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Research Affiliates Deletions ETF

NIXTNASDAQRAFI IndicesEquity

$34.24Today:- (-)1Y +30.59%

As of Oct 15, 2026 close

Assets (AUM)
$39.56M
Expense ratio
0.19%
Dividend yield
1.23%
Holdings
210
52-week range
$23.83$35.25
Volume (live)
-
Avg. volume (3M)
5.50K

NIXT ETF Historical Prices: Research Affiliates Deletions ETF

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

NIXT Historical Price Chart: Trends & Patterns

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

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NIXT 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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NIXT 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 15, 202633.4834.2433.4834.2434.2435.28K
Oct 14, 202633.3233.3233.1833.3033.313.04K
Oct 13, 202633.5733.7033.5333.6333.632.52K
Oct 12, 202633.4733.4733.4133.4333.431.82K
Oct 9, 202633.2533.4133.2433.4133.412.11K
Oct 8, 202632.7833.1932.7333.1933.192.61K
Oct 7, 202632.9032.9032.8532.8632.86965
Oct 6, 202633.1033.1033.0533.0533.05627
Oct 5, 202633.0633.1633.0633.1133.111.00K
Oct 2, 202632.9732.9732.7032.7032.701.02K
Oct 1, 202632.6132.7732.4332.6932.691.64K
Sep 30, 202632.6032.6832.4832.4832.483.81K
Sep 29, 202632.5632.5632.3932.5632.561.02K
Sep 28, 202632.6232.6632.4232.5732.576.20K
Sep 25, 202632.9133.0332.9132.9732.8810.92K
Sep 24, 202633.0133.0132.8232.9932.893.15K
Sep 23, 202633.5133.5133.1833.1833.094.66K
Sep 22, 202633.5933.6533.4833.5633.4710.94K
Sep 21, 202633.1533.3133.0633.2833.192.73K
Sep 18, 202633.3533.3533.0433.0532.9634.50K
Sep 17, 202633.6233.6233.4933.4933.40532
Sep 16, 202633.7033.7933.4133.4133.322.86K
Sep 15, 202633.6533.8233.6333.6333.5415.91K
Sep 14, 202633.9133.9133.8033.8033.713.44K
Sep 11, 202633.4833.4833.3533.4133.32765
Sep 10, 202633.0733.3033.0733.0933.00878
Sep 9, 202633.6333.6333.3733.3733.283.42K
Sep 8, 202634.6134.6133.8733.8733.781.86K
Sep 4, 202634.4334.6634.3834.6634.563.87K
Sep 3, 202634.5934.7734.5934.7734.68977
Sep 2, 202634.6534.6934.6434.6434.546.94K
Sep 1, 202633.3134.5933.3134.2834.191.25K
Aug 31, 202634.6634.7734.6634.7734.672.66K
Aug 28, 202635.0135.0434.8434.8734.773.68K
Aug 27, 202635.1235.2534.9134.9134.821.34K
Aug 26, 202634.7634.8334.7634.8334.73266
Aug 25, 202634.6334.7734.6334.7734.68512
Aug 24, 202634.8234.8234.7534.7534.66722
Aug 21, 202634.5734.8934.5634.8334.733.63K
Aug 20, 202635.2435.2434.5034.5034.401.75K
Aug 19, 202634.9934.9934.9334.9334.832.46K
Aug 18, 202634.1234.1233.9333.9333.83546
Aug 17, 202634.1034.1033.9633.9633.861.70K
Aug 14, 202634.6534.6634.6034.6034.513.29K
Aug 13, 202634.3534.8734.3534.8734.771.09K
Aug 12, 202634.0034.3134.0034.3134.21887
Aug 11, 202634.4434.4434.3234.3234.23982
Aug 10, 202634.2934.3534.2934.3334.23687
Aug 7, 202634.4034.5034.4034.5034.401.42K
Aug 6, 202635.0335.0334.1034.1034.011.76K
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 15, 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 Research Affiliates Deletions ETF Historical Prices

What is OHLC data for NIXT?

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

The adjusted close price for NIXT 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 NIXT price history go?

NIXT historical price data is available from the ETF's inception on Sep 8, 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 NIXT data?

NIXT 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 NIXT?

Trading volume for NIXT 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.