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Corgi NVO 2x Daily ETF

NVOCBATSCorgiEquity

$14.68Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$223.49K
Expense ratio
0.45%
Dividend yield
-
Holdings
4
52-week range
$13.75$27.19
Volume (live)
-
Avg. volume (3M)
271

NVOC ETF Historical Prices: Corgi NVO 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.

NVOC Historical Price Chart: Trends & Patterns

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

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NVOC 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 · Daily68 records
Showing 1-50 of 68
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NVOC 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, 202615.0715.0714.6814.6814.68588
Oct 15, 202615.2415.3515.1015.1015.10375
Oct 14, 202614.3214.3214.2514.2914.29318
Oct 13, 202614.4814.4814.2114.2114.21909
Oct 12, 202614.5514.6614.5514.6614.66120
Oct 9, 202614.4814.6714.4814.6714.672.02K
Oct 8, 202613.9614.3713.9614.3714.371.35K
Oct 7, 202614.4914.4914.3914.3914.39304
Oct 6, 202613.8613.8613.8613.8613.8626
Oct 5, 202613.9213.9213.9213.9213.9254
Oct 2, 202613.7513.7513.7513.7513.7516
Oct 1, 202613.8213.8213.8213.8213.8216
Sep 30, 202614.2514.2514.2514.2514.2570
Sep 29, 202614.5114.5114.5114.5114.5113
Sep 28, 202614.6914.8014.6914.8014.80130
Sep 25, 202614.8914.9114.8914.9114.91223
Sep 24, 202614.4814.7614.4814.7614.76235
Sep 23, 202614.5414.5414.5114.5114.51338
Sep 22, 202615.4215.4515.4215.4515.45283
Sep 21, 202616.1716.1715.7215.7215.72756
Sep 18, 202618.7318.7318.7318.7318.73118
Sep 17, 202618.7418.7418.7418.7418.74120
Sep 16, 202617.3717.4717.3717.4717.47132
Sep 15, 202618.1118.1118.1118.1118.1120
Sep 14, 202619.0119.0119.0119.0119.0115
Sep 11, 202618.6218.6218.6218.6218.6211
Sep 10, 202619.5619.5619.5619.5619.5611
Sep 9, 202620.0220.0220.0220.0220.0117
Sep 8, 202620.5820.5820.5820.5820.5825
Sep 4, 202621.8921.8921.8921.8921.8992
Sep 3, 202622.7622.7622.7622.7622.7615
Sep 2, 202622.1522.1522.1522.1522.1520
Sep 1, 202620.6020.6020.6020.6020.6012
Aug 31, 202620.8420.8420.8420.8420.8567
Aug 28, 202621.0621.0621.0621.0621.0612
Aug 27, 202621.3421.7021.3421.7021.70243
Aug 26, 202622.6122.6122.6122.6122.6111
Aug 25, 202624.0024.0024.0024.0024.009
Aug 24, 202622.4422.4422.4422.4422.4414
Aug 21, 202622.4522.4522.2922.2922.29297
Aug 20, 202621.8221.8221.8221.8221.827
Aug 19, 202622.2522.2521.9921.9921.99263
Aug 18, 202621.3621.3721.3621.3721.37182
Aug 17, 202620.8620.9220.3520.4620.4620.18K
Aug 14, 202621.1121.1121.1121.1121.109
Aug 13, 202621.0021.9121.0021.9121.913.27K
Aug 12, 202621.3621.7021.3621.7021.70166
Aug 11, 202622.4422.4422.4422.4422.4463
Aug 10, 202622.0222.7222.0222.7222.72111
Aug 7, 202622.0422.4022.0422.4022.40333
Show:
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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 NVO 2x Daily ETF Historical Prices

What is OHLC data for NVOC?

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

The adjusted close price for NVOC 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 NVOC price history go?

NVOC historical price data is available from the ETF's inception on Jul 13, 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 NVOC data?

NVOC 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 NVOC?

Trading volume for NVOC 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.