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PGIM Nasdaq-100 Buffer 12 ETF - April

PQAPNASDAQPGIMAlternative

$32.82Today:- (-)1Y +18.33%

As of Oct 16, 2026 close

Assets (AUM)
$30.80M
Expense ratio
0.50%
Dividend yield
0.02%
Holdings
-
52-week range
$27.83$33.27
Volume (live)
-
Avg. volume (3M)
2.60K

PQAP ETF Historical Prices: PGIM Nasdaq-100 Buffer 12 ETF - April

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

PQAP Historical Price Chart: Trends & Patterns

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

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PQAP 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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PQAP 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, 202632.7732.8232.7732.8132.811.31K
Oct 15, 202633.0233.0933.0133.0633.07688
Oct 14, 202633.0333.0333.0233.0233.028.42K
Oct 13, 202633.1833.1833.1833.1833.1814
Oct 12, 202633.2333.2433.2033.2033.202.77K
Oct 9, 202633.2533.2533.2333.2333.235.81K
Oct 8, 202633.1833.2033.1433.1533.153.87K
Oct 7, 202633.2533.2533.2233.2233.227.07K
Oct 6, 202633.2733.2733.2533.2733.275.75K
Oct 5, 202633.1933.1933.1933.1933.1915
Oct 2, 202633.1433.1433.1233.1233.124.83K
Oct 1, 202632.9633.0532.9633.0533.05387
Sep 30, 202633.0833.1033.0433.0433.044.89K
Sep 29, 202632.9532.9832.9532.9832.98566
Sep 28, 202632.9832.9832.9832.9832.9811
Sep 25, 202633.0433.0433.0333.0333.032.77K
Sep 24, 202633.0033.0032.9832.9832.983.17K
Sep 23, 202633.0133.0132.9632.9632.96321
Sep 22, 202633.0533.0533.0433.0433.04259
Sep 21, 202632.9933.0432.9932.9932.996.43K
Sep 18, 202632.7632.7732.7232.7732.77409
Sep 17, 202632.6432.7232.6432.7032.706.83K
Sep 16, 202632.5232.5232.5232.5232.526
Sep 15, 202632.5232.5232.5232.5232.526
Sep 14, 202632.5932.5932.5932.5932.5919
Sep 11, 202632.6732.6732.6532.6532.655.03K
Sep 10, 202632.5132.5132.5132.5132.516
Sep 9, 202632.6232.6232.6232.6232.626
Sep 8, 202632.6332.6932.6332.6432.643.20K
Sep 4, 202632.6432.6732.6432.6732.671.62K
Sep 3, 202632.5832.6732.5832.6732.672.87K
Sep 2, 202632.5132.5432.5132.5432.54242
Sep 1, 202632.4832.4832.4832.4832.486
Aug 31, 202632.5932.5932.4232.4232.425.22K
Aug 28, 202632.5632.5632.5532.5532.5512.49K
Aug 27, 202632.5432.6032.5432.6032.60207
Aug 26, 202632.4932.4932.4432.4432.442.60K
Aug 25, 202632.4432.4432.4132.4132.414.44K
Aug 24, 202632.3832.3832.3832.3832.3810
Aug 21, 202632.3732.4632.3732.4232.423.08K
Aug 20, 202632.3932.3932.3532.3532.353.40K
Aug 19, 202632.4132.4132.4132.4132.417
Aug 18, 202632.3932.3932.3932.3932.397
Aug 17, 202632.5732.5732.5432.5432.5451.26K
Aug 14, 202632.5432.5432.5432.5432.541.99K
Aug 13, 202632.5232.5632.5232.5432.543.01K
Aug 12, 202632.4432.4832.4432.4532.453.49K
Aug 11, 202632.2532.3432.2532.3432.34589
Aug 10, 202632.3332.3632.3332.3632.36425
Aug 7, 202632.2832.3432.2832.3432.34438
Show:
of 126

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 PGIM Nasdaq-100 Buffer 12 ETF - April Historical Prices

What is OHLC data for PQAP?

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

The adjusted close price for PQAP 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 PQAP price history go?

PQAP historical price data is available from the ETF's inception on Dec 26, 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 PQAP data?

PQAP 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 PQAP?

Trading volume for PQAP 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.