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Corgi Travel & Leisure ETF

WNDRBATSCorgiEquity

$26.04Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$634.80K
Expense ratio
0.35%
Dividend yield
-
Holdings
59
52-week range
$24.55$28.70
Volume (live)
-
Avg. volume (3M)
241

WNDR ETF Historical Prices: Corgi Travel & Leisure ETF

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

WNDR Historical Price Chart: Trends & Patterns

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

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WNDR 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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WNDR 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, 202626.0426.0426.0426.0426.048
Oct 15, 202626.2826.2826.2826.2826.28248
Oct 14, 202625.5225.5225.4425.5225.52244
Oct 13, 202625.7425.9025.7425.9025.90306
Oct 12, 202625.8725.8725.8325.8325.83459
Oct 9, 202625.9125.9125.9125.9125.91111
Oct 8, 202625.5825.7525.5825.7525.751.15K
Oct 7, 202625.5625.6325.5525.5825.581.59K
Oct 6, 202625.7125.8025.7125.8025.80410
Oct 5, 202625.5725.5725.5725.5725.57101
Oct 2, 202625.5925.5925.5925.5925.5923
Oct 1, 202625.4025.4025.4025.4025.40184
Sep 30, 202625.5225.5225.5225.5225.5216
Sep 29, 202625.6825.6825.6825.6825.6814
Sep 28, 202625.4725.4725.4725.4725.4710
Sep 25, 202625.5525.5525.5525.5525.5517
Sep 24, 202625.2325.2325.2325.2325.23156
Sep 23, 202625.2025.2325.1025.1025.10728
Sep 22, 202625.5725.5725.5625.5625.56227
Sep 21, 202625.7225.7225.7225.7225.7223
Sep 18, 202625.3725.3725.3725.3725.37111
Sep 17, 202625.5225.5225.5225.5225.5221
Sep 16, 202625.3825.5525.3825.5525.55255
Sep 15, 202625.5925.5925.5925.5925.59131
Sep 14, 202625.9525.9525.9525.9525.9548
Sep 11, 202625.8225.8225.8225.8225.8211
Sep 10, 202625.6025.6125.6025.6125.61129
Sep 9, 202625.7225.7225.7025.7025.70458
Sep 8, 202626.0226.0226.0226.0226.0218
Sep 4, 202626.5626.5626.5626.5626.5614
Sep 3, 202626.5826.5826.5826.5826.5825
Sep 2, 202626.7626.7626.6926.6926.69447
Sep 1, 202626.5026.5026.2926.2926.29731
Aug 31, 202626.8126.8126.8126.8126.8119
Aug 28, 202627.4427.4427.4427.4427.4411
Aug 27, 202627.4027.4027.4027.4027.4012
Aug 26, 202627.9027.9027.9027.9027.9022
Aug 25, 202628.1628.1628.1628.1628.169
Aug 24, 202628.0428.0428.0428.0428.04169
Aug 21, 202627.8227.8227.8227.8227.8213
Aug 20, 202627.6227.6227.6227.6227.62159
Aug 19, 202627.9527.9527.9527.9527.959
Aug 18, 202627.7527.7527.7527.7527.7520
Aug 17, 202627.8627.8627.8627.8627.8673
Aug 14, 202628.2528.2528.2528.2528.2514
Aug 13, 202628.3228.3228.3228.3228.3212
Aug 12, 202628.1728.1728.1728.1728.176
Aug 11, 202628.1228.1228.1228.1228.1210
Aug 10, 202628.0328.0328.0328.0328.03103
Aug 7, 202628.3428.4428.3428.4428.44520
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 Travel & Leisure ETF Historical Prices

What is OHLC data for WNDR?

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

The adjusted close price for WNDR 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 WNDR price history go?

WNDR 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 WNDR data?

WNDR 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 WNDR?

Trading volume for WNDR 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.