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Leverage Shares 2x Long CRML Daily ETF

CRMUNASDAQLeverage SharesEquity

$1.56Today:- (-)

As of Oct 22, 2026 close

Assets (AUM)
$3.91M
Expense ratio
0.75%
Dividend yield
-
Holdings
8
52-week range
$1.32$15.25
Volume (live)
-
Avg. volume (3M)
802.47K

CRMU ETF Historical Prices: Leverage Shares 2x Long CRML 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.

CRMU Historical Price Chart: Trends & Patterns

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

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CRMU 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 · Daily123 records
Showing 1-50 of 123
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CRMU 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 22, 20261.561.561.561.561.56N/A
Oct 21, 20261.561.561.561.561.56N/A
Oct 20, 20261.561.561.561.561.56N/A
Oct 19, 20261.861.861.541.561.56478.67K
Oct 16, 20261.731.961.671.801.80453.52K
Oct 15, 20261.351.791.311.771.77622.96K
Oct 14, 20261.731.741.441.471.471.52M
Oct 13, 20261.681.741.591.621.62501.82K
Oct 12, 20261.691.801.621.751.75339.35K
Oct 9, 20261.801.801.651.761.76350.28K
Oct 8, 20261.821.851.701.771.77440.93K
Oct 7, 20261.961.981.891.911.91721.78K
Oct 6, 20262.122.202.062.072.07837.47K
Oct 5, 20262.192.201.972.152.151.42M
Oct 2, 20262.022.021.891.891.89553.32K
Oct 1, 20262.022.071.921.991.99727.08K
Sep 30, 20262.152.272.022.022.02727.29K
Sep 29, 20262.232.262.072.102.10816.11K
Sep 28, 20262.272.382.172.272.27761.68K
Sep 25, 20262.522.612.332.392.39625.68K
Sep 24, 20262.422.772.302.592.591.43M
Sep 23, 20262.792.792.262.322.321.80M
Sep 22, 20263.303.372.882.892.892.37M
Sep 21, 20263.103.633.033.453.453.83M
Sep 18, 20262.052.081.861.961.96840.22K
Sep 17, 20261.992.151.932.042.04392.59K
Sep 16, 20262.042.091.771.811.81530.58K
Sep 15, 20261.811.821.731.751.75120.67K
Sep 14, 20261.701.941.601.821.82248.59K
Sep 11, 20261.972.021.781.781.78616.05K
Sep 10, 20262.052.161.992.002.00324.90K
Sep 9, 20262.312.442.092.202.20372.71K
Sep 8, 20262.402.432.282.342.34314.52K
Sep 4, 20262.672.672.312.332.33250.13K
Sep 3, 20262.422.572.352.392.39240.31K
Sep 2, 20262.192.402.122.342.34283.39K
Sep 1, 20262.122.391.962.112.11197.87K
Aug 31, 20262.252.342.162.312.31110.38K
Aug 28, 20262.863.092.232.262.26410.12K
Aug 27, 20262.963.222.822.912.91340.68K
Aug 26, 20262.913.292.792.872.87882.87K
Aug 25, 20262.112.962.112.942.94747.10K
Aug 24, 20262.252.331.992.072.07333.78K
Aug 21, 20261.762.431.742.382.38819.70K
Aug 20, 20261.791.791.571.621.62184.64K
Aug 19, 20261.931.971.781.861.86289.44K
Aug 18, 20261.922.101.841.851.85243.43K
Aug 17, 20262.132.162.002.132.13194.69K
Aug 14, 20262.222.502.162.192.19213.65K
Aug 13, 20262.062.222.052.152.1573.02K
Show:
of 123

Source: Daily exchange trading data. Data as of Oct 22, 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 CRML Daily ETF Historical Prices

What is OHLC data for CRMU?

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

The adjusted close price for CRMU 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 CRMU price history go?

CRMU historical price data is available from the ETF's inception on Feb 9, 2026. 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 CRMU data?

CRMU 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 CRMU?

Trading volume for CRMU 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.