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WEBs Consumer Discretionary XLY Defined Volatility ETF

DVXYNASDAQWEBsEquity

$22.66Today:- (-)1Y −11.53%

As of Sep 2, 2026 close

Assets (AUM)
$208.55K
Expense ratio
0.89%
Dividend yield
-
Holdings
4
52-week range
$20.75$27.42
Volume (live)
-
Avg. volume (3M)
4

DVXY ETF Historical Prices: WEBs Consumer Discretionary XLY 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.

DVXY Historical Price Chart: Trends & Patterns

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

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DVXY 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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DVXY 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, 202622.6622.6622.6622.6622.66N/A
Aug 31, 202622.3622.3622.3622.3622.36N/A
Aug 28, 202622.3622.3622.3622.3622.36N/A
Aug 27, 202622.3622.3622.3622.3622.36N/A
Aug 26, 202622.6422.6422.6422.6422.646
Aug 25, 202622.6422.6422.6422.6422.646
Aug 24, 202622.6922.6922.6922.6922.696
Aug 21, 202622.6122.6122.6122.6122.618
Aug 20, 202622.3422.3422.3422.3422.347
Aug 19, 202622.7122.7122.7122.7122.716
Aug 18, 202622.3022.3022.3022.3022.299
Aug 17, 202622.3622.3622.3622.3622.36106
Aug 14, 202622.6822.6822.6822.6822.686
Aug 13, 202622.7322.7322.7322.7322.7412
Aug 12, 202622.6222.6222.6222.6222.627
Aug 11, 202622.8222.8222.8222.8222.827
Aug 10, 202622.9122.9122.9122.9122.911.18K
Aug 7, 202622.9422.9422.9422.9422.948
Aug 6, 202622.6122.6122.6122.6122.617
Aug 5, 202622.7322.7322.7322.7322.7313
Aug 4, 202622.6622.6622.6622.6622.656
Aug 3, 202622.6422.6422.6422.6422.648
Jul 31, 202622.2622.2622.2622.2622.268
Jul 30, 202621.4421.4421.4421.4421.446
Jul 29, 202621.2621.2621.2621.2621.266
Jul 28, 202621.4521.4521.4521.4521.457
Jul 27, 202621.1221.1221.1221.1221.126
Jul 24, 202620.8520.8520.8520.8520.857
Jul 23, 202620.7520.7520.7520.7520.7510
Jul 22, 202622.2122.2122.2122.2122.216
Jul 21, 202622.4322.4322.4322.4322.4315
Jul 20, 202622.3622.3622.3622.3622.367
Jul 17, 202622.5822.5822.5822.5822.5815
Jul 16, 202623.0123.0123.0123.0123.016
Jul 15, 202622.9222.9222.9222.9222.926
Jul 14, 202622.6822.6822.6822.6822.686
Jul 13, 202622.6922.6922.6922.6922.698
Jul 10, 202622.9622.9622.9622.9622.969
Jul 9, 202622.8822.8822.8822.8822.88105
Jul 8, 202622.5122.5722.5122.5722.57106
Jul 7, 202623.0023.0023.0023.0023.008
Jul 6, 202623.1223.1223.1223.1223.12104
Jul 2, 202622.9622.9722.9622.9722.97107
Jul 1, 202623.1623.1623.1623.1623.167
Jun 30, 202623.0123.0123.0123.0123.017
Jun 29, 202622.9722.9722.9722.9722.9719
Jun 26, 202622.4622.4622.4622.4622.464
Jun 25, 202622.1122.1122.1122.1122.1127
Jun 24, 202622.9222.9222.5122.5122.51427
Jun 23, 202622.2622.2622.2622.2622.26N/A
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 Consumer Discretionary XLY Defined Volatility ETF Historical Prices

What is OHLC data for DVXY?

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

The adjusted close price for DVXY 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 DVXY price history go?

DVXY 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 DVXY data?

DVXY 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 DVXY?

Trading volume for DVXY 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.