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FT Vest U.S. Equity Buffer & Digital Return ETF - April

DGAPBATSFirst TrustAlternative

$31.29Today:- (-)

As of Oct 26, 2026 close

Assets (AUM)
$7.79M
Expense ratio
0.85%
Dividend yield
-
Holdings
-
52-week range
$29.78$31.38
Volume (live)
-
Avg. volume (3M)
591

DGAP ETF Historical Prices: FT Vest U.S. Equity Buffer & Digital Return ETF - April

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

DGAP Historical Price Chart: Trends & Patterns

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

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DGAP 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 · Daily127 records
Showing 1-50 of 127
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DGAP 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 26, 202631.2831.2831.2831.2931.299
Oct 23, 202631.2731.3031.2331.2331.236.75K
Oct 22, 202631.2531.2531.2531.2531.257
Oct 21, 202631.3231.3231.3231.3231.327
Oct 20, 202631.2831.2831.2831.2831.287
Oct 19, 202631.2831.2831.2831.2831.287
Oct 16, 202631.2531.2531.2231.2231.22108
Oct 15, 202631.3031.3031.2731.2731.27644
Oct 14, 202631.2631.2931.2631.2931.291.33K
Oct 13, 202631.3231.3231.3231.3231.32165
Oct 12, 202631.2831.3231.2831.3231.32654
Oct 9, 202631.2631.3831.2631.3231.325.22K
Oct 8, 202631.2731.2731.2731.2731.277
Oct 7, 202631.2931.2931.2931.2931.297
Oct 6, 202631.3031.3031.3031.3031.3049
Oct 5, 202631.2631.2631.2631.2631.267
Oct 2, 202631.2331.2331.2331.2331.2311
Oct 1, 202631.1631.1631.1631.1631.167
Sep 30, 202631.1831.1831.1831.1831.187
Sep 29, 202631.1631.1631.1631.1631.1615
Sep 28, 202631.1731.1731.1731.1731.177
Sep 25, 202631.1831.1831.1831.1831.187
Sep 24, 202631.2031.2131.1631.1631.16547
Sep 23, 202631.1631.1631.1631.1631.169
Sep 22, 202631.2331.2331.1831.1831.18215
Sep 21, 202631.1631.1631.1631.1631.169
Sep 18, 202631.1331.1431.0931.0931.091.08K
Sep 17, 202631.0831.0831.0831.0831.08205
Sep 16, 202631.0431.0430.9831.0231.02606
Sep 15, 202631.0331.0331.0331.0331.0321
Sep 14, 202631.0531.0531.0531.0531.057
Sep 11, 202631.0731.0731.0731.0731.077
Sep 10, 202630.9231.0030.9231.0031.00207
Sep 9, 202631.0531.0531.0531.0531.05136
Sep 8, 202631.0931.0931.0931.0931.098
Sep 4, 202631.1231.1731.1231.1231.122.68K
Sep 3, 202631.1031.1031.1031.1031.107
Sep 2, 202631.0431.0431.0431.0431.0465
Sep 1, 202631.0031.0031.0031.0031.0058
Aug 31, 202631.0331.0331.0331.0331.037
Aug 28, 202631.0331.0331.0331.0331.037
Aug 27, 202631.0231.0231.0231.0231.029
Aug 26, 202630.9830.9830.9830.9830.987
Aug 25, 202630.9830.9830.9830.9830.987
Aug 24, 202630.9530.9530.9530.9530.959
Aug 21, 202630.9130.9630.8930.9630.9612.52K
Aug 20, 202630.8830.9230.8630.9230.9245.44K
Aug 19, 202630.9030.9530.8930.9530.951.57K
Aug 18, 202630.9930.9930.8530.9230.923.56K
Aug 17, 202630.9330.9330.9330.9330.9319
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 26, 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 FT Vest U.S. Equity Buffer & Digital Return ETF - April Historical Prices

What is OHLC data for DGAP?

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

The adjusted close price for DGAP 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 DGAP price history go?

DGAP historical price data is available from the ETF's inception on Apr 16, 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 DGAP data?

DGAP 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 DGAP?

Trading volume for DGAP 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.