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Simplify Chinese Commodities Strategy No K-1 ETF

CCOMNYSEARCASimplifyCommodity

$25.84Today:- (-)

As of Oct 26, 2026 close

Assets (AUM)
$100.53M
Expense ratio
0.99%
Dividend yield
1.62%
Holdings
28
52-week range
$23.35$27.31
Volume (live)
-
Avg. volume (3M)
86

CCOM ETF Historical Prices: Simplify Chinese Commodities Strategy No K-1 ETF

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

CCOM Historical Price Chart: Trends & Patterns

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

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CCOM 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 · Daily127 records
Showing 1-50 of 127
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CCOM 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 26, 202625.8425.8425.8425.8425.8452
Oct 23, 202625.4125.9825.4125.9825.98120
Oct 22, 202624.6924.6924.6924.6924.699
Oct 21, 202624.3024.3024.3024.3024.3020
Oct 20, 202623.9323.9323.9323.9323.9357
Oct 19, 202624.5224.5224.5224.5224.5213
Oct 16, 202624.6524.6524.6524.6524.656
Oct 15, 202624.6624.6624.6624.6624.666
Oct 14, 202624.9124.9124.9124.9124.9138
Oct 13, 202625.1225.1225.1225.1225.1279
Oct 12, 202625.0125.0125.0125.0125.0165
Oct 9, 202625.0325.0325.0325.0325.0326
Oct 8, 202624.7024.7024.7024.7024.7014
Oct 7, 202623.7923.7923.7923.7923.79116
Oct 6, 202623.7923.7923.7923.7923.7926
Oct 5, 202623.7923.7923.7923.7923.7928
Oct 2, 202623.8023.8023.6523.8023.801.08K
Oct 1, 202623.7923.7923.7923.7923.7921
Sep 30, 202623.9123.9123.9123.9123.9126
Sep 29, 202623.7123.7123.5623.7023.69252
Sep 28, 202623.9723.9723.8923.8923.89233
Sep 25, 202623.8923.8923.8923.8923.8913
Sep 24, 202624.0324.0324.0324.0323.9366
Sep 23, 202623.8123.8123.8123.8123.7124
Sep 22, 202623.5823.5823.5823.5823.4919
Sep 21, 202623.5323.5323.5323.5323.4334
Sep 18, 202623.9223.9223.9223.9223.8237
Sep 17, 202624.3724.3724.3724.3724.2746
Sep 16, 202624.7024.7024.7024.7024.5932
Sep 15, 202624.6924.6924.6924.6924.5919
Sep 14, 202624.2624.2724.2624.2724.16209
Sep 11, 202624.1224.2924.1224.2924.19562
Sep 10, 202624.6824.6824.6824.6824.5899
Sep 9, 202624.7724.7724.7624.7624.65414
Sep 8, 202624.1224.1224.1224.1224.0210
Sep 4, 202623.7523.8723.7523.8723.77145
Sep 3, 202623.9524.0023.9223.9223.82298
Sep 2, 202624.1924.1923.9523.9523.86150
Sep 1, 202623.6924.3223.6924.0023.90732
Aug 31, 202623.8623.8623.8623.8623.7795
Aug 28, 202624.1924.1923.8823.8823.78415
Aug 27, 202624.0124.0124.0124.0123.9182
Aug 26, 202623.9523.9523.9523.9523.8517
Aug 25, 202623.9123.9123.9123.9123.8292
Aug 24, 202624.0024.0024.0024.0023.90127
Aug 21, 202624.0424.0424.0424.0423.9439
Aug 20, 202624.0524.0524.0524.0523.9516
Aug 19, 202623.9223.9223.9223.9223.8213
Aug 18, 202623.8423.8423.8423.8423.747
Aug 17, 202624.5424.5423.8923.8923.79373
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 26, 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 Simplify Chinese Commodities Strategy No K-1 ETF Historical Prices

What is OHLC data for CCOM?

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

The adjusted close price for CCOM 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 CCOM price history go?

CCOM historical price data is available from the ETF's inception on Jan 25, 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 CCOM data?

CCOM 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 CCOM?

Trading volume for CCOM 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.