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Corgi NYC Based ETF

NYNYBATSCorgiEquity

$26.72Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
$804.35K
Expense ratio
0.20%
Dividend yield
-
Holdings
52
52-week range
$25.11$28.24
Volume (live)
-
Avg. volume (3M)
164

NYNY ETF Historical Prices: Corgi NYC Based ETF

Complete OHLC price data, adjusted close prices, and daily trading volume for this Equity ETF. Analyze trends with customizable time periods and intervals.

NYNY Historical Price Chart: Trends & Patterns

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

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NYNY 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 · Daily113 records
Showing 1-50 of 113
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NYNY 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, 202626.5826.7226.5826.7226.72141
Oct 14, 202626.2126.2126.2126.2126.2130
Oct 13, 202626.4126.4126.4126.4126.41160
Oct 12, 202626.6626.6626.6626.6626.66102
Oct 9, 202626.5926.5926.5926.5926.59110
Oct 8, 202626.4126.4126.4126.4126.41110
Oct 7, 202626.2326.2626.2326.2626.26303
Oct 6, 202626.2926.3926.2926.3926.39222
Oct 5, 202626.2526.2526.2526.2526.25110
Oct 2, 202626.1726.1726.1726.1726.1721
Oct 1, 202626.1926.1926.1926.1926.19344
Sep 30, 202626.2726.2726.2726.2726.27145
Sep 29, 202626.3926.3926.3926.3926.39104
Sep 28, 202626.5026.5026.5026.5026.50183
Sep 25, 202626.8226.8226.8226.8226.82122
Sep 24, 202626.6826.6826.6826.6826.68158
Sep 23, 202626.7226.7226.7226.7226.7213
Sep 22, 202626.8826.8826.8826.8826.8845
Sep 21, 202627.1627.1627.1627.1627.1616
Sep 18, 202626.8326.8826.8326.8826.88154
Sep 17, 202626.8426.8826.8426.8826.88353
Sep 16, 202626.7826.7826.7826.7826.78236
Sep 15, 202627.0727.0727.0727.0727.0713
Sep 14, 202627.3827.3827.3827.3827.3816
Sep 11, 202627.2927.2927.2927.2927.29133
Sep 10, 202627.2327.2327.1527.1527.15200
Sep 9, 202627.4227.4227.3327.3327.33133
Sep 8, 202627.5727.5727.5627.5627.56196
Sep 4, 202627.7527.8227.7527.8227.82137
Sep 3, 202627.7828.0327.7828.0328.03904
Sep 2, 202627.7827.7827.5527.5527.55273
Sep 1, 202627.8027.8027.5627.5627.56315
Aug 31, 202627.9827.9827.9827.9827.97247
Aug 28, 202628.1428.2328.0628.0728.07559
Aug 27, 202628.1828.1828.0928.0928.08954
Aug 26, 202628.1228.1228.0828.0828.08372
Aug 25, 202628.0028.1428.0028.1428.13255
Aug 24, 202628.0728.0728.0328.0328.03853
Aug 21, 202627.9327.9327.8327.9127.911.32K
Aug 20, 202627.7127.7627.6027.6027.601.52K
Aug 19, 202627.9627.9627.8527.8527.851.39K
Aug 18, 202627.7927.7927.7527.7527.76174
Aug 17, 202627.7427.7427.7427.7427.741.92K
Aug 14, 202628.0028.0028.0028.0028.00167
Aug 13, 202627.9928.0927.9128.0928.091.67K
Aug 12, 202627.7927.7927.7927.7927.79387
Aug 11, 202627.7127.7327.7127.7327.73142
Aug 10, 202627.6627.6727.6627.6627.661.22K
Aug 7, 202627.5627.5627.5627.5627.56125
Aug 6, 202627.4927.4927.4227.4227.42651
Show:
of 113

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 NYC Based ETF Historical Prices

What is OHLC data for NYNY?

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

The adjusted close price for NYNY 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 NYNY price history go?

NYNY historical price data is available from the ETF's inception on May 5, 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 NYNY data?

NYNY 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 NYNY?

Trading volume for NYNY 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.