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AllianzIM U.S. Equity Buffer10 Nov ETF

NVBTBATSAllianzAlternative

$40.90Today:- (-)1Y +13.62%

As of Oct 16, 2026 close

Assets (AUM)
$30.71M
Expense ratio
0.74%
Dividend yield
-
Holdings
-
52-week range
$35.06$41.41
Volume (live)
-
Avg. volume (3M)
1.90K

NVBT ETF Historical Prices: AllianzIM U.S. Equity Buffer10 Nov ETF

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

NVBT Historical Price Chart: Trends & Patterns

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

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NVBT 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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NVBT 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, 202640.9040.9040.9040.9040.903.45K
Oct 15, 202640.9841.1240.9841.1241.12708
Oct 14, 202640.9740.9740.9740.9740.977
Oct 13, 202641.4141.4141.4141.4141.417
Oct 12, 202641.3841.3841.3741.3741.37611
Oct 9, 202641.3041.4041.3041.4041.40783
Oct 8, 202641.2041.2041.0341.1641.16937
Oct 7, 202641.3041.3041.3041.3041.30204
Oct 6, 202641.3941.3941.3741.3741.371.18K
Oct 5, 202640.7541.1940.7541.1641.161.34K
Oct 2, 202640.8940.9540.8940.9540.95726
Oct 1, 202640.5440.7240.4840.7040.705.59K
Sep 30, 202640.8340.8840.6640.6640.661.91K
Sep 29, 202640.7240.7240.6340.6840.681.04K
Sep 28, 202640.7340.7340.7340.7340.7312
Sep 25, 202640.8340.9840.8340.9840.98148
Sep 24, 202640.6240.8140.6240.8140.81633
Sep 23, 202640.8540.8540.7740.7840.7811.88K
Sep 22, 202641.0541.0741.0541.0741.07512
Sep 21, 202640.8941.0540.8841.0541.051.05K
Sep 18, 202640.3940.5540.3940.5540.552.94K
Sep 17, 202640.4340.5340.4340.5340.5315.47K
Sep 16, 202640.4040.4040.1140.1140.11516
Sep 15, 202640.2340.2540.2340.2540.251.27K
Sep 14, 202640.4740.4840.4440.4440.441.47K
Sep 11, 202640.5540.6040.5340.6040.604.08K
Sep 10, 202640.2840.2840.2840.2840.28382
Sep 9, 202640.4540.4640.4540.4640.46188
Sep 8, 202640.6740.6740.6140.6140.611.17K
Sep 4, 202640.7640.7640.7640.7640.7624
Sep 3, 202640.6840.8740.6840.8740.87212
Sep 2, 202640.5440.5640.5440.5640.56154
Sep 1, 202640.5240.5240.3440.3440.342.56K
Aug 31, 202640.5640.6040.5640.6040.60317
Aug 28, 202640.8640.8640.6940.6940.69216
Aug 27, 202640.6640.7340.6640.7340.73691
Aug 26, 202640.5340.5540.5340.5540.55749
Aug 25, 202640.4740.5340.4740.5340.531.98K
Aug 24, 202640.4440.5140.4140.5140.511.51K
Aug 21, 202640.5240.5240.5240.5240.5249
Aug 20, 202640.4140.4140.4140.4140.41123
Aug 19, 202640.6140.6140.6140.6140.6119
Aug 18, 202640.5740.5740.5540.5540.55198
Aug 17, 202640.6740.7040.6740.7040.709.18K
Aug 14, 202640.7740.7740.7740.7740.777
Aug 13, 202640.7740.7740.7740.7740.7755
Aug 12, 202640.6040.6240.6040.6240.621.16K
Aug 11, 202640.5540.5540.5540.5540.5543
Aug 10, 202640.6740.6740.6240.6240.62745
Aug 7, 202640.5740.6240.5740.6240.62338
Show:
of 126

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 AllianzIM U.S. Equity Buffer10 Nov ETF Historical Prices

What is OHLC data for NVBT?

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

The adjusted close price for NVBT 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 NVBT price history go?

NVBT historical price data is available from the ETF's inception on Oct 30, 2022. 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 NVBT data?

NVBT 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 NVBT?

Trading volume for NVBT 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.