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Fidelity Metaverse ETF

FMETNASDAQFidelityEquity

$39.19Today:- (-)1Y +3.96%

As of Oct 15, 2026 close

Assets (AUM)
$43.17M
Expense ratio
0.39%
Dividend yield
0.69%
Holdings
66
52-week range
$30.14$40.25
Volume (live)
-
Avg. volume (3M)
2.55K

FMET ETF Historical Prices: Fidelity Metaverse ETF

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

FMET Historical Price Chart: Trends & Patterns

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

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FMET 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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FMET 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, 202639.1939.1939.1939.1939.19532
Oct 14, 202638.5138.5738.5138.5738.571.77K
Oct 13, 202639.7339.7339.7039.7039.70639
Oct 12, 202639.6339.6339.4439.4639.462.23K
Oct 9, 202639.5739.7439.5239.6539.658.64K
Oct 8, 202639.4839.4839.1739.2939.291.79K
Oct 7, 202639.7139.8839.7139.8539.852.07K
Oct 6, 202640.1040.1340.0240.0740.072.70K
Oct 5, 202639.6439.8939.6439.8739.862.09K
Oct 2, 202639.4839.4839.2539.2539.254.77K
Oct 1, 202638.9739.0038.9639.0039.00342
Sep 30, 202639.1139.1138.7938.7938.792.01K
Sep 29, 202638.9138.9138.5738.5738.57575
Sep 28, 202639.0539.0538.5638.6338.635.87K
Sep 25, 202639.3939.4939.3139.3739.374.59K
Sep 24, 202639.3339.3939.1939.3939.393.22K
Sep 23, 202639.6339.7239.4539.4539.452.09K
Sep 22, 202639.9140.0039.8439.9239.924.81K
Sep 21, 202638.9139.9538.9139.9039.903.44K
Sep 18, 202638.8238.8238.2738.4538.451.14K
Sep 17, 202638.4838.7938.1538.7938.699.44K
Sep 16, 202638.5638.7538.1638.1638.061.14K
Sep 15, 202638.9538.9538.5938.5938.492.80K
Sep 14, 202638.3638.8538.3638.6938.581.61K
Sep 11, 202638.7338.7738.7238.7238.61764
Sep 10, 202637.8538.0737.8538.0737.96363
Sep 9, 202638.3938.3938.2038.2338.122.68K
Sep 8, 202638.3638.4338.3638.4338.32366
Sep 4, 202638.5238.5738.5238.5738.46562
Sep 3, 202638.3838.7338.3838.6438.531.44K
Sep 2, 202638.0438.3338.0438.3038.191.67K
Sep 1, 202638.2338.4138.1338.1338.03887
Aug 31, 202638.5138.7238.5038.7238.622.19K
Aug 28, 202639.0639.1838.7738.7738.663.37K
Aug 27, 202638.7438.9438.7438.9438.832.77K
Aug 26, 202638.7338.7338.5538.5538.44519
Aug 25, 202638.6238.7738.5938.7738.664.19K
Aug 24, 202638.2838.3438.1638.2738.163.64K
Aug 21, 202638.6638.6638.5338.5638.451.24K
Aug 20, 202638.2938.4838.1738.3138.213.59K
Aug 19, 202638.4738.5838.3738.4538.345.81K
Aug 18, 202638.5038.5038.2738.2738.16591
Aug 17, 202639.4339.4338.8238.9038.7914.76K
Aug 14, 202639.4039.5339.4039.5339.422.89K
Aug 13, 202639.0039.0738.7939.0238.911.76K
Aug 12, 202638.8038.8038.6038.6438.531.49K
Aug 11, 202638.6738.7638.3838.5138.4111.35K
Aug 10, 202638.6738.6738.6738.6738.57592
Aug 7, 202638.6038.9038.5338.9038.792.51K
Aug 6, 202637.9238.2737.9238.2038.1010.18K
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 Fidelity Metaverse ETF Historical Prices

What is OHLC data for FMET?

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

The adjusted close price for FMET 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 FMET price history go?

FMET historical price data is available from the ETF's inception on Apr 18, 2022. 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 FMET data?

FMET 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 FMET?

Trading volume for FMET 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.