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Corgi U.S. Equities 15% Structured Buffer ETF

CMAYBATSCorgiAlternative

$25.91Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$1.83M
Expense ratio
0.30%
Dividend yield
-
Holdings
8
52-week range
$24.85$26.19
Volume (live)
-
Avg. volume (3M)
1.33K

CMAY ETF Historical Prices: Corgi U.S. Equities 15% Structured Buffer ETF

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

CMAY Historical Price Chart: Trends & Patterns

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

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CMAY 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 · Daily117 records
Showing 1-50 of 117
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CMAY 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, 202625.9525.9525.9125.9125.9152.01K
Oct 15, 202626.1326.1326.1326.1326.136
Oct 14, 202626.0826.0826.0826.0826.086
Oct 13, 202626.1926.1926.1926.1926.196
Oct 12, 202626.1826.1826.1826.1826.186
Oct 9, 202626.1726.1726.1726.1726.176
Oct 8, 202626.1126.1126.1126.1126.118
Oct 7, 202626.1526.1526.1526.1526.158
Oct 6, 202626.1626.1626.1626.1626.168
Oct 5, 202626.1026.1026.1026.1026.108
Oct 2, 202626.0326.0326.0326.0326.0310
Oct 1, 202625.8825.9525.8825.9525.95206
Sep 30, 202625.9525.9525.9525.9525.956
Sep 29, 202625.9025.9525.9025.9525.95406
Sep 28, 202625.9225.9625.9225.9625.96306
Sep 25, 202626.0326.0326.0326.0326.036
Sep 24, 202625.9825.9825.9825.9825.986
Sep 23, 202625.9825.9825.9825.9825.986
Sep 22, 202625.9926.0425.9926.0426.04406
Sep 21, 202626.0326.0326.0326.0326.036
Sep 18, 202625.8125.8925.8125.8925.89606
Sep 17, 202625.8825.8825.8825.8825.886
Sep 16, 202625.7625.7625.7625.7625.766
Sep 15, 202625.8025.8425.8025.8425.8437.64K
Sep 14, 202625.9125.9125.9125.9125.916
Sep 11, 202625.9525.9525.9525.9525.956
Sep 10, 202625.8625.8625.8625.8625.856
Sep 9, 202625.9225.9225.9225.9225.926
Sep 8, 202625.9625.9625.9625.9625.966
Sep 4, 202626.0126.0126.0126.0126.016
Sep 3, 202626.0326.0326.0326.0326.03156
Sep 2, 202625.9325.9325.9325.9325.936
Sep 1, 202625.8725.8725.8725.8725.876
Aug 31, 202625.9525.9525.9525.9525.956
Aug 28, 202625.9725.9725.9725.9725.976
Aug 27, 202625.9725.9725.9725.9725.9711
Aug 26, 202625.9125.9125.9125.9125.916
Aug 25, 202625.8925.8925.8925.8925.896
Aug 24, 202625.8725.8725.8725.8725.876
Aug 21, 202625.8825.8825.8825.8825.8816
Aug 20, 202625.8425.8425.8425.8425.846
Aug 19, 202625.9025.9025.9025.9025.906
Aug 18, 202625.8725.8725.8725.8725.876
Aug 17, 202625.9125.9125.9125.9125.916
Aug 14, 202625.9425.9425.9425.9425.9411
Aug 13, 202625.9025.9425.9025.9425.94151
Aug 12, 202625.9425.9425.8925.8925.89158
Aug 11, 202625.8525.8525.8525.8525.857
Aug 10, 202625.8925.8925.8825.8825.88906
Aug 7, 202625.9025.9025.9025.9025.9016
Show:
of 117

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 U.S. Equities 15% Structured Buffer ETF Historical Prices

What is OHLC data for CMAY?

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

The adjusted close price for CMAY 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 CMAY price history go?

CMAY historical price data is available from the ETF's inception date. 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 CMAY data?

CMAY 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 CMAY?

Trading volume for CMAY 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.