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GraniteShares Autocallable MARA ETF

MRANASDAQGraniteSharesAlternative

$16.82Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
$1.41M
Expense ratio
1.07%
Dividend yield
25.38%
Holdings
-
52-week range
$17.65$25.39
Volume (live)
-
Avg. volume (3M)
6.22K

MRA ETF Historical Prices: GraniteShares Autocallable MARA ETF

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

MRA Historical Price Chart: Trends & Patterns

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

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MRA 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 · Daily99 records
Showing 1-50 of 99
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MRA 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, 202616.8216.8216.8216.8216.82851
Oct 14, 202617.6517.6517.6517.6517.6532
Oct 13, 202619.5219.6819.4819.4819.483.60K
Oct 12, 202620.1820.1819.9319.9319.93409
Oct 9, 202620.6120.6120.0720.2120.2110.84K
Oct 8, 202620.6820.7620.4820.6220.625.89K
Oct 7, 202621.4221.4220.9721.1621.1610.01K
Oct 6, 202622.8222.8622.7522.7621.926.09K
Oct 5, 202622.5422.7522.2622.7521.9120.22K
Oct 2, 202623.6323.8622.5022.6721.8431.76K
Oct 1, 202622.4522.7022.2422.5821.7528.56K
Sep 30, 202622.8822.9922.4922.4921.6625.04K
Sep 29, 202623.2623.2623.1223.1222.274.09K
Sep 28, 202623.4023.5923.2323.2322.384.50K
Sep 25, 202623.3523.5723.2823.5222.654.12K
Sep 24, 202624.0024.0023.7023.7022.831.98K
Sep 23, 202624.1624.1624.0224.0223.132.67K
Sep 22, 202624.2424.2424.0924.0923.20621
Sep 21, 202623.8823.8823.6523.6922.81675
Sep 18, 202623.0224.0123.0223.9723.082.24K
Sep 17, 202621.6522.1721.6522.1721.352.88K
Sep 16, 202621.7721.8421.3821.3820.59367
Sep 15, 202621.6221.6221.5821.5820.78550
Sep 14, 202621.8721.8721.8721.8721.06642
Sep 11, 202622.6822.6822.3422.3421.52224
Sep 10, 202621.9921.9921.6821.7020.902.94K
Sep 9, 202621.8422.0821.7922.0021.192.29K
Sep 8, 202622.5023.2322.5022.9821.3210.17K
Sep 4, 202622.3422.4822.2322.2620.641.89K
Sep 3, 202622.6122.9022.6122.9021.24530
Sep 2, 202620.8921.3320.8621.2519.711.21K
Sep 1, 202620.9220.9220.8220.8819.37636
Aug 31, 202621.3921.3921.3921.3919.84161
Aug 28, 202621.4521.4621.0221.0419.523.56K
Aug 27, 202623.0023.1122.6022.6020.961.64K
Aug 26, 202621.9321.9321.3221.4919.93866
Aug 25, 202621.6822.3121.6822.1920.583.91K
Aug 24, 202621.2921.6021.2821.2819.732.29K
Aug 21, 202622.0822.0821.4521.5820.011.96K
Aug 20, 202621.4222.0821.4022.0820.482.60K
Aug 19, 202619.9019.9019.7219.7218.29115
Aug 18, 202618.7018.7218.2918.4017.06998
Aug 17, 202618.9319.5918.9319.5918.17896
Aug 14, 202618.4518.6518.4518.6517.30527
Aug 13, 202619.1119.1118.5918.5917.241.37K
Aug 12, 202619.1519.1519.1519.1517.76414
Aug 11, 202620.0320.0320.0320.0317.78267
Aug 10, 202619.7319.7619.4819.4817.29458
Aug 7, 202620.0520.0520.0520.0517.8056
Aug 6, 202620.9320.9320.9320.9318.58262
Show:
of 99

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 GraniteShares Autocallable MARA ETF Historical Prices

What is OHLC data for MRA?

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

The adjusted close price for MRA 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 MRA price history go?

MRA historical price data is available from the ETF's inception on May 26, 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 MRA data?

MRA 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 MRA?

Trading volume for MRA 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.