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Collaborative Investment - Mindful Conservative ETF

MFULBATSMohr FundsAsset Allocation

$22.10Today:- (-)1Y −0.31%

As of Oct 15, 2026 close

Assets (AUM)
$7.18M
Expense ratio
1.48%
Dividend yield
1.86%
Holdings
17
52-week range
$20.89$22.65
Volume (live)
-
Avg. volume (3M)
1.15K

MFUL ETF Historical Prices: Collaborative Investment - Mindful Conservative 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.

MFUL Historical Price Chart: Trends & Patterns

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

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MFUL 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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MFUL 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, 202622.1022.1022.1022.1022.10537
Oct 14, 202622.0422.0421.9822.0222.021.21K
Oct 13, 202622.1322.1422.0922.1422.141.43K
Oct 12, 202622.1522.1522.1522.1522.1557
Oct 9, 202622.1722.1722.1722.1722.178
Oct 8, 202622.1022.1322.0822.1322.133.27K
Oct 7, 202622.1522.1622.1522.1522.15225
Oct 6, 202622.2022.2022.1922.1922.19476
Oct 5, 202622.1422.1422.1422.1422.1499
Oct 2, 202622.1422.1422.0822.1022.101.90K
Oct 1, 202622.0222.0622.0222.0522.0514.22K
Sep 30, 202622.0522.0522.0522.0522.0519
Sep 29, 202622.0322.0722.0322.0622.061.42K
Sep 28, 202622.1222.1222.1022.1022.10131
Sep 25, 202622.2022.2022.2022.2022.2014
Sep 24, 202622.1622.1622.1622.1622.1615
Sep 23, 202622.2022.2022.2022.2022.2056
Sep 22, 202622.3022.3022.3022.3022.3120
Sep 21, 202622.3022.3022.3022.3022.30356
Sep 18, 202622.2522.2522.2522.2522.25121
Sep 17, 202622.3222.3222.3222.3222.3215
Sep 16, 202622.1822.2522.1822.2522.257.04K
Sep 15, 202622.3222.3222.3222.3222.3215
Sep 14, 202622.3522.3522.3522.3522.3516
Sep 11, 202622.4122.4122.3722.3822.38791
Sep 10, 202622.3422.3422.3422.3422.3415
Sep 9, 202622.4422.4422.4322.4322.43729
Sep 8, 202622.5022.5022.5022.5022.5015
Sep 4, 202622.5622.5622.5622.5622.5656
Sep 3, 202622.5922.5922.5922.5922.59104
Sep 2, 202622.5122.5222.5122.5222.52398
Sep 1, 202622.4622.4622.4622.4622.4618
Aug 31, 202622.5322.5322.5322.5322.5349
Aug 28, 202622.3622.5722.3622.5722.57121
Aug 27, 202622.6222.6222.6222.6222.6214
Aug 26, 202622.6122.6422.6122.6422.642.73K
Aug 25, 202622.6522.6522.6522.6522.6514
Aug 24, 202622.5822.6222.5822.6222.62802
Aug 21, 202622.6122.6122.6122.6122.6118
Aug 20, 202622.5822.5822.5822.5822.5859
Aug 19, 202622.6422.6422.6422.6422.6496
Aug 18, 202622.5722.5722.5722.5722.5614
Aug 17, 202622.6022.6022.6022.6022.60565
Aug 14, 202622.6522.6522.6522.6522.6573
Aug 13, 202622.6522.6522.6522.6522.6546
Aug 12, 202622.5922.5922.5922.5922.5914
Aug 11, 202622.5322.5322.5322.5322.53214
Aug 10, 202622.5222.5222.5222.5222.5218
Aug 7, 202622.5422.5422.5422.5422.5467
Aug 6, 202622.4622.4622.4622.4622.46172
Show:
of 127

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 Collaborative Investment - Mindful Conservative ETF Historical Prices

What is OHLC data for MFUL?

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

The adjusted close price for MFUL 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 MFUL price history go?

MFUL historical price data is available from the ETF's inception on Nov 2, 2021. 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 MFUL data?

MFUL 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 MFUL?

Trading volume for MFUL 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.