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Global X SuperIncome Preferred ETF

SPFFNYSEARCAGlobal XFixed Income

$8.83Today:- (-)1Y −4.12%

As of Oct 23, 2026 close

Assets (AUM)
$136.88M
Expense ratio
0.48%
Dividend yield
7.18%
Holdings
52
52-week range
$8.78$9.77
Volume (live)
-
Avg. volume (3M)
37.21K

SPFF ETF Historical Prices: Global X SuperIncome Preferred 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.

SPFF Historical Price Chart: Trends & Patterns

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

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SPFF 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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SPFF 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, 20268.838.838.818.838.8341.38K
Oct 22, 20268.908.908.788.858.8537.83K
Oct 21, 20268.838.898.838.848.8452.38K
Oct 20, 20268.888.898.798.868.8638.61K
Oct 19, 20268.828.858.798.798.7945.14K
Oct 16, 20268.918.938.818.828.8230.54K
Oct 15, 20268.798.938.788.918.9158.26K
Oct 14, 20268.938.938.828.838.8332.91K
Oct 13, 20268.959.048.949.049.0448.83K
Oct 12, 20268.969.048.968.978.9729.25K
Oct 9, 20268.939.088.939.059.0542.32K
Oct 8, 20269.049.048.979.039.0347.34K
Oct 7, 20269.079.079.039.059.0529.34K
Oct 6, 20269.169.189.119.129.1233.68K
Oct 5, 20269.099.139.049.059.0553.79K
Oct 2, 20269.139.159.099.109.1027.16K
Oct 1, 20269.119.128.969.129.1241.73K
Sep 30, 20269.259.259.079.079.0228.68K
Sep 29, 20269.199.199.089.109.0539.52K
Sep 28, 20269.119.229.119.229.1723.87K
Sep 25, 20269.239.279.189.189.1315.26K
Sep 24, 20269.229.229.159.219.1658.59K
Sep 23, 20269.179.269.179.219.1619.68K
Sep 22, 20269.289.389.269.269.2129.25K
Sep 21, 20269.279.329.279.319.2628.28K
Sep 18, 20269.329.329.269.289.2332.41K
Sep 17, 20269.309.339.289.299.2437.29K
Sep 16, 20269.199.249.179.179.1253.03K
Sep 15, 20269.159.209.129.129.0726.07K
Sep 14, 20269.239.259.179.219.1634.01K
Sep 11, 20269.279.339.279.319.2627.19K
Sep 10, 20269.339.339.249.249.1941.04K
Sep 9, 20269.469.469.339.409.3534.31K
Sep 8, 20269.379.429.359.429.3732.35K
Sep 4, 20269.459.459.369.389.3329.44K
Sep 3, 20269.349.429.299.429.3766.52K
Sep 2, 20269.259.339.259.339.2835.38K
Sep 1, 20269.359.359.269.269.2124.97K
Aug 31, 20269.499.499.379.419.30109.13K
Aug 28, 20269.589.589.479.489.3830.99K
Aug 27, 20269.639.639.549.559.4581.03K
Aug 26, 20269.529.589.529.569.4560.35K
Aug 25, 20269.499.549.499.519.4050.34K
Aug 24, 20269.449.509.449.499.3832.59K
Aug 21, 20269.499.529.469.509.4033.61K
Aug 20, 20269.449.499.449.479.3621.36K
Aug 19, 20269.539.539.449.499.3842.37K
Aug 18, 20269.479.519.459.489.3739.23K
Aug 17, 20269.569.579.519.529.4123.43K
Aug 14, 20269.609.609.579.599.4815.63K
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 Global X SuperIncome Preferred ETF Historical Prices

What is OHLC data for SPFF?

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

The adjusted close price for SPFF 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 SPFF price history go?

SPFF historical price data is available from the ETF's inception on Jul 16, 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 SPFF data?

SPFF 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 SPFF?

Trading volume for SPFF 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.