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Corgi CRCL 2x Daily ETF

CIRBATSCorgiEquity

$29.16Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$596.88K
Expense ratio
0.45%
Dividend yield
-
Holdings
-
52-week range
$18.46$48.77
Volume (live)
-
Avg. volume (3M)
1.70K

CIR ETF Historical Prices: Corgi CRCL 2x Daily ETF

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

CIR Historical Price Chart: Trends & Patterns

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

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CIR 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 · Daily73 records
Showing 1-50 of 73
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CIR 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, 202632.3332.3329.1629.1629.165.58K
Oct 15, 202626.9932.5126.9932.1732.177.13K
Oct 14, 202627.3127.3126.3627.0827.08610
Oct 13, 202630.1830.4330.1830.4330.43111
Oct 12, 202630.6430.6429.9529.9529.951.03K
Oct 9, 202628.5931.8928.5930.8930.893.75K
Oct 8, 202628.4828.4827.2228.3028.301.43K
Oct 7, 202627.8728.2027.8728.2028.19193
Oct 6, 202630.7030.7030.7030.7030.7092
Oct 5, 202629.8930.1929.8930.1930.19488
Oct 2, 202628.4128.4128.4128.4128.4070
Oct 1, 202630.0030.0030.0030.0030.0083
Sep 30, 202629.3929.3929.3929.3929.3924
Sep 29, 202630.3830.3830.3830.3830.38151
Sep 28, 202633.8933.8932.1032.1032.10776
Sep 25, 202633.7334.3133.7334.3134.31791
Sep 24, 202637.2837.8337.2837.8337.83337
Sep 23, 202636.8536.8536.8536.8536.8581
Sep 22, 202639.5539.5538.5039.2939.291.37K
Sep 21, 202639.9739.9738.8438.8438.84925
Sep 18, 202634.8937.0934.8937.0937.094.23K
Sep 17, 202631.4532.0530.0031.9031.904.32K
Sep 16, 202631.5731.5827.8628.8228.824.63K
Sep 15, 202636.1736.2733.2333.2333.236.60K
Sep 14, 202640.9543.1339.9643.1343.13851
Sep 11, 202637.6637.6637.6637.6637.66231
Sep 10, 202637.9237.9237.6337.6337.63214
Sep 9, 202642.5442.5439.6939.6939.691.40K
Sep 8, 202644.1744.2842.5142.6742.674.73K
Sep 4, 202645.3747.4744.8047.4747.471.36K
Sep 3, 202645.9948.7745.8648.7748.772.85K
Sep 2, 202636.9836.9836.9836.9836.98171
Sep 1, 202637.4937.5237.4937.5237.52438
Aug 31, 202635.5843.0535.5843.0543.05945
Aug 28, 202639.7339.8435.9736.2936.29627
Aug 27, 202642.5842.7541.4642.7542.75953
Aug 26, 202640.3740.3737.0038.7738.771.34K
Aug 25, 202638.1240.6436.9840.6440.643.31K
Aug 24, 202637.4640.6536.9236.9236.923.79K
Aug 21, 202638.1838.5030.5437.4737.472.43K
Aug 20, 202632.1333.8832.1333.6733.671.91K
Aug 19, 202629.0631.2228.0930.0230.024.33K
Aug 18, 202626.8526.8525.3925.5725.561.18K
Aug 17, 202625.5127.5025.5127.5027.50563
Aug 14, 202626.5526.5525.3625.3625.36927
Aug 13, 202627.4828.3027.4828.1028.10412
Aug 12, 202625.1025.1624.4925.1625.16270
Aug 11, 202625.0125.0125.0125.0125.01191
Aug 10, 202622.3522.3522.3522.3522.3517
Aug 7, 202622.6022.6022.2722.2722.27945
Show:
of 73

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 Corgi CRCL 2x Daily ETF Historical Prices

What is OHLC data for CIR?

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

The adjusted close price for CIR 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 CIR price history go?

CIR historical price data is available from the ETF's inception on Jul 6, 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 CIR data?

CIR 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 CIR?

Trading volume for CIR 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.