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Angel Oak Mortgage-Backed Securities ETF

MBSNASDAQAngel OakFixed Income

$8.31Today:- (-)1Y −6.36%

As of Oct 23, 2026 close

Assets (AUM)
$199.04M
Expense ratio
0.49%
Dividend yield
5.66%
Holdings
159
52-week range
$8.13$9.16
Volume (live)
-
Avg. volume (3M)
143.28K

MBS ETF Historical Prices: Angel Oak Mortgage-Backed Securities 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.

MBS Historical Price Chart: Trends & Patterns

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

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MBS 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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MBS 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, 20268.358.358.298.308.3085.67K
Oct 22, 20268.248.298.248.298.2982.09K
Oct 21, 20268.218.268.218.238.23102.84K
Oct 20, 20268.198.258.198.238.2347.93K
Oct 19, 20268.238.238.218.238.2347.80K
Oct 16, 20268.218.248.218.238.2352.16K
Oct 15, 20268.178.248.178.228.2351.94K
Oct 14, 20268.208.218.168.218.2184.02K
Oct 13, 20268.198.208.178.208.20103.50K
Oct 12, 20268.248.248.178.198.1953.78K
Oct 9, 20268.238.248.178.208.2071.36K
Oct 8, 20268.158.208.158.198.19115.72K
Oct 7, 20268.138.178.138.168.16110.05K
Oct 6, 20268.198.198.138.168.16155.07K
Oct 5, 20268.198.198.148.158.1534.05K
Oct 2, 20268.238.238.188.198.19358.14K
Oct 1, 20268.178.218.178.218.21167.71K
Sep 30, 20268.218.218.178.178.1735.05K
Sep 29, 20268.248.268.218.228.191.64M
Sep 28, 20268.278.278.248.258.2198.00K
Sep 25, 20268.278.308.278.298.26195.51K
Sep 24, 20268.328.328.298.298.2646.50K
Sep 23, 20268.358.388.338.358.3148.15K
Sep 22, 20268.398.418.388.408.3688.64K
Sep 21, 20268.388.418.368.408.36122.46K
Sep 18, 20268.388.408.378.388.3418.11K
Sep 17, 20268.398.418.388.408.3633.27K
Sep 16, 20268.408.408.368.378.3341.13K
Sep 15, 20268.388.408.368.378.33104.11K
Sep 14, 20268.388.408.378.388.35102.45K
Sep 11, 20268.418.438.398.398.3659.76K
Sep 10, 20268.488.488.418.438.3970.74K
Sep 9, 20268.498.498.478.478.4433.21K
Sep 8, 20268.508.508.488.488.45123.11K
Sep 4, 20268.488.508.488.498.461.17M
Sep 3, 20268.488.508.488.488.4448.73K
Sep 2, 20268.448.488.448.488.444.50M
Sep 1, 20268.468.528.468.498.46156.43K
Aug 31, 20268.498.518.488.488.4464.03K
Aug 28, 20268.568.598.568.568.4917.03K
Aug 27, 20268.598.598.578.588.516.47K
Aug 26, 20268.608.608.578.598.5145.50K
Aug 25, 20268.598.598.578.598.5146.34K
Aug 24, 20268.548.568.548.558.4821.94K
Aug 21, 20268.558.568.548.558.48199.38K
Aug 20, 20268.568.568.548.558.4832.56K
Aug 19, 20268.558.588.558.588.51151.14K
Aug 18, 20268.528.558.528.548.4649.87K
Aug 17, 20268.548.568.528.558.4832.82K
Aug 14, 20268.588.598.568.578.5084.76K
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 Angel Oak Mortgage-Backed Securities ETF Historical Prices

What is OHLC data for MBS?

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

The adjusted close price for MBS 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 MBS price history go?

MBS historical price data is available from the ETF's inception on Feb 19, 2024. 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 MBS data?

MBS 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 MBS?

Trading volume for MBS 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.