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Corgi BMNR 2x Daily ETF

BNMCBATSCorgiEquity

$43.93Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$733.74K
Expense ratio
0.45%
Dividend yield
-
Holdings
4
52-week range
$24.42$80.06
Volume (live)
-
Avg. volume (3M)
655

BNMC ETF Historical Prices: Corgi BMNR 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.

BNMC Historical Price Chart: Trends & Patterns

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

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BNMC 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 · Daily70 records
Showing 1-50 of 70
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BNMC 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, 202643.9343.9343.9343.9343.9384
Oct 15, 202651.9251.9251.9251.9251.9223
Oct 14, 202646.4047.1646.4046.8546.851.66K
Oct 13, 202652.7752.7752.7752.7752.77236
Oct 12, 202655.0055.0054.1754.1754.175.41K
Oct 9, 202654.9954.9954.9954.9954.9912
Oct 8, 202653.2555.5253.2555.5255.52322
Oct 7, 202658.0258.0258.0258.0258.0213
Oct 6, 202665.4165.4165.4165.4165.4174
Oct 5, 202669.0569.0569.0569.0569.0487
Oct 2, 202666.2066.2066.2066.2066.2017
Oct 1, 202668.6268.6268.6268.6268.6240
Sep 30, 202667.1567.1567.1567.1567.1513
Sep 29, 202669.0369.0369.0369.0369.0421
Sep 28, 202669.3569.3569.3569.3569.3529
Sep 25, 202673.4473.4473.1973.1973.19378
Sep 24, 202673.2177.2973.2176.1876.184.21K
Sep 23, 202673.2173.2173.2173.2173.2135
Sep 22, 202680.0680.0680.0680.0680.06134
Sep 21, 202677.8977.8976.7676.7676.76479
Sep 18, 202663.5566.9663.5566.2566.263.38K
Sep 17, 202657.3558.4956.3456.3456.34740
Sep 16, 202656.0056.0051.5051.5051.50522
Sep 15, 202657.0057.0055.4155.4155.41458
Sep 14, 202662.3066.7562.3066.7466.74397
Sep 11, 202663.6363.6363.0663.0663.06141
Sep 10, 202655.5760.0255.5759.4359.43329
Sep 9, 202658.9058.9058.9058.9058.9057
Sep 8, 202663.4763.4762.0162.0162.01126
Sep 4, 202662.4262.6562.4262.6562.65179
Sep 3, 202670.6770.6770.6770.6770.67139
Sep 2, 202654.9754.9754.9754.9754.9728
Sep 1, 202656.2356.2356.2356.2356.2366
Aug 31, 202666.5766.5766.5766.5766.5720
Aug 28, 202659.1159.1159.1159.1159.11115
Aug 27, 202670.3570.3569.1869.1869.18122
Aug 26, 202665.3865.8063.6365.5465.541.23K
Aug 25, 202666.4867.7763.6064.0064.00672
Aug 24, 202661.4861.4861.4861.4861.48331
Aug 21, 202655.7255.7254.1654.9454.941.20K
Aug 20, 202649.6649.6648.8848.8848.88748
Aug 19, 202639.7143.1939.7143.1943.19929
Aug 18, 202636.1136.1136.1136.1136.118
Aug 17, 202637.4837.4837.4837.4837.4813
Aug 14, 202635.4835.4835.4835.4835.48102
Aug 13, 202636.1836.2936.1836.2936.29148
Aug 12, 202634.7434.7434.7434.7434.7415
Aug 11, 202635.1535.1535.1535.1535.157
Aug 10, 202635.6235.6235.6235.6235.6212
Aug 7, 202638.2638.2638.2638.2638.2620
Show:
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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 BMNR 2x Daily ETF Historical Prices

What is OHLC data for BNMC?

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

The adjusted close price for BNMC 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 BNMC price history go?

BNMC historical price data is available from the ETF's inception on Jul 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 BNMC data?

BNMC 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 BNMC?

Trading volume for BNMC 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.