETFs using a broad set of criteria including technical indicators, fundamental metrics, volatility measures, price patterns, and proprietary AI-generated signals. Users can filter securities by industry, market capitalization, performance characteristics, and specific trading patterns to surface opportunities that match their investment approach. The screener helps reduce the time required for manual research by surfacing actionable candidates across sectors, including the cloud computing and enterprise software industries represented within SKYY. For investors monitoring the evolving technology landscape, the AI Screener offers a structured way to stay ahead of emerging trends.
Several structural forces are likely to shape SKYY's trajectory through the remainder of 2026. Hyperscale capex commitments remain the most significant tailwind. AWS has guided toward approximately $200 billion in capital expenditure for the year, Microsoft continues expanding Azure's global infrastructure footprint, and Google has raised its capex guidance to between $175 billion and $185 billion. This spending directly benefits portfolio companies supplying networking equipment, data center hardware, cloud software platforms, and IT services.
Interest rate policy remains a critical variable. Cloud and software stocks, which frequently trade at elevated price-to-earnings multiples, are sensitive to changes in the discount rate applied to future cash flows. Any shift in Federal Reserve posture—whether toward tighter policy to address persistent inflation or toward accommodation—could materially affect sector valuations. Inflation trends and economic growth data will therefore remain closely watched.
The monetization of generative AI represents both an opportunity and an uncertainty. While AI infrastructure demand is clearly surging, the translation into sustainable revenue growth varies considerably across the cloud ecosystem. Companies with established enterprise platforms and integrated AI capabilities may be better positioned than pure-play infrastructure providers facing intensifying competition. Regulatory developments around AI governance, data privacy, and antitrust enforcement could also introduce complexity, particularly for the largest platform companies within the portfolio. Investors should monitor quarterly earnings from top holdings for signals on enterprise spending patterns, cloud migration velocity, and AI-related revenue momentum.
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.
The 10-day moving average for SKYY crossed bullishly above the 50-day moving average on July 09, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In of 19 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 .
The Moving Average Convergence Divergence (MACD) for SKYY just turned positive on July 07, 2026. Looking at past instances where SKYY's MACD turned positive, the stock continued to rise in of 47 cases over the following month. The odds of a continued upward trend are .
SKYY moved above its 50-day moving average on July 06, 2026 date and that indicates a change from a downward trend to an upward trend.
The 10-day RSI Indicator for SKYY moved out of overbought territory on July 10, 2026. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 45 similar instances where the indicator moved out of overbought territory. In of the 45 cases, the stock moved lower in the following days. This puts the odds of a move lower at .
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In of 61 cases where SKYY's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are .
The Momentum Indicator moved below the 0 level on July 23, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SKYY as a result. In of 85 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SKYY declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
SKYY broke above its upper Bollinger Band on July 09, 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 Aroon Indicator for SKYY entered a downward trend on July 14, 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
Category Technology