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Natixis Loomis Sayles Total Return Bond ETF

LSTBNYSEARCANatixisFixed Income

$24.08Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$51.15M
Expense ratio
0.39%
Dividend yield
1.47%
Holdings
271
52-week range
$23.75$25.20
Volume (live)
-
Avg. volume (3M)
243

LSTB ETF Historical Prices: Natixis Loomis Sayles Total Return Bond 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.

LSTB Historical Price Chart: Trends & Patterns

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

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LSTB 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 · Daily81 records
Showing 1-50 of 81
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LSTB 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, 202624.0824.0824.0824.0824.086
Oct 15, 202624.0924.1024.0924.1024.10106
Oct 14, 202623.9623.9623.9623.9623.9649
Oct 13, 202623.9523.9523.9523.9523.956
Oct 12, 202623.9323.9323.9323.9323.936
Oct 9, 202623.9223.9223.9223.9223.926
Oct 8, 202623.9223.9223.9223.9223.9210
Oct 7, 202623.8523.8523.8523.8523.8525
Oct 6, 202623.8623.8623.8623.8623.8613
Oct 5, 202623.7923.7923.7923.7923.79121
Oct 2, 202623.9423.9523.8223.8223.821.91K
Oct 1, 202623.7523.8923.7523.8523.85598
Sep 30, 202623.9123.9123.9123.9123.80208
Sep 29, 202623.9623.9623.9623.9623.858
Sep 28, 202623.9923.9923.9923.9923.888
Sep 25, 202624.0924.1224.0924.1224.011.88K
Sep 24, 202624.1124.1124.1124.1124.008
Sep 23, 202624.2624.2624.2324.2324.12410
Sep 22, 202624.4424.4424.4424.4424.338
Sep 21, 202624.4324.4324.4324.4324.3210
Sep 18, 202624.3824.3824.3824.3824.269
Sep 17, 202624.4524.4524.4524.4524.349
Sep 16, 202624.3224.3324.3224.3324.21408
Sep 15, 202624.3224.3224.3224.3224.218
Sep 14, 202624.3524.3524.3524.3524.2413
Sep 11, 202624.3624.3624.3624.3624.248
Sep 10, 202624.4024.4324.3624.3824.271.01K
Sep 9, 202624.5424.5424.5424.5424.428
Sep 8, 202624.5824.5824.5824.5824.479
Sep 4, 202624.6024.6024.5924.5924.47411
Sep 3, 202624.5924.5924.5924.5924.488
Sep 2, 202624.5624.5624.5624.5624.4523
Sep 1, 202624.5524.5524.5524.5524.448
Aug 31, 202624.7324.7324.7324.7324.518
Aug 28, 202624.7624.7624.7624.7624.5418
Aug 27, 202624.8124.8224.8024.8024.5721.11K
Aug 26, 202624.8124.8324.8024.8324.615.21K
Aug 25, 202624.8524.8524.8524.8524.626
Aug 24, 202624.7524.7524.7524.7524.526
Aug 21, 202624.7024.7024.7024.7024.488
Aug 20, 202624.7324.7324.7324.7324.516
Aug 19, 202624.8024.8024.8024.8024.587
Aug 18, 202624.7024.7024.7024.7024.4710
Aug 17, 202624.6824.6824.6824.6824.4615
Aug 14, 202624.7424.7424.7424.7424.526
Aug 13, 202624.7924.7924.7924.7924.576
Aug 12, 202624.7224.7224.7224.7224.506
Aug 11, 202624.7024.7024.7024.7024.486
Aug 10, 202624.6824.6824.6824.6824.467
Aug 7, 202624.7624.7624.7624.7624.536
Show:
of 81

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 Natixis Loomis Sayles Total Return Bond ETF Historical Prices

What is OHLC data for LSTB?

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

The adjusted close price for LSTB 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 LSTB price history go?

LSTB 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 LSTB data?

LSTB 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 LSTB?

Trading volume for LSTB 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.