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First Trust Bloomberg R&D Leaders ETF

RNDNYSEARCAFirst TrustEquity

$32.90Today:- (-)1Y +9.00%

As of Oct 26, 2026 close

Assets (AUM)
$10.13M
Expense ratio
0.60%
Dividend yield
-
Holdings
51
52-week range
$26.25$34.41
Volume (live)
-
Avg. volume (3M)
2.58K

RND ETF Historical Prices: First Trust Bloomberg R&D Leaders ETF

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

RND Historical Price Chart: Trends & Patterns

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

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RND 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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RND 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 27, 202633.2733.2733.2733.2733.27188
Oct 26, 202632.9032.9032.9032.9032.9070
Oct 23, 202632.6632.6632.6232.6232.62529
Oct 22, 202632.8432.8432.7932.7932.79184
Oct 21, 202633.3233.6033.3233.5833.572.83K
Oct 20, 202633.5833.5833.3733.3733.375.58K
Oct 19, 202633.3833.4133.3833.3933.39309
Oct 16, 202633.0733.0933.0733.0933.096.90K
Oct 15, 202633.5433.7833.5433.7433.74901
Oct 14, 202633.9633.9633.6533.6533.65138
Oct 13, 202634.1434.2234.1434.1734.171.59K
Oct 12, 202634.2034.2034.1134.1434.143.27K
Oct 9, 202634.1334.1734.1334.1634.165.04K
Oct 8, 202634.1034.1033.7833.8833.882.56K
Oct 7, 202634.2334.2834.2334.2834.281.70K
Oct 6, 202634.3334.4134.3134.3134.313.20K
Oct 5, 202633.9234.0233.9234.0234.02431
Oct 2, 202633.8833.8833.7033.7533.757.58K
Oct 1, 202633.4133.4133.4133.4133.4137
Sep 30, 202633.6933.6933.5333.5433.544.08K
Sep 29, 202633.4933.4933.4733.4733.47295
Sep 28, 202633.4933.5633.4433.4933.49786
Sep 25, 202633.5933.8533.5933.8333.833.36K
Sep 24, 202633.3733.5933.3733.5933.592.38K
Sep 23, 202633.5733.6133.4833.4833.482.87K
Sep 22, 202633.8533.8533.7933.8333.831.81K
Sep 21, 202633.4233.7133.4233.7133.71258
Sep 18, 202632.8032.9132.8032.9132.91651
Sep 17, 202632.7032.8232.7032.8232.82826
Sep 16, 202632.5632.5832.2332.2932.295.13K
Sep 15, 202632.5432.5432.3532.3532.3512.15K
Sep 14, 202632.4832.6032.4332.6032.61859
Sep 11, 202632.7932.7932.7332.7332.731.30K
Sep 10, 202632.4332.4332.4132.4132.401.02K
Sep 9, 202632.5732.5732.5632.5632.56738
Sep 8, 202632.8032.8332.6932.6932.6910.52K
Sep 4, 202633.1433.1433.0233.0833.085.19K
Sep 3, 202633.0733.3033.0733.2633.261.31K
Sep 2, 202632.9132.9132.9132.9132.91299
Sep 1, 202632.7332.7332.7332.7332.73276
Aug 31, 202633.0033.0032.9632.9632.96144
Aug 28, 202633.1733.1733.0533.0833.081.57K
Aug 27, 202632.9933.1032.9933.1033.106.36K
Aug 26, 202632.9232.9232.7832.8532.859.49K
Aug 25, 202632.8132.9232.8132.9132.912.10K
Aug 24, 202632.8632.8632.7832.7832.78968
Aug 21, 202632.9132.9232.8832.8832.883.74K
Aug 20, 202632.6632.6632.6232.6232.62408
Aug 19, 202632.9033.0632.9032.9632.966.27K
Aug 18, 202632.7532.8432.7532.7532.752.90K
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 27, 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 First Trust Bloomberg R&D Leaders ETF Historical Prices

What is OHLC data for RND?

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

The adjusted close price for RND 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 RND price history go?

RND historical price data is available from the ETF's inception on Apr 29, 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 RND data?

RND 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 RND?

Trading volume for RND 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.