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GraniteShares 2x Short SK Hynix Daily ETF

SKDDNASDAQGraniteSharesEquity

$10.76Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
$24.20M
Expense ratio
2.20%
Dividend yield
-
Holdings
6
52-week range
$6.22$21.89
Volume (live)
-
Avg. volume (3M)
5.25M

SKDD ETF Historical Prices: GraniteShares 2x Short SK Hynix Daily ETF

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

SKDD Historical Price Chart: Trends & Patterns

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

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SKDD 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 · Daily68 records
Showing 1-50 of 68
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SKDD 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, 202611.4712.2111.4312.2012.203.59M
Oct 15, 202611.9211.9410.7310.7610.767.70M
Oct 14, 202610.2010.609.9810.5710.574.47M
Oct 13, 20269.989.989.399.449.444.74M
Oct 12, 20268.668.948.658.878.873.63M
Oct 9, 20267.818.227.808.198.191.92M
Oct 8, 20267.568.337.508.038.035.16M
Oct 7, 20267.417.537.197.407.404.40M
Oct 6, 20266.497.176.497.077.073.59M
Oct 5, 20266.366.556.226.296.292.85M
Oct 2, 20266.336.526.266.276.274.75M
Oct 1, 20266.997.206.366.386.384.41M
Sep 30, 20266.957.106.847.097.092.39M
Sep 29, 20267.057.206.776.916.913.00M
Sep 28, 20267.037.476.967.287.283.58M
Sep 25, 20266.796.906.536.636.633.55M
Sep 24, 20267.077.136.837.017.013.16M
Sep 23, 20266.667.006.556.796.794.37M
Sep 22, 20267.017.066.336.406.405.90M
Sep 21, 20266.927.096.786.876.873.08M
Sep 18, 20267.187.356.626.956.954.90M
Sep 17, 20267.447.497.137.347.344.07M
Sep 16, 20267.578.287.558.088.086.94M
Sep 15, 20267.728.337.518.098.094.32M
Sep 14, 20268.078.097.718.028.028.67M
Sep 11, 20266.757.196.756.966.968.60M
Sep 10, 20267.047.166.767.097.0912.43M
Sep 9, 20267.287.326.366.426.4212.65M
Sep 8, 20267.587.647.107.527.529.22M
Sep 4, 20269.789.788.258.308.306.37M
Sep 3, 202610.2510.599.809.919.912.83M
Sep 2, 202610.4310.559.699.759.752.84M
Sep 1, 202610.2110.569.8910.2810.283.32M
Aug 31, 202610.3210.359.789.849.842.92M
Aug 28, 202610.5210.689.9810.2910.293.42M
Aug 27, 20269.9210.609.7810.2310.233.78M
Aug 26, 202610.6610.7710.3010.6810.683.07M
Aug 25, 202610.4710.9810.2810.5110.512.45M
Aug 24, 202610.8811.5910.8411.1011.105.19M
Aug 21, 20269.6510.229.6310.1110.115.11M
Aug 20, 202610.3210.589.7010.1610.167.35M
Aug 19, 202610.1911.2210.0611.1311.1314.16M
Aug 18, 202610.5511.3410.3211.2211.228.49M
Aug 17, 20269.379.708.639.489.489.23M
Aug 14, 20269.7210.409.4610.0810.086.28M
Aug 13, 202611.9712.079.7610.1510.1513.69M
Aug 12, 202612.6913.4011.8011.9311.935.04M
Aug 11, 202615.1415.5714.5114.5514.551.59M
Aug 10, 202616.1416.3015.2416.0416.041.88M
Aug 7, 202614.3916.3114.3915.4515.454.18M
Show:
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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 GraniteShares 2x Short SK Hynix Daily ETF Historical Prices

What is OHLC data for SKDD?

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

The adjusted close price for SKDD 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 SKDD price history go?

SKDD historical price data is available from the ETF's inception on Jul 13, 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 SKDD data?

SKDD 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 SKDD?

Trading volume for SKDD 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.