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Virtus US Dividend ETF

VUSNYSEARCAVirtus Investment PartnersEquity

$29.52Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$17.38M
Expense ratio
0.25%
Dividend yield
2.30%
Holdings
91
52-week range
$24.70$30.69
Volume (live)
-
Avg. volume (3M)
1.24K

VUS ETF Historical Prices: Virtus US Dividend ETF

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

VUS Historical Price Chart: Trends & Patterns

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

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VUS 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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VUS 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, 202629.5229.5229.5229.5229.5212
Oct 15, 202629.8029.8029.8029.8029.80105
Oct 14, 202629.7829.7829.7829.7829.7817
Oct 13, 202630.2030.2030.2030.2030.2028
Oct 12, 202630.2130.2130.2130.2130.21129
Oct 9, 202630.2430.2430.2330.2330.23228
Oct 8, 202630.2030.2030.2030.2030.2055
Oct 7, 202630.3230.3230.3230.3230.3195
Oct 6, 202630.4430.4430.4130.4130.41322
Oct 5, 202630.3130.3130.3130.3130.3134
Oct 2, 202630.2330.2330.2330.2330.2325
Oct 1, 202629.7429.9729.7429.9729.97695
Sep 30, 202630.0630.0629.8729.8729.871.63K
Sep 29, 202629.9429.9429.8629.8829.882.90K
Sep 28, 202630.1330.1329.9329.9329.935.57K
Sep 25, 202630.0730.0730.0730.0730.0856
Sep 24, 202629.8429.8429.8429.8429.8439
Sep 23, 202629.8529.8629.7929.7929.79582
Sep 22, 202630.0830.0830.0830.0830.0861
Sep 21, 202630.0130.1530.0130.1530.15263
Sep 18, 202630.0930.1430.0230.1429.842.01K
Sep 17, 202629.9029.9529.9029.9529.6521.12K
Sep 16, 202629.6429.6429.6429.6429.34132
Sep 15, 202629.8629.8629.8029.8029.50203
Sep 14, 202629.9329.9329.9329.9329.6379
Sep 11, 202630.3530.3530.2930.2929.99208
Sep 10, 202630.0330.0330.0330.0329.73114
Sep 9, 202630.3430.3430.2130.2129.91228
Sep 8, 202630.3430.3430.3430.3430.04163
Sep 4, 202630.5530.5530.5530.5530.2515
Sep 3, 202630.4730.4730.4730.4730.1766
Sep 2, 202630.2730.2730.2730.2729.9716
Sep 1, 202630.0830.0830.0830.0829.7839
Aug 31, 202630.2030.2030.2030.2029.9030
Aug 28, 202630.3830.3830.2530.2529.9415.00K
Aug 27, 202630.3830.3830.3830.3830.0729
Aug 26, 202630.2330.2330.2330.2329.9318
Aug 25, 202630.2330.2330.2330.2329.9382
Aug 24, 202630.1630.1630.1630.1629.8699
Aug 21, 202630.2330.2330.2330.2329.9226
Aug 20, 202630.1130.1130.1130.1129.81184
Aug 19, 202630.2830.2830.2830.2829.9819
Aug 18, 202630.3930.3930.3930.3930.0936
Aug 17, 202630.6930.6930.6930.6930.39108
Aug 14, 202630.6130.6130.6130.6130.3194
Aug 13, 202630.6530.6530.6030.6030.30158
Aug 12, 202630.5230.5230.5230.5230.2285
Aug 11, 202630.3230.3230.3230.3230.02235
Aug 10, 202630.3830.3830.3830.3830.0757
Aug 7, 202630.5230.5230.5230.5230.2192
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 Virtus US Dividend ETF Historical Prices

What is OHLC data for VUS?

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

The adjusted close price for VUS 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 VUS price history go?

VUS historical price data is available from the ETF's inception on Dec 1, 2025. 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 VUS data?

VUS 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 VUS?

Trading volume for VUS 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.