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IDX Alternative FIAT ETF

GLDBNASDAQIDXAsset Allocation

$21.80Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
$73.92M
Expense ratio
0.96%
Dividend yield
0.21%
Holdings
13
52-week range
$18.67$30.73
Volume (live)
-
Avg. volume (3M)
14.18K

GLDB ETF Historical Prices: IDX Alternative FIAT ETF

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

GLDB Historical Price Chart: Trends & Patterns

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

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GLDB 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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GLDB 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 15, 202621.7021.8221.6921.8021.802.98K
Oct 14, 202621.5821.7321.3921.4421.448.41K
Oct 13, 202622.1722.1722.0722.0722.071.25K
Oct 12, 202622.1722.1722.0622.1022.102.57K
Oct 9, 202622.1722.3122.1722.1722.1766.10K
Oct 8, 202621.6621.8321.6621.8321.8317.96K
Oct 7, 202621.9822.1021.9822.0222.021.85K
Oct 6, 202622.6622.7122.5522.6122.614.67K
Oct 5, 202622.6222.6222.4222.5322.531.22K
Oct 2, 202622.3922.4022.3422.3622.367.33K
Oct 1, 202622.3622.5522.3622.5522.553.37K
Sep 30, 202622.4422.4522.2822.3222.321.85K
Sep 29, 202622.5322.5322.2922.4822.483.73K
Sep 28, 202622.3222.3922.2622.2622.263.78K
Sep 25, 202623.0323.1422.8923.0723.0717.07K
Sep 24, 202623.0023.0322.9123.0223.0265.05K
Sep 23, 202623.3023.3023.0723.0923.103.21K
Sep 22, 202623.4623.8223.4623.7823.785.17K
Sep 21, 202623.4923.6723.4923.6723.673.49K
Sep 18, 202623.0323.2923.0323.2223.228.42K
Sep 17, 202622.4822.4822.4522.4522.451.18K
Sep 16, 202622.1822.2521.8621.9721.97121.39K
Sep 15, 202622.2122.2122.0122.0922.0917.73K
Sep 14, 202622.2522.5322.2522.3922.394.42K
Sep 11, 202622.6822.9622.4422.5322.533.71K
Sep 10, 202622.4322.5222.3222.3222.328.43K
Sep 9, 202623.1723.1722.8922.9122.912.20K
Sep 8, 202622.9322.9322.7022.7322.7312.92K
Sep 4, 202622.9123.0822.9123.0823.083.60K
Sep 3, 202623.0023.5122.9923.4823.4820.28K
Sep 2, 202622.5022.6122.4622.5822.583.16K
Sep 1, 202622.6622.6622.2722.3522.352.20K
Aug 31, 202622.9623.1122.9623.1123.111.08K
Aug 28, 202624.0324.0322.8822.9522.955.20K
Aug 27, 202623.8223.9723.8223.8923.891.77K
Aug 26, 202623.7023.7023.6023.6123.61731
Aug 25, 202623.6523.9323.6523.8923.909.30K
Aug 24, 202623.9124.1423.7823.8623.861.43K
Aug 21, 202623.4123.6923.4023.6023.602.23K
Aug 20, 202622.5322.8222.5122.8222.8249.68K
Aug 19, 202621.3022.0421.3022.0422.044.96K
Aug 18, 202621.0021.0020.8120.8120.816.73K
Aug 17, 202621.0021.2321.0021.1821.183.74K
Aug 14, 202620.8420.8420.7920.8220.822.96K
Aug 13, 202620.9321.0020.7720.7720.7713.30K
Aug 12, 202621.1321.1321.0021.0021.004.19K
Aug 11, 202620.9520.9520.8020.8620.861.89K
Aug 10, 202620.9021.0720.9021.0421.043.56K
Aug 7, 202621.0221.0220.8020.8820.882.09K
Aug 6, 202620.5220.5220.3620.4220.425.89K
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 15, 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 IDX Alternative FIAT ETF Historical Prices

What is OHLC data for GLDB?

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

The adjusted close price for GLDB 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 GLDB price history go?

GLDB historical price data is available from the ETF's inception on Oct 22, 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 GLDB data?

GLDB 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 GLDB?

Trading volume for GLDB 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.