Skip to main content
FTMS logo

Franklin Short-Term Municipal Income ETF

FTMSNYSEARCAFranklin TempletonFixed Income

$9.82Today:- (-)

As of Oct 23, 2026 close

Assets (AUM)
$206.39M
Expense ratio
0.21%
Dividend yield
3.09%
Holdings
262
52-week range
$9.68$10.09
Volume (live)
-
Avg. volume (3M)
289.72K

FTMS ETF Historical Prices: Franklin Short-Term Municipal Income ETF

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

FTMS Historical Price Chart: Trends & Patterns

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

Loading chart...

FTMS 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
Scroll for more columns
FTMS 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 23, 20269.839.849.829.829.82568.40K
Oct 22, 20269.809.839.809.819.81154.62K
Oct 21, 20269.759.809.759.799.79206.34K
Oct 20, 20269.829.829.789.799.79213.77K
Oct 19, 20269.789.809.779.799.79338.77K
Oct 16, 20269.769.799.759.789.78142.16K
Oct 15, 20269.749.799.749.799.79358.93K
Oct 14, 20269.749.769.749.759.75179.55K
Oct 13, 20269.719.769.719.759.752.12M
Oct 12, 20269.759.759.719.739.73148.04K
Oct 9, 20269.699.749.699.739.73225.79K
Oct 8, 20269.739.739.709.719.71647.37K
Oct 7, 20269.699.729.699.699.69403.56K
Oct 6, 20269.729.739.709.729.72256.44K
Oct 5, 20269.719.719.699.709.70313.37K
Oct 2, 20269.749.749.699.729.72141.70K
Oct 1, 20269.699.749.699.729.72134.05K
Sep 30, 20269.709.739.709.739.7073.53K
Sep 29, 20269.729.749.689.699.66396.62K
Sep 28, 20269.719.719.689.709.67177.51K
Sep 25, 20269.729.739.719.719.68152.39K
Sep 24, 20269.759.759.739.759.72104.68K
Sep 23, 20269.809.809.739.769.73132.91K
Sep 22, 20269.819.819.789.799.76120.16K
Sep 21, 20269.829.829.799.809.77255.18K
Sep 18, 20269.819.829.809.809.78206.68K
Sep 17, 20269.849.849.809.809.7784.36K
Sep 16, 20269.829.829.809.809.78156.76K
Sep 15, 20269.849.849.809.819.79136.54K
Sep 14, 20269.839.839.819.829.79143.02K
Sep 11, 20269.839.839.809.819.79169.87K
Sep 10, 20269.849.849.809.809.77630.88K
Sep 9, 20269.849.879.839.859.82295.46K
Sep 8, 20269.859.879.859.859.82323.92K
Sep 4, 20269.869.869.859.869.8381.12K
Sep 3, 20269.889.889.859.869.83131.23K
Sep 2, 20269.889.889.859.879.84333.37K
Sep 1, 20269.869.899.859.879.84977.64K
Aug 31, 20269.909.929.889.899.84194.79K
Aug 28, 20269.919.929.899.909.85120.67K
Aug 27, 20269.899.919.899.899.84182.23K
Aug 26, 20269.929.929.899.919.8672.09K
Aug 25, 20269.949.949.899.919.862.14M
Aug 24, 20269.919.919.899.919.86381.75K
Aug 21, 20269.899.909.899.909.8546.95K
Aug 20, 20269.909.919.899.899.84200.06K
Aug 19, 20269.919.929.899.929.87271.66K
Aug 18, 20269.909.919.889.919.86340.32K
Aug 17, 20269.909.929.909.909.8573.41K
Aug 14, 20269.919.929.899.909.85134.26K
Show:
of 126

Source: Daily exchange trading data. Data as of Oct 23, 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 Short-Term Municipal Income ETF Historical Prices

What is OHLC data for FTMS?

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

The adjusted close price for FTMS 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 FTMS price history go?

FTMS historical price data is available from the ETF's inception on Oct 26, 2025. 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 FTMS data?

FTMS 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 FTMS?

Trading volume for FTMS 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.