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Cambria US EW ETF

USEWBATSCambriaEquity

$56.17Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
$188.29M
Expense ratio
0.30%
Dividend yield
0.80%
Holdings
430
52-week range
$47.70$57.73
Volume (live)
-
Avg. volume (3M)
681

USEW ETF Historical Prices: Cambria US EW ETF

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

USEW Historical Price Chart: Trends & Patterns

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

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USEW 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 · Daily126 records
Showing 1-50 of 126
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USEW 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 15, 202656.0056.1756.0056.1756.171.31K
Oct 14, 202655.8055.8055.8055.8055.807
Oct 13, 202656.4056.4056.4056.4056.409
Oct 12, 202656.4156.4156.4156.4156.418
Oct 9, 202656.4556.4556.4556.4556.4440
Oct 8, 202655.8456.0955.8456.0956.092.69K
Oct 7, 202655.9756.0855.9156.0856.082.77K
Oct 6, 202656.5056.5056.3956.3956.394.59K
Oct 5, 202656.0856.0856.0856.0856.0716
Oct 2, 202655.7255.7255.7255.7255.7118
Oct 1, 202655.4955.4955.4955.4955.4958
Sep 30, 202655.6755.6755.3355.3355.33142
Sep 29, 202655.3855.5255.3855.5255.52325
Sep 28, 202657.0057.0055.4855.5555.55617
Sep 25, 202656.0656.1656.0656.1656.02264
Sep 24, 202656.0256.0255.9255.9255.78116
Sep 23, 202656.1056.1056.0356.0355.891.39K
Sep 22, 202656.4156.4356.4156.4356.291.38K
Sep 21, 202656.4256.4256.4256.4256.2812
Sep 18, 202655.6355.8355.6355.8355.691.64K
Sep 17, 202655.8655.8655.8655.8655.7213
Sep 16, 202655.9155.9155.4155.4155.27318
Sep 15, 202655.6555.6555.6555.6555.5116
Sep 14, 202655.9655.9655.9655.9655.8215
Sep 11, 202656.1456.1456.1456.1456.0019
Sep 10, 202655.8855.8855.7155.7155.572.60K
Sep 9, 202656.1356.1356.1356.1355.9912
Sep 8, 202656.4756.4756.4756.4756.3319
Sep 4, 202656.8156.8156.8156.8156.6713
Sep 3, 202656.9156.9156.9156.9156.7724
Sep 2, 202656.4056.4056.4056.4056.2613
Sep 1, 202656.3156.3156.1256.1255.98806
Aug 31, 202656.6756.6756.6756.6756.5313
Aug 28, 202656.8856.8856.8856.8856.7413
Aug 27, 202657.0757.0757.0757.0756.9313
Aug 26, 202657.0857.0857.0457.0456.90113
Aug 25, 202656.8956.8956.8956.8956.7434
Aug 24, 202656.7656.7856.7656.7856.641.32K
Aug 21, 202656.8256.9056.8256.9056.76144
Aug 20, 202656.6156.6156.6156.6156.4614
Aug 19, 202656.9956.9956.9956.9956.8537
Aug 18, 202656.9856.9856.9856.9856.8461
Aug 17, 202657.4557.4557.4157.4157.27129
Aug 14, 202657.7357.7357.6657.6657.51154
Aug 13, 202657.7057.7057.7057.7057.56718
Aug 12, 202657.2457.3357.2457.2457.10932
Aug 11, 202657.1357.1757.0557.0556.9113.92K
Aug 10, 202657.0257.0257.0257.0256.8814
Aug 7, 202656.8756.9756.8756.9756.83200
Aug 6, 202656.6256.6256.6256.6256.4814
Show:
of 126

Source: Daily exchange trading data. Data as of Oct 15, 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 Cambria US EW ETF Historical Prices

What is OHLC data for USEW?

OHLC stands for Open, High, Low, Close - the four key price points for USEW 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 USEW?

The adjusted close price for USEW 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 USEW price history go?

USEW historical price data is available from the ETF's inception on Dec 17, 2025. 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 USEW data?

USEW 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 USEW?

Trading volume for USEW 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.