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Calamos Laddered Bitcoin Structured Alt Protection ETF

CBOLBATSCalamosAlternative

$23.96Today:- (-)1Y −3.22%

As of Oct 16, 2026 close

Assets (AUM)
$2.40M
Expense ratio
0.79%
Dividend yield
1.79%
Holdings
5
52-week range
$23.33$25.01
Volume (live)
-
Avg. volume (3M)
96

CBOL ETF Historical Prices: Calamos Laddered Bitcoin Structured Alt Protection ETF

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

CBOL Historical Price Chart: Trends & Patterns

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

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CBOL 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 · Daily126 records
Showing 1-50 of 126
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CBOL 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, 202623.9623.9623.9623.9623.967
Oct 15, 202623.9623.9623.9623.9623.9610
Oct 14, 202623.9223.9523.9223.9523.95808
Oct 13, 202623.9423.9823.9423.9823.98209
Oct 12, 202623.9823.9823.9823.9823.9850
Oct 9, 202623.9623.9623.9623.9623.968
Oct 8, 202623.9323.9323.9323.9323.9340
Oct 7, 202623.9823.9823.9823.9823.989
Oct 6, 202624.1424.1424.1424.1424.1450
Oct 5, 202624.1224.1324.1224.1324.13125
Oct 2, 202624.0924.0924.0924.0924.0914
Oct 1, 202624.0824.1024.0824.1024.10110
Sep 30, 202624.0724.0724.0724.0724.0720
Sep 29, 202624.0524.0524.0524.0524.0588
Sep 28, 202624.0524.0524.0524.0524.0577
Sep 25, 202624.0524.0524.0524.0524.0510
Sep 24, 202624.0524.0524.0524.0524.0511
Sep 23, 202624.0424.0424.0424.0424.0412
Sep 22, 202624.0924.0924.0924.0924.0912
Sep 21, 202624.0824.0824.0824.0824.0816
Sep 18, 202623.9623.9623.9623.9623.9618
Sep 17, 202623.8323.8623.8323.8623.86412
Sep 16, 202623.8323.8323.8323.8323.8312
Sep 15, 202623.8323.8323.8323.8323.839
Sep 14, 202623.9023.9023.9023.9023.9011
Sep 11, 202623.8923.8923.8523.8523.85110
Sep 10, 202623.8723.8723.8523.8523.85560
Sep 9, 202623.8823.8823.8823.8823.8831
Sep 8, 202623.8823.8823.8823.8823.8819
Sep 4, 202623.9023.9023.9023.9023.9010
Sep 3, 202623.9423.9423.9423.9423.949
Sep 2, 202623.8523.8523.8523.8523.859
Sep 1, 202623.8423.8423.8423.8423.8410
Aug 31, 202623.8923.8923.8923.8923.8974
Aug 28, 202623.8423.8423.8423.8423.8412
Aug 27, 202623.8923.8923.8923.8923.8930
Aug 26, 202623.8223.8623.8223.8623.86824
Aug 25, 202623.8823.8823.8623.8623.86109
Aug 24, 202623.9223.9223.8623.8623.86260
Aug 21, 202623.8123.8123.8123.8123.8120
Aug 20, 202623.6923.7123.6923.7123.72442
Aug 19, 202623.5223.6223.5223.6223.62431
Aug 18, 202623.5023.5223.5023.5223.52481
Aug 17, 202623.5223.5223.5223.5223.52112
Aug 14, 202623.4523.4823.4523.4823.48148
Aug 13, 202623.4823.5023.4823.5023.50126
Aug 12, 202623.4623.4923.4623.4923.49120
Aug 11, 202623.4723.4723.4523.4523.45210
Aug 10, 202623.4823.4923.4823.4923.49135
Aug 7, 202623.4923.5223.4923.5223.52684
Show:
of 126

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 Calamos Laddered Bitcoin Structured Alt Protection ETF Historical Prices

What is OHLC data for CBOL?

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

The adjusted close price for CBOL 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 CBOL price history go?

CBOL historical price data is available from the ETF's inception on Oct 13, 2025. 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 CBOL data?

CBOL 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 CBOL?

Trading volume for CBOL 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.