Skip to main content

Corgi ACMR 2x Daily ETF

ACMMBATSCorgiEquity

$5.18Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$402.00K
Expense ratio
0.45%
Dividend yield
-
Holdings
4
52-week range
$6.88$39.99
Volume (live)
-
Avg. volume (3M)
5.59K

ACMM ETF Historical Prices: Corgi ACMR 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.

ACMM Historical Price Chart: Trends & Patterns

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

Loading chart...

ACMM 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 · Daily81 records
Showing 1-50 of 81
Scroll for more columns
ACMM 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, 20265.755.825.185.185.188.25K
Oct 15, 20265.796.305.786.296.296.38K
Oct 14, 20267.677.676.886.956.9510.50K
Oct 13, 20267.578.067.577.847.8420.37K
Oct 12, 20268.978.978.718.718.701.02K
Oct 9, 20269.359.589.349.589.588.61K
Oct 8, 20269.5510.019.059.409.407.17K
Oct 7, 20269.6010.169.599.939.937.18K
Oct 6, 202611.4411.6210.8110.8110.817.05K
Oct 5, 202613.4913.4910.7911.0211.0219.58K
Oct 2, 202614.0014.0013.0013.2813.285.89K
Oct 1, 202613.3713.7312.8613.3313.336.86K
Sep 30, 202611.5712.8511.5712.5312.534.08K
Sep 29, 202611.2411.2610.7710.9510.952.09K
Sep 28, 202610.9511.3310.4211.1111.112.50K
Sep 25, 202611.6311.7211.3411.5211.524.60K
Sep 24, 202611.2511.2510.7011.1211.1210.68K
Sep 23, 202610.9012.9510.5512.4912.498.16K
Sep 22, 202610.3611.1610.3611.1611.165.89K
Sep 21, 20269.9010.279.9010.2710.272.98K
Sep 18, 20269.129.228.959.229.223.38K
Sep 17, 20268.679.028.659.029.028.22K
Sep 16, 20268.328.328.178.178.17341
Sep 15, 20268.608.607.787.957.951.95K
Sep 14, 20269.139.238.788.788.781.15K
Sep 11, 202610.8910.8910.2110.2110.212.29K
Sep 10, 202610.0910.5010.0910.3810.381.73K
Sep 9, 202611.9011.9010.7110.7110.722.31K
Sep 8, 202611.8511.9111.6011.6011.60632
Sep 4, 202610.2811.0510.2711.0511.053.92K
Sep 3, 20269.629.629.629.629.6270
Sep 2, 20269.719.719.719.719.71250
Sep 1, 20269.759.899.659.769.763.33K
Aug 31, 202611.2111.2110.6110.6110.61248
Aug 28, 202611.4911.5710.9911.0311.033.17K
Aug 27, 202613.0113.0112.8313.0113.012.85K
Aug 26, 202612.5212.6312.5212.6312.632.42K
Aug 25, 202612.6012.7912.4612.7912.792.15K
Aug 24, 202611.9912.7111.9912.0912.094.53K
Aug 21, 202611.9512.7611.8612.7612.761.74K
Aug 20, 202612.1112.4912.1012.4912.493.36K
Aug 19, 202614.8914.8912.4112.4112.419.78K
Aug 18, 202613.2114.6012.5014.6014.605.54K
Aug 17, 202614.0215.1114.0215.0215.027.88K
Aug 14, 202613.6813.6813.0013.3413.341.48K
Aug 13, 202613.6614.5013.4613.4613.4619.99K
Aug 12, 202614.5014.5013.6213.6213.626.88K
Aug 11, 202613.4013.4113.0813.1213.124.97K
Aug 10, 202614.3114.4213.0613.0613.064.58K
Aug 7, 202615.6815.6813.0314.5114.5031.81K
Show:
of 81

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 ACMR 2x Daily ETF Historical Prices

What is OHLC data for ACMM?

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

The adjusted close price for ACMM 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 ACMM price history go?

ACMM historical price data is available from the ETF's inception on Jun 23, 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 ACMM data?

ACMM 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 ACMM?

Trading volume for ACMM 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.