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T-REX 2X Long SPCX Daily Target ETF

SPAXNYSEARCATidalEquity

$9.35Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$4.59M
Expense ratio
1.50%
Dividend yield
-
Holdings
5
52-week range
$5.36$28.05
Volume (live)
-
Avg. volume (3M)
1.93M

SPAX ETF Historical Prices: T-REX 2X Long SPCX Daily Target ETF

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

SPAX Historical Price Chart: Trends & Patterns

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

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SPAX 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 · Daily87 records
Showing 1-50 of 87
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SPAX 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, 20269.559.578.969.359.351.47M
Oct 15, 20269.519.758.649.689.682.84M
Oct 14, 202610.5710.6110.0410.2110.211.82M
Oct 13, 202611.5711.5710.7210.8010.801.76M
Oct 12, 202611.9612.3011.4111.7711.772.03M
Oct 9, 202612.0712.1811.3811.6811.682.14M
Oct 8, 202612.3912.4111.3511.3911.391.86M
Oct 7, 202612.5312.9812.1412.4412.442.00M
Oct 6, 202613.1713.7813.0313.1113.112.78M
Oct 5, 202611.2912.9911.2212.9912.992.34M
Oct 2, 202610.0211.3810.0111.2711.272.43M
Oct 1, 202610.1510.609.819.839.831.31M
Sep 30, 20269.9410.439.8010.2010.201.81M
Sep 29, 20269.7010.129.5110.0010.001.81M
Sep 28, 20269.9110.229.499.539.532.88M
Sep 25, 20269.9110.079.599.959.951.79M
Sep 24, 20269.8610.009.599.889.881.98M
Sep 23, 202610.6010.739.869.919.911.03M
Sep 22, 202610.4110.8310.2410.8110.811.26M
Sep 21, 202610.8411.2810.3910.4310.431.79M
Sep 18, 202610.8011.0510.1610.5710.572.56M
Sep 17, 202610.6811.1310.5510.8610.861.53M
Sep 16, 20269.5110.589.4710.3110.312.29M
Sep 15, 202610.0410.049.289.389.381.67M
Sep 14, 20269.8910.599.799.989.981.50M
Sep 11, 202610.2810.499.7110.4110.411.62M
Sep 10, 20269.5810.889.5810.0210.022.57M
Sep 9, 202610.5710.709.669.949.941.66M
Sep 8, 202610.1310.959.6510.7710.771.34M
Sep 4, 202610.1410.429.9510.0410.041.10M
Sep 3, 20269.1810.619.1710.2710.272.48M
Sep 2, 20269.369.438.799.119.11620.55K
Sep 1, 20269.289.719.199.339.331.28M
Aug 31, 20269.069.579.039.519.51968.18K
Aug 28, 20269.019.468.789.249.241.50M
Aug 27, 20269.079.328.879.169.161.07M
Aug 26, 20268.669.068.439.009.001.28M
Aug 25, 20268.689.028.578.808.801.68M
Aug 24, 20268.338.848.198.438.431.89M
Aug 21, 20268.378.737.988.698.692.03M
Aug 20, 20268.778.827.878.318.312.64M
Aug 19, 20269.789.788.679.079.072.31M
Aug 18, 20269.219.979.039.549.541.75M
Aug 17, 20269.1510.419.109.959.952.60M
Aug 14, 20269.559.678.559.129.122.10M
Aug 13, 20269.669.849.139.329.322.25M
Aug 12, 20268.6110.428.479.999.995.26M
Aug 11, 20269.079.248.028.398.393.40M
Aug 10, 20268.619.158.039.119.117.24M
Aug 7, 20266.378.426.338.398.3910.52M
Show:
of 87

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 T-REX 2X Long SPCX Daily Target ETF Historical Prices

What is OHLC data for SPAX?

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

The adjusted close price for SPAX 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 SPAX price history go?

SPAX historical price data is available from the ETF's inception on Jun 10, 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 SPAX data?

SPAX 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 SPAX?

Trading volume for SPAX 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.