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Franklin U.S. Large Cap Multifactor Index ETF

FLQLBATSFranklin TempletonEquity

$78.59Today:- (-)1Y +16.31%

As of Oct 15, 2026 close

Assets (AUM)
$2.19B
Expense ratio
0.15%
Dividend yield
1.05%
Holdings
221
52-week range
$65.30$81.55
Volume (live)
-
Avg. volume (3M)
95.58K

FLQL ETF Historical Prices: Franklin U.S. Large Cap Multifactor Index ETF

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

FLQL Historical Price Chart: Trends & Patterns

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

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FLQL 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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FLQL 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, 202678.2378.6977.8878.5978.5959.87K
Oct 14, 202679.1379.2478.3478.6178.6144.47K
Oct 13, 202679.6579.6779.2379.5879.5840.98K
Oct 12, 202679.9179.9379.6779.7779.7750.49K
Oct 9, 202679.8680.0279.5679.8779.8746.59K
Oct 8, 202679.6179.8879.3479.5279.5267.24K
Oct 7, 202679.7079.9879.5479.9779.9791.21K
Oct 6, 202680.2180.3379.9980.1880.1878.19K
Oct 5, 202679.5180.0279.3679.8579.8571.22K
Oct 2, 202679.4479.6479.2579.4379.4398.01K
Oct 1, 202678.5078.7278.0478.5678.56156.15K
Sep 30, 202678.9379.0578.3578.4378.43124.66K
Sep 29, 202678.8078.8078.3378.5378.53156.62K
Sep 28, 202678.8978.9478.4078.6978.6947.55K
Sep 25, 202678.9279.2178.6679.2179.2160.67K
Sep 24, 202678.1378.6878.1378.6078.60156.00K
Sep 23, 202679.2979.2978.4578.6778.67108.92K
Sep 22, 202679.3479.4079.1579.3279.32388.39K
Sep 21, 202678.8579.4678.7079.3279.3278.46K
Sep 18, 202678.1478.3077.8478.2778.2797.21K
Sep 17, 202678.4578.4578.0278.2278.03191.74K
Sep 16, 202678.1278.1276.9177.3677.1785.08K
Sep 15, 202677.9477.9477.4777.6677.4749.22K
Sep 14, 202677.9778.2577.7277.9177.7248.51K
Sep 11, 202678.6479.0378.6478.7978.5975.70K
Sep 10, 202677.8578.0877.7377.9177.7249.21K
Sep 9, 202678.4378.6278.1678.2978.1096.56K
Sep 8, 202678.9278.9478.6278.7078.5144.77K
Sep 4, 202679.1779.2678.8278.9878.7888.90K
Sep 3, 202678.4279.1278.4079.1078.90114.79K
Sep 2, 202678.0378.3077.9078.2978.1084.08K
Sep 1, 202677.6678.0777.5677.8177.6262.33K
Aug 31, 202678.4778.4778.0178.2578.06160.30K
Aug 28, 202679.1679.2178.4378.5578.3551.96K
Aug 27, 202678.8079.1778.7379.0278.8293.18K
Aug 26, 202678.5878.8078.4678.7078.5161.32K
Aug 25, 202678.7378.7378.2978.6078.4178.91K
Aug 24, 202678.3278.4378.0878.2978.1043.34K
Aug 21, 202678.6378.6978.4078.5578.35104.01K
Aug 20, 202678.5678.8478.1778.1777.98107.54K
Aug 19, 202679.4179.4178.8078.8978.69154.43K
Aug 18, 202679.0779.1878.7578.9278.7259.78K
Aug 17, 202679.8079.8779.6579.6679.4637.23K
Aug 14, 202679.7879.8579.4479.6379.4399.73K
Aug 13, 202679.6380.1679.6379.8279.6272.05K
Aug 12, 202679.8379.8379.4879.5579.3570.24K
Aug 11, 202679.6681.5579.0279.0878.8939.34K
Aug 10, 202679.6879.7279.3379.3979.1970.17K
Aug 7, 202679.6279.7579.3279.6879.4871.14K
Aug 6, 202679.3879.6479.0479.0978.8979.37K
Show:
of 126

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 Franklin U.S. Large Cap Multifactor Index ETF Historical Prices

What is OHLC data for FLQL?

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

The adjusted close price for FLQL 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 FLQL price history go?

FLQL historical price data is available from the ETF's inception on Apr 25, 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 FLQL data?

FLQL 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 FLQL?

Trading volume for FLQL 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.