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Alpha Architect Global Factor Equity ETF

AAVMNASDAQAlpha ArchitectEquity

$33.88Today:- (-)1Y +17.39%

As of Oct 28, 2026 close

Assets (AUM)
$26.28M
Expense ratio
0.38%
Dividend yield
1.80%
Holdings
6
52-week range
$28.05$35.01
Volume (live)
-
Avg. volume (3M)
1.48K

AAVM ETF Historical Prices: Alpha Architect Global Factor Equity ETF

Complete OHLC price data, adjusted close prices, and daily trading volume for this Equity ETF. Analyze trends with customizable time periods and intervals.

AAVM Historical Price Chart: Trends & Patterns

Visualize price movements and trading patterns with adjustable time periods and data intervals.

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AAVM Historical Price Data Table

Complete historical stock price data with OHLC prices, adjusted close, and daily trading volume. Filter by time interval and date range for detailed price history analysis.

Filter Historical Data

Active filters: 6 Months · Daily127 records
Showing 1-50 of 127
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AAVM historical price data table with daily, weekly, monthly, quarterly, and yearly trading intervals. Track Open, High, Low, Close, Adjusted Close prices, and trading volume to analyze price trends, technical patterns, and market activity for comprehensive price history analysis.
DateOpenHighLowCloseAdj CloseVolume
Oct 28, 202633.8833.8833.8833.8833.886
Oct 27, 202633.8733.9633.8733.9633.96644
Oct 26, 202633.9334.0133.9233.9333.931.20K
Oct 23, 202633.6533.6533.6533.6533.6585
Oct 22, 202633.6433.7433.6433.7433.74664
Oct 21, 202634.0534.0634.0334.0634.07635
Oct 20, 202634.0034.0233.9333.9833.98826
Oct 19, 202633.8233.8233.7133.7233.722.01K
Oct 16, 202633.9833.9833.8833.8833.88610
Oct 15, 202633.8833.8833.8733.8733.87377
Oct 14, 202633.6833.7933.6833.7933.792.15K
Oct 13, 202633.9334.0733.9334.0734.07768
Oct 12, 202633.9033.9033.8733.8733.87363
Oct 9, 202633.7933.8833.7933.8833.882.72K
Oct 8, 202633.5933.7633.5933.7633.76193
Oct 7, 202633.5533.6433.5533.5833.582.08K
Oct 6, 202633.9733.9733.9133.9133.9110.30K
Oct 5, 202633.7033.8933.7033.8733.87907
Oct 2, 202633.6933.7333.6933.7333.73587
Oct 1, 202633.4233.4233.4233.4233.42217
Sep 30, 202633.4233.4233.4233.4233.4229
Sep 29, 202633.4833.5233.4133.4933.499.91K
Sep 28, 202633.7333.7333.5933.5933.59295
Sep 25, 202633.8033.8233.7733.7733.772.13K
Sep 24, 202633.6033.6133.6033.6133.61662
Sep 23, 202633.6933.6933.6933.6933.69478
Sep 22, 202634.0234.0734.0234.0434.042.07K
Sep 21, 202634.0134.0133.9233.9233.92429
Sep 18, 202633.9633.9633.8933.9333.93566
Sep 17, 202634.2734.2734.2334.2334.23376
Sep 16, 202634.1134.1833.8533.8533.851.15K
Sep 15, 202633.9433.9433.9433.9433.9441
Sep 14, 202634.0734.1034.0134.0134.01874
Sep 11, 202634.3434.3434.3434.3434.3467
Sep 10, 202634.0034.0333.9533.9533.954.91K
Sep 9, 202634.3634.3634.3334.3334.334.31K
Sep 8, 202634.6034.6034.5134.5134.51403
Sep 4, 202634.6034.6434.6034.6234.617.13K
Sep 3, 202634.6234.6234.6234.6234.6156
Sep 2, 202634.3834.3834.3534.3534.35440
Sep 1, 202634.3534.3534.2234.2234.22436
Aug 31, 202634.3634.3934.3534.3934.39741
Aug 28, 202634.4634.4634.4634.4634.46300
Aug 27, 202634.8134.8134.8134.8134.8197
Aug 26, 202634.8134.8134.7834.7834.78245
Aug 25, 202634.7234.7734.7234.7734.76323
Aug 24, 202634.6334.6334.6334.6334.63326
Aug 21, 202634.7734.7734.7734.7734.7791
Aug 20, 202634.4734.4734.4734.4734.47170
Aug 19, 202634.6534.6534.5834.5834.58156
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 28, 2026. Data sources and methodology

Understanding Historical ETF Price Data & OHLC Metrics

Open Price
The price at which the ETF opened for trading at the start of the trading session.
High Price
The highest price at which the ETF traded during the trading session.
Low Price
The lowest price at which the ETF traded during the trading session.
Close Price
The final price when trading closed for the session.
Adjusted Close Price
The closing price adjusted for corporate actions such as dividends, stock splits, and rights offerings. Used for accurate long-term historical price analysis and return calculations.
Volume
The total number of shares traded during the session, indicating trading activity and liquidity.

Using Historical Prices for Technical Analysis

Traders and investors use historical price data to identify patterns, support and resistance levels, and price trends. By analyzing OHLC values across different intervals, you can spot key market signals.

Trading Ranges
High and Low prices reveal daily and weekly volatility patterns, helping identify potential breakout or consolidation zones.
Price Momentum
Close price changes across intervals indicate bullish or bearish activity and overall trend direction.
Volume Confirmation
Trading volume validates price movements and trend strength. High volume typically confirms significant price changes.
Long-term Trends
Monthly and yearly intervals reveal major price patterns and cycles, useful for position trading and portfolio analysis.

Frequently Asked Questions About Alpha Architect Global Factor Equity ETF Historical Prices

What is OHLC data for AAVM?

OHLC stands for Open, High, Low, Close - the four key price points for AAVM during each trading period. Open is the first trade price, High is the maximum price reached, Low is the minimum price, and Close is the final trade price for the period.

What is adjusted close price for AAVM?

The adjusted close price for AAVM is the closing price modified to account for corporate actions like stock splits and dividend distributions. This provides accurate historical price comparison for long-term analysis.

How far back does AAVM price history go?

AAVM historical price data is available from the ETF's inception on May 2, 2017. Use the "Max" time period option to view all available historical data, or select specific periods like 1 year, 5 years, or 10 years.

What time intervals are available for AAVM data?

AAVM historical data is available in multiple intervals: daily (individual trading days), weekly (week-ending prices), monthly (month-end prices), quarterly (quarter-end prices), and yearly (year-end prices).

Why is trading volume important for AAVM?

Trading volume for AAVM indicates market activity and liquidity. High volume often confirms price trends, while low volume may suggest weak price movements. Volume analysis helps validate technical patterns and identify potential reversals.