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Corgi AGIX 2x Daily ETF

XAGIBATSCorgiEquity

$17.90Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$435.65K
Expense ratio
0.45%
Dividend yield
-
Holdings
4
52-week range
$15.76$25.47
Volume (live)
-
Avg. volume (3M)
166

XAGI ETF Historical Prices: Corgi AGIX 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.

XAGI Historical Price Chart: Trends & Patterns

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

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XAGI 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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XAGI 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, 202617.9017.9017.9017.9017.90278
Oct 15, 202619.3519.3519.3519.3519.3517
Oct 14, 202619.3419.3419.3419.3419.347
Oct 13, 202621.0421.0421.0421.0421.04219
Oct 12, 202621.2321.2321.2321.2321.2432
Oct 9, 202622.0222.0221.9221.9221.92661
Oct 8, 202621.9221.9221.1821.3421.34263
Oct 7, 202622.4822.4822.4822.4822.4823
Oct 6, 202623.0223.0223.0223.0223.02187
Oct 5, 202622.4822.6622.4822.6622.67240
Oct 2, 202622.1622.7722.1622.3222.32780
Oct 1, 202621.3821.7021.3821.7021.70217
Sep 30, 202621.3721.3721.2821.2821.28141
Sep 29, 202621.3721.3721.3721.3721.3717
Sep 28, 202621.0921.0921.0921.0921.0814
Sep 25, 202621.8621.8621.8621.8621.8615
Sep 24, 202621.9021.9021.9021.9021.9043
Sep 23, 202621.7921.7921.7921.7921.7916
Sep 22, 202622.4122.4122.3422.3422.34224
Sep 21, 202621.9521.9521.9521.9521.9541
Sep 18, 202620.2720.4620.2720.4620.461.02K
Sep 17, 202620.1020.1020.1020.1020.1025
Sep 16, 202619.1919.1919.1919.1919.1919
Sep 15, 202619.0819.0818.8618.8618.86234
Sep 14, 202619.1419.1419.1419.1419.1456
Sep 11, 202620.0120.0120.0120.0120.0164
Sep 10, 202619.5819.5819.5819.5819.5812
Sep 9, 202620.4220.4220.4220.4220.4246
Sep 8, 202620.4020.5220.4020.5220.52202
Sep 4, 202619.9920.1119.9920.1120.11138
Sep 3, 202619.6219.6219.6219.6219.6213
Sep 2, 202618.5118.6918.5118.6318.63505
Sep 1, 202618.7218.7218.7218.7218.7268
Aug 31, 202619.5919.5919.5919.5919.5928
Aug 28, 202619.4719.4719.4719.4719.4776
Aug 27, 202620.2520.2520.2520.2520.25104
Aug 26, 202619.3319.3319.3319.3319.3319
Aug 25, 202619.1919.1919.1919.1919.198
Aug 24, 202618.7018.7018.7018.7018.70212
Aug 21, 202619.4319.4319.4319.4319.4348
Aug 20, 202619.2719.2719.2719.2719.278
Aug 19, 202619.1719.1719.1719.1719.1755
Aug 18, 202619.4319.4319.4319.4319.4397
Aug 17, 202621.1021.1021.1021.1021.1054
Aug 14, 202620.9720.9720.9720.9720.9760
Aug 13, 202621.0821.0821.0821.0821.0829
Aug 12, 202620.7520.7520.7520.7520.7525
Aug 11, 202619.8519.8519.8519.8519.8545
Aug 10, 202619.7519.7519.7519.7519.7536
Aug 7, 202619.9319.9319.9319.9319.9228
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 AGIX 2x Daily ETF Historical Prices

What is OHLC data for XAGI?

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

The adjusted close price for XAGI 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 XAGI price history go?

XAGI 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 XAGI data?

XAGI 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 XAGI?

Trading volume for XAGI 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.