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Corgi MARA 2x Daily ETF

MHXBATSCorgiEquity

$7.50Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$257.41K
Expense ratio
0.45%
Dividend yield
-
Holdings
-
52-week range
$9.00$26.79
Volume (live)
-
Avg. volume (3M)
750

MHX ETF Historical Prices: Corgi MARA 2x 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.

MHX Historical Price Chart: Trends & Patterns

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

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MHX 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 · Daily68 records
Showing 1-50 of 68
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MHX 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, 20267.507.507.507.507.5017
Oct 15, 20268.349.298.349.249.24537
Oct 14, 20269.769.769.019.019.00766
Oct 13, 202611.5711.5711.2811.2811.28290
Oct 12, 202612.3512.3512.0512.0512.05129
Oct 9, 202612.5812.5812.5812.5812.58115
Oct 8, 202613.4213.4213.4213.4213.42103
Oct 7, 202614.2614.5514.2614.5514.55407
Oct 6, 202616.4116.4116.4116.4116.4179
Oct 5, 202616.9816.9816.9816.9816.98269
Oct 2, 202620.1720.1717.2417.2517.25879
Oct 1, 202617.0817.0817.0817.0817.08172
Sep 30, 202620.5820.5817.5917.5917.58460
Sep 29, 202620.8820.9119.6119.6119.61873
Sep 28, 202621.5622.1120.1520.1520.151.62K
Sep 25, 202620.5121.6420.5121.6421.64596
Sep 24, 202624.3124.3122.9822.9822.97107
Sep 23, 202624.8024.8024.4524.4524.45106
Sep 22, 202626.5026.5025.6125.6125.61207
Sep 21, 202625.7525.7524.0024.2324.231.51K
Sep 18, 202624.1024.1024.1024.1024.1041
Sep 17, 202619.3319.3318.7518.7518.75402
Sep 16, 202617.9917.9916.8117.1217.12463
Sep 15, 202617.6617.6617.6617.6617.66111
Sep 14, 202618.8918.8918.5618.7418.74736
Sep 11, 202620.5020.5020.1820.1820.18230
Sep 10, 202618.1519.8018.0518.5918.593.16K
Sep 9, 202619.6620.1219.6620.1220.12407
Sep 8, 202619.2720.4419.2419.8419.841.72K
Sep 4, 202618.0218.5818.0018.4818.484.25K
Sep 3, 202617.4519.5317.4519.2719.281.77K
Sep 2, 202615.6815.6815.6815.6815.687
Sep 1, 202615.2215.2215.2215.2215.228
Aug 31, 202616.8016.8016.8016.8016.8064
Aug 28, 202618.8218.8216.5716.5716.57259
Aug 27, 202621.5121.5120.6820.6820.68523
Aug 26, 202618.6818.9817.7718.5518.55813
Aug 25, 202620.8020.8020.8020.8020.8066
Aug 24, 202618.4119.1218.4118.5618.56662
Aug 21, 202618.7518.7518.7518.7518.75128
Aug 20, 202615.8818.4615.8818.4618.46734
Aug 19, 202614.0614.0614.0614.0614.0726
Aug 18, 202612.3012.3012.3012.3012.3090
Aug 17, 202614.4514.4514.4514.4514.4489
Aug 14, 202613.0013.0013.0013.0013.00201
Aug 13, 202613.0913.0913.0913.0913.09108
Aug 12, 202614.4814.4814.3614.3614.36397
Aug 11, 202614.5714.5714.5714.5714.57296
Aug 10, 202614.1414.1414.1414.1414.15255
Aug 7, 202615.7115.7115.7115.7115.7157
Show:
of 68

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 Corgi MARA 2x Daily ETF Historical Prices

What is OHLC data for MHX?

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

The adjusted close price for MHX 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 MHX price history go?

MHX historical price data is available from the ETF's inception on Jul 13, 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 MHX data?

MHX 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 MHX?

Trading volume for MHX 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.