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Corgi META 2x Daily ETF

FBXBATSCorgiEquity

$41.49Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
$656.65K
Expense ratio
0.20%
Dividend yield
-
Holdings
4
52-week range
$22.55$46.99
Volume (live)
-
Avg. volume (3M)
310

FBX ETF Historical Prices: Corgi META 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.

FBX Historical Price Chart: Trends & Patterns

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

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FBX 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 · Daily78 records
Showing 1-50 of 78
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FBX 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 15, 202641.4941.4941.4941.4941.499
Oct 14, 202641.5841.5841.5841.5841.58311
Oct 13, 202644.9544.9544.4544.5644.56559
Oct 12, 202642.9342.9342.3142.3142.31406
Oct 9, 202640.0040.0039.6039.6139.611.09K
Oct 8, 202639.9139.9139.9039.9039.90122
Oct 7, 202640.5040.5039.9639.9639.96351
Oct 6, 202642.0542.0542.0542.0542.05110
Oct 5, 202642.5042.5042.3142.3142.31304
Oct 2, 202640.8040.8040.8040.8040.8015
Oct 1, 202640.8941.0040.5740.5740.57514
Sep 30, 202640.7340.7340.7340.7340.7347
Sep 29, 202640.3342.1340.0142.1342.13412
Sep 28, 202642.0042.0039.4839.4839.48891
Sep 25, 202643.8543.8543.8543.8543.8553
Sep 24, 202644.6846.9844.6846.9846.98724
Sep 23, 202643.1643.1643.1643.1643.16179
Sep 22, 202642.2242.2242.2242.2242.22155
Sep 21, 202642.9842.9842.9842.9842.98118
Sep 18, 202634.8634.8634.8634.8634.8639
Sep 17, 202636.7336.7336.7336.7336.7357
Sep 16, 202635.7135.7135.7135.7135.7117
Sep 15, 202635.2535.4335.2535.4335.43281
Sep 14, 202635.0135.0135.0135.0135.01133
Sep 11, 202633.2433.3133.1733.1733.17347
Sep 10, 202634.4934.4932.8432.8432.84768
Sep 9, 202632.9733.7832.9733.7533.751.12K
Sep 8, 202629.9529.9529.9529.9529.9535
Sep 4, 202630.2730.2730.2730.2730.2815
Sep 3, 202629.6829.6829.6829.6829.68111
Sep 2, 202628.0028.0028.0028.0028.00101
Sep 1, 202626.6726.6726.6726.6726.6713
Aug 31, 202626.1826.1826.1826.1826.1773
Aug 28, 202626.7226.7226.7226.7226.72171
Aug 27, 202626.1126.1126.1126.1126.1091
Aug 26, 202626.3926.7526.3926.6826.68792
Aug 25, 202626.0226.0226.0226.0226.0226
Aug 24, 202624.8425.0824.8425.0825.081.33K
Aug 21, 202624.2324.2324.2224.2224.22455
Aug 20, 202623.4123.9623.4123.9623.96396
Aug 19, 202623.9623.9623.9623.9623.9648
Aug 18, 202624.1724.1723.7723.7723.77252
Aug 17, 202626.0526.0526.0526.0526.05282
Aug 14, 202628.0328.0328.0328.0328.0322
Aug 13, 202627.7128.5327.7128.5328.53317
Aug 12, 202627.0727.0727.0727.0727.07212
Aug 11, 202629.0129.0129.0129.0129.01124
Aug 10, 202628.6128.6128.6128.6128.61128
Aug 7, 202628.4928.4928.4928.4928.4936
Aug 6, 202628.1628.1628.1628.1628.1686
Show:
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Source: Daily exchange trading data. Data as of Oct 15, 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 META 2x Daily ETF Historical Prices

What is OHLC data for FBX?

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

The adjusted close price for FBX 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 FBX price history go?

FBX historical price data is available from the ETF's inception on Jun 25, 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 FBX data?

FBX 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 FBX?

Trading volume for FBX 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.