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Corgi Total U.S. Market 2x Daily ETF

USXBATSCorgiEquity

$24.22Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$499.59K
Expense ratio
0.45%
Dividend yield
-
Holdings
5
52-week range
$22.89$25.92
Volume (live)
-
Avg. volume (3M)
156

USX ETF Historical Prices: Corgi Total U.S. Market 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.

USX Historical Price Chart: Trends & Patterns

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

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USX 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 · Daily95 records
Showing 1-50 of 95
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USX 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, 202624.2224.2224.2224.2224.22310
Oct 15, 202624.8224.8224.8224.8224.82166
Oct 14, 202624.7324.7324.5224.5724.572.78K
Oct 13, 202625.2025.2025.2025.2025.207
Oct 12, 202625.2325.2325.2325.2325.23102
Oct 9, 202625.3025.3025.3025.3025.30119
Oct 8, 202624.8825.0024.8825.0025.00119
Oct 7, 202625.2325.2325.2325.2325.2313
Oct 6, 202625.4225.4225.4225.4225.42173
Oct 5, 202625.1425.1425.1425.1425.14116
Oct 2, 202624.8424.8424.8424.8424.8460
Oct 1, 202624.3824.5024.3824.5024.50113
Sep 30, 202624.4624.4624.4624.4624.46127
Sep 29, 202624.5124.5124.5124.5124.5111
Sep 28, 202624.5924.5924.5924.5924.5921
Sep 25, 202625.0225.0225.0225.0225.0264
Sep 24, 202624.5924.8124.5924.8124.81164
Sep 23, 202624.8124.8124.8124.8124.8111
Sep 22, 202625.2525.2525.2525.2525.2558
Sep 21, 202625.2325.2325.2325.2325.2328
Sep 18, 202624.5024.5024.5024.5024.5041
Sep 17, 202624.5224.5224.5224.5224.5128
Sep 16, 202623.9823.9823.9823.9823.9713
Sep 15, 202624.1624.1624.1624.1624.1634
Sep 14, 202624.4424.4424.4424.4424.4413
Sep 11, 202624.6624.6624.6624.6624.6615
Sep 10, 202624.2624.2624.2624.2624.2630
Sep 9, 202624.5024.5824.5024.5824.58134
Sep 8, 202624.8424.8424.8424.8424.8417
Sep 4, 202625.1425.1425.1425.1425.1486
Sep 3, 202625.3125.3125.3125.3125.319
Sep 2, 202624.7924.7924.7924.7924.7927
Sep 1, 202624.5524.5524.5524.5524.5410
Aug 31, 202625.0025.0025.0025.0025.0018
Aug 28, 202625.1625.1625.1625.1625.1625
Aug 27, 202625.3425.3425.3425.3425.349
Aug 26, 202625.0425.0425.0425.0425.0470
Aug 25, 202625.0325.0325.0325.0325.0312
Aug 24, 202624.8924.8924.8924.8924.89154
Aug 21, 202625.0725.0725.0725.0725.0720
Aug 20, 202624.8524.8524.8524.8524.8561
Aug 19, 202625.3625.4325.2825.2825.28653
Aug 18, 202625.3225.3225.2025.2025.20548
Aug 17, 202625.6025.6025.6025.6025.6050
Aug 14, 202625.8225.8225.8225.8225.8211
Aug 13, 202625.9225.9225.9225.9225.9210
Aug 12, 202625.6625.6625.5925.5925.59219
Aug 11, 202625.4325.4325.4325.4325.43105
Aug 10, 202625.5725.5725.5625.5625.56268
Aug 7, 202625.6125.6125.6125.6125.61103
Show:
of 95

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 Total U.S. Market 2x Daily ETF Historical Prices

What is OHLC data for USX?

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

The adjusted close price for USX 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 USX price history go?

USX historical price data is available from the ETF's inception on Jun 2, 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 USX data?

USX 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 USX?

Trading volume for USX 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.