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

DGJABATSFirst TrustAlternative

$32.29Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$4.84M
Expense ratio
0.85%
Dividend yield
-
Holdings
-
52-week range
$29.40$32.35
Volume (live)
-
Avg. volume (3M)
249

DGJA ETF Historical Prices: FT Vest U.S. Equity Buffer & Digital Return ETF - January

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

DGJA Historical Price Chart: Trends & Patterns

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

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DGJA 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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DGJA 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, 202632.2832.2832.2832.2832.28100
Oct 15, 202632.3332.3332.3332.3332.33100
Oct 14, 202632.3332.3332.3332.3332.33100
Oct 13, 202632.3432.3432.3432.3432.34100
Oct 12, 202632.3532.3532.3532.3532.35100
Oct 9, 202632.3532.3532.3432.3432.34200
Oct 8, 202632.3232.3232.3232.3232.32100
Oct 7, 202632.3332.3332.3332.3332.33100
Oct 6, 202632.3132.3132.3132.3132.31100
Oct 5, 202632.2832.2832.2832.2832.28100
Oct 2, 202632.2832.2832.2832.2832.28100
Oct 1, 202632.2332.2332.2332.2332.23100
Sep 30, 202632.2632.2632.2632.2632.26100
Sep 29, 202632.2332.2332.2332.2332.23100
Sep 28, 202632.2332.2332.2332.2332.23100
Sep 25, 202632.2432.2432.2432.2432.24100
Sep 24, 202632.2532.2532.2232.2232.22500
Sep 23, 202632.2332.2332.2332.2332.23100
Sep 22, 202632.2432.2432.2432.2432.24100
Sep 21, 202632.2232.2232.2232.2232.22100
Sep 18, 202632.1632.1632.1632.1632.16100
Sep 17, 202632.2032.2032.1532.1532.15300
Sep 16, 202632.0832.0832.0832.0832.08100
Sep 15, 202632.1732.1732.1232.1232.12406
Sep 14, 202632.1232.1232.1232.1232.126
Sep 11, 202632.1332.1332.1332.1332.136
Sep 10, 202632.0832.0832.0832.0832.086
Sep 9, 202632.1232.1232.1232.1232.126
Sep 8, 202632.1432.1432.1432.1432.146
Sep 4, 202632.1632.2132.1632.1632.165.86K
Sep 3, 202632.1432.1432.1432.1432.146
Sep 2, 202632.0632.1032.0632.1032.10174
Sep 1, 202632.0732.0732.0732.0732.0753
Aug 31, 202632.1032.1032.1032.1032.106
Aug 28, 202632.1032.1032.1032.1032.106
Aug 27, 202632.0932.0932.0932.0932.096
Aug 26, 202632.0632.0632.0632.0632.066
Aug 25, 202632.0832.0832.0532.0532.05506
Aug 24, 202632.0332.0332.0332.0332.036
Aug 21, 202632.0432.0432.0432.0432.046
Aug 20, 202632.0232.0232.0232.0232.026
Aug 19, 202632.0232.0232.0232.0232.026
Aug 18, 202632.0032.0032.0032.0032.006
Aug 17, 202632.0232.0232.0232.0232.023.29K
Aug 14, 202632.0632.0632.0232.0232.02256
Aug 13, 202632.0132.0132.0132.0132.016
Aug 12, 202631.9831.9831.9831.9831.986
Aug 11, 202631.9731.9731.9731.9731.976
Aug 10, 202631.9731.9731.9731.9731.976
Aug 7, 202631.9631.9631.9631.9631.966
Show:
of 127

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 FT Vest U.S. Equity Buffer & Digital Return ETF - January Historical Prices

What is OHLC data for DGJA?

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

The adjusted close price for DGJA 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 DGJA price history go?

DGJA historical price data is available from the ETF's inception on Jan 15, 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 DGJA data?

DGJA 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 DGJA?

Trading volume for DGJA 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.