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VanEck Real Estate TruSector ETF

TRURNASDAQVanEckEquity

$23.89Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$237.81K
Expense ratio
0.17%
Dividend yield
0.79%
Holdings
32
52-week range
$23.05$26.01
Volume (live)
-
Avg. volume (3M)
68

TRUR ETF Historical Prices: VanEck Real Estate TruSector ETF

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

TRUR Historical Price Chart: Trends & Patterns

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

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TRUR 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 · Daily72 records
Showing 1-50 of 72
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TRUR 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, 202623.8923.8923.8923.8923.897
Oct 15, 202623.7923.7923.7923.7923.797
Oct 14, 202623.5723.5723.5723.5723.576
Oct 13, 202623.7623.7623.7623.7623.767
Oct 12, 202623.8123.8123.8123.8123.816
Oct 9, 202623.4423.6223.4423.6223.62107
Oct 8, 202623.1823.1823.1823.1823.186
Oct 7, 202623.0523.0523.0523.0523.0540
Oct 6, 202623.3723.3723.3723.3723.3717
Oct 5, 202623.1123.1123.1123.1123.107
Oct 2, 202623.2123.2123.2123.2123.2110
Oct 1, 202623.1223.1223.1223.1223.1230
Sep 30, 202623.4623.4623.4623.4623.276
Sep 29, 202623.6523.7023.6523.7023.51136
Sep 28, 202623.6923.6923.6823.6823.49353
Sep 25, 202623.7823.7823.7823.7823.598
Sep 24, 202623.8523.8523.8523.8523.667
Sep 23, 202623.9323.9323.9323.9323.7415
Sep 22, 202624.2924.2924.2924.2924.106
Sep 21, 202624.3424.3524.3424.3524.16141
Sep 18, 202624.2324.2324.1024.1023.90331
Sep 17, 202624.3224.3224.3224.3224.126
Sep 16, 202624.2524.2524.2524.2524.0615
Sep 15, 202624.3524.3524.3524.3524.158
Sep 14, 202624.5824.5824.3924.3924.20707
Sep 11, 202624.5824.5824.5824.5824.398
Sep 10, 202624.3724.3724.3724.3724.188
Sep 9, 202624.5924.5924.5924.5924.406
Sep 8, 202624.8524.8524.8524.8524.658
Sep 4, 202624.8224.8224.8224.8224.6313
Sep 3, 202625.0225.0225.0225.0224.8210
Sep 2, 202624.7424.7424.7424.7424.549
Sep 1, 202624.9124.9124.9124.9124.719
Aug 31, 202624.9824.9824.9824.9824.787
Aug 28, 202625.1425.1425.1425.1424.9410
Aug 27, 202625.2625.2625.2625.2625.067
Aug 26, 202625.5025.5025.5025.5025.307
Aug 25, 202625.6425.6425.6425.6425.4317
Aug 24, 202625.5925.6325.5925.6325.42207
Aug 21, 202625.5325.5325.4725.4825.28209
Aug 20, 202625.5925.5925.5925.5925.398
Aug 19, 202625.4425.4425.4325.4325.22108
Aug 18, 202625.4825.4825.4825.4825.287
Aug 17, 202625.3925.4125.3925.4125.21402
Aug 14, 202625.5925.5925.5825.5825.371.01K
Aug 13, 202625.4925.4925.4925.4925.2947
Aug 12, 202625.1325.1325.1325.1324.9387
Aug 11, 202624.8524.8524.8524.8524.657
Aug 10, 202625.0725.0725.0725.0724.8739
Aug 7, 202625.3925.3925.3925.3925.187
Show:
of 72

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 VanEck Real Estate TruSector ETF Historical Prices

What is OHLC data for TRUR?

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

The adjusted close price for TRUR 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 TRUR price history go?

TRUR historical price data is available from the ETF's inception on Jul 6, 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 TRUR data?

TRUR 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 TRUR?

Trading volume for TRUR 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.