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First Trust SMID Growth Strength ETF

FSGSNASDAQFirst TrustEquity

$32.45Today:- (-)1Y +6.74%

As of Oct 16, 2026 close

Assets (AUM)
$28.88M
Expense ratio
0.60%
Dividend yield
0.03%
Holdings
101
52-week range
$28.35$34.16
Volume (live)
-
Avg. volume (3M)
1.34K

FSGS ETF Historical Prices: First Trust SMID Growth Strength ETF

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

FSGS Historical Price Chart: Trends & Patterns

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

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FSGS 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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FSGS 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, 202632.9232.9232.4332.4532.45943
Oct 15, 202632.6132.8732.6032.8732.871.36K
Oct 14, 202632.1832.2332.0332.1332.131.64K
Oct 13, 202632.4932.5032.4332.5032.506.55K
Oct 12, 202632.6632.6632.5832.5832.58977
Oct 9, 202632.3832.5732.3832.5732.571.39K
Oct 8, 202631.8632.3731.8632.3432.341.90K
Oct 7, 202632.0732.0732.0732.0732.0738
Oct 6, 202632.6732.6732.4632.4632.46788
Oct 5, 202632.4332.6232.4332.5032.501.14K
Oct 2, 202632.2732.2732.0832.0832.08260
Oct 1, 202632.2432.2432.0732.0932.09811
Sep 30, 202631.7831.7931.7531.7531.75716
Sep 29, 202631.4831.7231.4731.7231.721.64K
Sep 28, 202631.8631.8731.8131.8131.812.74K
Sep 25, 202632.1532.1532.0532.0532.05575
Sep 24, 202631.9332.0031.9332.0032.00243
Sep 23, 202632.3432.3432.0932.0932.09902
Sep 22, 202632.7032.7032.2432.3932.392.53K
Sep 21, 202632.5632.5832.5332.5332.541.12K
Sep 18, 202632.3532.3732.3532.3732.37216
Sep 17, 202632.9232.9232.5332.5532.551.39K
Sep 16, 202632.5532.5532.5532.5532.5582
Sep 15, 202632.6432.6432.6432.6432.6493
Sep 14, 202632.9932.9932.9332.9932.997.19K
Sep 11, 202632.8032.8332.7732.8332.83853
Sep 10, 202632.5932.5932.5932.5932.59308
Sep 9, 202632.8932.8932.7632.7632.76960
Sep 8, 202633.2333.2333.0833.0833.08684
Sep 4, 202633.5533.5533.5533.5533.55306
Sep 3, 202633.7233.7833.7033.7833.78851
Sep 2, 202633.4333.4933.4333.4933.49495
Sep 1, 202633.4133.6533.3533.3533.352.13K
Aug 31, 202633.7033.7633.7033.7633.76915
Aug 28, 202634.1434.1433.9233.9633.96777
Aug 27, 202634.1034.1034.0534.0934.10800
Aug 26, 202633.8833.9733.8833.9433.941.29K
Aug 25, 202633.7533.7633.6233.7633.761.91K
Aug 24, 202633.8733.8833.7933.8833.88758
Aug 21, 202633.9733.9733.9733.9733.97155
Aug 20, 202633.7433.7433.7433.7433.74357
Aug 19, 202634.1234.1234.0434.0434.04234
Aug 18, 202633.9533.9533.6833.6833.68619
Aug 17, 202633.9233.9233.8433.8633.861.19K
Aug 14, 202634.0634.0634.0334.0334.041.01K
Aug 13, 202634.1234.1634.1234.1634.162.46K
Aug 12, 202633.6433.7733.6433.7733.77738
Aug 11, 202633.7733.9233.7733.7733.771.94K
Aug 10, 202633.7433.7433.7433.7433.74100
Aug 7, 202633.7633.7633.7633.7633.76130
Show:
of 126

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 First Trust SMID Growth Strength ETF Historical Prices

What is OHLC data for FSGS?

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

The adjusted close price for FSGS 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 FSGS price history go?

FSGS historical price data is available from the ETF's inception on Jun 19, 2017. 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 FSGS data?

FSGS 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 FSGS?

Trading volume for FSGS 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.