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FundX Aggressive ETF

XNAVNYSEARCAFundXEquity

$87.09Today:- (-)1Y +8.88%

As of Oct 23, 2026 close

Assets (AUM)
$31.85M
Expense ratio
1.27%
Dividend yield
0.54%
Holdings
23
52-week range
$76.09$100.67
Volume (live)
-
Avg. volume (3M)
514

XNAV ETF Historical Prices: FundX Aggressive ETF

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

XNAV Historical Price Chart: Trends & Patterns

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

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XNAV 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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XNAV 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, 202687.0987.0987.0987.0987.09103
Oct 22, 202686.8986.8986.8986.8986.8917
Oct 21, 202689.5189.5189.5189.5189.5120
Oct 20, 202688.5788.5788.5788.5788.5712
Oct 19, 202688.3988.3988.3988.3988.3961
Oct 16, 202689.0489.0487.4487.4487.44114
Oct 15, 202687.8489.5687.8489.5689.56152
Oct 14, 202689.6389.6389.5289.5289.52123
Oct 13, 202691.3991.7991.3991.7991.79124
Oct 12, 202692.6192.6192.1092.1092.10184
Oct 9, 202693.1693.1693.1693.1693.1639
Oct 8, 202692.6692.6692.6692.6692.6623
Oct 7, 202693.9793.9793.9793.9793.9726
Oct 6, 202694.5994.5994.5994.5994.5929
Oct 5, 202694.3494.4494.3494.4494.44230
Oct 2, 202693.9493.9493.9493.9493.94265
Oct 1, 202692.1692.9492.1692.9492.94952
Sep 30, 202692.5692.5692.3992.3992.39677
Sep 29, 202692.3192.3692.3192.3692.36148
Sep 28, 202692.0692.2192.0692.2192.21688
Sep 25, 202693.1493.3293.1493.3293.321.27K
Sep 24, 202692.7392.7392.7392.7392.73162
Sep 23, 202692.8992.8992.6992.7092.70553
Sep 22, 202693.3793.8293.3793.8293.821.45K
Sep 21, 202693.2393.2393.2393.2393.2319
Sep 18, 202690.4890.9690.3990.9690.961.36K
Sep 17, 202690.7390.7390.7090.7090.70127
Sep 16, 202688.1588.8988.1588.8988.895.87K
Sep 15, 202689.1489.1489.1489.1489.14202
Sep 14, 202689.4089.4089.3889.3889.38416
Sep 11, 202691.4091.4091.4091.4091.4075
Sep 10, 202690.4090.4090.1890.3190.302.51K
Sep 9, 202691.5991.5991.5991.5991.59130
Sep 8, 202692.0392.0392.0392.0392.03407
Sep 4, 202691.4691.7591.4691.7591.751.73K
Sep 3, 202690.8390.8990.8390.8990.89231
Sep 2, 202690.1090.1090.1090.1090.1089
Sep 1, 202689.5389.5789.4989.5789.571.25K
Aug 31, 202690.7690.8990.7690.8990.89306
Aug 28, 202691.8791.8790.8690.8690.861.27K
Aug 27, 202692.0692.0692.0692.0692.0636
Aug 26, 202690.9190.9190.9190.9190.9140
Aug 25, 202690.6890.8090.6290.8090.805.23K
Aug 24, 202689.9590.0589.9590.0590.05758
Aug 21, 202691.3991.3991.3991.3991.3953
Aug 20, 202691.1491.1491.0691.0691.06646
Aug 19, 202691.5091.5191.5091.5191.51125
Aug 18, 202691.9791.9791.9791.9791.9720
Aug 17, 202694.4694.4694.4694.4694.4649
Aug 14, 202694.4694.4693.8294.2394.232.24K
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 FundX Aggressive ETF Historical Prices

What is OHLC data for XNAV?

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

The adjusted close price for XNAV 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 XNAV price history go?

XNAV historical price data is available from the ETF's inception on Jun 30, 2002. 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 XNAV data?

XNAV 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 XNAV?

Trading volume for XNAV 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.