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PGIM S&P 500 Quarterly Buffer 5 ETF

PQVBATSPGIMAlternative

$25.55Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$2.30M
Expense ratio
0.50%
Dividend yield
-
Holdings
-
52-week range
$24.75$25.88
Volume (live)
-
Avg. volume (3M)
209

PQV ETF Historical Prices: PGIM S&P 500 Quarterly Buffer 5 ETF

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

PQV Historical Price Chart: Trends & Patterns

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

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PQV 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 · Daily76 records
Showing 1-50 of 76
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PQV 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, 202625.5525.5525.5525.5525.55100
Oct 15, 202625.7125.7125.7125.7125.71100
Oct 14, 202625.7225.7225.6525.6525.65100
Oct 13, 202625.8025.8025.8025.8025.80100
Oct 12, 202625.8225.8225.7925.7925.79100
Oct 9, 202625.7925.7925.7925.7925.79100
Oct 8, 202625.7425.7425.7125.7125.71100
Oct 7, 202625.7625.7625.7625.7625.76100
Oct 6, 202625.7925.7925.7925.7925.79100
Oct 5, 202625.7225.7225.7225.7225.72100
Oct 2, 202625.6425.6425.6225.6225.62100
Oct 1, 202625.4625.5325.4625.5325.53200
Sep 30, 202625.7025.7025.5425.5425.54200
Sep 29, 202625.5925.5925.5725.5725.57200
Sep 28, 202625.6725.7125.5925.5925.59300
Sep 25, 202625.6725.8225.6725.8225.82400
Sep 24, 202625.6325.7025.6325.6825.68300
Sep 23, 202625.7925.7925.7025.7025.70200
Sep 22, 202625.8825.8825.8825.8825.88100
Sep 21, 202625.7225.8725.7225.8725.87100
Sep 18, 202625.4625.5125.4625.5125.511.50K
Sep 17, 202625.5125.5125.5125.5125.51100
Sep 16, 202625.3025.3025.3025.3025.30100
Sep 15, 202625.4825.4825.3925.3925.39764
Sep 14, 202625.5025.5025.5025.5025.507
Sep 11, 202625.5725.5725.5725.5725.57223
Sep 10, 202625.4325.4325.4325.4325.439
Sep 9, 202625.5325.5325.5325.5325.5314
Sep 8, 202625.6225.6225.6225.6225.6275
Sep 4, 202625.7125.7125.7125.7125.719
Sep 3, 202625.6925.8225.6925.8225.821.07K
Sep 2, 202625.6225.6225.5925.5925.597.29K
Sep 1, 202625.4725.5025.4725.5025.50111
Aug 31, 202625.6325.6325.6325.6325.6317
Aug 28, 202625.6725.6725.6725.6725.676
Aug 27, 202625.6825.6825.6825.6825.688
Aug 26, 202625.5925.5925.5925.5925.5936
Aug 25, 202625.5725.5725.5725.5725.577
Aug 24, 202625.5225.5225.5225.5225.528
Aug 21, 202625.5725.5725.5725.5725.576
Aug 20, 202625.4925.4925.4925.4925.496
Aug 19, 202625.6125.6125.6125.6125.61109
Aug 18, 202625.5925.5925.5925.5925.59107
Aug 17, 202625.6725.6725.6725.6725.676
Aug 14, 202625.7025.7025.7025.7025.706
Aug 13, 202625.7125.7125.7125.7125.717
Aug 12, 202625.6325.6325.6325.6325.638
Aug 11, 202625.5825.5825.5825.5825.587
Aug 10, 202625.6125.6125.6125.6125.617
Aug 7, 202625.6125.6125.6125.6125.6110
Show:
of 76

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 S&P 500 Quarterly Buffer 5 ETF Historical Prices

What is OHLC data for PQV?

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

The adjusted close price for PQV 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 PQV price history go?

PQV historical price data is available from the ETF's inception on Jun 29, 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 PQV data?

PQV 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 PQV?

Trading volume for PQV 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.