ETF Analysis
NEOS Nasdaq-100 High Income ETF (QQQI) ETF Analysis
NEOS Nasdaq-100 High Income ETF (QQQI) ETF analysis covering performance, holdings context, risk, drawdowns, volatility, momentum, dividends, valuation exposure, and the current AlgovestIQ assessment.
NEOS Nasdaq-100 High Income ETF (QQQI) currently has an AIQ Score of 48/100, indicating a neutral setup. Risk is the strongest factor at 81/100. Momentum is the weakest current factor at 28/100. Performance, momentum, risk, distribution, and exposure evidence should be read together at the latest market-close snapshot.
QQQI at a Glance
Crawlable current metrics from the latest market-close ETF snapshot.
| Metric | Current |
|---|---|
| Price | $54.00 |
| AIQ Score | 48/100 |
| Overall View | Neutral |
| Technical Analysis Consensus | Strong Sell |
| Fund Size | $15.04B |
| Expense Ratio | 0.68% |
| Holdings Count | 105 |
| NAV | $54.21 |
| Asset Class | Equity |
| Primary Exposure | Technology (61.22%) |
| Issuer | Neos |
| Domicile | US |
| Inception Date | Jan 29, 2024 |
| Distribution Yield | 14.09% |
| Beta | 0.93 |
| Average Volume | 5.09M |
| 52-week range | $47.87-$57.84 |
| RSI 14 | 34.16 |
| 50-Day SMA | $54.96 |
| 200-Day SMA | $54.21 |
| Risk Score | 81/100 |
| Momentum Score | 28/100 |
| Value Exposure Score | 32/100 |
QQQI Long-Horizon ETF Performance
Trailing returns, growth of $10,000, drawdown history, and calendar-year returns from available daily closes.
| Period | Total return | Annualized | Max drawdown | Start date |
|---|---|---|---|---|
| 1Y | -1.65% | -1.65% | -13.73% | Oct 20, 2025 |
| 3Y | 8.68% | 3.10% | -21.86% | Jan 30, 2024 |
| 5Y | 8.68% | 3.10% | -21.86% | Jan 30, 2024 |
| 10Y | 8.68% | 3.10% | -21.86% | Jan 30, 2024 |
Growth of $10,000
Indexed to the first available close in this history window.
Drawdown History
Peak-to-trough decline from each prior high over the available window.
Calendar-Year Returns
Full-year returns where available, with the current calendar year shown as YTD.
QQQINEOS Nasdaq-100 High Income ETF
Financial Services / Asset Management - Income
Low Priority
Relative Laggard
Latest quote
- Momentum28
- Value32
- Quality65
- Risk resilience81
- Sentiment—
QQQI ETF Analysis Summary
NEOS Nasdaq-100 High Income ETF (QQQI) currently has an AIQ Score of 48/100, indicating a neutral setup. Risk resilience is the strongest factor at 81/100. Momentum is the weakest current factor at 28/100. Performance, exposure, distribution, momentum, and risk evidence should be read together at the latest market-close snapshot.
In a neutral regime, QQQI has AIQ Score of 48/100 with Risk resilience base of 81/100 and fading Momentum at 28/100. Wait for component alignment before adding exposure.
Risk resilience (81/100) leads while Momentum (28/100) lags. This cross-factor spread creates entry timing uncertainty.
Financial Services · -0.30% ETF move · QQQI classified in Asset Management - Income.
Current Evidence
AlgovestIQ Evidence Summary
Current consensus, supporting evidence, recent changes, and what would strengthen or weaken the view.
Is QQQI Bullish or Bearish Right Now?
QQQI currently has a neutral overall setup. Risk Resilience is the strongest factor at 81/100, while Momentum is weakest at 28/100. The current evidence suggests a mixed rather than strongly bullish or bearish setup.
- - Quality is supportive at 65/100.
- - Risk Resilience is supportive at 81/100.
- - Value is the current constraint at 32/100.
- - Momentum is weak at 28/100.
- - Price is -0.39% below its 200-day SMA.
- - Technical consensus has more sell votes than buy votes (33 vs 8).
Current Consensus
QQQI's Technical Analysis Consensus is currently Strong Sell, with 8 buy, 4 neutral, and 33 sell votes. QQQI's 14-day RSI is 34.16, which places the ETF in a weaker momentum range. QQQI's beta is 0.93, indicating market sensitivity broadly in line with the market.
What Changed in QQQI?
The largest recent change in QQQI is Momentum moving down by 13.0 points over the available 7-day comparison window. Risk Resilience remains the strongest visible factor.
What Would Change the QQQI Outlook?
The current neutral outlook could improve if AIQ moves above 70, momentum recovers, risk resilience improves, and price confirms a stronger trend above the 50-day and 200-day moving averages. It would weaken if AIQ falls below 40, price loses long-term moving-average support, distribution or liquidity context deteriorates, or risk evidence worsens.
AIQ > 70, RSI above 55, price above SMA-50/SMA-200, and positive market-context evidence.
AIQ below 40, RSI below 45, loss of SMA-200, negative revisions, or rising volatility and drawdown risk.
QQQI Decision Framework
Public evidence layers, setup checks, and risk context for NEOS Nasdaq-100 High Income ETF.
