ETF Analysis
Alpha Architect U.S. Quantitative Momentum ETF (QMOM) ETF Analysis
Alpha Architect U.S. Quantitative Momentum ETF (QMOM) ETF analysis covering performance, holdings context, risk, drawdowns, volatility, momentum, dividends, valuation exposure, and the current AlgovestIQ assessment.
Alpha Architect U.S. Quantitative Momentum ETF (QMOM) currently has an AIQ Score of 37/100, indicating a bearish setup. Risk is the strongest factor at 57/100. Momentum is the weakest current factor at 24/100. Performance, momentum, risk, distribution, and exposure evidence should be read together at the latest market-close snapshot.
QMOM at a Glance
Crawlable current metrics from the latest market-close ETF snapshot.
| Metric | Current |
|---|---|
| Price | $65.87 |
| AIQ Score | 37/100 |
| Overall View | Bearish |
| Technical Analysis Consensus | Strong Sell |
| Fund Size | $323.08M |
| Expense Ratio | 0.28% |
| Holdings Count | 51 |
| NAV | $65.62 |
| Asset Class | Equity |
| Primary Exposure | Healthcare (25.33%) |
| Issuer | Alpha Architect |
| Domicile | US |
| Inception Date | Dec 1, 2015 |
| Distribution Yield | 0.54% |
| Beta | 1.32 |
| Average Volume | 20.99K |
| 52-week range | $60.24-$81.95 |
| RSI 14 | 29.39 |
| 50-Day SMA | $72.37 |
| 200-Day SMA | $73.85 |
| Risk Score | 57/100 |
| Momentum Score | 24/100 |
| Value Exposure Score | 41/100 |
QMOM 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 | 0.57% | 0.57% | -19.92% | Nov 6, 2025 |
| 3Y | 50.39% | 14.57% | -27.47% | Nov 6, 2023 |
| 5Y | 18.27% | 3.42% | -28.07% | Nov 8, 2021 |
| 10Y | 18.27% | 3.42% | -28.07% | Nov 8, 2021 |
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.
QMOMAlpha Architect U.S. Quantitative Momentum ETF
Financial Services / Asset Management
Low Priority
Relative Laggard
Latest quote
- Momentum24
- Value41
- Quality34
- Risk resilience57
- Sentiment—
QMOM ETF Analysis Summary
Alpha Architect U.S. Quantitative Momentum ETF (QMOM) currently has an AIQ Score of 37/100, indicating a bearish setup. Risk resilience is the strongest factor at 57/100. Momentum is the weakest current factor at 24/100. Performance, exposure, distribution, momentum, and risk evidence should be read together at the latest market-close snapshot.
In a bearish regime, QMOM has AIQ Score of 37/100 with Risk resilience base of 57/100 and fading Momentum at 24/100. Wait for component alignment before adding exposure.
Risk resilience (57/100) leads while Momentum (24/100) lags. This cross-factor spread creates entry timing uncertainty.
Financial Services · 0.69% ETF move · QMOM classified in Asset Management.
Current Evidence
AlgovestIQ Evidence Summary
Current consensus, supporting evidence, recent changes, and what would strengthen or weaken the view.
Is QMOM Bullish or Bearish Right Now?
QMOM currently has a bearish overall setup. Risk Resilience is the strongest factor at 57/100, while Momentum is weakest at 24/100. The current evidence suggests a defensive setup.
- - No strong bullish evidence is available in the current snapshot.
- - Value is the current constraint at 41/100.
- - Momentum is weak at 24/100.
- - Price is -10.81% below its 200-day SMA.
- - Technical consensus has more sell votes than buy votes (38 vs 6).
Current Consensus
QMOM's Technical Analysis Consensus is currently Strong Sell, with 6 buy, 1 neutral, and 38 sell votes. QMOM's 14-day RSI is 29.39, which places the ETF in an oversold momentum range. QMOM's beta is 1.32, indicating greater market sensitivity than the broad market.
What Changed in QMOM?
The largest recent change in QMOM is Risk Resilience moving down by 9.0 points over the available 7-day comparison window. Risk Resilience remains the strongest visible factor.
What Would Change the QMOM Outlook?
The current bearish 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.
QMOM Decision Framework
Public evidence layers, setup checks, and risk context for Alpha Architect U.S. Quantitative Momentum ETF.
