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TrueShares Structured Outcome (June) ETF

JUNZBATSTruemark GroupAlternative

$35.59Today:- (-)1Y +8.03%

As of Oct 23, 2026 close

Assets (AUM)
$31.12M
Expense ratio
0.79%
Dividend yield
2.10%
Holdings
7
52-week range
$30.54$36.28
Volume (live)
-
Avg. volume (3M)
1.82K

JUNZ ETF Historical Prices: TrueShares Structured Outcome (June) ETF

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

JUNZ Historical Price Chart: Trends & Patterns

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

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JUNZ 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 · Daily126 records
Showing 1-50 of 126
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JUNZ 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 23, 202635.5935.5935.5935.5935.599
Oct 22, 202635.7235.7235.7235.7235.72461
Oct 21, 202636.0136.0635.9536.0636.071.51K
Oct 20, 202635.9435.9435.8835.8935.89532
Oct 19, 202635.9135.9135.8335.8335.83495
Oct 16, 202635.7235.7235.7235.7235.7170
Oct 15, 202635.9836.0135.9836.0136.01359
Oct 14, 202636.0536.0535.9035.9135.91889
Oct 13, 202636.2436.2436.2436.2436.24876
Oct 12, 202636.2536.2536.1836.2436.242.94K
Oct 9, 202636.1736.2636.1736.2636.26906
Oct 8, 202636.1336.1536.0436.0836.082.94K
Oct 7, 202636.2236.2236.2236.2236.221.26K
Oct 6, 202636.2836.2836.2836.2836.2814
Oct 5, 202636.0436.1636.0436.1136.11935
Oct 2, 202636.0136.0135.8935.9435.94990
Oct 1, 202634.1135.7834.1135.7635.7635.23K
Sep 30, 202635.7435.7435.7435.7435.7417
Sep 29, 202635.7635.7635.7635.7635.76418
Sep 28, 202635.8035.8035.8035.8035.8013
Sep 25, 202636.0336.0335.9736.0236.02870
Sep 24, 202635.8735.9235.8735.8935.89756
Sep 23, 202635.9435.9435.9435.9435.9414
Sep 22, 202636.1336.1336.1336.1336.1314
Sep 21, 202636.1336.1336.1336.1336.1214
Sep 18, 202635.6835.6835.6835.6835.6814
Sep 17, 202635.6635.6835.6635.6835.68282
Sep 16, 202635.5835.5835.3535.3535.351.16K
Sep 15, 202635.5235.5235.4835.4835.48194
Sep 14, 202635.6335.6835.5535.6135.61472
Sep 11, 202635.8135.8135.7535.7535.75117
Sep 10, 202635.5635.5835.5035.5235.522.88K
Sep 9, 202635.7635.7635.6935.6935.69522
Sep 8, 202635.9035.9135.7935.7935.79851
Sep 4, 202635.9635.9635.9535.9535.95195
Sep 3, 202636.0936.1136.0636.0636.061.16K
Sep 2, 202635.7735.7735.7735.7735.7714
Sep 1, 202635.7635.7635.6335.6335.6222.17K
Aug 31, 202635.8535.8535.8535.8535.8515
Aug 28, 202635.9435.9435.9435.9435.9480
Aug 27, 202636.0136.0136.0136.0136.01563
Aug 26, 202635.8335.8335.8335.8335.8315
Aug 25, 202635.7535.8535.7535.8135.811.77K
Aug 24, 202635.7435.7435.7335.7335.73287
Aug 21, 202635.8635.8835.8035.8235.825.22K
Aug 20, 202635.8435.8435.6935.6935.69367
Aug 19, 202635.9735.9735.9135.9135.911.08K
Aug 18, 202635.9235.9235.8635.8735.871.72K
Aug 17, 202636.0736.0736.0736.0736.071.05K
Aug 14, 202636.1836.1936.1636.1936.19939
Show:
of 126

Source: Daily exchange trading data. Data as of Oct 23, 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 TrueShares Structured Outcome (June) ETF Historical Prices

What is OHLC data for JUNZ?

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

The adjusted close price for JUNZ 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 JUNZ price history go?

JUNZ historical price data is available from the ETF's inception on May 27, 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 JUNZ data?

JUNZ 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 JUNZ?

Trading volume for JUNZ 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.