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Themes Cybersecurity ETF

SPAMNASDAQThemesEquity

$44.15Today:- (-)1Y +33.10%

As of Oct 16, 2026 close

Assets (AUM)
$6.90M
Expense ratio
0.35%
Dividend yield
0.33%
Holdings
46
52-week range
$27.43$49.93
Volume (live)
-
Avg. volume (3M)
2.55K

SPAM ETF Historical Prices: Themes Cybersecurity ETF

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

SPAM Historical Price Chart: Trends & Patterns

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

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SPAM 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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SPAM 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, 202645.6345.6344.0044.1544.154.16K
Oct 15, 202644.9946.5244.7746.5246.522.88K
Oct 14, 202646.7146.7146.0946.0946.09969
Oct 13, 202648.4148.4248.1648.1648.164.88K
Oct 12, 202648.9248.9248.5148.5148.511.17K
Oct 9, 202648.8949.9348.8949.9349.931.48K
Oct 8, 202647.8548.3847.8548.0748.077.29K
Oct 7, 202648.2048.3148.1348.1348.133.56K
Oct 6, 202648.5549.4148.5549.1849.187.08K
Oct 5, 202648.0148.2048.0148.2048.20599
Oct 2, 202648.1448.1447.7747.7747.771.51K
Oct 1, 202647.0947.5547.0947.4747.472.03K
Sep 30, 202647.1247.1247.1247.1247.12262
Sep 29, 202646.2446.5346.2446.5346.53743
Sep 28, 202645.9746.4745.5646.3946.393.04K
Sep 25, 202646.5346.5946.1246.1246.122.33K
Sep 24, 202648.0248.1547.6947.6947.691.07K
Sep 23, 202647.1648.0247.1648.0248.021.57K
Sep 22, 202646.7347.4246.7347.3147.321.40K
Sep 21, 202646.6947.1746.6947.1747.17538
Sep 18, 202645.2145.5745.2145.4745.471.02K
Sep 17, 202646.1146.1146.1146.1146.11145
Sep 16, 202645.6645.6645.6545.6545.65443
Sep 15, 202645.1446.0045.1446.0046.00584
Sep 14, 202644.6845.4744.6845.4745.471.34K
Sep 11, 202642.7842.7842.6342.7342.7323.07K
Sep 10, 202643.5343.7443.0543.0543.051.98K
Sep 9, 202643.4443.4743.4443.4743.47453
Sep 8, 202643.0743.4943.0643.4943.49971
Sep 4, 202643.5443.5443.5443.5443.54161
Sep 3, 202642.7743.4242.7743.4243.421.81K
Sep 2, 202642.5142.5142.5142.5142.51298
Sep 1, 202643.5643.5643.3443.3443.342.03K
Aug 31, 202644.5945.1944.5945.1945.1922.31K
Aug 28, 202644.6744.7644.6344.6844.681.74K
Aug 27, 202644.6545.8844.6345.8845.883.56K
Aug 26, 202642.0642.8642.0642.8242.822.27K
Aug 25, 202642.6142.6141.8942.2842.284.14K
Aug 24, 202642.7442.8442.7442.8442.84582
Aug 21, 202643.3143.7043.3143.7043.701.95K
Aug 20, 202643.6643.6643.2543.2543.251.59K
Aug 19, 202644.9944.9943.8644.3844.381.70K
Aug 18, 202645.2845.4045.2745.4045.406.10K
Aug 17, 202646.8446.8445.8745.8945.892.64K
Aug 14, 202646.9847.0246.9846.9846.981.50K
Aug 13, 202647.0947.7146.8747.7147.712.29K
Aug 12, 202646.4246.7246.4246.7246.721.89K
Aug 11, 202645.7345.8845.6245.8645.863.12K
Aug 10, 202644.5045.8644.5045.6245.622.13K
Aug 7, 202644.5644.5644.0144.4844.481.28K
Show:
of 127

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 Themes Cybersecurity ETF Historical Prices

What is OHLC data for SPAM?

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

The adjusted close price for SPAM 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 SPAM price history go?

SPAM historical price data is available from the ETF's inception on Dec 7, 2023. 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 SPAM data?

SPAM 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 SPAM?

Trading volume for SPAM 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.