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Relative Sentiment Tactical Allocation ETF

MOODNASDAQAlpha ArchitectAsset Allocation

$44.53Today:- (-)1Y +20.21%

As of Oct 26, 2026 close

Assets (AUM)
$152.67M
Expense ratio
0.77%
Dividend yield
0.35%
Holdings
12
52-week range
$36.01$45.11
Volume (live)
-
Avg. volume (3M)
24.34K

MOOD ETF Historical Prices: Relative Sentiment Tactical Allocation 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.

MOOD Historical Price Chart: Trends & Patterns

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

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MOOD 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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MOOD 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, 202644.2744.5744.2744.5244.529.85K
Oct 23, 202644.3944.4644.3344.3944.396.45K
Oct 22, 202644.6044.6344.4044.4744.4714.08K
Oct 21, 202644.7844.9144.7744.8844.883.85K
Oct 20, 202644.5244.7744.5244.6744.6713.70K
Oct 19, 202644.4444.6744.4444.6044.609.30K
Oct 16, 202644.6144.7344.4144.4444.446.92K
Oct 15, 202644.5344.7144.5044.7144.7112.26K
Oct 14, 202644.7944.7944.6144.6744.6712.05K
Oct 13, 202644.8844.9344.8644.9144.916.28K
Oct 12, 202645.0245.0344.9744.9844.985.06K
Oct 9, 202644.9745.0344.9544.9944.9944.55K
Oct 8, 202644.9144.9244.7744.8544.8515.00K
Oct 7, 202644.8744.9844.8744.9744.9731.31K
Oct 6, 202644.9345.1144.9345.0145.0114.91K
Oct 5, 202644.8545.0244.8544.9444.9417.04K
Oct 2, 202644.8444.8744.7744.7944.7966.75K
Oct 1, 202644.6044.6844.5144.6544.6588.87K
Sep 30, 202644.6444.6944.5744.5744.5716.69K
Sep 29, 202644.6144.6244.5344.5944.5968.60K
Sep 28, 202644.7744.7744.5444.5644.5696.46K
Sep 25, 202644.6644.7144.6644.6944.6927.71K
Sep 24, 202644.6344.7144.6044.6844.689.77K
Sep 23, 202644.6344.6844.6344.6644.667.51K
Sep 22, 202644.6844.7644.6844.7344.7212.08K
Sep 21, 202644.6044.7044.5444.6844.6812.08K
Sep 18, 202644.4844.4944.4344.4944.4918.09K
Sep 17, 202644.4844.4844.4244.4544.4565.48K
Sep 16, 202644.3944.4144.3044.3344.3310.10K
Sep 15, 202644.4044.4044.2744.3144.317.28K
Sep 14, 202644.3144.4144.3144.3844.385.51K
Sep 11, 202644.4544.4544.3944.4244.42742
Sep 10, 202644.3144.3244.2444.2744.2737.29K
Sep 9, 202644.3744.3844.3544.3544.358.55K
Sep 8, 202644.6044.6044.4444.4444.4437.63K
Sep 4, 202644.5744.5844.5044.5644.5694.64K
Sep 3, 202644.4844.6344.4844.5944.5911.98K
Sep 2, 202644.8444.8444.3944.4744.4721.42K
Sep 1, 202644.4544.4944.3844.4044.4089.72K
Aug 31, 202644.5044.5544.4744.5244.526.99K
Aug 28, 202644.6344.6744.5644.5944.597.58K
Aug 27, 202644.6244.6444.5844.6144.611.93K
Aug 26, 202644.5444.5444.5044.5444.5428.95K
Aug 25, 202644.5444.5444.4644.5344.53128.56K
Aug 24, 202644.3844.4544.3744.4244.426.33K
Aug 21, 202644.3844.4244.3444.3744.3716.55K
Aug 20, 202644.3744.4144.2844.3044.307.72K
Aug 19, 202644.4744.5544.4444.4644.4612.76K
Aug 18, 202644.3444.3744.3444.3544.352.70K
Aug 17, 202644.5944.6344.5144.5144.5110.65K
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 Relative Sentiment Tactical Allocation ETF Historical Prices

What is OHLC data for MOOD?

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

The adjusted close price for MOOD 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 MOOD price history go?

MOOD historical price data is available from the ETF's inception on May 18, 2022. 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 MOOD data?

MOOD 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 MOOD?

Trading volume for MOOD 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.