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Neuberger China Equity ETF

NBCENYSEARCANeuberger BermanEquity

$33.72Today:- (-)1Y +2.82%

As of Oct 23, 2026 close

Assets (AUM)
$17.08M
Expense ratio
0.75%
Dividend yield
1.33%
Holdings
74
52-week range
$31.49$45.93
Volume (live)
-
Avg. volume (3M)
293

NBCE ETF Historical Prices: Neuberger China Equity ETF

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

NBCE Historical Price Chart: Trends & Patterns

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

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NBCE 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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NBCE 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 23, 202633.7333.7333.7233.7233.726
Oct 22, 202633.4133.4133.4133.4133.4146
Oct 21, 202634.3334.3734.3134.3734.37259
Oct 20, 202634.3434.4834.3434.4834.48255
Oct 19, 202634.5834.5834.5834.5834.588
Oct 16, 202634.5534.5534.3034.3034.30295
Oct 15, 202634.6534.6534.6334.6334.63309
Oct 14, 202634.9134.9134.9134.9134.9110
Oct 13, 202635.9135.9135.9135.9135.9134
Oct 12, 202636.1036.1036.1036.1036.108
Oct 9, 202636.6336.6336.6336.6336.636
Oct 8, 202636.3636.3636.3636.3636.3612
Oct 7, 202636.8436.8436.8436.8436.8412
Oct 6, 202637.1837.1836.6837.1237.125.11K
Oct 5, 202637.1937.1937.1937.1937.19205
Oct 2, 202636.7936.7936.7936.7936.7994
Oct 1, 202636.9837.0236.9837.0237.02282
Sep 30, 202637.1537.1537.1537.1537.1517
Sep 29, 202637.2837.2837.2837.2837.2813
Sep 28, 202637.4837.4837.2037.2037.21888
Sep 25, 202638.0638.0637.9637.9637.96325
Sep 24, 202638.1438.1438.1438.1438.1415
Sep 23, 202638.7138.7138.7138.7138.7171
Sep 22, 202639.3339.3339.3339.3339.3314
Sep 21, 202639.3739.3739.3739.3739.3718
Sep 18, 202638.9838.9838.9838.9838.9813
Sep 17, 202638.5038.5038.5038.5038.50147
Sep 16, 202638.2538.2538.2538.2538.2579
Sep 15, 202638.1938.1938.1938.1938.1914
Sep 14, 202638.3638.3638.3638.3638.36237
Sep 11, 202638.3538.3538.3538.3538.3514
Sep 10, 202638.4038.4038.4038.4038.4049
Sep 9, 202638.8638.8638.8638.8638.8626
Sep 8, 202638.7938.7938.7938.7938.7948
Sep 4, 202639.1639.1639.1639.1639.1614
Sep 3, 202639.0539.1839.0539.1839.18176
Sep 2, 202638.9638.9638.9638.9638.9634
Sep 1, 202639.2139.2139.2139.2139.2160
Aug 31, 202639.6839.6839.6439.6439.64164
Aug 28, 202639.9339.9339.8839.8839.88424
Aug 27, 202640.2040.2040.1340.1340.13214
Aug 26, 202639.5539.7039.5539.7039.70341
Aug 25, 202639.5139.5239.4939.4939.507.85K
Aug 24, 202639.3339.3339.1639.1639.16368
Aug 21, 202640.0040.0840.0040.0840.08278
Aug 20, 202639.5539.5839.5539.5839.58649
Aug 19, 202639.6639.6639.6639.6639.6630
Aug 18, 202640.9140.9140.9140.9140.9147
Aug 17, 202641.1041.1041.1041.1041.10326
Aug 14, 202640.2940.2940.2940.2940.2937
Show:
of 126

Source: Daily exchange trading data. Data as of Oct 23, 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 Neuberger China Equity ETF Historical Prices

What is OHLC data for NBCE?

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

The adjusted close price for NBCE 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 NBCE price history go?

NBCE historical price data is available from the ETF's inception on Jul 16, 2013. 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 NBCE data?

NBCE 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 NBCE?

Trading volume for NBCE 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.