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Corgi AAPL 2x Daily ETF

IOSXBATSCorgiEquity

$35.30Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$526.54K
Expense ratio
0.45%
Dividend yield
-
Holdings
4
52-week range
$26.18$36.08
Volume (live)
-
Avg. volume (3M)
71

IOSX ETF Historical Prices: Corgi AAPL 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.

IOSX Historical Price Chart: Trends & Patterns

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

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IOSX 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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IOSX 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, 202635.3035.3035.3035.3035.3016
Oct 15, 202635.1435.1435.1435.1435.1417
Oct 14, 202635.7535.7535.1835.1835.18323
Oct 13, 202635.8435.8434.9034.9034.90381
Oct 12, 202634.6234.8334.6234.8334.83212
Oct 9, 202634.0034.0034.0034.0034.0026
Oct 8, 202634.8134.8134.8134.8134.8120
Oct 7, 202634.0534.0534.0534.0534.0512
Oct 6, 202633.4533.4533.4533.4533.4516
Oct 5, 202633.3033.3033.3033.3033.3014
Oct 2, 202633.4133.4133.4133.4133.4113
Oct 1, 202632.8732.8732.8732.8732.8615
Sep 30, 202633.4933.4933.4933.4933.4937
Sep 29, 202632.6832.6832.6832.6832.6838
Sep 28, 202634.5634.5634.5634.5634.5612
Sep 25, 202635.0735.0735.0735.0735.07121
Sep 24, 202634.5034.5034.1234.1234.12118
Sep 23, 202634.2834.2834.2834.2834.2818
Sep 22, 202634.8534.8534.8534.8534.8533
Sep 21, 202634.7734.7734.7734.7734.7611
Sep 18, 202634.1634.1634.1634.1634.1631
Sep 17, 202634.4234.4234.4234.4234.4215
Sep 16, 202633.4533.4533.4533.4533.4541
Sep 15, 202633.2733.2733.2733.2733.2762
Sep 14, 202633.3333.6733.3333.6733.67278
Sep 11, 202633.5333.5333.5333.5333.5375
Sep 10, 202632.3132.3132.3132.3132.3123
Sep 9, 202630.2430.2430.2430.2430.2422
Sep 8, 202630.3830.3830.3830.3830.3817
Sep 4, 202631.2031.2031.2031.2031.2084
Sep 3, 202632.8232.8232.8232.8232.8236
Sep 2, 202632.1832.1832.1832.1832.1851
Sep 1, 202632.1432.1432.1432.1432.1417
Aug 31, 202630.6430.6430.6430.6430.6417
Aug 28, 202631.2231.2231.2231.2231.22196
Aug 27, 202630.2730.2730.2730.2730.2718
Aug 26, 202630.0730.0730.0730.0730.0717
Aug 25, 202629.4229.4229.4229.4229.4212
Aug 24, 202629.5129.5129.5129.5129.5163
Aug 21, 202629.3629.3629.3629.3629.36254
Aug 20, 202630.7130.7129.6629.6629.66165
Aug 19, 202630.7130.7130.7130.7130.7127
Aug 18, 202629.5029.5029.5029.5029.5062
Aug 17, 202628.2628.6328.2628.6328.632.00K
Aug 14, 202628.7128.7128.7128.7128.711.84K
Aug 13, 202628.6128.6128.6128.6128.6120
Aug 12, 202627.9827.9827.9827.9827.98141
Aug 11, 202628.2128.5828.2128.5828.58169
Aug 10, 202629.1529.1529.1529.1529.1540
Aug 7, 202630.2530.2530.2530.2530.2545
Show:
of 77

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 AAPL 2x Daily ETF Historical Prices

What is OHLC data for IOSX?

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

The adjusted close price for IOSX 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 IOSX price history go?

IOSX 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 IOSX data?

IOSX 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 IOSX?

Trading volume for IOSX 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.