ETF Analysis
Alpha Architect U.S. Quantitative Value ETF (QVAL) ETF Analysis
Alpha Architect U.S. Quantitative Value ETF (QVAL) ETF analysis covering performance, holdings context, risk, drawdowns, volatility, momentum, dividends, valuation exposure, and the current AlgovestIQ assessment.
Alpha Architect U.S. Quantitative Value ETF (QVAL) currently has an AIQ Score of 57/100, indicating a neutral setup. Risk is the strongest factor at 68/100. Quality is the weakest current factor at 40/100. Performance, momentum, risk, distribution, and exposure evidence should be read together at the latest market-close snapshot.
QVAL at a Glance
Crawlable current metrics from the latest market-close ETF snapshot.
| Metric | Current |
|---|---|
| Price | $62.67 |
| AIQ Score | 57/100 |
| Overall View | Neutral |
| Technical Analysis Consensus | Neutral |
| Fund Size | $712.56M |
| Expense Ratio | 0.28% |
| Holdings Count | 52 |
| NAV | $63.35 |
| Asset Class | Equity |
| Primary Exposure | Energy (27.41%) |
| Issuer | Alpha Architect |
| Domicile | US |
| Inception Date | Oct 21, 2014 |
| Distribution Yield | 1.39% |
| Beta | 0.69 |
| Average Volume | 49.82K |
| 52-week range | $45.57-$65.55 |
| RSI 14 | 52.41 |
| 50-Day SMA | $61.32 |
| 200-Day SMA | $56.64 |
| Risk Score | 68/100 |
| Momentum Score | 63/100 |
| Value Exposure Score | 62/100 |
QVAL 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 | 35.93% | 35.96% | -6.69% | Nov 6, 2025 |
| 3Y | 70.62% | 19.49% | -21.96% | Nov 6, 2023 |
| 5Y | 64.23% | 10.44% | -28.45% | Nov 8, 2021 |
| 10Y | 64.23% | 10.44% | -28.45% | 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.
QVALAlpha Architect U.S. Quantitative Value ETF
Financial Services / Asset Management
Low Priority
Above Peers
Latest quote
- Momentum63
- Value62
- Quality40
- Risk resilience68
- Sentiment—
QVAL ETF Analysis Summary
Alpha Architect U.S. Quantitative Value ETF (QVAL) currently has an AIQ Score of 57/100, indicating a neutral setup. Risk resilience is the strongest factor at 68/100. Quality is the weakest current factor at 40/100. Performance, exposure, distribution, momentum, and risk evidence should be read together at the latest market-close snapshot.
In a neutral regime, QVAL has AIQ Score of 57/100 with Risk resilience base of 68/100 and fading Quality at 40/100. Wait for component alignment before adding exposure.
Risk resilience (68/100) leads while Quality (40/100) lags. This cross-factor spread creates entry timing uncertainty.
Financial Services · -1.07% ETF move · QVAL classified in Asset Management.
Current Evidence
AlgovestIQ Evidence Summary
Current consensus, supporting evidence, recent changes, and what would strengthen or weaken the view.
Is QVAL Bullish or Bearish Right Now?
QVAL currently has a neutral overall setup. Risk Resilience is the strongest factor at 68/100, while Quality is weakest at 40/100. The current evidence suggests a mixed rather than strongly bullish or bearish setup.
- - Momentum is constructive at 63/100.
- - Risk Resilience is supportive at 68/100.
- - Price is +2.20% above its 50-day SMA.
- - Technical consensus has more buy votes than sell votes (21 vs 18).
- - No strong bearish evidence is available in the current snapshot.
Current Consensus
QVAL's Technical Analysis Consensus is currently Neutral, with 21 buy, 6 neutral, and 18 sell votes. QVAL's 14-day RSI is 52.41, which places the ETF in a neutral momentum range. QVAL's beta is 0.69, indicating lower market sensitivity than the broad market.
What Changed in QVAL?
The largest recent change in QVAL is Momentum moving down by 16.0 points over the available 7-day comparison window. Risk Resilience remains the strongest visible factor.
What Would Change the QVAL 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.
