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Corgi Growth & Technology 15% Structured Buffer ETF - June Series

QQJNBATSCorgiAlternative

$25.22Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
$1.27M
Expense ratio
0.30%
Dividend yield
-
Holdings
8
52-week range
$23.75$25.75
Volume (live)
-
Avg. volume (3M)
183

QQJN ETF Historical Prices: Corgi Growth & Technology 15% Structured Buffer ETF - June Series

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

QQJN Historical Price Chart: Trends & Patterns

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

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QQJN 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 · Daily95 records
Showing 1-50 of 95
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QQJN 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, 202625.2225.2225.2225.2225.226
Oct 14, 202625.3325.3325.2125.2125.21106
Oct 13, 202625.5025.5025.4925.4925.49506
Oct 12, 202625.5525.5525.5525.5525.556
Oct 9, 202625.6125.6125.6125.6125.616
Oct 8, 202625.6425.6425.5325.5325.53106
Oct 7, 202625.7125.7125.7125.7125.716
Oct 6, 202625.7525.7525.7525.7525.756
Oct 5, 202625.6625.6625.6625.6625.666
Oct 2, 202625.5525.5525.5525.5525.559
Oct 1, 202625.4225.4225.4225.4225.426
Sep 30, 202625.3925.3925.3925.3925.396
Sep 29, 202625.3425.3425.3425.3425.336
Sep 28, 202625.3025.3025.3025.3025.308
Sep 25, 202625.3925.4425.3925.4425.44506
Sep 24, 202625.3825.3825.3825.3825.376
Sep 23, 202625.3725.3725.3725.3725.376
Sep 22, 202625.4725.4725.4725.4725.476
Sep 21, 202625.3825.3825.3825.3825.386
Sep 18, 202625.0125.0125.0125.0125.016
Sep 17, 202624.9724.9724.9324.9324.93106
Sep 16, 202624.7524.7524.7524.7524.752.01K
Sep 15, 202624.7024.7024.7024.7024.706
Sep 14, 202624.9424.9424.8024.8024.802.01K
Sep 11, 202624.9124.9124.9124.9124.916
Sep 10, 202624.7924.7924.7924.7924.796
Sep 9, 202624.9124.9124.9124.9124.926
Sep 8, 202624.9524.9524.9524.9524.956
Sep 4, 202624.9624.9624.9624.9624.966
Sep 3, 202624.9324.9324.9324.9324.936
Sep 2, 202624.7924.7924.7924.7924.796
Sep 1, 202624.7524.7524.7524.7524.756
Aug 31, 202624.9224.9224.9224.9224.9219
Aug 28, 202624.9124.9124.9124.9124.916
Aug 27, 202624.9824.9824.9824.9824.986
Aug 26, 202624.8524.8524.7924.7924.783.01K
Aug 25, 202624.7724.7724.7724.7724.776
Aug 24, 202624.8524.8524.6924.6924.693.01K
Aug 21, 202624.8024.8024.8024.8024.806
Aug 20, 202624.7524.7524.7524.7524.766
Aug 19, 202624.8324.8324.8324.8324.836
Aug 18, 202624.8424.8424.8424.8424.846
Aug 17, 202625.0625.0625.0625.0625.066
Aug 14, 202625.0625.0625.0625.0625.066
Aug 13, 202625.0725.0725.0725.0725.066
Aug 12, 202624.9424.9424.9424.9424.947
Aug 11, 202624.8424.8424.8424.8424.837
Aug 10, 202624.8724.8724.8724.8724.878
Aug 7, 202624.8924.8924.8924.8924.896
Aug 6, 202624.7524.7524.7524.7524.756
Show:
of 95

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 Growth & Technology 15% Structured Buffer ETF - June Series Historical Prices

What is OHLC data for QQJN?

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

The adjusted close price for QQJN 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 QQJN price history go?

QQJN historical price data is available from the ETF's inception on May 31, 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 QQJN data?

QQJN 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 QQJN?

Trading volume for QQJN 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.