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Leverage Shares 2x Long SNAP Daily ETF

SNAGNASDAQLeverage SharesEquity

$6.54Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$2.11M
Expense ratio
0.75%
Dividend yield
-
Holdings
8
52-week range
$3.41$20.80
Volume (live)
-
Avg. volume (3M)
58.88K

SNAG ETF Historical Prices: Leverage Shares 2x Long SNAP Daily ETF

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

SNAG Historical Price Chart: Trends & Patterns

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

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SNAG 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 · Daily126 records
Showing 1-50 of 126
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SNAG 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, 20267.327.376.426.546.5465.65K
Oct 15, 20266.337.376.107.357.35161.05K
Oct 14, 20267.377.676.346.626.6274.27K
Oct 13, 20267.458.357.457.537.52224.78K
Oct 12, 20267.277.877.087.667.66155.32K
Oct 9, 20266.517.186.517.017.0169.58K
Oct 8, 20266.116.206.016.206.203.84K
Oct 7, 20265.826.245.796.106.1010.33K
Oct 6, 20265.796.145.786.056.0530.59K
Oct 5, 20265.885.945.685.685.6855.20K
Oct 2, 20265.536.075.435.685.6822.69K
Oct 1, 20265.325.795.245.755.7518.16K
Sep 30, 20265.395.795.315.315.3136.04K
Sep 29, 20265.015.164.905.165.1626.89K
Sep 28, 20264.905.254.904.954.9523.87K
Sep 25, 20265.275.525.275.345.3412.03K
Sep 24, 20265.195.355.055.355.3510.37K
Sep 23, 20265.535.535.035.125.1250.35K
Sep 22, 20266.156.155.785.795.7929.89K
Sep 21, 20265.646.295.645.945.9429.07K
Sep 18, 20265.805.805.595.595.6032.73K
Sep 17, 20266.286.685.845.875.87199.70K
Sep 16, 20266.176.325.926.006.0047.79K
Sep 15, 20266.356.726.286.286.2751.16K
Sep 14, 20265.986.455.806.246.2447.90K
Sep 11, 20265.936.055.655.915.9153.85K
Sep 10, 20265.115.665.115.665.6648.34K
Sep 9, 20265.165.404.985.205.20104.44K
Sep 8, 20265.605.615.425.475.4735.46K
Sep 4, 20265.905.905.525.565.5634.97K
Sep 3, 20266.006.706.006.066.0619.58K
Sep 2, 20265.435.995.435.845.8438.43K
Sep 1, 20265.405.565.215.315.3144.07K
Aug 31, 20265.905.965.545.795.7921.85K
Aug 28, 20265.735.795.475.565.5632.28K
Aug 27, 20265.495.795.265.335.3339.28K
Aug 26, 20266.656.695.305.505.50116.89K
Aug 25, 20265.836.635.836.616.6088.69K
Aug 24, 20265.235.825.235.815.8150.19K
Aug 21, 20265.205.255.035.215.2145.40K
Aug 20, 20265.205.234.875.205.2053.08K
Aug 19, 20264.875.304.875.245.2439.37K
Aug 18, 20265.265.344.965.005.0013.40K
Aug 17, 20265.315.315.005.105.1088.15K
Aug 14, 20265.525.765.425.595.5973.40K
Aug 13, 20265.255.415.145.375.3715.17K
Aug 12, 20265.805.805.165.175.1771.74K
Aug 11, 20265.615.935.585.815.8122.54K
Aug 10, 20265.385.585.385.515.5119.22K
Aug 7, 20265.345.525.305.405.4054.47K
Show:
of 126

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 Leverage Shares 2x Long SNAP Daily ETF Historical Prices

What is OHLC data for SNAG?

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

The adjusted close price for SNAG 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 SNAG price history go?

SNAG historical price data is available from the ETF's inception on Dec 17, 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 SNAG data?

SNAG 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 SNAG?

Trading volume for SNAG 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.