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GraniteShares 2x Long P Daily ETF

PULNASDAQGraniteSharesEquity

$53.29Today:- (-)

As of Oct 16, 2026 close

Assets (AUM)
$1.14M
Expense ratio
1.50%
Dividend yield
-
Holdings
6
52-week range
$18.75$87.33
Volume (live)
-
Avg. volume (3M)
6.02K

PUL ETF Historical Prices: GraniteShares 2x Long P 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.

PUL Historical Price Chart: Trends & Patterns

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

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PUL 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 · Daily73 records
Showing 1-50 of 73
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PUL 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, 202658.2358.2353.0453.2953.293.60K
Oct 15, 202660.2462.5858.3361.7561.7516.10K
Oct 14, 202679.3880.6369.8569.8569.857.40K
Oct 13, 202681.0287.3380.6687.3387.336.40K
Oct 12, 202684.0485.7481.5685.4785.4716.00K
Oct 9, 202684.0084.9980.4784.9984.9911.40K
Oct 8, 202683.5187.2880.6680.9780.978.30K
Oct 7, 202679.0083.0879.0083.0883.089.90K
Oct 6, 202677.4777.8776.5377.0577.055.60K
Oct 5, 202671.2673.7270.3973.7273.7213.40K
Oct 2, 202668.7770.3868.1070.3770.376.00K
Oct 1, 202662.5865.2062.3064.5364.5313.10K
Sep 30, 202662.4562.6561.2561.5461.545.80K
Sep 29, 202660.3260.7460.3260.4260.421.60K
Sep 28, 202658.6061.1757.3760.2460.243.50K
Sep 25, 202655.1357.6254.9057.0557.053.30K
Sep 24, 202648.6864.4348.6853.3853.3826.20K
Sep 23, 202643.6643.6643.5243.5243.521.00K
Sep 22, 202643.7744.6142.1544.6144.611.70K
Sep 21, 202646.2946.2946.2946.2946.29600
Sep 18, 202640.7440.7438.1139.6439.645.20K
Sep 17, 202638.7839.8338.2639.8339.832.30K
Sep 16, 202635.1235.1235.1235.1235.12300
Sep 15, 202634.8436.6934.4934.4934.491.25K
Sep 14, 202632.5033.3132.3432.4232.422.30K
Sep 11, 202635.5935.5935.5935.5935.59225
Sep 10, 202633.2333.2332.8332.8332.83733
Sep 9, 202637.8637.8634.8534.8534.85650
Sep 8, 202638.4438.4536.5038.0538.054.72K
Sep 4, 202636.8136.8136.8136.8136.811.99K
Sep 3, 202633.0635.8632.9335.8635.862.77K
Sep 2, 202632.2032.2031.9132.0332.031.15K
Sep 1, 202631.9632.9931.9632.9932.99426
Aug 31, 202632.4032.4032.3232.3232.32912
Aug 28, 202632.9832.9832.7732.7732.77326
Aug 27, 202641.0841.0833.7837.0337.0311.50K
Aug 26, 202644.8545.0044.6744.7944.79795
Aug 25, 202639.7240.2139.5440.2140.2112.67K
Aug 24, 202638.8738.8738.4738.4738.47324
Aug 21, 202645.1445.2745.1445.2745.27454
Aug 20, 202647.7747.7746.6846.6846.68528
Aug 19, 202647.0849.0947.0848.3648.361.47K
Aug 18, 202652.5953.3552.5953.3553.35982
Aug 17, 202652.3153.2552.3152.9652.961.07K
Aug 14, 202653.8154.2153.0054.0454.045.06K
Aug 13, 202651.7753.9151.7753.5553.551.84K
Aug 12, 202648.4048.4048.1548.3648.361.49K
Aug 11, 202643.8846.3741.8846.3746.372.53K
Aug 10, 202636.1638.3536.1637.7437.753.27K
Aug 7, 202631.9531.9531.9531.9531.95273
Show:
of 73

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 Long P Daily ETF Historical Prices

What is OHLC data for PUL?

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

The adjusted close price for PUL 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 PUL price history go?

PUL historical price data is available from the ETF's inception on Jul 6, 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 PUL data?

PUL 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 PUL?

Trading volume for PUL 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.