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Calamos S&P 500 Structured Alt Protection ETF

CPSMNYSEARCACalamosAlternative

$29.68Today:- (-)1Y +4.89%

As of Oct 15, 2026 close

Assets (AUM)
$58.72M
Expense ratio
0.69%
Dividend yield
-
Holdings
-
52-week range
$27.75$29.71
Volume (live)
-
Avg. volume (3M)
2.83K

CPSM ETF Historical Prices: Calamos S&P 500 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.

CPSM Historical Price Chart: Trends & Patterns

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

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CPSM 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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CPSM 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 15, 202629.6429.6929.6429.6829.683.60K
Oct 14, 202629.6729.6729.6529.6529.65784
Oct 13, 202629.7029.7129.7029.7029.70797
Oct 12, 202629.7029.7029.7029.7029.70308
Oct 9, 202629.7029.7029.6929.7029.701.31K
Oct 8, 202629.7129.7129.6629.6729.67741
Oct 7, 202629.6829.6829.6729.6729.672.40K
Oct 6, 202629.6829.7129.6729.7129.711.61K
Oct 5, 202629.6229.6629.6229.6429.6425.45K
Oct 2, 202629.6329.6329.6329.6329.63153
Oct 1, 202629.5529.6129.5529.6129.611.04K
Sep 30, 202629.5929.6029.5929.6029.60716
Sep 29, 202629.5729.5929.5729.5829.58807
Sep 28, 202629.5529.5829.5529.5529.552.77K
Sep 25, 202629.5729.6129.5729.5929.593.79K
Sep 24, 202629.5929.5929.5929.5929.5915
Sep 23, 202629.5829.6029.5629.5829.589.18K
Sep 22, 202629.6129.6329.5829.6229.623.28K
Sep 21, 202629.5729.6129.5629.5929.594.36K
Sep 18, 202629.5029.5529.5029.5529.544.48K
Sep 17, 202629.5029.5329.4929.5329.53929
Sep 16, 202629.5329.5329.4829.4829.48363
Sep 15, 202629.5129.5129.5129.5129.51353
Sep 14, 202629.4829.5729.4829.5229.521.31K
Sep 11, 202629.5529.5529.5529.5529.55111
Sep 10, 202629.4829.5129.4829.5129.51190
Sep 9, 202629.5429.5429.5429.5429.54268
Sep 8, 202629.5229.5629.5129.5629.5611.11K
Sep 4, 202629.5829.5829.5829.5829.5833
Sep 3, 202629.6029.6129.5929.5929.592.68K
Sep 2, 202629.5029.5329.5029.5329.531.77K
Sep 1, 202629.5029.5429.4829.5029.514.29K
Aug 31, 202629.5429.5429.5429.5429.54160
Aug 28, 202629.6029.6029.5429.5429.54234
Aug 27, 202629.5529.5529.5529.5529.554.69K
Aug 26, 202629.5229.5229.5229.5229.5275
Aug 25, 202629.5529.5529.5229.5229.52823
Aug 24, 202629.4829.5429.4729.5029.50926
Aug 21, 202629.4829.4829.4829.4829.48186
Aug 20, 202629.5529.5629.4729.4729.472.60K
Aug 19, 202629.5229.5229.5229.5229.521.25K
Aug 18, 202629.5129.5529.5129.5129.51570
Aug 17, 202629.5429.5429.5029.5029.502.44K
Aug 14, 202629.5129.5829.5129.5429.54830
Aug 13, 202629.5129.5329.5129.5329.531.40K
Aug 12, 202629.5029.5029.5029.5029.50150
Aug 11, 202629.5029.5029.4829.4829.48567
Aug 10, 202629.5329.5329.4829.4829.48161
Aug 7, 202629.4629.4829.4529.4829.48836
Aug 6, 202629.5029.5029.4629.4629.46222
Show:
of 126

Source: Daily exchange trading data. Data as of Oct 15, 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 S&P 500 Structured Alt Protection ETF Historical Prices

What is OHLC data for CPSM?

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

The adjusted close price for CPSM 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 CPSM price history go?

CPSM historical price data is available from the ETF's inception on Apr 30, 2024. 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 CPSM data?

CPSM 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 CPSM?

Trading volume for CPSM 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.