Generated August 15, 2026.
Figures quoted in this analysis are from its generation date and may lag the live snapshot table above, which always shows the latest data.
Overview
IAUI and QQQI are both NEOS-issued ETFs designed to generate high monthly income through covered call and derivative strategies, but they target fundamentally different asset classes. IAUI generates its 11.29% yield from gold ETPs with minimal equity risk (beta 0.0), while QQQI pursues a 13.66% yield from NASDAQ-100 exposure with meaningful stock-market correlation (beta 1.0553). The choice between them hinges on whether you want inflation-sensitive commodity exposure or growth-stock income.
How they differ
The clearest difference is their underlying asset class: IAUI is anchored to physical gold and gold ETPs, making it a real asset play with zero systematic equity beta; QQQI targets 100 large-cap tech and mega-cap growth stocks, with beta above 1.0 indicating amplified moves relative to the broad market. Second, QQQI's 13.66% distribution yield substantially exceeds IAUI's 11.29%, though QQQI also carries higher capital risk if tech valuations compress—gold's price-appreciation upside is typically moderate and inflation-dependent, while NASDAQ-100 stocks can deliver either dramatic gains or drawdowns depending on interest rates and earnings momentum. Third, QQQI's $13.9B in AUM dwarfs IAUI's $539M, which may matter for liquidity and fund longevity but also suggests different investor appetites: QQQI has attracted mainstream income seekers, while IAUI serves a smaller niche seeking gold-focused yield.
Who each is best for
IAUI: Investors seeking a non-correlated income source that moves independently of stock and bond markets, or those building a portfolio hedge against inflation and currency debasement while monetizing gold's current price level.
QQQI: Investors comfortable with equity-market volatility who want to harvest NASDAQ-100 appreciation while collecting high income via systematic call-selling, and who view a 13.66% yield as compensation for tech-sector concentration and rate-sensitivity risk.
Key risks to know
- NAV erosion at yields above 12%. Both funds distribute at yields substantially above typical equity returns, meaning returns of capital are likely—monthly distributions greater than underlying earnings create drag on share price over time, particularly if volatility or interest-rate moves reduce call-selling premiums.
- Gold price and interest-rate dependency (IAUI). Gold's value reflects real rates and currency dynamics rather than earnings growth; sustained higher rates or a stronger dollar would pressure both the ETF's underlying and its covered-call premium, reducing income generation.
- Tech-concentration and multiple compression risk (QQQI). NASDAQ-100 exposure concentrates the fund in a handful of mega-cap companies; a shift in investor appetite away from growth tech or a rise in risk-free rates could crimp both stock prices and the willingness of call buyers to pay high premiums, squeezing yield.
- Call-overlay skew (QQQI). If markets rally sharply, QQQI's shares may be called away repeatedly at strikes that cap upside, underperforming a buy-and-hold NASDAQ-100 strategy; conversely, in a steep decline, call premiums shrink, reducing distributions when they're needed most.
- Basis risk between gold ETPs and physical gold (IAUI). IAUI doesn't hold physical gold directly but instead buys gold ETPs, introducing a layer of counterparty and structural risk between the fund and actual gold prices.
Bottom line
If you want a non-correlated, inflation-sensitive income stream with near-zero equity beta, IAUI's gold focus and lower distribution rate may appeal; if you're seeking maximum current yield and can tolerate tech volatility and call-capping, QQQI's 13.66% and NASDAQ-100 upside exposure stand out. Both require understanding that monthly distributions above 11% likely include significant return of capital, and neither fund's past performance predicts how yields or NAV will behave if interest rates, volatility, or market structure shift.
AI-generated analysis for educational purposes only. Verify important details independently; past performance does not guarantee future results.