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m+ DualYield Autocall ETF

MPDYNYSEARCAm+ FundsAlternative

$24.02Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
-
Expense ratio
0.70%
Dividend yield
1.40%
Holdings
-
52-week range
$23.26$25.62
Volume (live)
-
Avg. volume (3M)
17.17K

MPDY ETF Historical Prices: m+ DualYield Autocall ETF

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

MPDY Historical Price Chart: Trends & Patterns

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

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MPDY 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 · Daily46 records
Showing 1-46 of 46
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MPDY 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, 202623.5224.1323.5224.0224.0230.05K
Oct 14, 202624.4724.4923.7724.0624.0610.92K
Oct 13, 202624.5224.6924.4624.6924.6919.44K
Oct 12, 202624.5724.7424.5524.5924.5925.74K
Oct 9, 202624.5025.3524.5024.7524.7539.96K
Oct 8, 202624.4224.5124.2424.3424.346.64K
Oct 7, 202624.8024.8024.3224.5624.5616.85K
Oct 6, 202624.7724.9824.7724.8124.817.62K
Oct 5, 202624.2124.6024.2124.4724.473.87K
Oct 2, 202624.1924.3224.0224.1224.124.54K
Oct 1, 202623.3523.7023.2923.7023.705.13K
Sep 30, 202623.8524.0323.6423.6423.646.98K
Sep 29, 202623.7223.8723.5823.7523.757.64K
Sep 28, 202623.9623.9623.7023.9223.928.45K
Sep 25, 202624.1824.3523.9224.3024.3019.00K
Sep 24, 202623.8724.0723.7724.0524.052.49K
Sep 23, 202624.2524.2524.0224.0224.0213.17K
Sep 22, 202624.4824.6424.4324.5524.554.35K
Sep 21, 202624.0424.7224.0024.6324.633.52K
Sep 18, 202623.6524.0223.6523.9623.6344.74K
Sep 17, 202623.9124.0823.8024.0523.7163.97K
Sep 16, 202623.4623.8123.2623.2622.9310.36K
Sep 15, 202623.4724.0223.4023.4823.1534.48K
Sep 14, 202623.6623.8923.4523.8423.504.29K
Sep 11, 202624.0124.1724.0124.0923.7512.64K
Sep 10, 202623.5723.6623.3823.5423.219.13K
Sep 9, 202624.0524.0923.9023.9023.56535
Sep 8, 202624.3824.4124.1824.2223.884.05K
Sep 4, 202624.7024.7024.5724.6324.2810.85K
Sep 3, 202624.3024.7824.3024.7024.3583.66K
Sep 2, 202624.1724.2024.0624.1223.783.74K
Sep 1, 202624.0624.1023.8723.8723.532.89K
Aug 31, 202624.3424.4624.3124.4424.0914.41K
Aug 28, 202624.7125.0524.5624.6124.2724.22K
Aug 27, 202624.5524.8324.5324.7724.42196.50K
Aug 26, 202624.3924.4424.3324.3924.04685
Aug 25, 202624.2424.4224.2424.3423.9929.04K
Aug 24, 202624.4024.4324.1824.3023.9636.11K
Aug 21, 202624.6724.6724.2724.3323.9912.21K
Aug 20, 202624.8424.8424.3724.3724.037.55K
Aug 19, 202624.7524.7524.7024.7024.361.90K
Aug 18, 202624.8324.8824.7524.7524.4045.70K
Aug 17, 202625.3925.4325.2025.2024.849.18K
Aug 14, 202625.5525.5525.4325.5025.14127.18K
Aug 13, 202625.4325.6225.4325.5625.208.30K
Aug 12, 202625.2625.2625.1725.2024.85199.80K
Show:
of 46

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 m+ DualYield Autocall ETF Historical Prices

What is OHLC data for MPDY?

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

The adjusted close price for MPDY 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 MPDY price history go?

MPDY historical price data is available from the ETF's inception on Aug 11, 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 MPDY data?

MPDY 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 MPDY?

Trading volume for MPDY 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.