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Mohr Sector Nav ETF

SNAVBATSMohr FundsEquity

$38.59Today:- (-)1Y +14.12%

As of Oct 16, 2026 close

Assets (AUM)
$33.96M
Expense ratio
1.59%
Dividend yield
-
Holdings
10
52-week range
$33.40$39.54
Volume (live)
-
Avg. volume (3M)
6.82K

SNAV ETF Historical Prices: Mohr Sector Nav ETF

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

SNAV Historical Price Chart: Trends & Patterns

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

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SNAV 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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SNAV 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 16, 202639.0139.0138.5938.5938.5913.80K
Oct 15, 202639.0639.0639.0639.0639.064.39K
Oct 14, 202639.2039.2038.7238.8338.8316.30K
Oct 13, 202639.2439.2939.2239.2639.2621.89K
Oct 12, 202639.3039.3139.3039.3139.31359
Oct 9, 202639.2639.4239.2639.4139.411.90K
Oct 8, 202639.2539.2539.0839.1439.141.11K
Oct 7, 202639.3039.4239.3039.4239.422.17K
Oct 6, 202639.5439.5439.4839.4839.48531
Oct 5, 202639.2639.3739.2639.3139.31968
Oct 2, 202639.1539.1539.0239.0539.043.43K
Oct 1, 202638.7238.8638.7238.8338.839.27K
Sep 30, 202638.7938.7938.7938.7938.7956
Sep 29, 202638.7238.8138.7238.8138.81982
Sep 28, 202638.9538.9538.8538.8538.85299
Sep 25, 202639.1439.1839.1439.1839.18357
Sep 24, 202638.9339.0338.8739.0339.032.42K
Sep 23, 202639.2339.2338.9939.0039.0010.10K
Sep 22, 202639.2839.3539.2839.3039.301.78K
Sep 21, 202639.1639.3139.1439.2739.2713.00K
Sep 18, 202638.5438.6538.5338.6538.6511.84K
Sep 17, 202638.5938.6838.5938.6838.68651
Sep 16, 202638.5738.6138.3038.3038.30886
Sep 15, 202638.6038.6038.4938.4938.491.25K
Sep 14, 202638.5338.6038.5338.6038.60286
Sep 11, 202638.8038.8038.6938.7238.7211.33K
Sep 10, 202638.4438.5338.4138.4138.4116.79K
Sep 9, 202638.7638.7638.6638.6638.663.76K
Sep 8, 202638.8238.8238.8238.8238.8291
Sep 4, 202639.1339.1339.0939.0939.0913.04K
Sep 3, 202639.3239.3239.2739.2739.2753.41K
Sep 2, 202639.0239.0238.9938.9938.99228
Sep 1, 202638.8438.8938.7738.7738.77826
Aug 31, 202639.0039.0338.9339.0339.032.20K
Aug 28, 202638.7639.2838.7639.0839.082.55K
Aug 27, 202639.1439.1639.1239.1639.161.81K
Aug 26, 202639.0839.0839.0239.0239.02783
Aug 25, 202639.0339.0639.0339.0639.07667
Aug 24, 202638.9838.9838.9838.9838.98474
Aug 21, 202639.2339.2339.1239.1739.171.31K
Aug 20, 202639.1739.1738.9238.9238.922.04K
Aug 19, 202639.3039.3039.2539.2539.252.56K
Aug 18, 202639.0339.0338.9238.9238.92706
Aug 17, 202639.2339.2839.1339.1339.131.27K
Aug 14, 202639.4139.4139.3239.3439.341.29K
Aug 13, 202639.4739.4739.3439.4139.411.60K
Aug 12, 202639.1239.2339.1239.1739.17719
Aug 11, 202639.2239.2239.1239.1239.12337
Aug 10, 202639.1239.1639.1039.1539.152.10K
Aug 7, 202638.3539.0838.3539.0839.084.20K
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 16, 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 Mohr Sector Nav ETF Historical Prices

What is OHLC data for SNAV?

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

The adjusted close price for SNAV 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 SNAV price history go?

SNAV historical price data is available from the ETF's inception on Jan 10, 2023. 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 SNAV data?

SNAV 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 SNAV?

Trading volume for SNAV 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.