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WEBs Energy XLE Defined Volatility ETF

DVXENASDAQWEBsEquity

$42.40Today:- (-)1Y +68.60%

As of Sep 2, 2026 close

Assets (AUM)
$609.26K
Expense ratio
0.89%
Dividend yield
1.86%
Holdings
4
52-week range
$24.85$46.13
Volume (live)
-
Avg. volume (3M)
452

DVXE ETF Historical Prices: WEBs Energy XLE Defined Volatility ETF

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

DVXE Historical Price Chart: Trends & Patterns

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

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DVXE 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 · Daily95 records
Showing 1-50 of 95
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DVXE 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
Sep 2, 202642.4042.4042.4042.4042.40N/A
Aug 31, 202642.3042.3042.3042.3042.30N/A
Aug 28, 202642.3042.3042.3042.3042.30N/A
Aug 27, 202642.3042.3042.3042.3042.30N/A
Aug 26, 202642.6842.6841.9542.3042.301.24K
Aug 25, 202643.1143.1143.1143.1142.3260
Aug 24, 202643.1143.1142.8843.1042.321.79K
Aug 21, 202643.6743.6743.6743.6742.88330
Aug 20, 202644.4544.4543.7043.7542.951.19K
Aug 19, 202644.0444.0443.4943.4942.70207
Aug 18, 202643.6443.6443.6443.6442.84159
Aug 17, 202642.5942.7242.4542.7241.94913
Aug 14, 202642.0942.1642.0942.1641.39212
Aug 13, 202641.4941.4941.4941.4940.7451
Aug 12, 202641.3041.3041.3041.3040.5490
Aug 11, 202640.5141.2540.5141.2540.50230
Aug 10, 202639.8540.6039.8540.6039.86330
Aug 7, 202638.2338.2338.2338.2337.5340
Aug 6, 202638.8638.8638.8638.8638.15143
Aug 5, 202638.0838.0838.0838.0837.38141
Aug 4, 202638.6039.3638.6039.2438.53635
Aug 3, 202639.6039.6039.2339.2338.52265
Jul 31, 202639.1240.2639.1240.2639.52496
Jul 30, 202638.9039.7438.9039.7138.98677
Jul 29, 202639.2139.2439.2139.2438.53122
Jul 28, 202639.2939.2938.2538.2937.60790
Jul 27, 202639.1339.1339.1339.1338.41104
Jul 24, 202640.5640.5640.5640.5639.82155
Jul 23, 202640.3340.3340.3340.3339.6068
Jul 22, 202640.1540.1540.1540.1539.4232
Jul 21, 202639.1539.4239.1539.4238.70147
Jul 20, 202638.8239.1938.8238.9338.221.13K
Jul 17, 202638.3338.7138.3338.7138.01268
Jul 16, 202637.9737.9737.9737.9737.27168
Jul 15, 202637.2437.5937.2437.5936.90118
Jul 14, 202637.9937.9937.9937.9937.30223
Jul 13, 202637.3637.8737.3637.8137.12702
Jul 10, 202635.9236.4935.9236.4935.83460
Jul 9, 202636.1836.1836.1836.1835.5233
Jul 8, 202636.6636.9536.6636.8836.20659
Jul 7, 202635.7436.1535.5236.1535.49223
Jul 6, 202634.9134.9134.7334.7334.10113
Jul 2, 202634.9334.9334.8034.8034.17114
Jul 1, 202634.5334.5334.4234.4233.79133
Jun 30, 202635.0535.0534.7134.7134.07184
Jun 29, 202635.3435.3535.0835.0834.44253
Jun 26, 202635.4635.4635.3335.3334.681.30K
Jun 25, 202635.3835.4735.3835.4734.82206
Jun 24, 202635.0135.1335.0135.1334.49112
Jun 23, 202635.4735.8535.4735.8535.20107
Show:
of 95

Source: Daily exchange trading data. Data as of Sep 2, 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 WEBs Energy XLE Defined Volatility ETF Historical Prices

What is OHLC data for DVXE?

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

The adjusted close price for DVXE 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 DVXE price history go?

DVXE historical price data is available from the ETF's inception on Jul 21, 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 DVXE data?

DVXE 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 DVXE?

Trading volume for DVXE 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.