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Coastal Compass 100 ETF

ROPENYSEARCACoastalEquity

$30.27Today:- (-)1Y +16.59%

As of Oct 23, 2026 close

Assets (AUM)
$22.92M
Expense ratio
0.81%
Dividend yield
1.73%
Holdings
53
52-week range
$25.79$31.01
Volume (live)
-
Avg. volume (3M)
2.92K

ROPE ETF Historical Prices: Coastal Compass 100 ETF

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

ROPE Historical Price Chart: Trends & Patterns

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

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ROPE 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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ROPE 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, 202630.3230.3230.3030.2730.275.53K
Oct 22, 202630.1730.6130.1730.6030.606.33K
Oct 21, 202630.1530.2130.1330.2130.214.21K
Oct 20, 202630.2430.2430.2030.2430.241.75K
Oct 19, 202630.0330.0329.9229.9229.929.63K
Oct 16, 202630.2930.3430.1530.1830.183.51K
Oct 15, 202630.0930.1630.0230.0230.023.47K
Oct 14, 202629.7729.7729.7729.7729.77186
Oct 13, 202629.7929.7929.5329.5329.532.08K
Oct 12, 202629.6629.7029.6429.7029.70525
Oct 9, 202629.3029.5429.3029.5229.521.18K
Oct 8, 202629.1729.4129.0829.4129.414.70K
Oct 7, 202629.1929.2429.1629.1629.16845
Oct 6, 202629.1629.2729.1529.2329.232.64K
Oct 5, 202629.1129.1329.1129.1129.11466
Oct 2, 202629.0129.0228.9829.0229.021.75K
Oct 1, 202628.8628.9028.8028.9028.903.07K
Sep 30, 202629.3729.3729.0429.0429.042.64K
Sep 29, 202629.2329.3329.2229.3329.333.37K
Sep 28, 202629.4029.4329.3929.4029.405.52K
Sep 25, 202629.4829.5429.4729.5429.441.91K
Sep 24, 202629.4629.4629.3429.3529.251.97K
Sep 23, 202629.5829.6129.4529.4529.363.86K
Sep 22, 202629.5129.6429.4929.6129.512.71K
Sep 21, 202629.5529.6029.5529.5729.472.17K
Sep 18, 202629.4529.5129.4529.5029.404.10K
Sep 17, 202629.5629.6229.5029.6029.502.73K
Sep 16, 202629.7529.7529.4029.5129.411.34K
Sep 15, 202629.8029.8029.6929.7329.632.40K
Sep 14, 202629.8129.8229.7629.8229.72980
Sep 11, 202629.7329.8629.7329.7729.67885
Sep 10, 202629.6729.7529.6529.6529.552.13K
Sep 9, 202629.7129.7329.6529.7029.601.20K
Sep 8, 202629.8929.9129.8529.8529.751.46K
Sep 4, 202630.3230.3230.1830.1830.093.90K
Sep 3, 202630.4030.4130.2430.3730.271.44K
Sep 2, 202630.2930.3230.2630.3230.22970
Sep 1, 202630.2530.2530.1030.1030.00738
Aug 31, 202630.2030.2430.2030.2030.101.81K
Aug 28, 202630.3530.3730.3530.3730.27434
Aug 27, 202630.4330.5030.4130.4130.311.81K
Aug 26, 202630.7030.7130.7030.7030.591.07K
Aug 25, 202630.7030.7030.7030.7030.601.16K
Aug 24, 202630.6530.7030.6330.7030.602.39K
Aug 21, 202630.4430.5130.4430.5130.412.17K
Aug 20, 202630.5730.6230.4030.4030.30303.13K
Aug 19, 202630.5730.7030.5730.6230.52178.56K
Aug 18, 202630.4430.4630.4330.4630.36872
Aug 17, 202630.3330.3330.3230.3330.23565
Aug 14, 202630.4830.4830.4830.4830.38110
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 Coastal Compass 100 ETF Historical Prices

What is OHLC data for ROPE?

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

The adjusted close price for ROPE 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 ROPE price history go?

ROPE historical price data is available from the ETF's inception on Dec 16, 2024. 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 ROPE data?

ROPE 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 ROPE?

Trading volume for ROPE 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.