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FT Vest U.S. Equity Max Buffer ETF - June

JUNMBATSFirst TrustAlternative

$35.53Today:- (-)1Y +4.69%

As of Oct 26, 2026 close

Assets (AUM)
$67.31M
Expense ratio
0.85%
Dividend yield
-
Holdings
-
52-week range
$33.77$35.59
Volume (live)
-
Avg. volume (3M)
2.64K

JUNM ETF Historical Prices: FT Vest U.S. Equity Max Buffer ETF - June

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

JUNM Historical Price Chart: Trends & Patterns

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

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JUNM 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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JUNM 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, 202635.4935.5435.4935.5235.521.66K
Oct 23, 202635.4335.4935.4335.4935.491.38K
Oct 22, 202635.4635.5035.4535.5035.50682
Oct 21, 202635.5535.5635.5435.5635.572.24K
Oct 20, 202635.5835.5835.5135.5335.534.29K
Oct 19, 202635.5735.5735.4935.5235.521.14K
Oct 16, 202635.5935.5935.4835.4835.481.86K
Oct 15, 202635.4735.5235.4735.5135.5111.96K
Oct 14, 202635.4135.5035.4135.5035.501.69K
Oct 13, 202635.5935.5935.5435.5935.59964
Oct 12, 202635.5535.5935.5535.5935.59311
Oct 9, 202635.5335.5835.5335.5835.583.87K
Oct 8, 202635.3835.5335.3835.5335.533.38K
Oct 7, 202635.5235.5535.5135.5535.56897
Oct 6, 202635.5335.5735.5235.5735.57725
Oct 5, 202635.4935.5435.4935.5235.521.17K
Oct 2, 202635.4535.4835.4535.4835.487.56K
Oct 1, 202635.3535.4235.3535.4235.43980
Sep 30, 202635.4535.4535.4135.4135.41265
Sep 29, 202635.3735.4435.3735.4035.403.52K
Sep 28, 202635.4235.4435.3735.4135.421.74K
Sep 25, 202635.4335.4535.3935.4535.457.72K
Sep 24, 202635.2435.4135.2435.4035.40903
Sep 23, 202635.3735.4235.3735.4135.411.35K
Sep 22, 202635.3035.4535.3035.4535.451.09K
Sep 21, 202635.4335.4535.3735.4535.451.69K
Sep 18, 202635.3035.3435.3035.3435.34664
Sep 17, 202635.3035.3435.3035.3435.34434
Sep 16, 202635.3135.3135.2635.2635.26708
Sep 15, 202635.2835.3035.2735.3035.301.18K
Sep 14, 202635.4435.4435.2935.3335.3312.75K
Sep 11, 202635.4035.4035.3635.3635.36166
Sep 10, 202635.3035.3035.3035.3035.3070
Sep 9, 202635.3835.3935.3535.3535.35823
Sep 8, 202635.4035.4035.4035.4035.4071
Sep 4, 202635.4335.4335.4335.4335.438
Sep 3, 202635.4335.4735.4335.4435.441.98K
Sep 2, 202635.3635.3635.3635.3635.36128
Sep 1, 202635.3435.3435.3335.3335.33319
Aug 31, 202635.3735.3735.3235.3735.373.08K
Aug 28, 202635.3935.3935.3935.3935.39356
Aug 27, 202635.4335.4335.4135.4135.41293
Aug 26, 202635.4935.4935.3235.3635.3627.48K
Aug 25, 202635.3635.3635.3635.3635.36715
Aug 24, 202635.3435.4035.3435.4035.407.20K
Aug 21, 202635.3235.4135.3235.3635.365.51K
Aug 20, 202635.3735.3735.3635.3635.36327
Aug 19, 202635.3835.3935.3835.3935.39378
Aug 18, 202635.3335.3735.3335.3735.3710.65K
Aug 17, 202635.4135.4135.3835.4135.41619
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 Max Buffer ETF - June Historical Prices

What is OHLC data for JUNM?

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

The adjusted close price for JUNM 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 JUNM price history go?

JUNM historical price data is available from the ETF's inception on Jun 20, 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 JUNM data?

JUNM 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 JUNM?

Trading volume for JUNM 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.