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AdvisorShares Q Dynamic Growth ETF

QPXNYSEARCAAdvisorSharesAsset Allocation

$46.80Today:- (-)1Y +7.15%

As of Oct 23, 2026 close

Assets (AUM)
$34.90M
Expense ratio
1.74%
Dividend yield
-
Holdings
7
52-week range
$41.16$49.85
Volume (live)
-
Avg. volume (3M)
2.29K

QPX ETF Historical Prices: AdvisorShares Q Dynamic Growth ETF

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

QPX Historical Price Chart: Trends & Patterns

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

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QPX 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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QPX 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, 202646.8346.8346.8346.8046.80520
Oct 22, 202647.0347.1546.8246.9746.972.24K
Oct 21, 202647.7247.9347.7247.9347.932.33K
Oct 20, 202647.5947.5947.5947.5947.59287
Oct 19, 202647.6747.6747.5347.5347.531.32K
Oct 16, 202647.3847.3847.1647.2947.291.74K
Oct 15, 202647.4448.0647.4448.0648.06500
Oct 14, 202648.2548.2547.5847.6747.67977
Oct 13, 202648.5648.6548.5448.6548.658.40K
Oct 12, 202648.5948.6148.5948.6148.61336
Oct 9, 202648.9048.9248.8848.8848.88802
Oct 8, 202648.5548.6048.5548.6048.60689
Oct 7, 202648.7048.8148.7048.8148.812.11K
Oct 6, 202649.1649.1649.1649.1649.16189
Oct 5, 202648.9449.0348.9448.9448.941.08K
Oct 2, 202648.7748.7748.7748.7748.77411
Oct 1, 202648.2348.5248.2348.5248.521.84K
Sep 30, 202648.4448.4448.2848.2848.28977
Sep 29, 202648.4048.4048.1548.3048.302.87K
Sep 28, 202648.1048.2748.1048.1548.152.49K
Sep 25, 202648.9248.9648.9048.9648.962.29K
Sep 24, 202648.7648.7648.7648.7648.76702
Sep 23, 202648.8548.8948.7648.7648.7610.67K
Sep 22, 202649.0449.2349.0449.2349.235.16K
Sep 21, 202649.0149.0649.0149.0649.06344
Sep 18, 202648.2048.3348.0348.3348.335.21K
Sep 17, 202648.1748.1748.1748.1748.1753
Sep 16, 202647.5347.5347.5347.5347.53210
Sep 15, 202647.6347.6347.6347.6347.63335
Sep 14, 202647.5548.0347.5547.8847.8811.53K
Sep 11, 202648.4748.5748.3848.4548.4645.87K
Sep 10, 202647.8848.0447.8647.8647.86815
Sep 9, 202648.2448.3748.2348.3448.34587
Sep 8, 202648.6048.6048.5048.5048.50269
Sep 4, 202648.7748.7748.7748.7748.77184
Sep 3, 202648.8348.8348.8148.8148.81649
Sep 2, 202648.0348.1548.0348.1548.15428
Sep 1, 202648.0548.2147.8447.9147.911.29K
Aug 31, 202648.6448.7248.6448.7248.72816
Aug 28, 202649.2949.2948.8848.9048.901.06K
Aug 27, 202649.2149.2549.1649.2549.251.09K
Aug 26, 202648.8548.8948.8548.8948.89349
Aug 25, 202648.7548.8748.7548.8748.879.42K
Aug 24, 202648.7648.7848.7148.7148.71964
Aug 21, 202648.8749.0248.7648.9948.991.07K
Aug 20, 202648.8648.8648.6648.6648.66343
Aug 19, 202649.1349.1348.9948.9948.99497
Aug 18, 202648.9148.9148.8748.8748.87242
Aug 17, 202649.7849.7849.6049.6049.60415
Aug 14, 202649.6949.7549.6949.7549.752.29K
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 AdvisorShares Q Dynamic Growth ETF Historical Prices

What is OHLC data for QPX?

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

The adjusted close price for QPX 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 QPX price history go?

QPX historical price data is available from the ETF's inception on Dec 27, 2020. 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 QPX data?

QPX 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 QPX?

Trading volume for QPX 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.