SPUS ETF: Shariah-Compliant Exposure to Tech Giants and the AI Cycle

Key Takeaways

• Concentrated technology exposure: Roughly 60% of the fund sits in information technology, making the artificial intelligence (AI) capital-expenditure cycle the single largest swing factor for its future trajectory.
• Macro sensitivity: The ETF forecast hinges on Federal Reserve policy, inflation, and Treasury yields, which shape valuations for the growth-oriented mega-cap stocks that dominate the portfolio.
• Structural exclusions: Sharia screens remove financials, aerospace & defense, and certain data-processing names, redistributing weight toward technology and healthcare and amplifying single-sector risk.
• Fund-flow momentum: Sustained inflows, including more than $1 billion in net flows over the trailing year, signal durable investor demand that could reinforce the fund's asset base and liquidity.
• Upcoming catalysts: Earnings reports from major holdings, AI infrastructure buildout, index rebalancing, and potential rate cuts are the key events that could move the fund.

Portfolio Breakdown and Investment Approach

SPUS seeks to track the S&P 500 Shariah Industry Exclusions Index, a market-capitalization-weighted benchmark drawn from S&P 500 constituents that pass Sharia-compliant screening. The methodology excludes businesses involved in prohibited activities such as alcohol, gambling, and conventional interest-based finance, and further removes the Aerospace & Defense, Financial Exchanges & Data, and Data Processing & Outsourced Services sub-industries. The fund, which launched in December 2019, carries an expense ratio of 0.45% and holds more than 200 large-cap U.S. stocks with assets under management (AUM) of roughly $3.3 billion.

Because financials are screened out, the portfolio leans heavily into information technology, which represents about 60% of assets, followed by healthcare and consumer discretionary. Top holdings include NVDA (NVIDIA), AAPL (Apple), MSFT (Microsoft), GOOGL (Alphabet), AVGO (Broadcom), MU (Micron Technology), TSLA (Tesla), LLY (Eli Lilly), AMD (Advanced Micro Devices), and XOM (Exxon Mobil). Geographic exposure is overwhelmingly domestic, with well over 95% of assets in the United States. I also checked this using Tickeron’s AI Screener to see how the stock compares to others in the industry.

This portfolio exposure is a double-edged sword for future performance potential. On one hand, it concentrates the fund in some of the market's most profitable, high-margin franchises. On the other, it ties the ETF's trajectory closely to a narrow set of mega-cap technology names, leaving the fund more sensitive to sector rotation, valuation compression, and any slowdown in AI-related demand than a broad S&P 500 fund.

Key Catalysts to Watch

• Monetary policy and interest rates: Prospective Federal Reserve rate cuts could lower discount rates and support growth-stock valuations, while a hawkish surprise could pressure the fund's rate-sensitive mega-caps.
• AI infrastructure spending: Capital expenditure guidance from cloud providers and semiconductor leaders directly affects holdings such as NVIDIA, Broadcom, and Micron, which together carry meaningful weight.
• Earnings outlook for top holdings: Quarterly results and forward guidance from Apple, Microsoft, Alphabet, and NVIDIA remain pivotal, given their combined weighting and influence on the index.
• Inflation and Treasury yields: Persistent inflation that keeps long-term yields elevated tends to compress the multiples of long-duration growth equities, a key risk channel for the fund.
• Index rebalancing and screening: Changes to Sharia-compliance criteria or periodic rebalancing could shift constituent weights and sector mix, altering the fund's risk profile.
• Fund flows: Continued inflows, which exceeded $1 billion over the past year, could deepen liquidity and support the ETF's structural growth, whereas sustained outflows could amplify volatility.

Macro and Sector Perspectives

The macro outlook remains central to the fund's future trajectory. A moderating inflation environment paired with gradual rate cuts would generally support the large-cap growth bias embedded in the portfolio, while sticky inflation or renewed yield pressure would represent a headwind. The technology sector outlook is closely tied to enterprise and hyperscaler AI budgets; as long as cloud and semiconductor investment remains robust, the fund's heaviest allocations stand to benefit, though any digestion phase in AI spending could weigh disproportionately on the portfolio. From what I see, this is important because the fund's concentration amplifies both upside and downside moves.

Broader equity market trends also matter. Concentration in a handful of mega-cap leaders has driven much of the S&P 500's recent gains, a dynamic SPUS amplifies because of its exclusions. Healthcare, the fund's second-largest sector, offers a counterweight through innovation in obesity treatments and medical devices, while smaller allocations to energy and industrials provide cyclical diversification. Currency movements carry limited direct impact given the portfolio's near-total U.S. exposure, but a stronger dollar can pressure the foreign earnings of large multinational holdings.

Long-Term Considerations

Over a longer horizon, several structural themes are likely to shape the fund. The sustained buildout of AI infrastructure, cloud computing, and semiconductor innovation supports the earnings power of the fund's core technology names, while demographic shifts and medical innovation underpin long-term demand across its healthcare allocation. The gradual electrification of the economy and rising power demand also favor a portion of the industrial and utility-linked holdings.

At the same time, the fund's structural concentration introduces meaningful risk. A prolonged market leadership change away from mega-cap technology, a sharp rise in long-term interest rates, or regulatory actions targeting large platforms could all weigh on returns relative to a more diversified benchmark. The expanding base of Sharia-compliant investing and faith-based demand represents a long-term tailwind for fund flows, though the fund's non-diversified structure means investors should weigh concentration risk against the strategy's ethical and growth-oriented profile.

Leveraging AI Tools in My Research

In my analysis of funds like SPUS, I have found the Trend Prediction Engine particularly helpful for identifying potential short-term directional moves. It offers AI-driven forecasts on whether an ETF may trend bullish, bearish, or sideways, along with historical context that complements fundamental work. This has become a regular part of how I cross-check macro and sector views before adjusting positions.

Disclaimer

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.

Disclaimers and Limitations

Contributor

Sergey Savastiouk|Expert

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.

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