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Castellan Targeted Income ETF

CTIFBATSCastellanEquity

$53.26Today:- (-)1Y +3.90%

As of Oct 23, 2026 close

Assets (AUM)
$187.30M
Expense ratio
0.45%
Dividend yield
4.79%
Holdings
47
52-week range
$47.46$56.17
Volume (live)
-
Avg. volume (3M)
5.34K

CTIF ETF Historical Prices: Castellan Targeted Income ETF

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

CTIF Historical Price Chart: Trends & Patterns

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

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CTIF 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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CTIF 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, 202653.2653.2653.2653.2653.2666
Oct 22, 202653.3653.7853.3653.7853.781.96K
Oct 21, 202653.7353.7353.7353.7353.736
Oct 20, 202653.3553.3653.3353.3353.3347.02K
Oct 19, 202653.0853.0853.0853.0853.087
Oct 16, 202653.0553.1053.0553.1053.10228
Oct 15, 202652.9253.1252.9253.1253.124.05K
Oct 14, 202652.4252.5952.4252.5952.59108
Oct 13, 202652.8752.8752.8752.8752.878
Oct 12, 202652.7652.7652.7652.7652.7617
Oct 9, 202652.5152.5152.5152.5152.5128
Oct 8, 202652.2152.2152.2152.2152.2138
Oct 7, 202651.7051.9551.7051.9551.952.55K
Oct 6, 202652.4352.4352.4352.4352.4335
Oct 5, 202652.1152.1152.1152.1152.1172
Oct 2, 202652.0152.0152.0152.0152.0019
Oct 1, 202651.7652.0351.7652.0052.002.54K
Sep 30, 202651.7151.7151.3351.3351.3379.76K
Sep 29, 202651.6351.6351.5051.6251.625.94K
Sep 28, 202651.6651.6651.6651.6651.6643
Sep 25, 202652.6152.6152.6152.6151.9515
Sep 24, 202652.4052.4052.2452.2451.595.03K
Sep 23, 202652.8052.8052.7152.7152.055.43K
Sep 22, 202652.9552.9552.9552.9552.2830
Sep 21, 202653.0853.0853.0853.0852.4236
Sep 18, 202652.6652.6652.6652.6652.0164
Sep 17, 202652.6252.6252.6252.6251.9650
Sep 16, 202652.3952.3952.3952.3951.7328
Sep 15, 202652.8352.8352.8352.8352.1718
Sep 14, 202653.0053.1552.9553.1552.485.04K
Sep 11, 202653.3653.3653.3653.3652.692.52K
Sep 10, 202652.6352.6352.6352.6351.97124
Sep 9, 202652.9052.9052.8552.8552.195.68K
Sep 8, 202653.5053.5053.3753.3752.708.29K
Sep 4, 202653.7653.7653.7653.7653.0919
Sep 3, 202654.0154.0154.0154.0153.3451
Sep 2, 202653.4353.4353.4353.4352.7732
Sep 1, 202653.9553.9953.4353.4352.764.74K
Aug 31, 202654.2254.2254.2254.2253.5440
Aug 28, 202654.5954.5954.5954.5953.9119
Aug 27, 202654.7754.7754.7754.7754.0916
Aug 26, 202654.9354.9354.9354.9354.2427
Aug 25, 202654.7154.7154.7154.7154.02520
Aug 24, 202654.7254.8254.6554.8254.13109.85K
Aug 21, 202654.7554.7554.7554.7554.06114
Aug 20, 202654.2854.2854.2854.2853.6016
Aug 19, 202654.7854.7854.7854.7854.0915
Aug 18, 202654.7854.7854.7854.7854.0945
Aug 17, 202655.4155.4155.4155.4154.7114
Aug 14, 202655.8655.8655.8655.8655.1665
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 Castellan Targeted Income ETF Historical Prices

What is OHLC data for CTIF?

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

The adjusted close price for CTIF 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 CTIF price history go?

CTIF historical price data is available from the ETF's inception on Jun 24, 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 CTIF data?

CTIF 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 CTIF?

Trading volume for CTIF 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.