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

JANMBATSFirst TrustAlternative

$34.54Today:- (-)1Y +6.00%

As of Oct 26, 2026 close

Assets (AUM)
$37.05M
Expense ratio
0.85%
Dividend yield
-
Holdings
-
52-week range
$32.44$34.57
Volume (live)
-
Avg. volume (3M)
2.13K

JANM ETF Historical Prices: FT Vest U.S. Equity Max Buffer 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.

JANM Historical Price Chart: Trends & Patterns

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

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JANM 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 · Daily126 records
Showing 1-50 of 126
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JANM 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, 202634.5234.5534.5234.5434.546.13K
Oct 23, 202634.4834.4834.4834.4834.4835
Oct 22, 202634.4934.4934.4934.4934.49243
Oct 21, 202634.5634.5634.5634.5634.567
Oct 20, 202634.5134.5434.5134.5434.541.98K
Oct 19, 202634.4934.5234.4934.5234.522.01K
Oct 16, 202634.5734.5734.4534.4834.483.23K
Oct 15, 202634.5234.5234.5234.5234.5279
Oct 14, 202634.5134.5134.5034.5034.50214
Oct 13, 202634.5134.5534.5134.5534.553.16K
Oct 12, 202634.5534.5534.5534.5534.5518
Oct 9, 202634.5034.5534.5034.5534.55154
Oct 8, 202634.3434.5034.3434.5034.501.34K
Oct 7, 202634.4634.5234.4634.5234.52692
Oct 6, 202634.4934.5334.4834.5334.543.23K
Oct 5, 202634.5034.5034.4434.4934.495.77K
Oct 2, 202634.4734.4734.4334.4734.47962
Oct 1, 202634.3934.4034.3934.4034.407.36K
Sep 30, 202634.4134.4134.3834.3834.38623
Sep 29, 202634.3934.4234.3834.3834.382.04K
Sep 28, 202634.4034.4334.4034.4134.414.15K
Sep 25, 202634.3134.4534.3134.4534.454.65K
Sep 24, 202634.3534.4034.3534.4034.40602
Sep 23, 202634.4034.4134.4034.4134.41539
Sep 22, 202634.4034.4334.3934.4334.43667
Sep 21, 202634.4334.4334.4134.4134.41312
Sep 18, 202634.3434.3434.3434.3434.332.39K
Sep 17, 202634.3334.3334.2934.3334.331.83K
Sep 16, 202634.3434.3434.2634.2634.26545
Sep 15, 202634.2534.2734.2434.2534.259.05K
Sep 14, 202634.2734.3034.2334.3034.303.08K
Sep 11, 202634.3034.3534.2934.3334.334.63K
Sep 10, 202634.2734.2734.2734.2734.27331
Sep 9, 202634.3334.3334.3034.3034.301.84K
Sep 8, 202634.3234.3234.3234.3234.3294
Sep 4, 202634.3434.3434.3434.3434.347
Sep 3, 202634.3534.3534.3534.3534.35125
Sep 2, 202634.2634.2834.2634.2834.28404
Sep 1, 202634.2634.2634.2634.2634.2682
Aug 31, 202634.2934.2934.2934.2934.2920
Aug 28, 202634.2834.3434.2834.3034.30804
Aug 27, 202634.2934.2934.2934.2934.297
Aug 26, 202634.4134.4134.2734.2734.271.03K
Aug 25, 202634.2534.2634.2434.2434.24457
Aug 24, 202634.2134.2334.2134.2334.23427
Aug 21, 202634.2234.2234.2234.2234.22113
Aug 20, 202634.2434.2434.2334.2334.23440
Aug 19, 202634.2334.2434.2234.2334.23720
Aug 18, 202634.2334.2334.2334.2334.2383
Aug 17, 202634.2734.2734.2234.2234.221.11K
Show:
of 126

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 - January Historical Prices

What is OHLC data for JANM?

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

The adjusted close price for JANM 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 JANM price history go?

JANM historical price data is available from the ETF's inception on Jan 16, 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 JANM data?

JANM 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 JANM?

Trading volume for JANM 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.