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Direxion Daily SpaceX Bear 2X ETF

LOFDNYSEARCADirexionEquity

$6.21Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
$2.03M
Expense ratio
0.97%
Dividend yield
0.32%
Holdings
-
52-week range
$4.47$14.73
Volume (live)
-
Avg. volume (3M)
172.71K

LOFD ETF Historical Prices: Direxion Daily SpaceX Bear 2X ETF

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

LOFD Historical Price Chart: Trends & Patterns

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

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LOFD 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 · Daily50 records
Showing 1-50 of 50
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LOFD 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 15, 20266.476.796.196.216.21156.54K
Oct 14, 20265.756.005.755.925.92190.55K
Oct 13, 20265.295.655.285.635.63165.61K
Oct 12, 20265.095.314.985.175.1760.23K
Oct 9, 20265.065.364.985.235.23257.58K
Oct 8, 20265.025.385.015.375.37488.65K
Oct 7, 20264.945.064.764.944.94439.66K
Oct 6, 20264.714.744.474.704.70266.66K
Oct 5, 20265.665.664.754.774.77476.37K
Oct 2, 20266.476.475.545.625.62120.90K
Oct 1, 20266.356.576.106.566.5619.71K
Sep 30, 20266.546.546.216.346.3418.33K
Sep 29, 20266.686.826.416.486.4867.41K
Sep 28, 20266.526.836.396.836.8328.11K
Sep 25, 20266.566.756.526.556.5510.71K
Sep 24, 20266.596.736.576.686.6816.80K
Sep 23, 20266.176.586.136.576.5757.27K
Sep 22, 20266.316.396.056.086.0830.18K
Sep 21, 20266.076.335.836.336.3173.15K
Sep 18, 20266.066.426.006.236.21262.24K
Sep 17, 20266.166.275.936.096.07285.47K
Sep 16, 20266.966.966.216.426.40405.76K
Sep 15, 20266.657.186.657.157.1349.95K
Sep 14, 20266.846.846.376.726.70213.75K
Sep 11, 20266.566.916.436.796.7775.16K
Sep 10, 20267.007.006.156.736.7183.53K
Sep 9, 20266.416.946.376.796.77134.10K
Sep 8, 20266.697.046.186.316.29250.97K
Sep 4, 20266.706.876.576.816.79216.11K
Sep 3, 20267.567.566.376.656.63259.83K
Sep 2, 20267.437.867.437.627.6024.92K
Sep 1, 20267.557.557.207.467.4324.76K
Aug 31, 20267.507.527.277.287.2641.14K
Aug 28, 20267.757.757.357.537.5122.84K
Aug 27, 20267.747.837.527.597.5747.49K
Aug 26, 20268.048.217.747.757.7348.20K
Aug 25, 20267.998.077.757.927.8945.48K
Aug 24, 20268.408.437.938.288.2646.97K
Aug 21, 20268.568.718.028.048.0169.30K
Aug 20, 20268.148.808.078.358.3387.39K
Aug 19, 20267.358.077.357.777.75110.71K
Aug 18, 20267.587.807.117.377.35117.36K
Aug 17, 20267.877.876.727.117.09293.89K
Aug 14, 20267.548.277.547.837.8185.34K
Aug 13, 20267.437.797.307.667.63217.50K
Aug 12, 20268.598.696.747.197.17306.84K
Aug 11, 20268.319.208.238.868.83109.10K
Aug 10, 20268.949.408.218.308.27232.27K
Aug 7, 202613.1513.159.019.018.98270.07K
Aug 6, 202614.7314.7313.1213.1213.0826.80K
Show:
of 50

Source: Daily exchange trading data. Data as of Oct 15, 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 SpaceX Bear 2X ETF Historical Prices

What is OHLC data for LOFD?

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

The adjusted close price for LOFD 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 LOFD price history go?

LOFD historical price data is available from the ETF's inception on Aug 5, 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 LOFD data?

LOFD 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 LOFD?

Trading volume for LOFD 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.