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SPUS SP Funds S&P 500 Sharia Industry Exclusions ETF (SPUS) Forecast, Technical & Fundamental Analysis

The investment seeks to track the performance, before fees and expenses, of the S&P 500 Shariah Industry Exclusions Index... Show more

Category: #Large Growth
SPUS
Daily Signal:
Gain/Loss:
A.I.Advisor
Oct 24, 2026

SP Funds S&P 500 Sharia Industry Exclusions ETF (SPUS) Forecast: AI Spending and the Rate-Cycle Outlook Meet a Tech-Heavy Portfolio

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 Exposure and ETF Strategy Overview

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.

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.

Major Catalysts Ahead

  • 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.

Sector, Index, and Macroeconomic Outlook

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.

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.

Trend Prediction Engine

The Trend Prediction Engine is an AI-powered forecasting tool designed to help traders identify whether a stock, ETF, or other asset may trend bullish, bearish, or sideways over the coming week or month. It is built to surface developing trends, evaluate possible breakouts or reversals, and deliver predictions across a broad universe of tradable instruments. The product also includes searchable prediction categories, historical context, and alert-oriented functionality to help users monitor changing conditions. For investors tracking SPUS and similar funds, the Trend Prediction Engine can serve as a practical starting point for assessing short-term directional signals alongside fundamental and macro analysis.

Long-Term Outlook and Structural Trends

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.

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

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SPUS and ETFs

Correlation & Price change

A.I.dvisor indicates that over the last year, SPUS has been closely correlated with VONG. These tickers have moved in lockstep 98% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPUS jumps, then VONG could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SPUS
1D Price
Change %
SPUS100%
-1.39%
VONG - SPUS
98%
Closely correlated
-1.17%
SCHG - SPUS
98%
Closely correlated
-0.99%
SPYG - SPUS
97%
Closely correlated
-1.04%
IVW - SPUS
97%
Closely correlated
-1.05%
VUG - SPUS
95%
Closely correlated
-1.21%
More
A.I. Advisor
published General Information

General Information

Category LargeGrowth

Category
Large Growth
Address
Tidal ETF Trust234 West Florida Street, Suite 203Milwaukee
Phone
844-986-7676
Web
N/A
SP Funds S&P 500 Sharia Industry Exclusions ETF (SPUS) Forecast: AI Spending and the Rate-Cycle Outlook Meet a Tech-Heavy Portfolio