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Volatility Shares Trust XRP ETF

XRPINASDAQVolatility SharesCurrency

$7.23Today:- (-)1Y −47.99%

As of Oct 15, 2026 close

Assets (AUM)
$113.32M
Expense ratio
1.68%
Dividend yield
2.81%
Holdings
-
52-week range
$5.42$16.06
Volume (live)
-
Avg. volume (3M)
273.42K

XRPI ETF Historical Prices: Volatility Shares Trust XRP ETF

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

XRPI Historical Price Chart: Trends & Patterns

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

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XRPI 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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XRPI 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, 20266.967.246.917.237.2399.63K
Oct 14, 20267.307.347.117.147.14229.63K
Oct 13, 20267.337.417.327.377.3758.08K
Oct 12, 20267.457.507.287.357.35112.13K
Oct 9, 20267.487.497.407.457.4598.92K
Oct 8, 20267.547.587.117.397.39254.29K
Oct 7, 20267.757.767.627.647.64164.00K
Oct 6, 20268.138.228.078.098.09106.99K
Oct 5, 20268.188.218.028.108.10134.33K
Oct 2, 20268.298.377.807.937.93527.15K
Oct 1, 20267.988.137.968.098.09152.34K
Sep 30, 20268.298.318.018.048.04205.94K
Sep 29, 20268.358.417.968.068.06158.88K
Sep 28, 20268.248.287.978.008.00343.86K
Sep 25, 20268.598.658.398.498.49217.70K
Sep 24, 20268.098.348.068.258.25165.45K
Sep 23, 20268.528.568.048.088.08419.02K
Sep 22, 20268.368.738.328.628.61541.59K
Sep 21, 20268.048.217.978.178.16442.49K
Sep 18, 20267.187.667.187.667.65412.11K
Sep 17, 20267.067.146.987.027.01177.21K
Sep 16, 20266.937.066.787.057.04452.87K
Sep 15, 20267.787.787.007.047.03597.13K
Sep 14, 20267.578.047.547.967.95371.84K
Sep 11, 20267.377.767.327.397.38430.80K
Sep 10, 20267.377.427.297.327.31119.60K
Sep 9, 20267.797.807.607.607.59211.82K
Sep 8, 20267.597.887.537.747.73336.90K
Sep 4, 20267.677.737.537.627.61264.37K
Sep 3, 20267.578.037.558.018.00395.65K
Sep 2, 20267.207.347.207.307.29119.38K
Sep 1, 20267.467.537.297.387.36149.53K
Aug 31, 20267.457.587.407.567.55171.98K
Aug 28, 20267.737.867.437.507.49225.94K
Aug 27, 20267.788.047.757.957.94323.30K
Aug 26, 20267.527.647.427.527.511.11M
Aug 25, 20267.938.097.898.038.02303.30K
Aug 24, 20268.268.358.008.098.08707.24K
Aug 21, 20267.587.757.447.507.491.14M
Aug 20, 20266.567.336.506.736.721.06M
Aug 19, 20265.575.865.535.835.82315.68K
Aug 18, 20265.445.495.435.475.4586.64K
Aug 17, 20265.455.505.455.465.44132.66K
Aug 14, 20265.485.515.445.465.4467.64K
Aug 13, 20265.495.525.465.515.49100.89K
Aug 12, 20265.565.565.505.515.4976.31K
Aug 11, 20265.515.565.425.545.52151.22K
Aug 10, 20265.615.645.555.585.56106.87K
Aug 7, 20265.675.685.545.595.57102.97K
Aug 6, 20265.725.755.645.665.6479.86K
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 Shares Trust XRP ETF Historical Prices

What is OHLC data for XRPI?

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

The adjusted close price for XRPI 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 XRPI price history go?

XRPI historical price data is available from the ETF's inception on May 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 XRPI data?

XRPI 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 XRPI?

Trading volume for XRPI 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.