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Future Health Care Equity ETF

GDOCNYSEARCAGoldman SachsEquity

$36.87Today:- (-)1Y +11.31%

As of Oct 16, 2026 close

Assets (AUM)
$19.19M
Expense ratio
0.75%
Dividend yield
0.30%
Holdings
41
52-week range
$31.32$38.66
Volume (live)
-
Avg. volume (3M)
303

GDOC ETF Historical Prices: Future Health Care 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.

GDOC Historical Price Chart: Trends & Patterns

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

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GDOC 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 · Daily127 records
Showing 1-50 of 127
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GDOC 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, 202636.8936.8936.8736.8736.87118
Oct 15, 202637.3337.3337.3337.3337.3329
Oct 14, 202636.5536.5536.5536.5536.551
Oct 13, 202636.0236.0235.8635.8635.86119
Oct 12, 202636.4436.4436.4436.4436.446
Oct 9, 202636.5036.5036.5036.5036.5012
Oct 8, 202635.3935.9535.3935.9535.95143
Oct 7, 202636.3736.3736.3736.3736.3744
Oct 6, 202636.3136.3136.3136.3136.3112
Oct 5, 202636.7636.7636.7636.7636.7628
Oct 2, 202636.4936.4936.4936.4936.49129
Oct 1, 202636.5236.5236.5236.5236.5213
Sep 30, 202637.4537.4537.1437.1437.143.56K
Sep 29, 202637.5037.5037.5037.5037.5022
Sep 28, 202637.6137.6137.6137.6137.6112
Sep 25, 202637.4037.4037.4037.4037.4065
Sep 24, 202637.4237.4237.4237.4237.4288
Sep 23, 202637.4237.4236.9236.9236.92259
Sep 22, 202637.5437.5437.5437.5437.54100
Sep 21, 202637.3037.3037.3037.3037.30111
Sep 18, 202637.0337.0336.9937.0237.02549
Sep 17, 202637.2537.2537.2537.2537.2529
Sep 16, 202636.8436.8436.8436.8436.8413
Sep 15, 202636.6836.6836.6836.6836.6814
Sep 14, 202636.6536.7036.6136.7036.703.35K
Sep 11, 202636.3236.3236.3236.3236.32180
Sep 10, 202636.3536.3536.3536.3536.3515
Sep 9, 202636.7436.7436.6936.6936.69123
Sep 8, 202636.9036.9036.9036.9036.8926
Sep 4, 202637.3437.3437.3437.3437.3415
Sep 3, 202637.6937.6937.6937.6937.6914
Sep 2, 202637.4437.6737.4437.6737.67724
Sep 1, 202637.3437.3437.2637.3037.302.75K
Aug 31, 202637.3537.3537.3537.3537.3557
Aug 28, 202637.4837.4837.4437.4437.44279
Aug 27, 202638.1938.2037.9537.9537.95506
Aug 26, 202638.2338.3338.2238.2238.221.24K
Aug 25, 202638.4238.4238.4238.4238.42254
Aug 24, 202638.1538.3638.1538.2038.20726
Aug 21, 202638.6038.6038.4838.4838.483.40K
Aug 20, 202638.1338.1338.1338.1338.1322
Aug 19, 202638.6638.6638.6638.6638.6685
Aug 18, 202637.6037.6037.6037.6037.6045
Aug 17, 202637.1237.2637.1237.2637.26227
Aug 14, 202636.9236.9236.9236.9236.92101
Aug 13, 202637.2537.2537.2537.2537.25190
Aug 12, 202637.4537.4537.4537.4537.4515
Aug 11, 202637.3237.3237.2837.2837.28162
Aug 10, 202637.4137.4137.4137.4137.4142
Aug 7, 202636.9236.9236.9236.9236.9216
Show:
of 127

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 Future Health Care Equity ETF Historical Prices

What is OHLC data for GDOC?

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

The adjusted close price for GDOC 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 GDOC price history go?

GDOC historical price data is available from the ETF's inception on Nov 8, 2021. 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 GDOC data?

GDOC 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 GDOC?

Trading volume for GDOC 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.