Alpha Architect U.S. Quantitative Momentum ETF (QMOM) ETF Analysis
Alpha Architect U.S. Quantitative Momentum ETF has an AIQ Score of 37/100 in a Defensive regime. Risk is strongest at 57/100. Beta is 1.32, above market sensitivity. Review the supporting etf factors together before drawing a conclusion from any single score.
| Evidence Layer | Public Evidence |
|---|---|
| Regime Context | QMOM is in a Defensive AIQ regime with score 37/100. |
| Signal Conflict | The primary conflict is that risk leads at 57/100 while momentum lags at 24/100. |
| Factor Evidence | Momentum 24/100 · Value 41/100 · Quality 34/100 · Risk 57/100 |
| Persistence | Current snapshot evidence is shown; historical persistence remains in AIQ Pro. |
Current Setup Checklist
Risk is the strongest factor at 57/100.
Momentum is 24/100 and RSI (14) is 29.4.
QMOM is in a Defensive regime at 37/100.
Risk factor is 57/100 with beta 1.32 and annual volatility 26.85%.
Current conflict: risk leads at 57/100 while momentum lags at 24/100.
QMOM Research Cluster
ETF-specific paths for performance, risk, distributions, market context, data, comparisons, and news.
QMOM ETF Analytics
QMOM holdings context, yield, risk, valuation exposure, momentum, and AIQ evidence.
QMOM Technical Analysis
QMOM technical setup based on RSI, MACD, moving averages, AIQ Momentum, volume, trend, volatility, and pivots.
QMOM ETF Market Context
Track QMOM market context, news pressure, trend changes, income events, and current allocation evidence.
QMOM Distribution Analysis
QMOM distribution yield, annualized distributions, payment history, and income context.
QMOM ETF Data
QMOM available fund data, market metrics, technical readings, risk measures, and AIQ evidence.
QMOM Risk Analysis
QMOM volatility, beta, drawdown, Sharpe ratio, VaR, and downside resilience.
QMOM ETF News
QMOM ETF news, market tone, recent headlines, and catalyst context.
QMOM vs Factor / Style / Smart Beta Peers
Current peer cohort: QMOM · QUAL · QVAL · SCHG · SCHV. Compare AIQ, factor scores, Sharpe ratio and 1-year volatility in one indexable view.
| Peer | AIQ | Value | Momentum | Risk | Sharpe | 1Y Volatility | Compare |
|---|---|---|---|---|---|---|---|
| QMOM Current ETF | 37/100 | 41/100 | 24/100 | 57/100 | 0.01 | 26.85% | Current |
| QUAL iShares MSCI USA Quality Factor ETF | 61/100 | 72/100 | 37/100 | 78/100 | 0.76 | 12.55% | QMOM vs QUAL |
| QVAL Alpha Architect U.S. Quantitative Value ETF | 57/100 | 62/100 | 63/100 | 68/100 | 1.93 | 14.46% | QMOM vs QVAL |
| SCHG Schwab U.S. Large-Cap Growth ETF | 48/100 | 36/100 | 26/100 | 63/100 | -0.01 | 17.69% | QMOM vs SCHG |
| SCHV Schwab U.S. Large-Cap Value ETF | 58/100 | 52/100 | 48/100 | 77/100 | 1.14 | 11.81% | QMOM vs SCHV |
Peer cohort is resolved dynamically from the AlgovestIQ universe taxonomy and Compare relationship graph. Data as of Nov 6, 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 Nov 7, 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 QMOM
Open the detailed evidence pages and workflows behind the stock overview read.
Premium Feature
Full AIQ Analysis
AIQ Intelligence
AIQ Pro for QMOM
Scenario Analysis
AIQ Scenario Builder
Portfolio Implication
Related Links
QMOM ETF FAQ
What is QMOM ETF price today?
QMOM is currently shown at $65.87. Use the live quote with the 52-week range and AIQ context before comparing funds.
What is QMOM's 52-week high and low?
QMOM's 52-week range is $60.24 to $81.95 based on the latest completed market-close snapshot from Nov 6, 2026. A price near either extreme should be evaluated with volatility and trend evidence.
Does QMOM pay a dividend?
QMOM's current distribution yield is 0.54% based on the latest completed market-close snapshot from Nov 6, 2026. For ETFs, dividend yield should be compared with expense ratio, holdings, and risk.
What should investors compare before buying QMOM?
Compare QMOM's price trend, expense profile, yield, holdings exposure, volatility, and AIQ signal. ETF decisions should focus on portfolio fit as much as current momentum.