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Ocean Park Domestic ETF

DUKQNYSEARCAOcean ParkEquity

$31.19Today:- (-)1Y +13.16%

As of Oct 23, 2026 close

Assets (AUM)
$13.26M
Expense ratio
0.98%
Dividend yield
0.29%
Holdings
13
52-week range
$26.36$32.49
Volume (live)
-
Avg. volume (3M)
6.28K

DUKQ ETF Historical Prices: Ocean Park Domestic ETF

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

DUKQ Historical Price Chart: Trends & Patterns

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

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DUKQ 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 · Daily126 records
Showing 1-50 of 126
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DUKQ 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 23, 202631.2031.2031.1931.1931.19286
Oct 22, 202631.3131.3431.3131.3431.34425
Oct 21, 202631.5131.6431.5131.6431.64415
Oct 20, 202631.3731.4631.3731.4631.46829
Oct 19, 202631.2931.2931.2631.2631.26219
Oct 16, 202631.4831.4831.0931.1531.151.80K
Oct 15, 202631.2931.5331.2931.5331.53587
Oct 14, 202631.4531.4531.2931.2931.29306
Oct 13, 202631.6831.7331.6831.7331.73208
Oct 12, 202631.7731.8031.6931.7131.713.01K
Oct 9, 202631.7631.8331.7631.8231.823.40K
Oct 8, 202631.6431.6631.5331.6231.629.43K
Oct 7, 202631.6331.7531.4931.7231.72142.92K
Oct 6, 202631.9331.9331.9131.9131.91215
Oct 5, 202631.5531.7631.5431.7631.762.08K
Oct 2, 202631.6531.6631.5431.5631.56672
Oct 1, 202631.1731.3831.1731.3331.333.97K
Sep 30, 202631.3831.3831.2331.2331.236.61K
Sep 29, 202631.3231.3231.2731.2731.27617
Sep 28, 202631.3731.3731.3031.3031.30571
Sep 25, 202631.5531.5831.5531.5831.58506
Sep 24, 202631.3831.4731.3831.4731.46233
Sep 23, 202631.5631.6331.5031.5031.493.09K
Sep 22, 202631.8631.8631.7931.7931.78513
Sep 21, 202631.6331.7431.6331.7431.731.40K
Sep 18, 202631.3331.3731.2731.3731.36475
Sep 17, 202631.3631.3831.3331.3731.361.37K
Sep 16, 202631.3131.3131.0931.0931.07315
Sep 15, 202631.2731.2731.2231.2231.21408
Sep 14, 202631.3831.3931.3731.3831.371.39K
Sep 11, 202631.5031.5331.4931.4931.48639
Sep 10, 202631.2731.3931.2331.2331.222.15K
Sep 9, 202631.6131.6231.5031.5031.493.38K
Sep 8, 202631.7831.8231.6931.6931.681.81K
Sep 4, 202631.9031.9331.8931.9031.892.74K
Sep 3, 202631.7731.9831.7731.9831.972.31K
Sep 2, 202631.6331.7131.6331.6831.671.76K
Sep 1, 202631.6231.6731.5231.5231.51748
Aug 31, 202631.8131.8431.7431.8431.831.77K
Aug 28, 202632.1432.1431.9431.9431.93317
Aug 27, 202632.0432.1332.0432.1332.12510
Aug 26, 202631.9431.9831.9431.9831.97269
Aug 25, 202631.9031.9431.9031.9431.93215
Aug 24, 202631.8331.8631.8231.8631.85856
Aug 21, 202631.9732.0431.9732.0432.032.05K
Aug 20, 202632.0632.0631.8831.8831.87553
Aug 19, 202632.1732.2032.1132.1132.10431
Aug 18, 202632.1832.1832.0332.0332.02576
Aug 17, 202632.4632.4632.3532.3532.341.18K
Aug 14, 202632.4832.4932.4432.4832.47781
Show:
of 126

Source: Daily exchange trading data. Data as of Oct 23, 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 Ocean Park Domestic ETF Historical Prices

What is OHLC data for DUKQ?

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

The adjusted close price for DUKQ 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 DUKQ price history go?

DUKQ historical price data is available from the ETF's inception on Jul 9, 2024. 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 DUKQ data?

DUKQ 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 DUKQ?

Trading volume for DUKQ 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.