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Volatility Premium Plus ETF

ZVOLBATSVolatility SharesAlternative

$7.84Today:- (-)1Y −30.37%

As of Oct 15, 2026 close

Assets (AUM)
$20.11M
Expense ratio
1.42%
Dividend yield
74.23%
Holdings
-
52-week range
$7.41$12.05
Volume (live)
-
Avg. volume (3M)
82.09K

ZVOL ETF Historical Prices: Volatility Premium Plus ETF

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

ZVOL Historical Price Chart: Trends & Patterns

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

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ZVOL 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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ZVOL 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, 20267.757.877.727.847.8484.77K
Oct 14, 20267.887.887.787.867.8699.38K
Oct 13, 20267.877.937.857.867.8659.08K
Oct 12, 20267.817.857.817.847.8463.78K
Oct 9, 20267.837.887.707.797.7953.98K
Oct 8, 20267.857.867.767.787.7840.88K
Oct 7, 20267.807.897.807.877.8737.28K
Oct 6, 20267.797.897.797.867.8682.51K
Oct 5, 20267.737.797.727.777.7751.38K
Oct 2, 20267.737.787.687.787.7850.06K
Oct 1, 20267.697.707.617.657.6557.27K
Sep 30, 20267.787.787.707.777.7747.17K
Sep 29, 20267.737.777.707.737.73123.07K
Sep 28, 20267.717.737.677.707.7066.57K
Sep 25, 20267.717.717.657.717.71100.02K
Sep 24, 20267.687.717.657.697.69114.43K
Sep 23, 20267.787.787.677.727.72147.45K
Sep 22, 20268.158.248.148.237.75105.66K
Sep 21, 20268.148.168.118.117.63202.91K
Sep 18, 20268.118.118.058.077.59126.97K
Sep 17, 20268.078.108.058.107.62139.32K
Sep 16, 20268.038.057.958.007.5395.58K
Sep 15, 20267.958.037.957.997.5287.29K
Sep 14, 20267.928.007.887.987.5166.42K
Sep 11, 20267.947.977.907.977.5074.64K
Sep 10, 20267.877.917.847.867.4051.13K
Sep 9, 20267.907.927.867.907.4363.16K
Sep 8, 20268.008.037.927.927.4588.53K
Sep 4, 20268.008.068.008.017.5434.55K
Sep 3, 20267.937.987.917.967.4947.36K
Sep 2, 20267.877.927.847.917.4482.89K
Sep 1, 20267.847.897.817.837.3783.26K
Aug 31, 20267.857.857.757.847.3840.82K
Aug 28, 20267.777.807.747.757.2953.13K
Aug 27, 20267.707.787.687.777.3144.59K
Aug 26, 20267.657.687.637.687.2335.64K
Aug 25, 20267.647.647.587.637.1848.98K
Aug 24, 20267.557.597.557.597.1429.81K
Aug 21, 20267.627.627.507.547.1073.50K
Aug 20, 20267.497.507.447.467.02163.36K
Aug 19, 20267.427.557.417.557.11104.89K
Aug 18, 20267.877.917.847.876.95112.55K
Aug 17, 20267.968.007.857.926.9998.65K
Aug 14, 20267.948.097.927.957.0245.54K
Aug 13, 20267.947.977.927.957.0227.30K
Aug 12, 20267.957.987.937.967.0320.93K
Aug 11, 20267.897.927.877.896.9736.92K
Aug 10, 20267.917.917.877.876.9540.17K
Aug 7, 20267.937.937.877.876.9522.14K
Aug 6, 20267.917.967.917.927.0018.40K
Show:
of 127

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 Volatility Premium Plus ETF Historical Prices

What is OHLC data for ZVOL?

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

The adjusted close price for ZVOL 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 ZVOL price history go?

ZVOL historical price data is available from the ETF's inception on Apr 18, 2023. 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 ZVOL data?

ZVOL 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 ZVOL?

Trading volume for ZVOL 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.