Investors focused on the technology-heavy Nasdaq-100 Index increasingly turn to covered-call ETFs for a combination of equity upside and supplemental income. GPIQ and QQQI represent two prominent options in this category, each pursuing an active strategy that pairs Nasdaq-100 stock holdings with call-option overlays. They compete directly for investors seeking similar exposure and income objectives, differing primarily in cost structure, issuer approach, and minor implementation details rather than fundamental sector allocation.
GPIQ is an actively managed ETF launched in October 2023 by Goldman Sachs that seeks current income while preserving prospects for capital appreciation. The fund invests at least 80 percent of its assets in Nasdaq-100 companies and dynamically sells call options on the index to generate premium income. It holds approximately 106 securities, with the top 10 positions accounting for roughly 47 to 48 percent of assets, led by NVIDIA Corporation, Apple Inc., and Microsoft Corporation. Sector allocations mirror the Nasdaq-100, with heavy weighting toward technology and communication services. The expense ratio stands at 0.29 percent. The strategy is non-diversified and uses a proprietary active approach rather than strict index replication.
QQQI is an actively managed ETF launched in January 2024 by NEOS Investments that aims to deliver high monthly income in a tax-efficient manner alongside equity appreciation potential. The fund replicates the Nasdaq-100 Index constituents and overlays written call options on the NDX index. It holds approximately 104 securities, with the top 10 holdings representing about 46 percent of assets, concentrated in the same large-cap technology names such as NVIDIA Corporation, Apple Inc., and Microsoft Corporation. Sector exposure aligns closely with the Nasdaq-100. The expense ratio is 0.68 percent. The options strategy incorporates active management decisions on strike selection and coverage levels, with distributions benefiting from Section 1256 contract tax treatment.
The Nasdaq-100 Index remains dominated by growth-oriented technology and consumer discretionary companies, benefiting from secular trends in artificial intelligence, cloud computing, and digital transformation. Capital flows into income-enhanced equity products have accelerated amid investor demand for yield in a higher-rate environment. Macroeconomic drivers include Federal Reserve policy expectations, corporate earnings cycles from mega-cap technology firms, and ongoing innovation spending. Key risks encompass valuation compression in high-growth sectors, regulatory scrutiny of large technology platforms, and potential volatility from geopolitical or economic shifts that could pressure equity markets and options premiums alike.
Both funds have delivered income distributions well above traditional equity benchmarks during recent market cycles, driven by elevated options premiums amid volatility. GPIQ’s lower expense ratio supports modestly higher net yields over time, while its earlier inception provides a slightly longer performance history. QQQI emphasizes tax-efficient return-of-capital components in distributions. In recent weeks and months, relative positioning has reflected broader Nasdaq-100 movements tied to technology earnings and interest-rate sentiment, with both ETFs exhibiting lower volatility than unhedged Nasdaq-100 exposure due to the call-writing overlay. Differences in performance have stemmed primarily from fee drag and minor variations in options implementation rather than divergent sector bets.
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Based on observable structural factors including a meaningfully lower expense ratio, comparable diversification, and established active management framework, Tickeron’s AI would currently assign a modestly higher probability of preference to GPIQ for investors prioritizing cost efficiency within the Nasdaq-100 covered-call category. QQQI remains competitive for those valuing its specific tax-treatment characteristics and options execution approach. Selection ultimately depends on individual priorities regarding fees, distribution tax profile, and overall portfolio fit.
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| GPIQ | QQQI | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 50% | 2 days ago 56% |
| Stochastic ODDS (%) | 2 days ago 68% | 2 days ago 66% |
| Momentum ODDS (%) | 2 days ago 80% | 2 days ago 80% |
| MACD ODDS (%) | 2 days ago 79% | 2 days ago 72% |
| TrendWeek ODDS (%) | 2 days ago 89% | 2 days ago 86% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 87% |
| Advances ODDS (%) | 2 days ago 88% | 2 days ago 84% |
| Declines ODDS (%) | 9 days ago 71% | 9 days ago 67% |
| BollingerBands ODDS (%) | 2 days ago 71% | 2 days ago 70% |
| Aroon ODDS (%) | 2 days ago 69% | 2 days ago 67% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| NUKX | 34.02 | 0.33 | +0.97% |
| Nicholas Nuclear Income ETF | |||
| BETZ | 18.23 | 0.08 | +0.43% |
| Roundhill Sports Betting & iGaming ETF (BETZ) | |||
| CPAI | 52.60 | 0.04 | +0.09% |
| Counterpoint Quantitative Equity ETF (CPAI) | |||
| BUFT | 26.48 | 0.01 | +0.03% |
| FT Vest Buffered Allocation Defensive ETF (BUFT) | |||
| DCOR | 84.06 | -0.23 | -0.27% |
| Dimensional US Core Equity 1 ETF (DCOR) | |||
A.I.dvisor indicates that over the last year, GPIQ has been closely correlated with LRCX. These tickers have moved in lockstep 76% of the time. This A.I.-generated data suggests there is a high statistical probability that if GPIQ jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To GPIQ | 1D Price Change % | ||
|---|---|---|---|---|
| GPIQ | 100% | +0.53% | ||
| LRCX - GPIQ | 76% Closely correlated | +2.87% | ||
| KLAC - GPIQ | 72% Closely correlated | +2.36% | ||
| AMAT - GPIQ | 72% Closely correlated | +1.77% | ||
| ASML - GPIQ | 69% Closely correlated | +2.14% | ||
| AMD - GPIQ | 69% Closely correlated | +1.34% | ||
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A.I.dvisor indicates that over the last year, QQQI has been closely correlated with LRCX. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if QQQI jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To QQQI | 1D Price Change % | ||
|---|---|---|---|---|
| QQQI | 100% | -0.50% | ||
| LRCX - QQQI | 74% Closely correlated | -1.08% | ||
| AMAT - QQQI | 70% Closely correlated | +0.41% | ||
| KLAC - QQQI | 70% Closely correlated | -0.24% | ||
| ASML - QQQI | 68% Closely correlated | -0.19% | ||
| MPWR - QQQI | 66% Closely correlated | -1.82% | ||
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