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Cambria Global EW 2 ETF

GEQNASDAQCambriaEquity

$51.15Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$203.77M
Expense ratio
0.29%
Dividend yield
0.33%
Holdings
673
52-week range
$45.90$52.81
Volume (live)
-
Avg. volume (3M)
601

GEQ ETF Historical Prices: Cambria Global EW 2 ETF

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

GEQ Historical Price Chart: Trends & Patterns

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

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GEQ 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 · Daily91 records
Showing 1-50 of 91
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GEQ 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, 202651.1551.1551.1551.1551.1516
Oct 15, 202651.2651.5351.2651.5251.524.57K
Oct 14, 202651.0951.0951.0951.0951.098
Oct 13, 202651.5551.5551.5551.5551.5510
Oct 12, 202651.2751.3651.2351.2351.234.85K
Oct 9, 202651.2451.2451.2451.2451.2411
Oct 8, 202650.8750.8750.8750.8750.8715
Oct 7, 202651.2851.2851.2851.2851.2813
Oct 6, 202651.6151.6151.6151.6151.6156
Oct 5, 202651.3651.3651.3651.3651.3614
Oct 2, 202650.9350.9350.9350.9350.9318
Oct 1, 202650.6250.6250.6250.6250.62107
Sep 30, 202650.9250.9250.6450.6450.64226
Sep 29, 202645.9050.8045.9050.8050.801.91K
Sep 28, 202650.8150.8150.8150.8150.8113
Sep 25, 202651.3151.4451.3151.4451.26212
Sep 24, 202651.2051.2051.2051.2051.0310
Sep 23, 202651.2951.2951.2951.2951.1189
Sep 22, 202651.7651.7651.7651.7651.5911
Sep 21, 202651.7151.7151.7151.7151.5410
Sep 18, 202651.1051.1051.1051.1050.9312
Sep 17, 202651.2151.2151.2151.2151.0412
Sep 16, 202650.7450.7450.7450.7450.5712
Sep 15, 202651.0051.0051.0051.0050.8313
Sep 14, 202651.1251.3551.1051.3551.185.73K
Sep 11, 202651.5551.5551.5551.5551.3812
Sep 10, 202651.1151.1151.1151.1150.9427
Sep 9, 202651.4751.4751.4751.4751.2912
Sep 8, 202651.8151.8151.8151.8151.6315
Sep 4, 202652.1752.1752.1752.1752.0012
Sep 3, 202652.4052.4052.4052.4052.2212
Sep 2, 202651.8451.8851.6451.8851.713.89K
Sep 1, 202651.6851.6851.6851.6851.5012
Aug 31, 202652.1352.1352.1352.1351.9612
Aug 28, 202652.3152.3152.3152.3152.1312
Aug 27, 202652.4152.4152.4152.4152.2312
Aug 26, 202652.5452.5452.1752.1752.0011.25K
Aug 25, 202652.0352.4552.0352.4552.27934
Aug 24, 202652.0452.0452.0452.0451.87300
Aug 21, 202652.3352.3352.3352.3352.16206
Aug 20, 202651.8851.9451.8651.9451.761.16K
Aug 19, 202652.3652.3652.3652.3652.1812
Aug 18, 202652.0952.2352.0952.2352.064.68K
Aug 17, 202652.5952.5952.5952.5952.4112
Aug 14, 202652.6552.8152.6552.7452.561.11K
Aug 13, 202652.8052.8052.8052.8052.6212
Aug 12, 202652.5552.5552.5552.5552.3842
Aug 11, 202652.4352.4352.4352.4352.2512
Aug 10, 202652.4652.4652.4652.4652.2823
Aug 7, 202652.4652.4652.4652.4652.2812
Show:
of 91

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 2 ETF Historical Prices

What is OHLC data for GEQ?

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

The adjusted close price for GEQ 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 GEQ price history go?

GEQ historical price data is available from the ETF's inception on Jun 8, 2026. 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 GEQ data?

GEQ 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 GEQ?

Trading volume for GEQ 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.