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PGIM Nasdaq-100 Buffer 12 ETF - October

PQOCNASDAQPGIMAlternative

$31.72Today:- (-)1Y +14.47%

As of Oct 16, 2026 close

Assets (AUM)
$27.40M
Expense ratio
0.50%
Dividend yield
0.00%
Holdings
-
52-week range
$27.16$32.96
Volume (live)
-
Avg. volume (3M)
3.86K

PQOC ETF Historical Prices: PGIM Nasdaq-100 Buffer 12 ETF - October

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

PQOC Historical Price Chart: Trends & Patterns

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

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PQOC 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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PQOC 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, 202631.7331.7331.7231.7231.722.65K
Oct 15, 202632.1032.1932.1032.1932.19487
Oct 14, 202632.2032.2132.1532.1832.1823.47K
Oct 13, 202632.6032.6032.5132.5632.562.40K
Oct 12, 202632.5832.5932.5632.5732.579.96K
Oct 9, 202632.7332.7932.7332.7332.731.76K
Oct 8, 202632.8132.8132.6332.6332.6312.23K
Oct 7, 202632.8732.9032.8732.9032.907.59K
Oct 6, 202632.9332.9632.8632.8732.877.18K
Oct 5, 202632.6832.7932.6832.7632.763.94K
Oct 2, 202632.6232.6432.6032.6132.611.63K
Oct 1, 202632.4532.4832.3032.4632.4610.38K
Sep 30, 202632.4032.4132.3832.3832.386.38K
Sep 29, 202632.3832.3832.3832.3832.3815
Sep 28, 202632.3832.3832.3732.3732.37245
Sep 25, 202632.3332.3932.3132.3732.374.87K
Sep 24, 202632.3832.3832.3532.3532.353.02K
Sep 23, 202632.3432.3432.3432.3432.3416
Sep 22, 202632.3032.3432.3032.3432.34717
Sep 21, 202632.3632.3632.3332.3332.339.53K
Sep 18, 202632.2632.2632.2632.2632.2614
Sep 17, 202632.2132.2132.1932.1932.19567
Sep 16, 202631.9931.9931.9931.9931.9917
Sep 15, 202631.9731.9731.9731.9731.9710
Sep 14, 202632.0432.0432.0432.0432.0431
Sep 11, 202632.1232.1232.1032.1032.104.00K
Sep 10, 202631.9331.9331.9331.9331.9310
Sep 9, 202632.0232.0232.0232.0232.0210
Sep 8, 202632.0432.1032.0432.0532.052.85K
Sep 4, 202632.1032.1032.0532.0532.052.55K
Sep 3, 202632.0232.0232.0232.0232.029
Sep 2, 202631.8431.8931.8431.8931.89250
Sep 1, 202631.8431.8431.8431.8431.849
Aug 31, 202631.9731.9731.9231.9231.924.67K
Aug 28, 202631.9531.9531.9331.9331.9312.50K
Aug 27, 202631.9631.9631.9631.9631.969
Aug 26, 202631.8631.8631.8231.8231.822.49K
Aug 25, 202631.8031.8031.7631.7631.764.07K
Aug 24, 202631.7031.7031.7031.7031.7015
Aug 21, 202631.7931.7931.7531.7531.753.51K
Aug 20, 202631.7031.7031.6631.6631.662.61K
Aug 19, 202631.7731.7731.7731.7731.779
Aug 18, 202631.7531.7531.7531.7531.759
Aug 17, 202631.9131.9131.8931.8931.8952.36K
Aug 14, 202631.8831.8831.8631.8631.862.69K
Aug 13, 202631.8931.8931.8631.8631.862.83K
Aug 12, 202631.8231.8231.7931.7931.792.75K
Aug 11, 202631.6831.6831.6831.6831.689
Aug 10, 202631.7331.7331.6831.6831.68716
Aug 7, 202631.6131.6831.6131.6831.683.31K
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 - October Historical Prices

What is OHLC data for PQOC?

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

The adjusted close price for PQOC 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 PQOC price history go?

PQOC 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 PQOC data?

PQOC 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 PQOC?

Trading volume for PQOC 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.