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CYBER HORNET S&P 500 and Solana 75/25 Strategy ETF

SSSNASDAQCyber HornetAsset Allocation

$22.57Today:- (-)

As of Oct 23, 2026 close

Assets (AUM)
$589.86K
Expense ratio
0.85%
Dividend yield
0.08%
Holdings
464
52-week range
$17.90$23.93
Volume (live)
-
Avg. volume (3M)
86

SSS ETF Historical Prices: CYBER HORNET S&P 500 and Solana 75/25 Strategy ETF

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

SSS Historical Price Chart: Trends & Patterns

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

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SSS 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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SSS 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, 202622.7122.7122.5722.5722.57171
Oct 22, 202622.7122.7122.7122.7122.7110
Oct 21, 202623.1823.1823.1823.1823.187
Oct 20, 202622.9522.9522.9522.9522.956
Oct 19, 202622.8122.8122.8122.8122.8110
Oct 16, 202623.0023.0022.5922.7322.731.06K
Oct 15, 202623.0523.0523.0523.0523.0514
Oct 14, 202622.8722.8722.8722.8722.879
Oct 13, 202623.2523.2523.2523.2523.2513
Oct 12, 202623.2823.2823.2823.2823.2820
Oct 9, 202623.3223.3223.3223.3223.327
Oct 8, 202623.2423.2423.2423.2423.2434
Oct 7, 202623.6423.6423.6423.6423.6419
Oct 6, 202623.9323.9323.9323.9323.9315
Oct 5, 202623.7123.7123.7123.7123.7120
Oct 2, 202623.5723.5723.5723.5723.5728
Oct 1, 202623.4623.4623.4623.4623.4616
Sep 30, 202623.3923.3923.3923.3923.3915
Sep 29, 202623.4923.4923.4923.4923.4923
Sep 28, 202623.4823.4823.4823.4823.4849
Sep 25, 202623.8223.8223.8223.8223.8215
Sep 24, 202623.4523.4523.4523.4523.4540
Sep 23, 202623.2123.2123.2123.2123.2198
Sep 22, 202623.6323.6323.6323.6323.6328
Sep 21, 202623.4723.6323.4723.6323.63229
Sep 18, 202623.1523.1523.1523.1523.1532
Sep 17, 202622.3122.3122.3122.3122.3117
Sep 16, 202621.9421.9421.9421.9421.9415
Sep 15, 202622.0722.0722.0722.0722.0723
Sep 14, 202622.3522.4622.3522.4622.46532
Sep 11, 202622.5622.6422.4822.4822.481.13K
Sep 10, 202622.2022.2022.0822.1922.192.14K
Sep 9, 202622.4422.4422.4422.4422.4414
Sep 8, 202622.5422.6522.5422.5622.561.11K
Sep 4, 202622.5722.5722.5722.5722.5728
Sep 3, 202622.8222.8222.8222.8222.8239
Sep 2, 202622.3022.3022.3022.3022.30166
Sep 1, 202622.2622.2622.2622.2622.2699
Aug 31, 202622.4522.6122.4522.6122.613.38K
Aug 28, 202622.8822.8822.6022.6522.653.31K
Aug 27, 202622.7423.0322.7423.0323.03327
Aug 26, 202622.1622.1722.0522.1722.172.89K
Aug 25, 202622.1322.2622.1322.2022.202.33K
Aug 24, 202622.0722.0722.0722.0722.071.16K
Aug 21, 202621.7821.8021.7221.7221.721.27K
Aug 20, 202621.3721.3921.3721.3921.38132
Aug 19, 202621.1321.1921.1321.1921.19988
Aug 18, 202620.7920.7920.7720.7720.771.11K
Aug 17, 202620.9420.9420.7920.7920.79318
Aug 14, 202620.8020.8020.7920.7920.79115
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 CYBER HORNET S&P 500 and Solana 75/25 Strategy ETF Historical Prices

What is OHLC data for SSS?

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

The adjusted close price for SSS 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 SSS price history go?

SSS historical price data is available from the ETF's inception on Jan 28, 2026. 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 SSS data?

SSS 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 SSS?

Trading volume for SSS 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.