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First Trust Germany AlphaDEX Fund

FGMNASDAQFirst TrustEquity

$57.06Today:- (-)1Y −0.94%

As of Oct 26, 2026 close

Assets (AUM)
$89.86M
Expense ratio
0.80%
Dividend yield
1.88%
Holdings
44
52-week range
$54.50$71.12
Volume (live)
-
Avg. volume (3M)
4.76K

FGM ETF Historical Prices: First Trust Germany AlphaDEX Fund

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

FGM Historical Price Chart: Trends & Patterns

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

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FGM 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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FGM 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 26, 202657.1357.1857.1157.0557.052.46K
Oct 23, 202656.4056.4956.3756.3856.387.00K
Oct 22, 202657.0857.0856.8356.9956.992.14K
Oct 21, 202657.9757.9957.9357.9357.93483
Oct 20, 202656.9157.9556.9157.9557.95827
Oct 19, 202657.4857.5357.4357.4357.433.39K
Oct 16, 202658.4758.4757.9357.9657.962.12K
Oct 15, 202656.8857.6556.8857.6557.651.29K
Oct 14, 202657.1757.1756.9256.9856.98888
Oct 13, 202657.4057.4257.0757.4257.426.74K
Oct 12, 202657.1457.1456.9657.0157.011.32K
Oct 9, 202657.1957.1956.9657.1057.102.25K
Oct 8, 202656.5456.7556.3856.7556.756.31K
Oct 7, 202657.1057.4457.1057.4457.441.02K
Oct 6, 202658.5958.5958.3958.3958.39482
Oct 5, 202659.8061.5958.0658.1758.173.41K
Oct 2, 202658.5258.5258.4058.4158.4113.54K
Oct 1, 202657.8458.0257.8358.0258.022.24K
Sep 30, 202659.2659.2659.1959.1959.19849
Sep 29, 202659.7559.7559.7559.7559.75299
Sep 28, 202660.6260.6260.1060.3760.373.83K
Sep 25, 202660.4660.8660.1660.8660.86488
Sep 24, 202660.6360.6360.3860.3860.38722
Sep 23, 202661.1661.1660.9060.9060.71937
Sep 22, 202662.4162.4162.1162.4162.221.59K
Sep 21, 202661.6661.8761.6661.8161.6236.65K
Sep 18, 202661.4561.5661.4561.5661.3634.41K
Sep 17, 202662.5462.5461.3562.4562.254.34K
Sep 16, 202662.4562.5361.9861.9861.79774
Sep 15, 202662.2762.2762.2762.2762.07166
Sep 14, 202661.7162.4661.7162.4062.202.50K
Sep 11, 202663.5263.5263.3763.4163.21957
Sep 10, 202663.3863.3863.1063.1062.901.40K
Sep 9, 202664.0764.0764.0764.0763.87187
Sep 8, 202664.7164.7264.7164.7264.52372
Sep 4, 202664.6964.7064.2064.2764.073.35K
Sep 3, 202663.8263.8263.6963.6963.49346
Sep 2, 202660.2562.8960.2562.8962.70949
Sep 1, 202663.1663.1662.9362.9362.731.07K
Aug 31, 202664.2564.2563.7663.9763.772.25K
Aug 28, 202664.6164.6164.4164.4864.284.67K
Aug 27, 202664.3264.4164.3264.4164.202.69K
Aug 26, 202664.1664.1663.8864.0263.822.94K
Aug 25, 202663.5363.8663.5363.8663.663.15K
Aug 24, 202663.2563.5063.2563.5063.303.24K
Aug 21, 202663.5563.5563.5363.5363.33521
Aug 20, 202662.7662.8462.7662.8462.64257
Aug 19, 202663.0063.1563.0063.1562.95500
Aug 18, 202662.8962.8962.4862.5562.351.76K
Aug 17, 202662.9263.3862.9263.1962.991.53K
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 26, 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 First Trust Germany AlphaDEX Fund Historical Prices

What is OHLC data for FGM?

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

The adjusted close price for FGM 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 FGM price history go?

FGM historical price data is available from the ETF's inception on Feb 13, 2012. 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 FGM data?

FGM 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 FGM?

Trading volume for FGM 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.