QVAL Decision Framework
Public evidence layers, setup checks, and risk context for Alpha Architect U.S. Quantitative Value ETF.
Alpha Architect U.S. Quantitative Value ETF (QVAL) ETF Analysis
Alpha Architect U.S. Quantitative Value ETF has an AIQ Score of 57/100 in a Neutral regime. Risk is strongest at 68/100. Beta is 0.69, below market sensitivity. Review the supporting etf factors together before drawing a conclusion from any single score.
| Evidence Layer | Public Evidence |
|---|---|
| Regime Context | QVAL is in a Neutral AIQ regime with score 57/100. |
| Signal Conflict | The primary conflict is that risk leads at 68/100 while quality lags at 40/100. |
| Factor Evidence | Momentum 63/100 · Value 62/100 · Quality 40/100 · Risk 68/100 |
| Persistence | Current snapshot evidence is shown; historical persistence remains in AIQ Pro. |
Current Setup Checklist
Risk is the strongest factor at 68/100.
Momentum is 63/100 and RSI (14) is 52.4.
QVAL is in a Neutral regime at 57/100.
Risk factor is 68/100 with beta 0.69 and annual volatility 14.46%.
Current conflict: risk leads at 68/100 while quality lags at 40/100.
QVAL Research Cluster
ETF-specific paths for performance, risk, distributions, market context, data, comparisons, and news.
QVAL ETF Analytics
QVAL holdings context, yield, risk, valuation exposure, momentum, and AIQ evidence.
QVAL Technical Analysis
QVAL technical setup based on RSI, MACD, moving averages, AIQ Momentum, volume, trend, volatility, and pivots.
QVAL ETF Market Context
Track QVAL market context, news pressure, trend changes, income events, and current allocation evidence.
QVAL Distribution Analysis
QVAL distribution yield, annualized distributions, payment history, and income context.
QVAL ETF Data
QVAL available fund data, market metrics, technical readings, risk measures, and AIQ evidence.
QVAL Risk Analysis
QVAL volatility, beta, drawdown, Sharpe ratio, VaR, and downside resilience.
QVAL ETF News
QVAL ETF news, market tone, recent headlines, and catalyst context.
QVAL vs Factor / Style / Smart Beta Peers
Current peer cohort: QVAL · SCHG · SCHV · SLYV · SPLV. Compare AIQ, factor scores, Sharpe ratio and 1-year volatility in one indexable view.
| Peer | AIQ | Value | Momentum | Risk | Sharpe | 1Y Volatility | Compare |
|---|---|---|---|---|---|---|---|
| QVAL Current ETF | 57/100 | 62/100 | 63/100 | 68/100 | 1.93 | 14.46% | Current |
| SCHG Schwab U.S. Large-Cap Growth ETF | 48/100 | 36/100 | 26/100 | 63/100 | -0.01 | 17.69% | QVAL vs SCHG |
| SCHV Schwab U.S. Large-Cap Value ETF | 58/100 | 52/100 | 48/100 | 77/100 | 1.14 | 11.81% | QVAL vs SCHV |
| SLYV SPDR S&P 600 Small Cap Value ETF | 57/100 | 59/100 | 53/100 | 75/100 | 0.91 | 16.00% | QVAL vs SLYV |
| SPLV Invesco S&P 500 Low Volatility ETF | 70/100 | — | 76/100 | 60/100 | 0.47 | 11.11% | QVAL vs SPLV |
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 QVAL
Open the detailed evidence pages and workflows behind the stock overview read.
Premium Feature
Full AIQ Analysis
AIQ Intelligence
AIQ Pro for QVAL
Scenario Analysis
AIQ Scenario Builder
Portfolio Implication
Related Links
QVAL ETF FAQ
What is QVAL ETF price today?
QVAL is currently shown at $62.67. Use the live quote with the 52-week range and AIQ context before comparing funds.
What is QVAL's 52-week high and low?
QVAL's 52-week range is $45.57 to $65.55 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 QVAL pay a dividend?
QVAL's current distribution yield is 1.39% 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 QVAL?
Compare QVAL's price trend, expense profile, yield, holdings exposure, volatility, and AIQ signal. ETF decisions should focus on portfolio fit as much as current momentum.