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Corgi Longevity Consumer ETF

YUNGBATSCorgiEquity

$27.36Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$929.40K
Expense ratio
0.35%
Dividend yield
-
Holdings
49
52-week range
$25.09$29.78
Volume (live)
-
Avg. volume (3M)
118

YUNG ETF Historical Prices: Corgi Longevity Consumer ETF

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

YUNG Historical Price Chart: Trends & Patterns

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

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YUNG 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 · Daily114 records
Showing 1-50 of 114
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YUNG 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, 202627.3527.3527.3527.3627.3617
Oct 15, 202627.6427.6427.6427.6427.64359
Oct 14, 202626.9626.9626.9626.9626.966
Oct 13, 202626.9126.9126.9126.9126.917
Oct 12, 202627.0227.0227.0227.0227.0258
Oct 9, 202626.9126.9126.9126.9126.916
Oct 8, 202626.5026.6326.5026.6326.63175
Oct 7, 202626.6326.6326.6326.6326.6320
Oct 6, 202626.8526.8526.8526.8526.8514
Oct 5, 202626.6526.6526.6526.6526.6548
Oct 2, 202626.7026.7026.7026.7026.7049
Oct 1, 202626.5226.5226.5226.5226.5210
Sep 30, 202626.6226.6226.6226.6226.629
Sep 29, 202626.8426.8426.8426.8426.849
Sep 28, 202626.7326.7326.7326.7326.739
Sep 25, 202626.7926.7926.7926.7926.7976
Sep 24, 202626.5326.5326.5326.5326.539
Sep 23, 202626.3926.3926.3926.3926.3950
Sep 22, 202626.7026.7026.7026.7026.7018
Sep 21, 202626.6226.6226.6226.6226.6292
Sep 18, 202626.3926.4526.3926.4226.42345
Sep 17, 202626.5626.5626.5626.5626.5612
Sep 16, 202626.7926.7926.5726.6526.65332
Sep 15, 202626.6226.6226.6226.6226.6212
Sep 14, 202626.9526.9526.9526.9526.9564
Sep 11, 202626.8226.8226.7526.7526.751.03K
Sep 10, 202626.6526.6526.6526.6526.6512
Sep 9, 202626.8826.8826.8826.8826.8813
Sep 8, 202627.2327.2427.1027.1027.10425
Sep 4, 202627.4627.4627.4427.4427.44135
Sep 3, 202627.3727.5527.3727.5527.55133
Sep 2, 202627.5027.5027.5027.5027.507
Sep 1, 202627.4227.4227.2527.2527.25721
Aug 31, 202627.3927.3927.3927.3927.3912
Aug 28, 202627.8127.8127.8127.8127.8187
Aug 27, 202628.1828.1827.9927.9927.991.01K
Aug 26, 202628.5028.5028.4028.4028.40290
Aug 25, 202628.5828.5828.5828.5828.5816
Aug 24, 202628.7528.7528.6328.6328.631.05K
Aug 21, 202628.5828.5828.5828.5828.5812
Aug 20, 202628.5028.5028.4128.4128.41385
Aug 19, 202628.8228.8228.8228.8228.8236
Aug 18, 202628.6328.6328.6328.6328.6314
Aug 17, 202628.5528.5528.5528.5528.5511
Aug 14, 202628.8128.8128.8128.8128.8149
Aug 13, 202629.1029.1328.9128.9128.91359
Aug 12, 202628.8428.8428.8428.8428.8424
Aug 11, 202628.6828.6828.6828.6828.6878
Aug 10, 202628.9528.9528.9528.9528.9512
Aug 7, 202629.0529.1529.0529.1529.15716
Show:
of 114

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 Corgi Longevity Consumer ETF Historical Prices

What is OHLC data for YUNG?

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

The adjusted close price for YUNG 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 YUNG price history go?

YUNG 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 YUNG data?

YUNG 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 YUNG?

Trading volume for YUNG 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.