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Aristotle Short Term Income ETF

SDURNYSEARCAAristotleFixed Income

$24.84Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
$16.83M
Expense ratio
0.39%
Dividend yield
0.59%
Holdings
174
52-week range
$24.74$25.25
Volume (live)
-
Avg. volume (3M)
7.96K

SDUR ETF Historical Prices: Aristotle Short Term Income ETF

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

SDUR Historical Price Chart: Trends & Patterns

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

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SDUR 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 · Daily55 records
Showing 1-50 of 55
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SDUR 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, 202624.8424.8424.8424.8424.84100
Oct 14, 202624.7924.8024.7924.8024.8020.01K
Oct 13, 202624.8124.8124.8124.8124.816
Oct 12, 202624.8124.8124.8124.8124.817
Oct 9, 202624.8024.8024.8024.8024.806
Oct 8, 202624.8224.8424.8224.8424.842.01K
Oct 7, 202624.8624.8624.8624.8624.868
Oct 6, 202624.7824.8424.7824.8424.8412.01K
Oct 5, 202624.7524.8024.7524.8024.8010.01K
Oct 2, 202624.7624.7624.7624.7624.7611
Oct 1, 202624.7524.7724.7524.7724.7720.06K
Sep 30, 202624.7424.7724.7424.7624.7644.47K
Sep 29, 202624.8124.8224.8024.8224.7442.11K
Sep 28, 202624.7924.8024.7924.8024.7220.01K
Sep 25, 202624.8424.8424.8424.8424.7615
Sep 24, 202624.8224.8224.8224.8224.7314
Sep 23, 202624.8824.8824.8324.8324.7550.14K
Sep 22, 202624.9324.9324.9324.9324.85217
Sep 21, 202624.9124.9124.9124.9124.8310.02K
Sep 18, 202624.9124.9124.9124.9124.829
Sep 17, 202624.9324.9324.9324.9324.859
Sep 16, 202624.9024.9024.9024.9024.829
Sep 15, 202624.9324.9324.9224.9224.84129
Sep 14, 202624.9124.9124.9124.9124.839
Sep 11, 202624.9324.9324.9324.9324.859
Sep 10, 202624.9624.9624.9624.9624.889
Sep 9, 202625.0225.0525.0225.0424.954.40K
Sep 8, 202625.0225.0225.0225.0224.94631
Sep 4, 202625.0225.0225.0225.0224.949
Sep 3, 202625.0425.1125.0325.0324.952.31K
Sep 2, 202625.0225.0625.0225.0224.943.11K
Sep 1, 202625.0425.0425.0025.0024.92414
Aug 31, 202625.0525.0725.0525.0724.99810
Aug 28, 202625.1425.1625.1425.1625.011.93K
Aug 27, 202625.2025.2025.2025.2025.059
Aug 26, 202625.1725.1725.1725.1725.029
Aug 25, 202625.1825.1825.1825.1825.039
Aug 24, 202625.1725.1725.1725.1725.029
Aug 21, 202625.1425.1625.1425.1625.014.91K
Aug 20, 202625.1225.2525.1225.1825.033.50K
Aug 19, 202625.1325.1525.1325.1525.001.52K
Aug 18, 202625.1325.1325.1325.1324.98908
Aug 17, 202625.1425.1625.1425.1625.0212.56K
Aug 14, 202625.1425.1425.1325.1324.983.01K
Aug 13, 202625.1425.1425.1425.1424.998
Aug 12, 202625.1125.1125.1125.1124.961.91K
Aug 11, 202625.0925.0925.0925.0924.948
Aug 10, 202625.0725.0725.0725.0724.92308
Aug 7, 202625.0825.1225.0825.0924.94465.35K
Aug 6, 202625.0625.0625.0625.0624.918
Show:
of 55

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 Aristotle Short Term Income ETF Historical Prices

What is OHLC data for SDUR?

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

The adjusted close price for SDUR 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 SDUR price history go?

SDUR historical price data is available from the ETF's inception on Jul 28, 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 SDUR data?

SDUR 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 SDUR?

Trading volume for SDUR 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.