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Direxion Daily Real Estate Bull 3X ETF

DRNNYSEARCADirexionEquity

$9.22Today:- (-)1Y −7.53%

As of Oct 23, 2026 close

Assets (AUM)
$35.68M
Expense ratio
0.98%
Dividend yield
2.44%
Holdings
35
52-week range
$7.88$12.21
Volume (live)
-
Avg. volume (3M)
1.68M

DRN ETF Historical Prices: Direxion Daily Real Estate Bull 3X ETF

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

DRN Historical Price Chart: Trends & Patterns

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

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DRN 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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DRN 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, 20269.579.609.109.229.221.78M
Oct 22, 20268.909.238.869.219.211.30M
Oct 21, 20269.209.278.868.918.911.05M
Oct 20, 20268.749.178.749.129.121.35M
Oct 19, 20268.898.978.638.688.68937.25K
Oct 16, 20268.969.198.869.009.00887.17K
Oct 15, 20268.859.008.798.898.891.77M
Oct 14, 20268.738.818.478.608.601.62M
Oct 13, 20269.089.118.648.798.791.52M
Oct 12, 20268.688.868.598.868.861.64M
Oct 9, 20268.448.718.398.688.682.00M
Oct 8, 20268.008.267.888.218.212.19M
Oct 7, 20268.348.398.058.068.062.38M
Oct 6, 20268.168.488.168.388.381.79M
Oct 5, 20268.168.267.998.118.112.50M
Oct 2, 20268.258.508.198.218.211.52M
Oct 1, 20268.298.297.988.168.162.07M
Sep 30, 20268.688.688.278.298.291.08M
Sep 29, 20268.538.668.388.558.55907.74K
Sep 28, 20268.708.798.488.578.571.32M
Sep 25, 20268.828.858.558.708.701.73M
Sep 24, 20269.009.028.748.778.771.86M
Sep 23, 20269.109.268.878.918.912.13M
Sep 22, 20269.449.449.279.339.331.65M
Sep 21, 20269.279.499.269.469.391.88M
Sep 18, 20269.299.369.179.199.121.79M
Sep 17, 20269.569.619.409.479.401.61M
Sep 16, 20269.579.849.249.389.311.96M
Sep 15, 20269.679.679.319.569.492.72M
Sep 14, 20269.789.919.499.619.541.59M
Sep 11, 20269.749.889.689.789.711.61M
Sep 10, 20269.829.949.499.569.491.42M
Sep 9, 202610.0810.169.799.839.751.96M
Sep 8, 202610.1010.4010.0510.1610.081.52M
Sep 4, 202610.2310.4210.1410.1610.081.74M
Sep 3, 202610.2210.4210.1310.4110.331.59M
Sep 2, 202610.2610.289.9410.079.991.90M
Sep 1, 202610.2710.5210.1810.2910.212.52M
Aug 31, 202610.5010.5010.1510.3510.271.53M
Aug 28, 202610.8310.9010.5310.6010.521.40M
Aug 27, 202610.9211.0110.7210.7410.661.62M
Aug 26, 202611.2611.3311.0411.0710.991.48M
Aug 25, 202611.1911.3411.1111.2611.171.20M
Aug 24, 202611.1311.2910.9711.2611.171.07M
Aug 21, 202611.1711.2010.9511.0510.97791.34K
Aug 20, 202610.8911.2310.8811.0811.001.12M
Aug 19, 202610.9511.0710.7511.0210.94793.69K
Aug 18, 202611.0111.1110.7310.7710.69779.78K
Aug 17, 202611.0511.0610.8210.9010.82706.81K
Aug 14, 202611.0811.2511.0611.2111.12433.93K
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 Direxion Daily Real Estate Bull 3X ETF Historical Prices

What is OHLC data for DRN?

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

The adjusted close price for DRN 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 DRN price history go?

DRN historical price data is available from the ETF's inception on Jul 15, 2009. 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 DRN data?

DRN 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 DRN?

Trading volume for DRN 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.