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Calamos Bitcoin Structured Alt Protection ETF - April

CBOABATSCalamosAlternative

$25.11Today:- (-)1Y −5.26%

As of Oct 16, 2026 close

Assets (AUM)
$5.02M
Expense ratio
0.69%
Dividend yield
2.30%
Holdings
4
52-week range
$23.91$26.83
Volume (live)
-
Avg. volume (3M)
168

CBOA ETF Historical Prices: Calamos Bitcoin Structured Alt Protection ETF - April

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

CBOA Historical Price Chart: Trends & Patterns

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

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CBOA 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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CBOA 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, 202625.1125.1125.1125.1125.11100
Oct 15, 202625.1125.1125.1125.1125.11100
Oct 14, 202625.0925.0925.0925.0925.09100
Oct 13, 202625.1425.1425.1425.1425.14100
Oct 12, 202625.1425.1425.1425.1425.14100
Oct 9, 202625.1225.1225.1225.1225.12100
Oct 8, 202625.0825.0825.0825.0825.08100
Oct 7, 202625.1025.1025.1025.1025.10100
Oct 6, 202625.2025.2025.2025.2025.20100
Oct 5, 202625.1825.1825.1825.1825.18300
Oct 2, 202625.1525.1525.1525.1525.15100
Oct 1, 202625.1025.1625.1025.1625.16200
Sep 30, 202625.1125.1125.1125.1125.11100
Sep 29, 202625.0925.0925.0925.0925.09100
Sep 28, 202625.0425.0425.0425.0425.04700
Sep 25, 202625.0925.0925.0925.0925.09100
Sep 24, 202625.0525.0725.0525.0725.07200
Sep 23, 202625.0725.0725.0725.0725.07100
Sep 22, 202625.1125.1125.1125.1125.11100
Sep 21, 202625.1125.1125.1125.1125.11100
Sep 18, 202624.9824.9824.9824.9824.98100
Sep 17, 202624.8224.8224.8224.8224.82100
Sep 16, 202624.7824.7824.7824.7824.78100
Sep 15, 202624.7824.7824.7824.7824.7813
Sep 14, 202624.8424.8724.8324.8724.872.89K
Sep 11, 202624.8224.8224.8224.8224.8288
Sep 10, 202624.8024.8024.8024.8024.8013
Sep 9, 202624.8324.8324.8324.8324.8314
Sep 8, 202624.8424.8424.8424.8424.84113
Sep 4, 202624.8824.8824.8824.8824.8814
Sep 3, 202624.9324.9324.9324.9324.9315
Sep 2, 202624.8024.8024.8024.8024.8013
Sep 1, 202624.8024.8024.8024.8024.8016
Aug 31, 202624.7824.8424.7824.8424.84480
Aug 28, 202624.7924.7924.7924.7924.7914
Aug 27, 202624.8924.8924.8624.8624.85584
Aug 26, 202624.8124.8124.8124.8124.8142
Aug 25, 202624.8024.8324.8024.8324.83130
Aug 24, 202624.7924.7924.7924.7924.7964
Aug 21, 202624.7424.7424.7424.7424.7424
Aug 20, 202624.6024.6024.6024.6024.6069
Aug 19, 202624.4424.4424.4424.4424.4413
Aug 18, 202624.2924.2924.2924.2924.2913
Aug 17, 202624.2824.2824.2624.2624.26559
Aug 14, 202624.1824.2124.1824.2124.21114
Aug 13, 202624.2224.2624.2224.2624.262.12K
Aug 12, 202624.2124.2324.2124.2324.23113
Aug 11, 202624.2224.2224.2224.2224.22163
Aug 10, 202624.2324.2624.2324.2624.26113
Aug 7, 202624.2924.2924.2924.2924.29118
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 Bitcoin Structured Alt Protection ETF - April Historical Prices

What is OHLC data for CBOA?

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

The adjusted close price for CBOA 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 CBOA price history go?

CBOA historical price data is available from the ETF's inception on Apr 6, 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 CBOA data?

CBOA 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 CBOA?

Trading volume for CBOA 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.