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Aptus April Deep Buffer ETF

APDBBATSAptus Capital AdvisorsAlternative

$26.39Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
$6.05M
Expense ratio
0.25%
Dividend yield
-
Holdings
8
52-week range
$25.33$27.22
Volume (live)
-
Avg. volume (3M)
229

APDB ETF Historical Prices: Aptus April Deep Buffer ETF

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

APDB Historical Price Chart: Trends & Patterns

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

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APDB 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 · Daily113 records
Showing 1-50 of 113
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APDB 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, 202626.3626.3926.3626.3926.39202
Oct 14, 202626.3926.3926.3426.3426.34306
Oct 13, 202626.4626.4826.4626.4826.48428
Oct 12, 202626.4726.4726.4726.4726.478
Oct 9, 202626.4726.4726.4726.4726.476
Oct 8, 202626.3926.3926.3926.3926.39116
Oct 7, 202626.4326.4326.4326.4326.4410
Oct 6, 202626.4626.4626.4626.4626.4613
Oct 5, 202626.3726.3726.3726.3726.3711
Oct 2, 202626.3026.3026.3026.3026.30114
Oct 1, 202626.2226.2226.2226.2226.2212
Sep 30, 202626.1926.1926.1926.1926.1910
Sep 29, 202626.2226.2226.2226.2226.2210
Sep 28, 202626.2326.2326.2326.2326.2314
Sep 25, 202626.3126.3126.3126.3126.3111
Sep 24, 202626.2326.2326.2326.2326.2411
Sep 23, 202627.2227.2227.2227.2227.2210
Sep 22, 202626.3326.3326.3326.3326.3310
Sep 21, 202626.2626.3126.2626.3126.31160
Sep 18, 202626.1426.1426.1426.1426.1410
Sep 17, 202626.1226.1226.1226.1226.1260
Sep 16, 202625.9925.9925.9825.9825.98313
Sep 15, 202626.0226.0226.0226.0226.0210
Sep 14, 202626.0926.0926.0926.0926.0910
Sep 11, 202626.1526.1526.1526.1526.1596
Sep 10, 202626.0326.0326.0226.0226.022.01K
Sep 9, 202626.0926.0926.0926.0926.1010
Sep 8, 202626.1826.1926.1526.1526.15472
Sep 4, 202626.2326.2426.2126.2126.211.31K
Sep 3, 202626.2726.2726.2726.2726.261.11K
Sep 2, 202626.1426.1426.1426.1426.1410
Sep 1, 202626.0526.0526.0526.0526.0610
Aug 31, 202626.1526.1526.1526.1526.1511
Aug 28, 202626.1826.1826.1826.1826.1810
Aug 27, 202626.1826.1826.1826.1826.1810
Aug 26, 202626.1126.1126.1126.1126.1110
Aug 25, 202626.1026.1026.1026.1026.1011
Aug 24, 202626.0426.0826.0426.0826.08135
Aug 21, 202626.0926.1026.0926.1026.10161
Aug 20, 202626.0726.0726.0426.0426.042.51K
Aug 19, 202626.1426.1426.1326.1326.13210
Aug 18, 202626.1126.1126.1126.1126.1110
Aug 17, 202626.1626.1626.1626.1626.1610
Aug 14, 202626.2126.2126.2126.2126.211.51K
Aug 13, 202626.2126.2126.2126.2126.2111
Aug 12, 202626.1626.1626.1626.1626.1610
Aug 11, 202626.1126.1126.1126.1126.1111
Aug 10, 202626.1426.1426.1426.1426.1412
Aug 7, 202626.1426.1426.1426.1426.1410
Aug 6, 202626.1226.1226.0826.0826.08559
Show:
of 113

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 Aptus April Deep Buffer ETF Historical Prices

What is OHLC data for APDB?

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

The adjusted close price for APDB 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 APDB price history go?

APDB historical price data is available from the ETF's inception on May 4, 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 APDB data?

APDB 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 APDB?

Trading volume for APDB 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.