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Corgi Bay Area Based ETF

BAYBATSCorgiEquity

$29.13Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$1.69M
Expense ratio
0.20%
Dividend yield
-
Holdings
61
52-week range
$26.33$31.19
Volume (live)
-
Avg. volume (3M)
164

BAY ETF Historical Prices: Corgi Bay Area 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.

BAY Historical Price Chart: Trends & Patterns

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

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BAY 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 · Daily114 records
Showing 1-50 of 114
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BAY 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, 202629.1329.1329.1329.1329.13183
Oct 15, 202629.9029.9029.9029.9029.909
Oct 14, 202629.7329.7329.7329.7329.73362
Oct 13, 202630.6130.6130.6130.6130.617
Oct 12, 202630.6130.6130.6130.6130.6123
Oct 9, 202630.9430.9430.9430.9430.9415
Oct 8, 202630.6130.6130.6130.6130.6122
Oct 7, 202630.9030.9330.9030.9330.93118
Oct 6, 202631.1931.1931.0831.0831.08313
Oct 5, 202630.9730.9730.9730.9730.9712
Oct 2, 202630.8230.8230.6930.6930.69445
Oct 1, 202630.4330.5730.4230.5730.57214
Sep 30, 202630.4930.5830.4430.4430.44372
Sep 29, 202630.2830.2830.2830.2830.28193
Sep 28, 202630.1930.3230.1830.1830.18749
Sep 25, 202630.4930.5630.4930.5530.55219
Sep 24, 202630.4130.6430.4130.6430.641.39K
Sep 23, 202630.5630.5630.5630.5630.5670
Sep 22, 202630.6430.7130.6430.7130.71146
Sep 21, 202630.6630.6630.6630.6630.6614
Sep 18, 202629.7329.7329.7329.7329.7210
Sep 17, 202629.7029.7029.7029.7029.7010
Sep 16, 202629.2029.2029.2029.2029.2011
Sep 15, 202629.2329.2329.2329.2329.2310
Sep 14, 202629.4629.4629.4629.4629.4611
Sep 11, 202629.3429.3429.3429.3429.3416
Sep 10, 202629.0929.0929.0929.0929.0915
Sep 9, 202629.3629.3629.3629.3629.369
Sep 8, 202629.3829.3829.3829.3829.3816
Sep 4, 202629.4429.4429.4429.4429.4413
Sep 3, 202629.2529.4229.2529.4229.42111
Sep 2, 202628.9528.9528.9528.9528.9510
Sep 1, 202628.9628.9628.9628.9628.96158
Aug 31, 202629.3929.3929.3929.3929.39112
Aug 28, 202629.4529.4529.4529.4529.4514
Aug 27, 202629.7929.7929.7929.7929.7915
Aug 26, 202628.9728.9728.9728.9728.9715
Aug 25, 202628.9528.9528.9528.9528.9511
Aug 24, 202628.7028.7028.7028.7028.7012
Aug 21, 202629.0129.0129.0129.0129.0112
Aug 20, 202628.7928.7928.7928.7928.7910
Aug 19, 202629.1529.1528.9328.9328.93111
Aug 18, 202629.0329.0329.0329.0329.039
Aug 17, 202629.6629.6629.4629.4629.46182
Aug 14, 202629.6429.6429.6429.6429.6413
Aug 13, 202629.8929.8929.8929.8929.899
Aug 12, 202629.3829.3829.3829.3829.3811
Aug 11, 202629.2129.2129.2129.2129.2183
Aug 10, 202629.4029.4029.3029.3029.30212
Aug 7, 202629.3729.3729.3729.3729.379
Show:
of 114

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 Bay Area Based ETF Historical Prices

What is OHLC data for BAY?

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

The adjusted close price for BAY 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 BAY price history go?

BAY 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 BAY data?

BAY 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 BAY?

Trading volume for BAY 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.