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FundX ETF

XCORNYSEARCAFundXEquity

$86.42Today:- (-)1Y +10.00%

As of Oct 23, 2026 close

Assets (AUM)
$185.76M
Expense ratio
1.15%
Dividend yield
0.40%
Holdings
13
52-week range
$74.07$91.76
Volume (live)
-
Avg. volume (3M)
1.05K

XCOR ETF Historical Prices: FundX ETF

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

XCOR Historical Price Chart: Trends & Patterns

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

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XCOR 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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XCOR 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, 202686.7886.7886.4286.4286.421.43K
Oct 22, 202686.9586.9586.5886.7786.771.49K
Oct 21, 202688.2588.6588.2588.5488.542.23K
Oct 20, 202687.8587.8587.8587.8587.85346
Oct 19, 202687.6388.1187.6387.7187.71806
Oct 16, 202688.0888.0887.1487.2587.25633
Oct 15, 202688.4788.7288.4788.7288.72691
Oct 14, 202688.8688.8688.5888.5888.58239
Oct 13, 202689.9090.1289.9090.1290.12940
Oct 12, 202690.3790.3790.3790.3790.37192
Oct 9, 202690.4890.9490.4890.9490.94149
Oct 8, 202690.3990.3990.3990.3990.3975
Oct 7, 202690.3191.2290.3191.1791.17981
Oct 6, 202691.5691.5991.3991.3991.39937
Oct 5, 202690.1091.0090.1090.8890.881.04K
Oct 2, 202690.6090.6090.5790.5790.571.34K
Oct 1, 202689.9590.0889.9389.9389.932.17K
Sep 30, 202689.5890.0889.5889.6689.661.43K
Sep 29, 202689.4689.6689.4689.6589.651.11K
Sep 28, 202689.7789.8489.6389.6389.63685
Sep 25, 202690.5390.5390.5390.5390.5330
Sep 24, 202690.0690.0690.0690.0690.06244
Sep 23, 202689.9089.9689.9089.9689.963.38K
Sep 22, 202690.5990.8590.5890.8190.81798
Sep 21, 202690.5390.5390.5390.5390.53245
Sep 18, 202688.2988.7988.1888.7988.794.36K
Sep 17, 202688.3188.3588.2788.3588.35828
Sep 16, 202687.6187.6486.6986.9486.941.51K
Sep 15, 202687.1887.1887.1887.1887.18100
Sep 14, 202687.6687.7487.6087.6087.601.09K
Sep 11, 202688.5988.5988.5988.5988.59145
Sep 10, 202688.1088.1087.7687.7687.76173
Sep 9, 202688.6988.7188.6488.6488.64383
Sep 8, 202689.0589.0888.9288.9288.924.21K
Sep 4, 202689.1789.1789.1789.1789.18162
Sep 3, 202687.7988.8187.7988.8188.81140
Sep 2, 202687.2587.8987.2587.8987.891.37K
Sep 1, 202687.4587.4587.4587.4587.45240
Aug 31, 202688.0988.3888.0988.3888.371.71K
Aug 28, 202688.5188.5188.5188.5188.51275
Aug 27, 202689.0089.0089.0089.0088.99185
Aug 26, 202687.6188.1987.6188.1988.19155
Aug 25, 202688.0488.1187.9288.1188.115.04K
Aug 24, 202687.6187.7787.6187.6187.611.61K
Aug 21, 202688.5188.5188.5188.5188.51209
Aug 20, 202688.5988.5988.1388.1388.13324
Aug 19, 202688.5788.5788.5788.5788.5772
Aug 18, 202688.8889.0088.8889.0089.00314
Aug 17, 202690.9091.0090.5990.5990.591.35K
Aug 14, 202690.7990.7990.3190.4190.41362
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 ETF Historical Prices

What is OHLC data for XCOR?

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

The adjusted close price for XCOR 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 XCOR price history go?

XCOR historical price data is available from the ETF's inception on Oct 31, 2001. 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 XCOR data?

XCOR 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 XCOR?

Trading volume for XCOR 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.