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Franklin Massachusetts Municipal Income ETF

FTMANYSEARCAFranklin TempletonFixed Income

$8.61Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
$286.82M
Expense ratio
0.35%
Dividend yield
3.35%
Holdings
191
52-week range
$8.12$9.21
Volume (live)
-
Avg. volume (3M)
492.44K

FTMA ETF Historical Prices: Franklin Massachusetts 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.

FTMA Historical Price Chart: Trends & Patterns

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

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FTMA 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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FTMA 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, 20268.648.648.628.618.61612.45K
Oct 14, 20268.568.568.518.548.542.76M
Oct 13, 20268.558.578.528.568.56670.97K
Oct 12, 20268.528.528.478.508.50368.50K
Oct 9, 20268.538.538.488.488.48346.20K
Oct 8, 20268.428.478.428.458.45381.58K
Oct 7, 20268.408.478.408.448.44451.82K
Oct 6, 20268.578.578.498.518.51443.96K
Oct 5, 20268.538.558.498.548.54617.25K
Oct 2, 20268.568.608.518.518.51695.74K
Oct 1, 20268.538.578.528.528.52863.76K
Sep 30, 20268.508.568.508.528.49276.07K
Sep 29, 20268.468.488.428.448.41981.54K
Sep 28, 20268.528.528.458.488.451.34M
Sep 25, 20268.608.608.558.568.53225.77K
Sep 24, 20268.628.628.568.608.57121.05K
Sep 23, 20268.678.698.608.628.59131.72K
Sep 22, 20268.698.718.688.688.65277.11K
Sep 21, 20268.718.718.698.708.67197.05K
Sep 18, 20268.708.718.688.718.68183.40K
Sep 17, 20268.728.728.698.708.67239.00K
Sep 16, 20268.698.728.678.698.66492.56K
Sep 15, 20268.708.718.678.698.66276.42K
Sep 14, 20268.708.728.708.718.68361.40K
Sep 11, 20268.708.738.698.738.70691.19K
Sep 10, 20268.738.738.668.688.65187.19K
Sep 9, 20268.808.808.738.768.74220.36K
Sep 8, 20268.808.818.788.818.7877.37K
Sep 4, 20268.828.828.788.798.76151.40K
Sep 3, 20268.868.868.778.778.74129.40K
Sep 2, 20268.858.858.808.808.7748.48K
Sep 1, 20268.858.858.808.818.78298.55K
Aug 31, 20268.888.898.878.898.84104.18K
Aug 28, 20268.888.918.888.888.83121.16K
Aug 27, 20268.938.938.888.908.85368.67K
Aug 26, 20268.908.948.908.908.8562.83K
Aug 25, 20268.958.958.918.938.88349.44K
Aug 24, 20268.918.928.908.918.86418.68K
Aug 21, 20268.948.948.908.918.8694.71K
Aug 20, 20268.928.938.918.928.87138.64K
Aug 19, 20268.908.948.908.938.88186.28K
Aug 18, 20268.938.938.898.908.85167.47K
Aug 17, 20268.928.978.928.928.87114.57K
Aug 14, 20268.988.998.958.968.9153.50K
Aug 13, 20269.009.008.978.998.9482.28K
Aug 12, 20268.978.998.968.978.9278.99K
Aug 11, 20268.988.988.958.978.9287.73K
Aug 10, 20268.978.988.958.958.9057.17K
Aug 7, 20268.958.998.938.968.90109.15K
Aug 6, 20268.958.968.918.948.89244.19K
Show:
of 127

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 Massachusetts Municipal Income ETF Historical Prices

What is OHLC data for FTMA?

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

The adjusted close price for FTMA 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 FTMA price history go?

FTMA historical price data is available from the ETF's inception on Nov 9, 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 FTMA data?

FTMA 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 FTMA?

Trading volume for FTMA 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.