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Guru Favorite Stocks ETF

GFGFNASDAQAlpha ArchitectEquity

$35.41Today:- (-)1Y +4.44%

As of Oct 23, 2026 close

Assets (AUM)
$32.92M
Expense ratio
0.66%
Dividend yield
0.21%
Holdings
32
52-week range
$30.65$37.17
Volume (live)
-
Avg. volume (3M)
1.13K

GFGF ETF Historical Prices: Guru Favorite Stocks ETF

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

GFGF Historical Price Chart: Trends & Patterns

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

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GFGF 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 · Daily125 records
Showing 1-50 of 125
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GFGF 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, 202635.5735.5735.3935.4135.413.76K
Oct 22, 202635.6235.6235.5735.5735.571.01K
Oct 21, 202636.1436.3036.1436.3036.302.05K
Oct 20, 202636.1136.1136.0036.0036.006.32K
Oct 19, 202636.3736.3736.0536.1936.0313.20K
Oct 16, 202635.9435.9435.9435.9435.78182
Oct 15, 202636.4136.4136.4136.4136.2621
Oct 14, 202636.4336.4336.4336.4336.28143
Oct 13, 202636.8836.8836.8836.8836.7365
Oct 12, 202636.9436.9436.9436.9436.78157
Oct 9, 202636.9736.9736.9736.9736.817
Oct 8, 202636.7736.7836.7736.7836.62636
Oct 7, 202637.1037.1037.1037.1036.9418
Oct 6, 202637.1737.1737.1137.1136.95659
Oct 5, 202636.8837.0536.8837.0136.851.11K
Oct 2, 202636.5536.5936.5336.5936.43557
Oct 1, 202636.3036.3436.3036.3436.19631
Sep 30, 202636.3036.3036.3036.3036.1434
Sep 29, 202636.3336.3336.3336.3336.1824
Sep 28, 202636.3436.3436.3436.3436.1923
Sep 25, 202636.5336.5336.5136.5236.37296
Sep 24, 202636.1736.3036.1736.3036.14570
Sep 23, 202636.2536.2536.2536.2536.1022
Sep 22, 202636.4136.5036.4136.4836.32592
Sep 21, 202636.4036.5836.4036.5836.43300
Sep 18, 202636.1236.1236.1236.1235.9725
Sep 17, 202636.1036.1036.1036.1035.9422
Sep 16, 202635.8635.8635.8635.8635.71207
Sep 15, 202636.0036.0036.0036.0035.8544
Sep 14, 202636.3536.3536.3436.3436.191.22K
Sep 11, 202636.1836.1836.1836.1836.0340
Sep 10, 202635.9035.9035.9035.9035.7571
Sep 9, 202636.1336.1336.0236.0235.871.82K
Sep 8, 202636.2936.2936.2936.2936.1331
Sep 4, 202636.7136.7136.7136.7136.5657
Sep 3, 202636.9736.9736.9736.9736.8175
Sep 2, 202636.5836.5836.5836.5836.4216
Sep 1, 202636.4536.4536.4536.4536.3049
Aug 31, 202636.7536.7536.7536.7536.5984
Aug 28, 202637.0137.0137.0137.0136.8618
Aug 27, 202637.0037.0036.9136.9536.79375
Aug 26, 202636.7936.7936.7936.7936.6414
Aug 25, 202636.8536.8536.8536.8536.6953
Aug 24, 202636.8336.8336.8336.8336.6857
Aug 21, 202636.6436.6436.6436.6436.4832
Aug 20, 202636.5636.5636.4836.4836.32196
Aug 19, 202636.6436.6436.6436.6436.48218
Aug 18, 202636.3536.3536.3536.3536.1949
Aug 17, 202636.4036.4136.4036.4136.25237
Aug 14, 202636.7836.7936.7736.7736.62399
Show:
of 125

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 Guru Favorite Stocks ETF Historical Prices

What is OHLC data for GFGF?

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

The adjusted close price for GFGF 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 GFGF price history go?

GFGF historical price data is available from the ETF's inception on Dec 15, 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 GFGF data?

GFGF 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 GFGF?

Trading volume for GFGF 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.