| QVAL Etf | | | USD 50.78 0.13 0.26% |
The pattern recognition module provides an execution environment for Two Crows recognition and related indicators on Alpha Architect. It emphasizes pattern recognition signals tied to momentum and continuation while keeping volatility, risk, and performance context in view.
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was twelve with a total number of output elements of forty-nine. The function did not return any valid pattern recognition events for the selected time horizon. Two Crows is a 3-day pattern that warns about a possible future trend reversal for Alpha Architect.
Most technical analysis of Alpha Architect help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Alpha from various momentum indicators to cycle indicators. When you analyze Alpha charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
The ETF overview for Alpha Architect focuses on exposure design, holdings transparency, and trading mechanics. The ETF provides exposure to Size And Style ETFs, Broad Equity ETFs. The current allocation is approximately 100.0% equities. It is classified under Mid-Cap Value within the Alpha Architect family.
Methodology
Unless otherwise specified, data for Alpha Architect Quantitative is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. Alpha Architect Quantitative market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Premium/discount dynamics for Alpha Architect Quantitative can be shaped by underlying holdings liquidity, rebalancing schedules, and market-wide risk appetite. Assumptions: The data underlying this report is sourced from public fund disclosures, holdings reports, and market data feeds, including filings and releases published by U.S. Securities and Exchange Commission (SEC) via EDGAR. Some updates may be delayed based on publication cadence. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.
Research Sources
Alpha Architect Quantitative may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.
This content is curated and reviewed by:
Ellen Johnson - Member of Macroaxis Editorial Board
Tracking Alpha Architect inside a portfolio is useful because individual winners can still weaken diversification or distort overall risk targets. A disciplined tracking process turns performance data into better decisions instead of more noise.