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Fidelity Emerging Markets Multifactor ETF

FDEMBATSFidelityEquity

$34.15Today:- (-)1Y +12.89%

As of Oct 16, 2026 close

Assets (AUM)
$592.57M
Expense ratio
0.25%
Dividend yield
3.38%
Holdings
241
52-week range
$29.57$38.32
Volume (live)
-
Avg. volume (3M)
141.38K

FDEM ETF Historical Prices: Fidelity Emerging Markets Multifactor ETF

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

FDEM Historical Price Chart: Trends & Patterns

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

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FDEM 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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FDEM 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 16, 202634.3634.4033.9534.1534.1542.13K
Oct 15, 202634.2434.6334.0734.5034.5052.58K
Oct 14, 202634.9135.0634.6234.7234.7249.36K
Oct 13, 202635.1935.2935.0135.1935.1988.17K
Oct 12, 202635.6135.6135.3635.4835.4827.71K
Oct 9, 202635.5935.7135.4235.6435.641.49M
Oct 8, 202635.5735.5735.1335.2335.2369.11K
Oct 7, 202635.6635.8435.5035.7335.7371.77K
Oct 6, 202636.2736.2936.0436.1636.1627.98K
Oct 5, 202636.2936.4236.0836.2836.2842.86K
Oct 2, 202635.8935.9835.6535.8835.8892.27K
Oct 1, 202635.5435.6235.3135.6035.6049.23K
Sep 30, 202635.7335.8335.5235.5435.5457.52K
Sep 29, 202635.7935.9435.6735.8035.8041.30K
Sep 28, 202635.8636.0835.5035.8135.8146.87K
Sep 25, 202635.9736.1935.9136.1936.1918.10K
Sep 24, 202635.9936.2535.7635.9735.97216.66K
Sep 23, 202636.2436.4035.9436.0436.04103.37K
Sep 22, 202636.5136.6736.3136.6136.6166.22K
Sep 21, 202636.3636.7336.1836.5936.5991.30K
Sep 18, 202635.8535.8535.5335.8035.8042.98K
Sep 17, 202636.0336.2636.0036.1635.7954.20K
Sep 16, 202635.9935.9935.4735.5835.21295.82K
Sep 15, 202635.8535.8535.6235.7035.3335.20K
Sep 14, 202636.0236.1435.7935.9135.53758.90K
Sep 11, 202636.7336.7636.5336.6136.2338.07K
Sep 10, 202636.5636.5636.1936.3735.9935.70K
Sep 9, 202637.0537.2036.9537.0036.6136.92K
Sep 8, 202637.1337.4637.0137.2136.82155.05K
Sep 4, 202636.5737.0036.5736.9936.6048.54K
Sep 3, 202636.2836.5836.1236.4936.1155.01K
Sep 2, 202636.1536.3136.1236.2835.9030.08K
Sep 1, 202636.2336.4036.0136.1435.7628.13K
Aug 31, 202636.1836.3235.9736.1735.7960.45K
Aug 28, 202636.2736.3536.0336.0335.6630.48K
Aug 27, 202636.2536.4736.1036.2435.8640.23K
Aug 26, 202636.2536.3636.2036.2635.8824.50K
Aug 25, 202636.0036.2735.9736.2735.8941.01K
Aug 24, 202635.9835.9835.6035.7735.3942.36K
Aug 21, 202636.2636.2836.0336.0835.7060.21K
Aug 20, 202635.8235.9635.6635.8635.4848.89K
Aug 19, 202636.0636.0635.6135.7335.3536.23K
Aug 18, 202635.7235.7635.2035.2534.8856.32K
Aug 17, 202636.1836.5936.1436.2535.8772.88K
Aug 14, 202636.1436.1735.9436.0435.6635.55K
Aug 13, 202635.7836.1735.7836.0535.6757.56K
Aug 12, 202636.0236.0235.8035.8835.5041.44K
Aug 11, 202635.5935.6535.3435.4735.10105.83K
Aug 10, 202635.1435.4035.1435.3234.9569.83K
Aug 7, 202635.6835.7135.2735.6035.2249.81K
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 16, 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 Emerging Markets Multifactor ETF Historical Prices

What is OHLC data for FDEM?

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

The adjusted close price for FDEM 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 FDEM price history go?

FDEM historical price data is available from the ETF's inception on Feb 25, 2019. 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 FDEM data?

FDEM 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 FDEM?

Trading volume for FDEM 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.