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Cambria Global EW ETF

GEWNASDAQCambriaEquity

$55.39Today:- (-)1Y +10.38%

As of Oct 16, 2026 close

Assets (AUM)
$139.77M
Expense ratio
0.30%
Dividend yield
1.58%
Holdings
455
52-week range
$49.20$58.87
Volume (live)
-
Avg. volume (3M)
262

GEW ETF Historical Prices: Cambria Global 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.

GEW Historical Price Chart: Trends & Patterns

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

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GEW 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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GEW 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 16, 202655.3955.3955.3955.3955.3951
Oct 15, 202655.3055.3055.3055.3055.3042
Oct 14, 202655.2755.2755.2755.2755.277
Oct 13, 202655.8455.8455.7155.7155.71241
Oct 12, 202655.6755.6755.6755.6755.6712
Oct 9, 202655.6755.6755.6755.6755.6729
Oct 8, 202655.2155.2155.2155.2155.2117
Oct 7, 202655.2355.2355.2355.2355.2316
Oct 6, 202655.6955.6955.6955.6955.6917
Oct 5, 202655.3855.3855.3855.3855.3814
Oct 2, 202655.1555.1755.0955.0955.09350
Oct 1, 202654.7754.7754.7754.7754.7718
Sep 30, 202654.9254.9254.9254.9254.9281
Sep 29, 202655.1355.2255.1355.2055.20294
Sep 28, 202655.3555.5255.3555.5255.52183
Sep 25, 202655.8155.8155.8155.8155.6349
Sep 24, 202655.5955.5955.5955.5955.4117
Sep 23, 202655.7655.7655.7155.7555.562.45K
Sep 22, 202656.2656.2656.2656.2656.0743
Sep 21, 202656.2156.2156.2156.2156.0215
Sep 18, 202655.6555.6555.6555.6555.4623
Sep 17, 202655.9255.9255.9255.9255.7479
Sep 16, 202655.3655.3655.3655.3655.183.41K
Sep 15, 202655.7155.7155.7155.7155.53195
Sep 14, 202656.1256.1256.1256.1255.9315
Sep 11, 202656.2056.2056.2056.2056.0215
Sep 10, 202655.7755.7755.7755.7755.5918
Sep 9, 202656.1856.1856.1856.1856.0014
Sep 8, 202656.5956.5956.5956.5956.4016
Sep 4, 202656.9556.9556.9556.9556.7716
Sep 3, 202657.0957.0957.0957.0956.90163
Sep 2, 202656.5256.5256.5256.5256.3380
Sep 1, 202656.3456.3456.3456.3456.1516
Aug 31, 202656.7856.7856.7856.7856.5916
Aug 28, 202656.9056.9056.9056.9056.7116
Aug 27, 202656.9956.9956.9956.9956.8114
Aug 26, 202656.9656.9656.9656.9656.77163
Aug 25, 202657.0257.0257.0257.0256.8415
Aug 24, 202656.8856.8856.8856.8856.6944
Aug 21, 202656.9556.9756.9556.9756.78186
Aug 20, 202656.6556.6556.5156.5156.32565
Aug 19, 202657.3857.3856.9056.9256.731.49K
Aug 18, 202656.7756.7756.7756.7756.5834
Aug 17, 202657.1357.1357.1357.1356.9434
Aug 14, 202657.2957.2957.2957.2957.10785
Aug 13, 202657.4057.4057.4057.4057.2124
Aug 12, 202657.2557.2557.2557.2557.0658
Aug 11, 202657.1857.1857.1857.1856.9915
Aug 10, 202657.2357.2357.2357.2357.0580
Aug 7, 202657.1657.1657.1657.1656.9713
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 16, 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 Global EW ETF Historical Prices

What is OHLC data for GEW?

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

The adjusted close price for GEW 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 GEW price history go?

GEW historical price data is available from the ETF's inception on Sep 24, 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 GEW data?

GEW 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 GEW?

Trading volume for GEW 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.