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Direxion Daily S&P 500 Bear 1X ETF

SPDNNYSEARCADirexionEquity

$8.54Today:- (-)1Y −11.27%

As of Oct 23, 2026 close

Assets (AUM)
$250.44M
Expense ratio
0.48%
Dividend yield
3.68%
Holdings
5
52-week range
$8.28$10.28
Volume (live)
-
Avg. volume (3M)
38.06M

SPDN ETF Historical Prices: Direxion Daily S&P 500 Bear 1X ETF

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

SPDN Historical Price Chart: Trends & Patterns

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

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SPDN 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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SPDN 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, 20268.558.568.528.548.5452.00M
Oct 22, 20268.488.538.468.508.5062.86M
Oct 21, 20268.428.458.388.398.3946.50M
Oct 20, 20268.488.508.408.448.4437.68M
Oct 19, 20268.468.488.428.478.4735.30M
Oct 16, 20268.408.538.398.518.5155.89M
Oct 15, 20268.478.498.398.418.4149.11M
Oct 14, 20268.378.468.358.438.4342.41M
Oct 13, 20268.358.368.328.348.3424.31M
Oct 12, 20268.328.348.328.348.3411.63M
Oct 9, 20268.358.368.318.328.3237.57M
Oct 8, 20268.368.418.338.388.3835.33M
Oct 7, 20268.358.378.328.338.3329.71M
Oct 6, 20268.328.338.288.308.3019.94M
Oct 5, 20268.428.428.338.368.3618.19M
Oct 2, 20268.408.448.378.428.4233.92M
Oct 1, 20268.468.538.458.478.4774.92M
Sep 30, 20268.438.498.408.488.4841.44M
Sep 29, 20268.448.488.448.478.4737.11M
Sep 28, 20268.428.478.408.458.4547.90M
Sep 25, 20268.418.448.378.388.3847.46M
Sep 24, 20268.468.478.408.418.4159.30M
Sep 23, 20268.358.438.358.428.4239.41M
Sep 22, 20268.338.368.338.348.3425.08M
Sep 21, 20268.548.558.448.468.3414.10M
Sep 18, 20268.608.648.598.598.4726.60M
Sep 17, 20268.608.638.598.598.4721.34M
Sep 16, 20268.648.758.618.698.5745.23M
Sep 15, 20268.628.678.628.658.5326.00M
Sep 14, 20268.648.658.588.628.5043.43M
Sep 11, 20268.578.588.558.588.4631.51M
Sep 10, 20268.658.668.628.648.5249.14M
Sep 9, 20268.578.618.578.608.4821.58M
Sep 8, 20268.518.568.518.558.4346.09M
Sep 4, 20268.488.528.478.518.3926.16M
Sep 3, 20268.538.538.458.478.3525.68M
Sep 2, 20268.598.598.538.568.4424.89M
Sep 1, 20268.598.618.558.598.4728.30M
Aug 31, 20268.528.558.528.538.4128.37M
Aug 28, 20268.478.518.448.498.3742.84M
Aug 27, 20268.508.528.468.488.3633.94M
Aug 26, 20268.548.558.518.538.4130.56M
Aug 25, 20268.528.568.528.528.4014.45M
Aug 24, 20268.558.578.538.568.4428.94M
Aug 21, 20268.538.558.508.538.4127.71M
Aug 20, 20268.538.578.508.578.4530.73M
Aug 19, 20268.478.508.458.498.3732.39M
Aug 18, 20268.498.518.488.508.3833.75M
Aug 17, 20268.418.458.408.458.3312.04M
Aug 14, 20268.378.418.378.408.2914.22M
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 S&P 500 Bear 1X ETF Historical Prices

What is OHLC data for SPDN?

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

The adjusted close price for SPDN 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 SPDN price history go?

SPDN historical price data is available from the ETF's inception on Jun 7, 2016. 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 SPDN data?

SPDN 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 SPDN?

Trading volume for SPDN 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.