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Corgi Lifestyle Brands ETF

STYLBATSCorgiEquity

$25.53Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
$360.16K
Expense ratio
0.35%
Dividend yield
-
Holdings
49
52-week range
$23.42$27.67
Volume (live)
-
Avg. volume (3M)
330

STYL ETF Historical Prices: Corgi Lifestyle Brands ETF

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

STYL Historical Price Chart: Trends & Patterns

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

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STYL 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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STYL 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, 202625.2625.5325.2625.5325.531.67K
Oct 14, 202624.5524.5524.5524.5524.557
Oct 13, 202624.7024.7424.7024.7424.74123
Oct 12, 202624.6324.6324.6324.6324.63227
Oct 9, 202624.3724.3724.3724.3724.3714
Oct 8, 202623.9424.2323.9424.2324.24118
Oct 7, 202624.0024.0024.0024.0023.9921
Oct 6, 202624.2824.2824.2824.2824.2813
Oct 5, 202624.1124.1124.1024.1024.10184
Oct 2, 202624.0224.0224.0224.0224.0219
Oct 1, 202624.1024.1024.1024.1024.1016
Sep 30, 202623.9523.9523.9523.9523.95104
Sep 29, 202624.1424.1424.1424.1424.1415
Sep 28, 202624.1524.1524.1524.1524.1537
Sep 25, 202624.1024.1024.0824.0824.08117
Sep 24, 202623.9023.9023.9023.9023.90112
Sep 23, 202623.8823.8823.8823.8823.8880
Sep 22, 202624.4024.4024.2524.2524.25148
Sep 21, 202623.8923.8923.8923.8923.8963
Sep 18, 202623.6923.6923.5923.5923.59821
Sep 17, 202623.8723.8723.7823.7823.78838
Sep 16, 202623.5923.5923.5923.5923.5922
Sep 15, 202623.7523.7523.4123.4123.422.20K
Sep 14, 202623.9024.0423.9024.0424.04324
Sep 11, 202623.9124.0723.8924.0724.071.09K
Sep 10, 202623.8523.8523.5523.6423.641.16K
Sep 9, 202624.0424.0424.0424.0424.0429
Sep 8, 202624.5224.5224.5224.5224.52135
Sep 4, 202624.9024.9024.9024.9024.90182
Sep 3, 202624.9124.9124.9124.9124.9118
Sep 2, 202624.8024.8024.8024.8024.8036
Sep 1, 202624.8524.8524.7724.7724.77125
Aug 31, 202625.2825.2825.2825.2825.2820
Aug 28, 202625.7225.7225.7225.7225.7235
Aug 27, 202625.3425.3425.3425.3425.3450
Aug 26, 202625.8325.8525.7625.7625.76825
Aug 25, 202625.3525.3525.3525.3525.3531
Aug 24, 202625.9925.9925.7725.8125.811.47K
Aug 21, 202625.8825.8825.8825.8825.8827
Aug 20, 202625.5525.5525.5525.5525.5413
Aug 19, 202626.1226.1226.1226.1226.12216
Aug 18, 202625.7025.7025.7025.7025.7023
Aug 17, 202625.7125.7125.7125.7125.7145
Aug 14, 202626.2826.2826.2826.2826.2815
Aug 13, 202626.2626.3126.2626.3126.31211
Aug 12, 202626.4826.5126.4626.4626.46309
Aug 11, 202626.9226.9226.9226.9226.9213
Aug 10, 202627.6427.6727.6427.6727.67377
Aug 7, 202627.5427.5427.5427.5427.5412
Aug 6, 202627.3427.3427.3427.3427.3440
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 Lifestyle Brands ETF Historical Prices

What is OHLC data for STYL?

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

The adjusted close price for STYL 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 STYL price history go?

STYL 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 STYL data?

STYL 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 STYL?

Trading volume for STYL 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.