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Corgi Quantum Computing 2x Daily ETF

XQTMBATSCorgiEquity

$7.70Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$317.49K
Expense ratio
0.45%
Dividend yield
-
Holdings
4
52-week range
$8.06$26.22
Volume (live)
-
Avg. volume (3M)
1.24K

XQTM ETF Historical Prices: Corgi Quantum Computing 2x Daily ETF

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

XQTM Historical Price Chart: Trends & Patterns

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

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XQTM 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 · Daily77 records
Showing 1-50 of 77
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XQTM 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, 20268.128.127.707.707.70645
Oct 15, 20267.788.717.788.718.711.73K
Oct 14, 20268.648.648.068.068.065.67K
Oct 13, 20269.419.449.309.309.301.35K
Oct 12, 202610.8110.819.789.789.782.22K
Oct 9, 202610.8810.8810.8810.8810.88269
Oct 8, 202611.4211.5310.7010.9810.988.53K
Oct 7, 202611.8911.9011.8911.9011.90359
Oct 6, 202612.8412.8412.7412.7412.741.38K
Oct 5, 202612.3912.5112.3912.5112.51543
Oct 2, 202612.6812.6812.6812.6812.6730
Oct 1, 202612.8912.8912.8912.8912.8924
Sep 30, 202613.2313.2312.8712.8712.87333
Sep 29, 202613.5313.5312.8512.8512.851.01K
Sep 28, 202613.2913.2913.2913.2913.2937
Sep 25, 202613.5013.7313.5013.7313.73244
Sep 24, 202612.9713.6112.9713.6113.61135
Sep 23, 202613.5313.5313.1313.1313.13977
Sep 22, 202613.1013.2413.1013.2413.24738
Sep 21, 202613.0013.2712.9113.2713.272.76K
Sep 18, 202611.9312.3411.9312.3412.342.81K
Sep 17, 202610.7012.7110.7012.7112.711.94K
Sep 16, 202611.7411.7411.5711.5711.57194
Sep 15, 202611.5811.5811.5811.5811.5829
Sep 14, 202612.1212.1211.7111.7111.71510
Sep 11, 202612.5612.5612.2512.2512.25935
Sep 10, 202612.3912.3912.1512.1512.15850
Sep 9, 202612.7512.7512.7512.7512.75262
Sep 8, 202613.7613.7613.3713.3713.37524
Sep 4, 202612.6012.6912.6012.6912.69670
Sep 3, 202612.6012.6012.6012.6012.6054
Sep 2, 202611.3712.6111.3712.6112.612.17K
Sep 1, 202612.4312.5612.2512.4312.431.90K
Aug 31, 202613.3113.3113.3113.3113.31110
Aug 28, 202613.4013.4013.4013.4013.40231
Aug 27, 202615.0015.0015.0015.0015.00242
Aug 26, 202614.1914.1914.1914.1914.19141
Aug 25, 202615.0515.1815.0515.1815.18165
Aug 24, 202614.8114.8114.5514.5514.55425
Aug 21, 202615.6516.5215.6516.5216.52500
Aug 20, 202614.9714.9714.4114.8114.811.11K
Aug 19, 202615.7715.7815.5215.5215.5210.26K
Aug 18, 202616.4616.5416.2616.2616.26653
Aug 17, 202618.1318.1317.9717.9717.97882
Aug 14, 202617.5418.2817.5418.0818.083.01K
Aug 13, 202617.7017.7517.7017.7517.75211
Aug 12, 202616.8817.5816.8817.5817.58700
Aug 11, 202616.0316.2716.0316.2716.27810
Aug 10, 202615.7915.7915.7915.7915.79201
Aug 7, 202616.5916.5916.5916.5916.5997
Show:
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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 Corgi Quantum Computing 2x Daily ETF Historical Prices

What is OHLC data for XQTM?

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

The adjusted close price for XQTM 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 XQTM price history go?

XQTM historical price data is available from the ETF's inception on Jun 29, 2026. 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 XQTM data?

XQTM 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 XQTM?

Trading volume for XQTM 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.