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Gabelli High Income ETF

GBHINYSEARCAGAMCO InvestorsFixed Income

$24.61Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$5.92M
Expense ratio
0.01%
Dividend yield
4.80%
Holdings
93
52-week range
$24.21$25.65
Volume (live)
-
Avg. volume (3M)
168

GBHI ETF Historical Prices: Gabelli High Income ETF

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

GBHI Historical Price Chart: Trends & Patterns

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

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GBHI 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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GBHI 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, 202624.6124.6124.6124.6124.617
Oct 15, 202624.6324.6324.6324.6324.637
Oct 14, 202624.5024.5024.5024.5024.507
Oct 13, 202624.5424.5424.5424.5424.547
Oct 12, 202624.5324.5524.3924.5524.551.96K
Oct 9, 202624.5524.5524.5524.5524.5517
Oct 8, 202624.4924.4924.4924.4924.49110
Oct 7, 202624.4524.4524.4524.4524.4526
Oct 6, 202624.4524.4524.4524.4524.4515
Oct 5, 202624.3824.3824.3824.3824.3814
Oct 2, 202624.3424.3424.3424.3424.34415
Oct 1, 202624.2124.3224.2124.3224.32118
Sep 30, 202624.2724.2724.2724.2724.27436
Sep 29, 202624.2724.2724.2724.2724.2715
Sep 28, 202624.3924.3924.3924.3924.3953
Sep 25, 202624.8524.8624.8424.8424.49745
Sep 24, 202624.9124.9124.9124.9124.5511
Sep 23, 202625.0025.0025.0025.0024.6332
Sep 22, 202625.1625.1625.1625.1624.8013
Sep 21, 202625.1825.1825.1825.1824.8262
Sep 18, 202625.1625.1625.1625.1624.7914
Sep 17, 202625.2025.2025.2025.2024.8312
Sep 16, 202625.1525.1525.0925.1124.74505
Sep 15, 202625.1125.1125.1125.1124.7417
Sep 14, 202625.1625.1625.1625.1624.8021
Sep 11, 202625.2225.2225.2225.2224.8536
Sep 10, 202625.2225.2225.2225.2224.8511
Sep 9, 202625.2325.2325.1725.2324.87313
Sep 8, 202625.2725.2725.2725.2724.9128
Sep 4, 202625.2725.2725.2725.2724.9012
Sep 3, 202625.2925.2925.2925.2924.9211
Sep 2, 202625.2925.3025.2725.2724.91211
Sep 1, 202625.2625.2625.2625.2624.8911
Aug 31, 202625.3225.3225.3225.3224.9611
Aug 28, 202625.3225.3225.3225.3224.96111
Aug 27, 202625.3725.3725.3725.3725.0011
Aug 26, 202625.3825.3825.3725.3725.00411
Aug 25, 202625.3625.3625.3625.3624.9911
Aug 24, 202625.3225.3225.3225.3224.9611
Aug 21, 202625.3025.3025.3025.3024.9311
Aug 20, 202625.2925.2925.2925.2924.9212
Aug 19, 202625.3425.3425.3425.3424.9711
Aug 18, 202625.2925.2925.2925.2924.9211
Aug 17, 202625.3025.3025.3025.3024.9471
Aug 14, 202625.3225.3225.3225.3224.9512
Aug 13, 202625.3225.3225.3225.3224.9611
Aug 12, 202625.2725.2725.2725.2724.91371
Aug 11, 202625.2525.2525.2525.2524.8811
Aug 10, 202625.2325.2325.2325.2324.8731
Aug 7, 202625.2525.2525.2525.2524.8910
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 Gabelli High Income ETF Historical Prices

What is OHLC data for GBHI?

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

The adjusted close price for GBHI 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 GBHI price history go?

GBHI historical price data is available from the ETF's inception on Nov 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 GBHI data?

GBHI 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 GBHI?

Trading volume for GBHI 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.