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Corgi NFLX 2x Daily ETF

NFXBATSCorgiEquity

$21.41Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
$367.92K
Expense ratio
0.45%
Dividend yield
-
Holdings
-
52-week range
$18.28$28.57
Volume (live)
-
Avg. volume (3M)
630

NFX ETF Historical Prices: Corgi NFLX 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.

NFX Historical Price Chart: Trends & Patterns

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

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NFX 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 · Daily72 records
Showing 1-50 of 72
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NFX 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, 202621.4121.4121.4121.4121.417
Oct 14, 202620.2320.2320.2320.2320.2370
Oct 13, 202620.2220.2220.2220.2220.2218
Oct 12, 202620.3020.3020.3020.3020.3070
Oct 9, 202620.6220.6620.1120.1120.11321
Oct 8, 202620.8920.8920.8920.8920.8924
Oct 7, 202619.8419.8419.8419.8419.8426
Oct 6, 202619.0019.2919.0019.2919.29366
Oct 5, 202618.5918.5918.5918.5918.59105
Oct 2, 202618.2818.3818.2818.3818.38129
Oct 1, 202619.1819.1818.8418.8418.84361
Sep 30, 202620.1620.1619.8719.8719.87243
Sep 29, 202620.6420.6420.2520.2720.27436
Sep 28, 202619.5119.6419.5119.6419.64143
Sep 25, 202620.8020.8820.7720.7720.77345
Sep 24, 202621.0721.1421.0321.1421.14672
Sep 23, 202621.3721.3720.9120.9120.91680
Sep 22, 202621.3321.4121.1721.4121.41722
Sep 21, 202621.8022.1521.8022.1522.15260
Sep 18, 202620.5921.4020.5921.2221.22780
Sep 17, 202623.4423.4423.4423.4423.44153
Sep 16, 202624.6024.6024.1624.1624.16320
Sep 15, 202625.0325.0725.0325.0725.07154
Sep 14, 202626.9226.9726.7026.7026.705.49K
Sep 11, 202624.8624.8624.8624.8624.8513
Sep 10, 202623.9923.9923.8823.8823.88690
Sep 9, 202624.0324.0324.0324.0324.03163
Sep 8, 202624.2724.4324.2724.4324.436.04K
Sep 4, 202625.4825.4825.4825.4825.48101
Sep 3, 202628.5028.5028.5028.5028.5012
Sep 2, 202628.5728.5728.5728.5728.5754
Sep 1, 202627.2527.2527.2527.2527.2512
Aug 31, 202627.4627.4627.4627.4627.46171
Aug 28, 202627.0927.9027.0927.9027.90254
Aug 27, 202626.6626.7626.6626.7626.76270
Aug 26, 202628.0328.0327.7827.7827.78176
Aug 25, 202628.3528.3528.3528.3528.3559
Aug 24, 202626.9226.9226.9226.9226.9248
Aug 21, 202626.5826.5826.5826.5826.5812
Aug 20, 202626.9726.9726.9726.9726.9723
Aug 19, 202627.1627.1626.9226.9226.92421
Aug 18, 202625.8326.1825.4525.4525.45788
Aug 17, 202624.8624.8624.3224.3224.32337
Aug 14, 202625.6325.7325.6325.7325.732.04K
Aug 13, 202625.0025.8225.0025.8225.821.98K
Aug 12, 202623.3523.3623.2923.2923.292.25K
Aug 11, 202623.6723.6723.6723.6723.67215
Aug 10, 202624.5524.5524.5524.5524.5515
Aug 7, 202623.3223.3223.3223.3223.3227
Aug 6, 202622.9822.9822.9822.9822.98153
Show:
of 72

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 NFLX 2x Daily ETF Historical Prices

What is OHLC data for NFX?

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

The adjusted close price for NFX 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 NFX price history go?

NFX historical price data is available from the ETF's inception on Jul 6, 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 NFX data?

NFX 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 NFX?

Trading volume for NFX 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.