Goldman Sachs S&P 500 Premium Income ETF (GPIX) and NEOS Nasdaq-100 High Income ETF (QQQI) represent two distinct approaches to generating income from large-cap U.S. equities while maintaining participation in market appreciation. Both employ options overlays on prominent growth indices, making them relevant for investors evaluating income-enhanced strategies in the current environment of elevated volatility and sector-specific opportunities. They do not compete directly but offer differentiated exposure within the technology-heavy large-cap segment, allowing portfolio construction choices based on index breadth, cost, and income objectives.
The Goldman Sachs S&P 500 Premium Income ETF (GPIX) tracks the S&P 500 Index through a core equity portfolio supplemented by an options strategy designed to generate premium income. The fund holds approximately 500 securities, mirroring the broad market-cap-weighted composition of the S&P 500. Top holdings include NVIDIA Corporation (NVDA), Apple Inc. (AAPL), Microsoft Corporation (MSFT), Amazon.com Inc. (AMZN), and Alphabet Inc. (GOOGL), which together account for a significant portion of assets. Sector allocations reflect the index’s emphasis on technology, consumer discretionary, communication services, and financials. The fund maintains a net expense ratio of 0.29%. As a derivative-income vehicle, it combines passive index replication with active options management to pursue stable income alongside capital appreciation potential.
The NEOS Nasdaq-100 High Income ETF (QQQI) is an actively managed fund that invests in the constituents of the Nasdaq-100 Index while implementing a data-driven call option strategy to produce high monthly income. The portfolio centers on the 100 largest non-financial companies listed on Nasdaq, with top holdings typically featuring NVIDIA Corporation (NVDA), Apple Inc. (AAPL), Microsoft Corporation (MSFT), Amazon.com Inc. (AMZN), and Broadcom Inc. (AVGO). Sector exposure concentrates in technology, consumer discretionary, and communication services. The fund reports a management fee and total annual operating expenses of 0.68%. Its structure leverages Section 1256 contracts for potential tax efficiency and incorporates tax-loss harvesting opportunities alongside the options overlay.
The technology sector continues to drive market leadership through innovation in artificial intelligence, semiconductors, and cloud computing. Macroeconomic factors including interest-rate expectations, corporate earnings growth, and capital allocation toward high-growth companies influence both ETFs. Regulatory developments around technology competition and data privacy remain relevant, while capital flows into income-generating strategies have increased amid periods of market uncertainty. Sector risks include valuation compression, regulatory scrutiny, and shifts in investor sentiment toward defensive areas. These dynamics support demand for vehicles that combine equity exposure with options-based income enhancement.
In recent market cycles, both ETFs have exhibited sensitivity to technology sector rotations and earnings momentum within mega-cap holdings. GPIX’s broader S&P 500 exposure may provide relative stability during periods of concentrated Nasdaq outperformance, while QQQI’s Nasdaq-100 focus and higher distribution target can amplify income in volatile environments. Relative positioning favors GPIX for investors prioritizing lower costs and diversification across 500 holdings, whereas QQQI appeals to those seeking elevated monthly payouts from a concentrated growth basket. Volatility differences arise from index composition, with both strategies using options to moderate drawdowns through income generation.
AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Explore opportunities with the AI Screener.
Tickeron’s AI would currently assign a modest edge to Goldman Sachs S&P 500 Premium Income ETF (GPIX) on the basis of its lower expense ratio, broader diversification across the S&P 500, and structural alignment with established large-cap benchmarks. The combination of cost efficiency and comprehensive sector representation supports more consistent positioning across market regimes compared with the higher-cost, more concentrated Nasdaq-100 approach of NEOS Nasdaq-100 High Income ETF (QQQI). Investors should evaluate these factors against individual income requirements and risk tolerance.
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.
| GPIX | QQQI | GPIX / QQQI | |
| Gain YTD | 13.140 | 9.139 | 144% |
| Net Assets | 5.69B | 14.4B | 40% |
| Total Expense Ratio | 0.29 | 0.68 | 43% |
| Turnover | 27.00 | 8.00 | 338% |
| Yield | 2.83 | 1.28 | 221% |
| Fund Existence | 3 years | 3 years | - |
| GPIX | QQQI | |
|---|---|---|
| RSI ODDS (%) | 5 days ago 48% | N/A |
| Stochastic ODDS (%) | 5 days ago 65% | 5 days ago 76% |
| Momentum ODDS (%) | 5 days ago 84% | 5 days ago 90% |
| MACD ODDS (%) | 5 days ago 59% | 5 days ago 83% |
| TrendWeek ODDS (%) | 5 days ago 86% | 5 days ago 86% |
| TrendMonth ODDS (%) | 5 days ago 87% | 5 days ago 88% |
| Advances ODDS (%) | 6 days ago 86% | 5 days ago 85% |
| Declines ODDS (%) | 8 days ago 64% | 20 days ago 67% |
| BollingerBands ODDS (%) | 7 days ago 71% | N/A |
| Aroon ODDS (%) | N/A | 5 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| XCEM | 52.28 | 0.74 | +1.43% |
| Columbia EM Core ex-China ETF | |||
| UXI | 55.97 | 0.45 | +0.82% |
| ProShares Ultra Industrials | |||
| DIAL | 17.83 | -0.02 | -0.11% |
| Columbia Diversified Fixed Inc Allc ETF | |||
| FEGE | 53.03 | -0.32 | -0.60% |
| FIRST EAGLE GLOBAL EQUITY ETF | |||
| CSNR | 38.71 | -0.24 | -0.63% |
| Cohen & Steers Natural Resources Act ETF | |||
A.I.dvisor indicates that over the last year, QQQI has been closely correlated with LRCX. These tickers have moved in lockstep 75% 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% | +0.18% | ||
| LRCX - QQQI | 75% Closely correlated | +5.12% | ||
| AMAT - QQQI | 70% Closely correlated | +4.31% | ||
| KLAC - QQQI | 70% Closely correlated | +7.32% | ||
| ASML - QQQI | 68% Closely correlated | +4.17% | ||
| MU - QQQI | 65% Loosely correlated | +6.10% | ||
More | ||||