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T-REX 2X Long CIFR Daily Target ETF

CIFUBATSTuttle Capital ManagementEquity

$2.60Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$15.48M
Expense ratio
1.50%
Dividend yield
-
Holdings
6
52-week range
$3.14$51.21
Volume (live)
-
Avg. volume (3M)
1.14M

CIFU ETF Historical Prices: T-REX 2X Long CIFR 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.

CIFU Historical Price Chart: Trends & Patterns

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

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CIFU 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 · Daily127 records
Showing 1-50 of 127
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CIFU 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, 20263.143.232.462.602.602.26M
Oct 15, 20262.813.382.483.333.333.36M
Oct 14, 20264.314.313.153.273.27384.61K
Oct 13, 20264.274.793.734.324.325.83M
Oct 12, 20266.146.355.755.805.80670.86K
Oct 9, 20266.626.626.006.276.2768.91K
Oct 8, 20266.956.955.646.316.312.11M
Oct 7, 20267.768.047.257.327.321.78M
Oct 6, 20268.408.668.068.338.331.16M
Oct 5, 20268.768.767.678.428.423.12M
Oct 2, 20268.779.358.238.658.651.10M
Oct 1, 20268.718.737.728.418.411.11M
Sep 30, 20269.839.908.758.818.81676.72K
Sep 29, 202610.2010.509.459.579.57685.61K
Sep 28, 202610.6111.259.789.939.93839.58K
Sep 25, 202612.3012.3010.7511.1511.15879.32K
Sep 24, 202611.0912.4711.0711.6211.62506.90K
Sep 23, 202612.5913.5911.8311.9111.91650.85K
Sep 22, 202612.7513.7812.5612.8512.85536.45K
Sep 21, 202612.4713.1111.9212.7112.71940.61K
Sep 18, 202611.2212.0310.4011.9111.91563.96K
Sep 17, 202611.5812.049.8710.3610.36992.68K
Sep 16, 20269.1510.949.1010.0710.071.05M
Sep 15, 20268.658.798.008.338.33422.61K
Sep 14, 20268.759.748.608.918.91814.85K
Sep 11, 20269.5611.109.2410.3810.38779.83K
Sep 10, 20269.539.988.509.349.34925.99K
Sep 9, 202613.1113.1110.4710.4710.47487.56K
Sep 8, 202612.0114.0511.5512.6712.67461.34K
Sep 4, 202611.3311.9611.2311.7611.76471.67K
Sep 3, 20268.6911.508.6911.3211.32782.22K
Sep 2, 20267.808.917.678.778.77356.24K
Sep 1, 20268.478.748.008.158.15323.71K
Aug 31, 20268.659.308.419.249.24246.20K
Aug 28, 202610.1810.508.768.798.79726.28K
Aug 27, 202610.5811.7810.5110.9810.98978.39K
Aug 26, 202610.0410.509.719.939.93271.49K
Aug 25, 20269.4010.479.3110.3610.36395.93K
Aug 24, 20269.369.858.809.239.23536.00K
Aug 21, 202612.1013.059.409.769.762.25M
Aug 20, 202610.4611.839.7311.8311.83899.56K
Aug 19, 202610.3510.648.8210.1710.171.30M
Aug 18, 202612.5113.059.9010.4710.471.51M
Aug 17, 202613.0214.3613.0213.9813.98786.64K
Aug 14, 202611.0513.4610.8813.0613.06893.63K
Aug 13, 202612.7713.5311.1111.5211.52785.85K
Aug 12, 202614.1615.0012.7513.3213.321.09M
Aug 11, 202612.2013.7612.1712.4212.421.09M
Aug 10, 202612.8012.8011.0011.2211.22890.48K
Aug 7, 202615.0315.3512.0712.3812.381.05M
Show:
of 127

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 CIFR Daily Target ETF Historical Prices

What is OHLC data for CIFU?

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

The adjusted close price for CIFU 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 CIFU price history go?

CIFU historical price data is available from the ETF's inception on Nov 20, 2025. 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 CIFU data?

CIFU 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 CIFU?

Trading volume for CIFU 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.