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Natixis Loomis Sayles Dynamic Core Plus ETF

LSCPNYSEARCANatixisFixed Income

$24.09Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
$50.00M
Expense ratio
0.39%
Dividend yield
1.31%
Holdings
422
52-week range
$23.78$25.20
Volume (live)
-
Avg. volume (3M)
1.25K

LSCP ETF Historical Prices: Natixis Loomis Sayles Dynamic Core Plus 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.

LSCP Historical Price Chart: Trends & Patterns

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

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LSCP 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 · Daily80 records
Showing 1-50 of 80
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LSCP 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, 202624.0924.0924.0924.0924.0910
Oct 14, 202623.8323.9623.8323.9623.96517
Oct 13, 202623.9323.9323.9323.9323.931.50K
Oct 12, 202623.9123.9123.9123.9123.9110
Oct 9, 202623.9023.9023.9023.9023.9016
Oct 8, 202623.8923.8923.8923.8923.898
Oct 7, 202623.7823.8223.7823.8223.83109
Oct 6, 202623.8323.8323.8323.8323.8319
Oct 5, 202623.7823.7823.7823.7823.789
Oct 2, 202623.8523.8523.8023.8023.80231
Oct 1, 202623.8423.8423.8423.8423.848
Sep 30, 202623.8923.8923.8923.8923.7917
Sep 29, 202623.9223.9223.9223.9223.828
Sep 28, 202623.9623.9623.9623.9623.868
Sep 25, 202624.0724.0724.0724.0723.978
Sep 24, 202624.0524.0524.0524.0523.958
Sep 23, 202624.3224.3224.1724.1824.086.21K
Sep 22, 202624.4024.4024.4024.4024.308
Sep 21, 202624.3824.3824.3824.3824.2753
Sep 18, 202624.3524.3524.3224.3224.221.71K
Sep 17, 202624.4024.4024.4024.4024.309
Sep 16, 202624.2924.2924.2924.2924.198
Sep 15, 202624.3024.3024.3024.3024.20208
Sep 14, 202624.2824.3224.2824.3224.21108
Sep 11, 202624.3424.3424.3424.3424.248
Sep 10, 202624.4324.4324.3624.3624.2625.71K
Sep 9, 202624.5524.5524.5524.5524.451.11K
Sep 8, 202624.5924.5924.5924.5924.498
Sep 4, 202624.6124.6124.6124.6124.5110
Sep 3, 202624.6124.6124.6124.6124.509
Sep 2, 202624.5724.5724.5724.5724.479
Sep 1, 202624.5724.5724.5724.5724.4722
Aug 31, 202624.7324.7324.7324.7324.5313
Aug 28, 202624.7824.7824.7824.7824.5818
Aug 27, 202624.8624.8624.8624.8624.6611
Aug 26, 202624.8824.8824.8824.8824.688
Aug 25, 202624.8924.8924.8924.8924.6914
Aug 24, 202624.7824.7824.7824.7824.588
Aug 21, 202624.7424.7424.7424.7424.5515
Aug 20, 202624.8024.8024.7924.7924.60168
Aug 19, 202624.8324.8324.8324.8324.637
Aug 18, 202624.7224.7224.7224.7224.538
Aug 17, 202624.7124.7124.7124.7124.517
Aug 14, 202624.7724.7724.7724.7724.576
Aug 13, 202624.8124.8124.8124.8124.616
Aug 12, 202624.7424.7424.7424.7424.547
Aug 11, 202624.7124.7124.7124.7124.528
Aug 10, 202624.7524.7524.7124.7124.52106
Aug 7, 202624.7724.8024.7724.7824.58307
Aug 6, 202624.7524.7524.7524.7524.556
Show:
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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 Natixis Loomis Sayles Dynamic Core Plus ETF Historical Prices

What is OHLC data for LSCP?

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

The adjusted close price for LSCP 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 LSCP price history go?

LSCP historical price data is available from the ETF's inception on Jun 23, 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 LSCP data?

LSCP 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 LSCP?

Trading volume for LSCP 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.