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Corgi U.S. Industrials 2x Daily ETF

XLIXBATSCorgiEquity

$22.19Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$461.93K
Expense ratio
0.45%
Dividend yield
-
Holdings
4
52-week range
$22.01$28.18
Volume (live)
-
Avg. volume (3M)
236

XLIX ETF Historical Prices: Corgi U.S. Industrials 2x Daily ETF

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

XLIX Historical Price Chart: Trends & Patterns

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

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XLIX 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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XLIX 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, 202622.1922.1922.1922.1922.197
Oct 15, 202621.9622.2621.9622.2622.26135
Oct 14, 202622.0122.0122.0122.0122.0155
Oct 13, 202622.4822.4822.4822.4822.4859
Oct 12, 202622.6222.6222.6222.6222.6217
Oct 9, 202622.6622.6622.6622.6622.668
Oct 8, 202622.4522.4522.4522.4522.45173
Oct 7, 202622.2822.3322.2822.3322.33574
Oct 6, 202623.3723.5123.3423.3423.34645
Oct 5, 202622.6023.0622.6022.9622.961.42K
Oct 2, 202622.9422.9422.9322.9322.931.23K
Oct 1, 202622.6022.6022.6022.6022.60255
Sep 30, 202622.8522.8522.2522.2522.25840
Sep 29, 202622.9522.9522.7622.7622.76345
Sep 28, 202622.8822.8822.6322.6322.63256
Sep 25, 202623.1123.1123.1123.1123.1133
Sep 24, 202622.6322.7322.6322.7322.73126
Sep 23, 202623.0623.0623.0623.0623.0616
Sep 22, 202623.1523.1523.1523.1523.1519
Sep 21, 202623.0523.0523.0523.0523.05170
Sep 18, 202622.8722.8722.8722.8722.87103
Sep 17, 202622.7222.7222.7222.7222.72110
Sep 16, 202622.6322.6322.6322.6322.6317
Sep 15, 202622.6222.6222.6222.6222.6214
Sep 14, 202622.9622.9622.9622.9622.9613
Sep 11, 202623.6323.6323.6323.6323.6364
Sep 10, 202623.1423.1423.1423.1423.1425
Sep 9, 202623.5423.5423.5423.5423.54174
Sep 8, 202624.2524.2524.2524.2524.2565
Sep 4, 202624.4724.4724.4724.4724.4733
Sep 3, 202624.2824.2824.2824.2824.2881
Sep 2, 202623.8323.8323.8323.8323.8335
Sep 1, 202623.8023.8023.8023.8023.80169
Aug 31, 202624.6024.6424.4624.5424.54524
Aug 28, 202625.1025.1025.1025.1025.1015
Aug 27, 202625.5925.5925.5925.5925.5911
Aug 26, 202626.0826.0826.0826.0826.0813
Aug 25, 202625.5125.5125.5125.5125.5132
Aug 24, 202625.6625.6625.6625.6625.66138
Aug 21, 202626.0726.0726.0726.0726.0722
Aug 20, 202625.9225.9225.9225.9225.9256
Aug 19, 202626.5326.5326.5326.5326.5314
Aug 18, 202627.1027.1027.1027.1027.1053
Aug 17, 202627.9127.9127.9127.9127.9188
Aug 14, 202627.9527.9527.9527.9527.9510
Aug 13, 202627.7627.7627.7627.7627.7644
Aug 12, 202627.8027.8027.8027.8027.80266
Aug 11, 202627.7327.7327.7327.7327.7336
Aug 10, 202627.4227.4227.4027.4027.40567
Aug 7, 202627.5927.5927.5927.5927.598
Show:
of 95

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 U.S. Industrials 2x Daily ETF Historical Prices

What is OHLC data for XLIX?

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

The adjusted close price for XLIX 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 XLIX price history go?

XLIX historical price data is available from the ETF's inception on Jun 2, 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 XLIX data?

XLIX 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 XLIX?

Trading volume for XLIX 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.