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Global X NASDAQ 100 Tail Risk ETF

QTRNASDAQGlobal XEquity

$33.25Today:- (-)1Y −7.54%

As of Oct 23, 2026 close

Assets (AUM)
$10.55M
Expense ratio
0.25%
Dividend yield
17.04%
Holdings
105
52-week range
$27.65$37.40
Volume (live)
-
Avg. volume (3M)
1.42K

QTR ETF Historical Prices: Global X NASDAQ 100 Tail Risk ETF

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

QTR Historical Price Chart: Trends & Patterns

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

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QTR 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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QTR 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, 202633.1633.2633.1433.2533.252.21K
Oct 22, 202633.2933.2933.2933.2933.29208
Oct 21, 202634.1034.1034.1034.1034.10171
Oct 20, 202633.8433.8433.7533.7533.75267
Oct 19, 202633.8433.8433.8433.8433.8439
Oct 16, 202633.5233.5233.5233.5233.52324
Oct 15, 202634.2134.2134.2134.2134.21116
Oct 14, 202634.2234.2234.2234.2234.22136
Oct 13, 202634.8734.8734.8534.8534.851.80K
Oct 12, 202635.0935.1034.9734.9734.971.62K
Oct 9, 202635.2235.2235.2135.2135.21133
Oct 8, 202635.3435.3535.0835.0835.081.40K
Oct 7, 202635.5035.5235.4435.5235.52865
Oct 6, 202635.6035.6035.6035.6035.60189
Oct 5, 202635.4235.4335.4235.4335.43326
Oct 2, 202635.1635.1635.1635.1635.1660
Oct 1, 202634.8834.8834.8834.8834.88148
Sep 30, 202634.9334.9334.8034.8034.80266
Sep 29, 202634.7034.7034.6434.6834.681.46K
Sep 28, 202634.4634.6234.4634.6234.62354
Sep 25, 202634.8334.9734.8334.9734.97573
Sep 24, 202634.5934.8634.5934.8634.86329
Sep 23, 202634.7534.8334.7534.8334.83607
Sep 22, 202635.0235.1034.9535.1035.102.30K
Sep 21, 202634.4634.8634.4634.8634.862.80K
Sep 18, 202633.8534.1933.8034.1934.19639
Sep 17, 202633.8133.8733.8133.8333.83484
Sep 16, 202633.6533.6533.1933.2233.222.31K
Sep 15, 202633.2033.4433.2033.2433.2420.00K
Sep 14, 202633.2633.6033.2633.4833.48562
Sep 11, 202633.6733.7733.6733.7433.74420
Sep 10, 202633.6433.6433.4733.4733.47177
Sep 9, 202633.9433.9433.7033.7933.79885
Sep 8, 202633.8933.8933.8933.8933.8923
Sep 4, 202633.9533.9533.9533.9533.9552
Sep 3, 202633.9933.9933.8833.8833.88982
Sep 2, 202633.5233.5233.5233.5233.52133
Sep 1, 202633.5033.5033.4733.4733.47297
Aug 31, 202633.6933.8833.6933.8833.881.41K
Aug 28, 202633.8733.8733.8733.8733.87119
Aug 27, 202634.0834.0834.0834.0834.0835
Aug 26, 202633.6533.6733.6333.6733.67508
Aug 25, 202633.6633.6633.6633.6633.6675
Aug 24, 202633.5033.5233.5033.5033.502.15K
Aug 21, 202633.8133.8133.8133.8133.81174
Aug 20, 202633.8033.8033.6633.7433.74791
Aug 19, 202633.9333.9333.9333.9333.9319
Aug 18, 202634.0734.0734.0234.0234.021.03K
Aug 17, 202634.6734.7234.5234.5534.552.92K
Aug 14, 202635.0535.0534.5934.5934.59361
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 Global X NASDAQ 100 Tail Risk ETF Historical Prices

What is OHLC data for QTR?

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

The adjusted close price for QTR 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 QTR price history go?

QTR historical price data is available from the ETF's inception on Aug 24, 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 QTR data?

QTR 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 QTR?

Trading volume for QTR 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.