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m Nasdaq-100 Accelerator Autocall ETF

MPIANASDAQm+ FundsAlternative

$25.18Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
$14.67M
Expense ratio
0.70%
Dividend yield
2.48%
Holdings
-
52-week range
$24.13$27.33
Volume (live)
-
Avg. volume (3M)
27.06K

MPIA ETF Historical Prices: m Nasdaq-100 Accelerator 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.

MPIA Historical Price Chart: Trends & Patterns

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

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MPIA 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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MPIA 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, 202624.7125.1824.7125.1825.1812.15K
Oct 14, 202624.9225.5124.9225.2125.2140.61K
Oct 13, 202625.6525.6925.5925.6325.637.75K
Oct 12, 202625.7025.7125.7025.7025.701.36K
Oct 9, 202625.8425.8425.7025.7025.701.16K
Oct 8, 202626.5426.5425.6125.6425.6467.25K
Oct 7, 202625.1725.8325.1725.8325.8317.19K
Oct 6, 202625.8225.9225.7525.9025.9015.05K
Oct 5, 202625.8725.8725.8225.8225.821.33K
Oct 2, 202625.8225.8325.7625.7625.768.77K
Oct 1, 202625.7225.7625.6325.6925.6911.81K
Sep 30, 202625.6825.8625.6325.7125.7114.92K
Sep 29, 202625.7327.3225.7125.7625.7649.57K
Sep 28, 202625.9125.9125.7325.7625.7611.80K
Sep 25, 202625.8625.8725.8025.8125.815.10K
Sep 24, 202625.6925.8125.6825.7525.753.90K
Sep 23, 202625.7525.8425.6725.6825.6830.08K
Sep 22, 202625.7025.7825.7025.7825.789.40K
Sep 21, 202625.7425.7425.3525.5525.5594.14K
Sep 18, 202625.2425.4525.0725.4324.8053.76K
Sep 17, 202624.7225.3224.6125.1824.5680.69K
Sep 16, 202624.7325.6124.4124.5423.94115.42K
Sep 15, 202624.8325.3424.5524.6124.0076.81K
Sep 14, 202624.3225.4424.3224.9524.3411.23K
Sep 11, 202625.2025.3025.2025.2024.586.32K
Sep 10, 202625.4025.4024.6925.0024.3953.68K
Sep 9, 202625.4525.5325.3625.4124.795.81K
Sep 8, 202625.3725.5725.3725.4224.801.78K
Sep 4, 202625.4325.4325.4025.4024.77506
Sep 3, 202624.9125.6424.9125.3124.692.42K
Sep 2, 202624.5124.9524.1324.8624.258.09K
Sep 1, 202624.9625.2024.6524.7924.1815.65K
Aug 31, 202625.2525.2825.1125.2824.668.07K
Aug 28, 202625.3525.4825.1325.1424.5249.41K
Aug 27, 202625.2825.2825.2525.2524.622.81K
Aug 26, 202624.9025.0524.9024.9624.351.84K
Aug 25, 202624.8224.9224.8124.9224.304.05K
Aug 24, 202624.9525.6124.5124.6724.0722.39K
Aug 21, 202624.8225.4224.4524.9224.3135.05K
Aug 20, 202625.3925.3924.7124.7824.173.24K
Aug 19, 202625.0025.0125.0025.0024.38600
Aug 18, 202625.2125.2125.0625.0624.4440.16K
Aug 17, 202625.5525.5525.3725.3724.751.72K
Aug 14, 202625.5425.5425.3925.3924.7631.50K
Aug 13, 202625.5425.5825.4525.4524.824.48K
Aug 12, 202625.3625.3625.2225.2224.603.70K
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 Nasdaq-100 Accelerator Autocall ETF Historical Prices

What is OHLC data for MPIA?

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

The adjusted close price for MPIA 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 MPIA price history go?

MPIA 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 MPIA data?

MPIA 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 MPIA?

Trading volume for MPIA 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.