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Solana ETF

SOLZNASDAQVolatility SharesCurrency

$10.25Today:- (-)1Y −45.06%

As of Oct 16, 2026 close

Assets (AUM)
$132.40M
Expense ratio
1.64%
Dividend yield
2.32%
Holdings
8
52-week range
$6.17$21.56
Volume (live)
-
Avg. volume (3M)
1.32M

SOLZ ETF Historical Prices: Solana ETF

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

SOLZ Historical Price Chart: Trends & Patterns

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

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SOLZ 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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SOLZ 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, 202610.4710.5510.1510.2510.25941.32K
Oct 15, 202610.0610.5610.0110.5110.511.56M
Oct 14, 202610.4310.5410.2510.3310.33742.82K
Oct 13, 202610.5910.7510.5410.6510.651.49M
Oct 12, 202610.9210.9810.6210.7310.731.82M
Oct 9, 202610.9510.9810.7610.7610.76486.56K
Oct 8, 202611.1411.1910.4810.8410.842.26M
Oct 7, 202611.5311.6311.4611.4911.491.84M
Oct 6, 202611.9312.1111.9211.9811.981.35M
Oct 5, 202611.9812.0411.8011.9311.93956.52K
Oct 2, 202612.1412.2611.6411.7211.721.25M
Oct 1, 202611.6111.8411.6011.7311.73754.72K
Sep 30, 202612.1612.2011.6311.6511.65615.16K
Sep 29, 202612.0512.0911.6611.8011.80706.95K
Sep 28, 202611.9211.9911.6711.7711.77829.47K
Sep 25, 202611.9312.2111.7912.1412.141.35M
Sep 24, 202611.3911.7311.3711.6611.66792.16K
Sep 23, 202611.6011.6511.2511.3911.391.23M
Sep 22, 202611.6711.8411.5611.7811.761.15M
Sep 21, 202611.7011.8811.6311.8011.782.86M
Sep 18, 202610.5611.4010.5511.4011.383.59M
Sep 17, 20269.9910.159.9110.0510.03702.23K
Sep 16, 20269.699.849.569.749.72959.28K
Sep 15, 202610.0610.069.539.749.721.80M
Sep 14, 202610.0710.3610.0610.2810.271.18M
Sep 11, 202610.0610.5410.0110.1610.141.41M
Sep 10, 20269.9110.009.839.919.89754.31K
Sep 9, 202610.4210.4210.1610.1810.16781.06K
Sep 8, 202610.2410.4410.1210.2910.271.29M
Sep 4, 202610.1010.1710.0010.1110.091.33M
Sep 3, 202610.1110.5510.0710.5010.481.83M
Sep 2, 20269.799.939.769.899.87712.87K
Sep 1, 202610.1510.229.809.969.941.47M
Aug 31, 202610.2510.4610.1810.3210.301.47M
Aug 28, 202610.4810.7510.1910.3110.292.88M
Aug 27, 202610.4810.9710.4010.9410.922.62M
Aug 26, 20269.609.709.499.669.641.52M
Aug 25, 20269.699.879.619.789.761.31M
Aug 24, 20269.589.749.419.659.633.09M
Aug 21, 20269.059.198.979.089.062.17M
Aug 20, 20268.698.788.598.728.712.62M
Aug 19, 20267.848.297.818.238.223.06M
Aug 18, 20267.617.747.607.727.691.20M
Aug 17, 20267.537.627.527.587.55924.72K
Aug 14, 20267.527.567.457.497.471.06M
Aug 13, 20267.597.657.507.617.581.19M
Aug 12, 20267.647.647.537.577.551.01M
Aug 11, 20267.587.617.457.557.531.04M
Aug 10, 20267.677.677.557.627.591.31M
Aug 7, 20267.387.437.327.397.371.57M
Show:
of 127

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 Solana ETF Historical Prices

What is OHLC data for SOLZ?

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

The adjusted close price for SOLZ 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 SOLZ price history go?

SOLZ historical price data is available from the ETF's inception on Mar 19, 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 SOLZ data?

SOLZ 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 SOLZ?

Trading volume for SOLZ 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.