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FT Vest U.S. Equity Dual Directional Buffer ETF - November

DLNVBATSFirst TrustAlternative

$33.96Today:- (-)

As of Oct 26, 2026 close

Assets (AUM)
$20.31M
Expense ratio
0.85%
Dividend yield
-
Holdings
-
52-week range
$29.95$34.01
Volume (live)
-
Avg. volume (3M)
1.30K

DLNV ETF Historical Prices: FT Vest U.S. Equity Dual Directional Buffer ETF - November

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

DLNV Historical Price Chart: Trends & Patterns

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

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DLNV 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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DLNV 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 27, 202634.0034.0534.0034.0534.05477
Oct 26, 202633.9533.9533.9533.9533.95320
Oct 23, 202633.9133.9133.8833.8833.881.04K
Oct 22, 202633.9033.9033.8933.9033.90954
Oct 21, 202634.0134.0333.9934.0234.026.97K
Oct 20, 202633.9833.9833.9833.9833.986
Oct 19, 202633.9533.9533.9533.9533.956
Oct 16, 202633.8733.8733.8733.8733.876
Oct 15, 202633.9833.9833.9833.9833.988
Oct 14, 202633.9233.9233.9233.9233.9255
Oct 13, 202634.0134.0133.9734.0134.01715
Oct 12, 202633.9834.0133.9834.0134.01380
Oct 9, 202634.0134.0133.9833.9833.98132
Oct 8, 202633.9733.9733.9233.9233.92280
Oct 7, 202633.9433.9833.9433.9533.95649
Oct 6, 202633.9733.9733.9733.9733.97310
Oct 5, 202633.9133.9233.9133.9233.92186
Oct 2, 202633.8533.8533.8533.8533.8516
Oct 1, 202633.7333.7933.7333.7933.791.08K
Sep 30, 202633.7833.7833.7833.7833.7861
Sep 29, 202633.7533.7533.7533.7533.7516
Sep 28, 202633.7733.7733.7733.7733.7793
Sep 25, 202633.8333.8333.8333.8333.83105
Sep 24, 202633.7133.7633.7133.7633.7624.27K
Sep 23, 202633.7733.7733.7733.7733.77202
Sep 22, 202633.8333.8333.8333.8333.8310
Sep 21, 202633.8033.8033.8033.8033.8096
Sep 18, 202633.6533.6633.6533.6633.66465
Sep 17, 202633.6633.6633.6633.6633.6612
Sep 16, 202633.4933.4933.4933.4933.4987
Sep 15, 202633.5233.5533.5233.5333.53416
Sep 14, 202633.6033.6033.6033.6033.6049
Sep 11, 202633.6333.6333.6333.6333.6310
Sep 10, 202633.5133.5133.5133.5133.5110
Sep 9, 202633.5633.5933.5633.5933.59139
Sep 8, 202633.6333.6333.6333.6333.6368
Sep 4, 202633.6633.6633.6633.6633.6610
Sep 3, 202633.6733.6733.6733.6733.6710
Sep 2, 202633.5833.6033.5833.5833.581.08K
Sep 1, 202633.5733.5733.5233.5233.521.92K
Aug 31, 202633.5833.5833.5833.5833.589
Aug 28, 202633.5933.5933.5933.5933.598
Aug 27, 202633.5933.5933.5933.5933.598
Aug 26, 202633.5533.5533.5533.5533.548
Aug 25, 202633.5433.5433.5433.5433.54508
Aug 24, 202633.4933.4933.4933.4933.498
Aug 21, 202633.5133.5133.5133.5133.5148
Aug 20, 202633.4233.4233.4233.4233.42108
Aug 19, 202633.5533.5533.5233.5233.52108
Aug 18, 202633.4533.4533.4533.4533.45130
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 27, 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 Dual Directional Buffer ETF - November Historical Prices

What is OHLC data for DLNV?

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

The adjusted close price for DLNV 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 DLNV price history go?

DLNV historical price data is available from the ETF's inception on Nov 23, 2025. 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 DLNV data?

DLNV 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 DLNV?

Trading volume for DLNV 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.