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Rayliant SMDAM Japan Equity ETF

RAYJNYSEARCARayliantEquity

$37.44Today:- (-)1Y +11.93%

As of Aug 3, 2026 close

Assets (AUM)
$24.35M
Expense ratio
0.72%
Dividend yield
4.77%
Holdings
2
52-week range
$32.00$41.91
Volume (live)
-
Avg. volume (3M)
-

RAYJ ETF Historical Prices: Rayliant SMDAM Japan Equity ETF

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

RAYJ Historical Price Chart: Trends & Patterns

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

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RAYJ 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 · Daily73 records
Showing 1-50 of 73
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RAYJ 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
Aug 3, 202637.4437.4437.4437.4437.44N/A
Jul 31, 202637.4437.4437.4437.4437.44N/A
Jul 30, 202637.4437.4437.4437.4437.44132
Jul 29, 202637.4437.4437.4437.4437.44344
Jul 28, 202637.4437.4537.4437.4437.4413.36K
Jul 27, 202637.4437.4437.4437.4437.44126
Jul 24, 202637.4837.4837.4437.4437.44804
Jul 23, 202637.4437.4437.3937.4037.404.98K
Jul 22, 202637.5537.5837.4937.4937.497.98K
Jul 21, 202637.6037.8837.6037.8837.87484
Jul 20, 202637.0537.0536.9036.9036.906.13K
Jul 17, 202636.5236.8036.5236.7336.73848
Jul 16, 202637.4437.4437.2037.2037.20366
Jul 15, 202638.1738.1738.1738.1738.17486
Jul 14, 202638.3538.3538.3538.3538.35250
Jul 13, 202638.0238.0237.7937.7937.79542
Jul 10, 202638.7038.8238.6538.8238.824.17K
Jul 9, 202639.1039.1039.0239.0839.082.84K
Jul 8, 202638.0838.4538.0538.4538.453.33K
Jul 7, 202638.4738.4738.4738.4738.47566
Jul 6, 202639.7639.8839.7639.8839.883.01K
Jul 2, 202639.5539.5538.8038.8038.803.14K
Jul 1, 202639.9539.9539.5239.8539.852.15K
Jun 30, 202639.8540.2339.8540.2340.231.87K
Jun 29, 202639.7440.0839.4539.7339.732.44K
Jun 26, 202639.6539.9539.6539.8439.842.61K
Jun 25, 202640.5040.5040.1440.1440.141.01K
Jun 24, 202640.7140.7139.6039.6039.604.04K
Jun 23, 202639.5139.7639.5139.7639.764.09K
Jun 22, 202641.8541.9141.8541.8541.853.67K
Jun 18, 202641.0041.0141.0041.0141.01366
Jun 17, 202640.8541.0040.7040.7840.786.53K
Jun 16, 202640.1340.1340.1340.1340.13162
Jun 15, 202639.9439.9439.9439.9439.9475
Jun 12, 202638.8938.9738.8938.9738.97399
Jun 11, 202637.4538.3037.4538.3038.306.72K
Jun 10, 202637.4537.5236.9036.9036.902.58K
Jun 9, 202638.4138.4137.3037.6337.634.25K
Jun 8, 202638.4338.7038.3338.5238.525.58K
Jun 5, 202640.0040.0539.4039.4338.204.66K
Jun 4, 202640.2340.3340.1640.3039.053.56K
Jun 3, 202640.6740.6740.6740.6739.41186
Jun 2, 202640.7340.7340.7340.7339.4759
Jun 1, 202640.7441.0040.7441.0039.734.34K
May 29, 202641.0841.0840.9840.9839.71265
May 28, 202640.8240.9040.7040.7739.513.79K
May 27, 202640.3240.4540.3140.3139.061.32K
May 26, 202640.6340.7340.5140.7339.461.81K
May 22, 202639.7439.9639.7439.8538.612.75K
May 21, 202638.8639.2538.8639.2538.031.81K
Show:
of 73

Source: Daily exchange trading data. Data as of Aug 3, 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 Rayliant SMDAM Japan Equity ETF Historical Prices

What is OHLC data for RAYJ?

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

The adjusted close price for RAYJ 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 RAYJ price history go?

RAYJ historical price data is available from the ETF's inception on Apr 3, 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 RAYJ data?

RAYJ 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 RAYJ?

Trading volume for RAYJ 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.