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Corgi AMZN 2x Daily ETF

AMAABATSCorgiEquity

$29.34Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
$567.58K
Expense ratio
0.45%
Dividend yield
-
Holdings
4
52-week range
$23.51$38.54
Volume (live)
-
Avg. volume (3M)
713

AMAA ETF Historical Prices: Corgi AMZN 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.

AMAA Historical Price Chart: Trends & Patterns

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

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AMAA 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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AMAA 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, 202629.3429.3429.3429.3429.3476
Oct 14, 202629.1029.1029.1029.1029.1017
Oct 13, 202630.2130.2130.2130.2130.21117
Oct 12, 202630.6530.8130.4030.4030.40789
Oct 9, 202630.7631.1230.7631.1231.12330
Oct 8, 202629.3129.3129.3129.3129.312.31K
Oct 7, 202629.3830.6129.3830.6130.61187
Oct 6, 202629.6629.7729.6329.7729.771.02K
Oct 5, 202629.1429.1828.6828.6828.67516
Oct 2, 202628.8928.8928.6728.6728.67269
Oct 1, 202627.7427.9627.7427.9627.961.46K
Sep 30, 202628.3028.3028.3028.3028.29114
Sep 29, 202627.6627.6627.6627.6627.6641
Sep 28, 202627.5827.5827.5727.5727.57377
Sep 25, 202628.2428.3828.1328.3828.381.67K
Sep 24, 202628.3828.3828.3828.3828.38141
Sep 23, 202628.3428.3428.3428.3428.3449
Sep 22, 202629.8330.0429.7129.7129.712.78K
Sep 21, 202629.8430.4929.8430.4930.49458
Sep 18, 202629.0629.5829.0629.4429.44384
Sep 17, 202628.2329.2128.2328.8828.882.24K
Sep 16, 202627.9127.9127.6627.6627.66431
Sep 15, 202628.4528.4528.2128.2128.21829
Sep 14, 202628.7729.5328.7729.4729.471.09K
Sep 11, 202630.0230.2530.0030.2530.25670
Sep 10, 202629.1129.1129.0329.0329.03401
Sep 9, 202629.2129.2129.1829.1829.18271
Sep 8, 202630.0030.2429.8730.2430.24657
Sep 4, 202630.3230.7030.3030.7030.71990
Sep 3, 202630.3630.8230.2330.8230.82688
Sep 2, 202630.0330.0329.8629.8629.86134
Sep 1, 202630.1130.1129.7129.8529.852.70K
Aug 31, 202632.7432.7431.0931.2131.212.71K
Aug 28, 202631.2832.7031.2832.7032.701.97K
Aug 27, 202630.5030.5030.3630.3630.36137
Aug 26, 202630.9531.3330.9031.3331.33514
Aug 25, 202631.2631.4731.2631.4731.471.03K
Aug 24, 202631.7631.9331.5131.8031.80729
Aug 21, 202631.1031.1030.9430.9430.94250
Aug 20, 202631.4931.4931.3131.3131.31390
Aug 19, 202631.5232.8031.5232.7332.731.60K
Aug 18, 202631.1931.3431.1931.3431.34732
Aug 17, 202631.7031.7031.5831.5831.58327
Aug 14, 202632.6532.6532.0032.0032.00384
Aug 13, 202633.2733.2732.5932.5932.59383
Aug 12, 202633.8833.8833.1933.1933.19943
Aug 11, 202634.4134.4334.2634.4334.43240
Aug 10, 202635.6335.9335.6335.9335.93213
Aug 7, 202635.6435.6435.0935.1735.17638
Aug 6, 202634.6334.6334.5034.5034.50168
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 AMZN 2x Daily ETF Historical Prices

What is OHLC data for AMAA?

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

The adjusted close price for AMAA 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 AMAA price history go?

AMAA 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 AMAA data?

AMAA 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 AMAA?

Trading volume for AMAA 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.