NEOS Nasdaq-100 High Income ETF (QQQI) ETF Analysis
NEOS Nasdaq-100 High Income ETF has an AIQ Score of 48/100 in a Neutral regime. Risk is strongest at 81/100. Beta is 0.93, close to market sensitivity. Review the supporting etf factors together before drawing a conclusion from any single score.
| Evidence Layer | Public Evidence |
|---|---|
| Regime Context | QQQI is in a Neutral AIQ regime with score 48/100. |
| Signal Conflict | The primary conflict is that risk leads at 81/100 while momentum lags at 28/100. |
| Factor Evidence | Momentum 28/100 · Value 32/100 · Quality 65/100 · Risk 81/100 |
| Persistence | Current snapshot evidence is shown; historical persistence remains in AIQ Pro. |
Current Setup Checklist
Risk is the strongest factor at 81/100.
Momentum is 28/100 and RSI (14) is 34.2.
QQQI is in a Neutral regime at 48/100.
Risk factor is 81/100 with beta 0.93 and annual volatility 17.12%.
Current conflict: risk leads at 81/100 while momentum lags at 28/100.
QQQI Research Cluster
ETF-specific paths for performance, risk, distributions, market context, data, comparisons, and news.
QQQI ETF Analytics
QQQI holdings context, yield, risk, valuation exposure, momentum, and AIQ evidence.
QQQI Technical Analysis
QQQI technical setup based on RSI, MACD, moving averages, AIQ Momentum, volume, trend, volatility, and pivots.
QQQI ETF Market Context
Track QQQI market context, news pressure, trend changes, income events, and current allocation evidence.
QQQI Distribution Analysis
QQQI distribution yield, annualized distributions, payment history, and income context.
QQQI ETF Data
QQQI available fund data, market metrics, technical readings, risk measures, and AIQ evidence.
QQQI Risk Analysis
QQQI volatility, beta, drawdown, Sharpe ratio, VaR, and downside resilience.
QQQI ETF News
QQQI ETF news, market tone, recent headlines, and catalyst context.
QQQI vs Options Income / Covered Call Peers
Current peer cohort: QQQI · QQQY · QYLD · RDTE · SMCY. Compare AIQ, factor scores, Sharpe ratio and 1-year volatility in one indexable view.
| Peer | AIQ | Value | Momentum | Risk | Sharpe | 1Y Volatility | Compare |
|---|---|---|---|---|---|---|---|
| QQQI Current ETF | 48/100 | 32/100 | 28/100 | 81/100 | -0.26 | 17.12% | Current |
| QQQY Defiance Nasdaq 100 Enhanced Options Income ETF | 41/100 | 35/100 | 28/100 | 80/100 | -0.92 | 18.66% | QQQI vs QQQY |
| QYLD Global X Nasdaq 100 Covered Call ETF | 49/100 | 30/100 | 39/100 | 73/100 | 0.26 | 11.68% | QQQI vs QYLD |
| RDTE Roundhill Small Cap 0DTE Covered Call Strategy ETF | 45/100 | — | 31/100 | 82/100 | -1.62 | 17.66% | QQQI vs RDTE |
| SMCY YieldMax SMCI Option Income Strategy ETF | 29/100 | — | 26/100 | 0/100 | -1.3 | 77.92% | QQQI vs SMCY |
Peer cohort is resolved dynamically from the AlgovestIQ universe taxonomy and Compare relationship graph. Data as of Oct 21, 2026.
About the AIQ Score
Methodology for the current ETF evidence.
The AlgovestIQ AIQ Score combines multiple dimensions of ETF evidence, including momentum, valuation exposure, quality, risk resilience, sentiment context, and timing signals. It is a descriptive research score, not a guarantee of future performance or a personalized recommendation.
View AIQ methodologyFactor Diagnostics
A compact bridge from the AIQ score to the evidence tabs.
Valuation exposure across the fund's holdings.
Quality context inferred from fund exposure and available evidence.
Trend, momentum, volume, and timing confirmation.
Resilience, volatility, beta, drawdown, and tail risk.
News and event pressure around the setup.
Open the return calculator with ETF context while purchase price, shares, dates and fees remain user inputs.
AIQ Component Profile
Compare the five component scores on one consistent 0–100 scale.
Review earnings timing, revisions, news pressure, and prior event reactions in one place.
Open catalystsNo quarterly financial rows in this snapshot.
Checked Oct 21, 2026
Explore factor drivers, conflicts, persistence, and scenario sensitivity in the advanced workspace.
ETF Analytics Snapshot
Current ETF evidence uses fund profile, cost, size, distribution, momentum, and risk fields.
ETF pages use fund-native profile fields for cost, size, liquidity, holdings breadth, NAV, issuer, and launch date.
Market Confirmation
Technicals are summarized first, with the indicator library behind it.
Risk Alignment
Higher resilience is stronger; exposure metrics stay separate.
Continue Researching QQQI
Open the detailed evidence pages and workflows behind the stock overview read.
Premium Feature
Full AIQ Analysis
AIQ Intelligence
AIQ Pro for QQQI
Scenario Analysis
AIQ Scenario Builder
Portfolio Implication
Related Links
QQQI ETF FAQ
What is QQQI ETF price today?
QQQI is currently shown at $54.00. Use the live quote with the 52-week range and AIQ context before comparing funds.
What is QQQI's 52-week high and low?
QQQI's 52-week range is $47.87 to $57.84 based on the latest completed market-close snapshot from Oct 21, 2026. A price near either extreme should be evaluated with volatility and trend evidence.
Does QQQI pay a dividend?
QQQI's current distribution yield is 14.09% based on the latest completed market-close snapshot from Oct 21, 2026. For ETFs, dividend yield should be compared with expense ratio, holdings, and risk.
What should investors compare before buying QQQI?
Compare QQQI's price trend, expense profile, yield, holdings exposure, volatility, and AIQ signal. ETF decisions should focus on portfolio fit as much as current momentum.