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Adaptive Hedged Multi-Asset Income ETF

AMAXNYSEARCAAdaptive InvestmentsAsset Allocation

$7.33Today:- (-)1Y −11.51%

As of Oct 26, 2026 close

Assets (AUM)
$74.28M
Expense ratio
1.36%
Dividend yield
12.28%
Holdings
18
52-week range
$7.33$8.50
Volume (live)
-
Avg. volume (3M)
64.47K

AMAX ETF Historical Prices: Adaptive Hedged Multi-Asset Income ETF

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

AMAX Historical Price Chart: Trends & Patterns

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

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AMAX 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 · Daily127 records
Showing 1-50 of 127
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AMAX 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 26, 20267.377.397.307.337.33694.49K
Oct 23, 20267.347.397.347.387.389.21K
Oct 22, 20267.417.637.327.337.3324.26K
Oct 21, 20267.397.457.397.437.437.45K
Oct 20, 20267.367.457.367.437.4323.10K
Oct 19, 20267.397.627.337.387.3838.20K
Oct 16, 20267.447.457.367.397.3924.69K
Oct 15, 20267.397.477.377.467.46455.30K
Oct 14, 20267.447.447.397.407.409.46K
Oct 13, 20267.537.537.477.507.5047.82K
Oct 12, 20267.457.517.457.507.5022.55K
Oct 9, 20267.417.517.417.467.4622.39K
Oct 8, 20267.437.457.417.437.4324.13K
Oct 7, 20267.437.467.397.427.4230.81K
Oct 6, 20267.507.547.477.507.5019.20K
Oct 5, 20267.437.517.437.517.5154.37K
Oct 2, 20267.477.507.417.427.4235.53K
Oct 1, 20267.397.477.397.477.4720.82K
Sep 30, 20267.437.467.387.387.3841.46K
Sep 29, 20267.397.467.387.387.3834.84K
Sep 28, 20267.537.537.467.517.4315.36K
Sep 25, 20267.627.627.557.587.515.25K
Sep 24, 20267.597.617.547.617.5315.88K
Sep 23, 20267.667.667.597.617.5310.23K
Sep 22, 20267.667.707.637.687.6130.78K
Sep 21, 20267.647.687.627.677.5911.35K
Sep 18, 20267.587.637.587.627.558.51K
Sep 17, 20267.527.587.527.567.495.03K
Sep 16, 20267.537.557.437.477.39143.05K
Sep 15, 20267.547.547.497.497.4148.72K
Sep 14, 20267.567.577.507.537.4523.35K
Sep 11, 20267.547.617.547.577.4947.99K
Sep 10, 20267.507.597.507.507.42310.50K
Sep 9, 20267.587.627.567.567.4824.84K
Sep 8, 20267.617.617.587.587.508.63K
Sep 4, 20267.607.647.577.617.53287.99K
Sep 3, 20267.577.657.577.637.55146.73K
Sep 2, 20267.577.597.547.547.46227.56K
Sep 1, 20267.757.757.537.567.48386.25K
Aug 31, 20267.577.627.577.597.51168.81K
Aug 28, 20267.637.647.537.617.5334.81K
Aug 27, 20267.637.757.637.747.5936.76K
Aug 26, 20267.687.707.607.627.47131.21K
Aug 25, 20267.707.727.607.727.5792.29K
Aug 24, 20267.707.707.607.607.4521.79K
Aug 21, 20267.687.717.627.707.558.33K
Aug 20, 20267.607.687.607.627.4714.79K
Aug 19, 20267.597.687.577.617.46106.21K
Aug 18, 20267.587.597.527.577.4212.32K
Aug 17, 20267.587.597.557.597.4417.09K
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 26, 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 Adaptive Hedged Multi-Asset Income ETF Historical Prices

What is OHLC data for AMAX?

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

The adjusted close price for AMAX 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 AMAX price history go?

AMAX historical price data is available from the ETF's inception on Oct 1, 2009. 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 AMAX data?

AMAX 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 AMAX?

Trading volume for AMAX 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.