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Corgi Quantum Computing ETF

CQTMBATSCorgiEquity

$19.56Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
$16.71M
Expense ratio
0.35%
Dividend yield
-
Holdings
20
52-week range
$18.74$35.04
Volume (live)
-
Avg. volume (3M)
11.97K

CQTM ETF Historical Prices: Corgi Quantum Computing ETF

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

CQTM Historical Price Chart: Trends & Patterns

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

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CQTM 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 · Daily113 records
Showing 1-50 of 113
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CQTM 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, 202618.4419.5618.1519.5619.5624.05K
Oct 14, 202619.9219.9218.7418.7418.747.91K
Oct 13, 202620.2720.2720.1020.1020.101.90K
Oct 12, 202622.6822.6820.5420.5420.546.03K
Oct 9, 202621.8421.8421.5321.6521.6515.60K
Oct 8, 202622.4922.4921.5221.7321.7337.18K
Oct 7, 202622.8922.8922.5322.5922.596.81K
Oct 6, 202623.4323.6423.4323.4423.44724
Oct 5, 202623.4523.4822.9723.1923.192.93K
Oct 2, 202624.1224.1223.3723.3723.37812
Oct 1, 202623.7523.7623.4823.5723.571.06K
Sep 30, 202623.7424.2523.5023.5223.5212.26K
Sep 29, 202624.1424.1423.4723.4723.47593
Sep 28, 202623.5224.1823.5223.8823.881.41K
Sep 25, 202624.2224.2623.9824.2624.26903
Sep 24, 202623.3524.1523.3524.1524.15987
Sep 23, 202624.9324.9323.7323.7423.7419.48K
Sep 22, 202623.7323.8523.5423.8123.8122.40K
Sep 21, 202623.4723.9023.4723.8723.8728.74K
Sep 18, 202623.3923.3922.4522.8922.8913.38K
Sep 17, 202622.8123.4822.8123.2723.2721.92K
Sep 16, 202622.4422.4421.9022.1722.179.38K
Sep 15, 202622.1822.4921.9922.1822.1814.02K
Sep 14, 202622.0022.7022.0022.2522.2522.33K
Sep 11, 202623.0123.1322.7622.8222.8212.07K
Sep 10, 202622.8223.0822.6422.6422.6424.18K
Sep 9, 202623.7323.7323.1123.1623.169.62K
Sep 8, 202623.9724.5523.6923.8523.8521.54K
Sep 4, 202623.0523.2123.0023.1423.1410.13K
Sep 3, 202623.1923.3223.0023.0523.058.88K
Sep 2, 202622.7223.1822.5022.8522.859.19K
Sep 1, 202623.1423.2322.7622.8322.8311.80K
Aug 31, 202623.6623.9523.6323.6323.6310.68K
Aug 28, 202624.9224.9223.6223.6923.6920.12K
Aug 27, 202624.9125.2324.9125.0925.099.05K
Aug 26, 202624.9124.9124.3124.3624.368.19K
Aug 25, 202625.1625.3024.7525.2225.2210.89K
Aug 24, 202625.7025.7024.6124.6124.6122.27K
Aug 21, 202625.0026.3125.0026.2226.2242.48K
Aug 20, 202625.2525.3424.4024.7024.708.29K
Aug 19, 202625.9325.9324.9525.2925.2911.68K
Aug 18, 202626.2426.2625.8425.8425.8417.53K
Aug 17, 202627.1627.4126.7427.2027.2021.14K
Aug 14, 202627.0127.5627.0127.2627.2614.34K
Aug 13, 202626.8027.5626.8027.0127.0117.86K
Aug 12, 202626.2326.9726.0026.9726.9714.36K
Aug 11, 202625.5825.8425.4125.7925.799.65K
Aug 10, 202626.0126.0925.3925.3925.3918.59K
Aug 7, 202625.2026.0925.2026.0926.0913.82K
Aug 6, 202624.8325.4624.6924.8724.8715.67K
Show:
of 113

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 Corgi Quantum Computing ETF Historical Prices

What is OHLC data for CQTM?

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

The adjusted close price for CQTM 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 CQTM price history go?

CQTM historical price data is available from the ETF's inception on May 5, 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 CQTM data?

CQTM 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 CQTM?

Trading volume for CQTM 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.