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FT Vest US Equity Max Buffer ETF-February

FEBMBATSFirst TrustAlternative

$31.82Today:- (-)1Y +6.00%

As of Oct 26, 2026 close

Assets (AUM)
$46.06M
Expense ratio
0.85%
Dividend yield
-
Holdings
-
52-week range
$29.88$31.86
Volume (live)
-
Avg. volume (3M)
1.95K

FEBM ETF Historical Prices: FT Vest US Equity Max Buffer ETF-February

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

FEBM Historical Price Chart: Trends & Patterns

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

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FEBM 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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FEBM 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, 202631.8331.8331.8231.8231.825.00K
Oct 23, 202631.8231.8231.7931.7931.79406
Oct 22, 202631.7731.7931.7531.7931.791.23K
Oct 21, 202631.8131.8431.8131.8431.84772
Oct 20, 202631.8131.8231.7831.8231.821.24K
Oct 19, 202631.7031.7831.7031.7831.781.39K
Oct 16, 202631.8631.8631.7531.7531.7510.81K
Oct 15, 202631.7831.7831.7831.7831.78205
Oct 14, 202631.7831.7831.7831.7831.78128
Oct 13, 202631.8431.8431.8231.8231.82314
Oct 12, 202631.8031.8431.8031.8431.841.03K
Oct 9, 202631.8231.8231.8231.8231.82104
Oct 8, 202631.7831.8031.7731.8031.80680
Oct 7, 202631.8031.8031.8031.8031.802.42K
Oct 6, 202631.8231.8231.8231.8231.8249
Oct 5, 202631.7931.7931.7331.7831.78701
Oct 2, 202631.7331.7631.7331.7631.76514
Oct 1, 202631.6731.7131.6631.7131.71724
Sep 30, 202631.7331.7331.7031.7131.71328
Sep 29, 202631.6831.7131.6731.7131.711.01K
Sep 28, 202631.6831.7031.6731.7031.702.92K
Sep 25, 202631.6931.7531.6931.7331.733.71K
Sep 24, 202631.6531.7031.6531.7031.701.68K
Sep 23, 202631.6831.7031.6831.7031.70536
Sep 22, 202631.6731.7331.6731.7331.732.47K
Sep 21, 202631.7231.7331.6631.7031.702.41K
Sep 18, 202631.6231.6431.6231.6431.641.02K
Sep 17, 202631.6131.6731.6031.6431.6410.11K
Sep 16, 202631.5931.5931.5931.5931.5959
Sep 15, 202631.5831.6331.5831.6331.634.60K
Sep 14, 202631.6431.6431.5931.5931.59845
Sep 11, 202631.6131.6131.6131.6131.61136
Sep 10, 202631.5731.6431.5631.5631.56919
Sep 9, 202631.6031.6031.6031.6031.60113
Sep 8, 202631.6631.6631.6131.6131.611.85K
Sep 4, 202631.6531.6831.6331.6831.6812.03K
Sep 3, 202631.6931.6931.6431.6731.673.00K
Sep 2, 202631.6031.6531.6031.6431.64732
Sep 1, 202631.6131.6131.6131.6131.61400
Aug 31, 202631.5931.6431.5931.6431.64346
Aug 28, 202631.6231.6331.6231.6331.63378
Aug 27, 202631.6331.6731.5931.6331.636.92K
Aug 26, 202631.7131.7131.6031.6131.611.70K
Aug 25, 202631.5531.5931.5531.5931.597.98K
Aug 24, 202631.5931.5931.5931.5931.5998
Aug 21, 202631.5931.5931.5931.5931.59117
Aug 20, 202631.5431.5931.5431.5731.57843
Aug 19, 202631.5931.5931.5531.5931.596.49K
Aug 18, 202631.5831.5831.5331.5831.58525
Aug 17, 202631.5531.5931.5531.5931.59559
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 US Equity Max Buffer ETF-February Historical Prices

What is OHLC data for FEBM?

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

The adjusted close price for FEBM 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 FEBM price history go?

FEBM historical price data is available from the ETF's inception on Feb 20, 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 FEBM data?

FEBM 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 FEBM?

Trading volume for FEBM 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.