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Leverage Shares 2X Long PYPL Daily ETF

PYPGNASDAQLeverage SharesEquity

$7.88Today:- (-)1Y −50.11%

As of Oct 28, 2026 close

Assets (AUM)
$14.53M
Expense ratio
0.77%
Dividend yield
-
Holdings
7
52-week range
$4.41$20.91
Volume (live)
-
Avg. volume (3M)
206.82K

PYPG ETF Historical Prices: Leverage Shares 2X Long PYPL 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.

PYPG Historical Price Chart: Trends & Patterns

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

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PYPG 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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PYPG 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 28, 20267.727.907.597.887.8840.43K
Oct 27, 20267.527.857.317.747.74163.39K
Oct 26, 20267.807.807.317.437.4384.89K
Oct 23, 20268.018.167.998.028.0231.72K
Oct 22, 20268.108.198.048.188.1845.55K
Oct 21, 20268.128.298.098.118.1127.64K
Oct 20, 20267.988.187.918.068.0635.80K
Oct 19, 20267.447.927.447.897.8958.29K
Oct 16, 20268.228.267.877.947.94168.93K
Oct 15, 20267.738.107.688.078.07142.71K
Oct 14, 20267.757.827.627.807.80167.40K
Oct 13, 20267.827.887.747.837.8395.21K
Oct 12, 20267.677.837.627.797.7977.45K
Oct 9, 20267.537.697.457.657.6560.70K
Oct 8, 20267.417.557.267.537.5399.88K
Oct 7, 20267.327.627.327.527.52137.21K
Oct 6, 20267.297.497.297.417.4154.11K
Oct 5, 20266.887.386.837.367.36198.67K
Oct 2, 20266.987.106.916.956.95137.36K
Oct 1, 20267.077.166.947.037.03108.26K
Sep 30, 20267.247.246.846.906.90179.13K
Sep 29, 20267.327.347.117.277.2791.67K
Sep 28, 20267.367.457.007.377.37294.35K
Sep 25, 20266.987.716.867.597.59696.64K
Sep 24, 20266.946.966.756.956.95299.78K
Sep 23, 20267.037.076.746.926.92762.51K
Sep 22, 20267.067.596.847.037.031.45M
Sep 21, 20267.047.046.866.976.97195.76K
Sep 18, 20266.997.026.896.906.90178.42K
Sep 17, 20267.047.177.017.057.05117.43K
Sep 16, 20267.227.296.917.007.00144.64K
Sep 15, 20267.407.407.197.307.3087.41K
Sep 14, 20267.427.507.247.377.37161.76K
Sep 11, 20267.217.467.167.287.28273.60K
Sep 10, 20266.647.196.637.177.18441.42K
Sep 9, 20267.147.166.876.886.88384.70K
Sep 8, 20267.527.527.127.157.15230.90K
Sep 4, 20267.947.977.537.647.65375.13K
Sep 3, 20267.568.207.398.158.15811.66K
Sep 2, 20267.007.706.987.577.57942.11K
Sep 1, 20267.007.116.936.956.95253.80K
Aug 31, 20267.427.426.857.067.06356.26K
Aug 28, 20267.317.687.037.307.301.49M
Aug 27, 202610.0310.099.809.839.83130.48K
Aug 26, 20269.9910.029.799.969.96174.97K
Aug 25, 20269.8010.139.7410.0810.0891.83K
Aug 24, 20269.8110.079.819.929.9273.32K
Aug 21, 202610.1410.249.859.889.88506.09K
Aug 20, 20269.7610.289.7110.1410.14318.51K
Aug 19, 20269.529.989.529.809.80168.83K
Show:
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Source: Daily exchange trading data. Data as of Oct 28, 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 Leverage Shares 2X Long PYPL Daily ETF Historical Prices

What is OHLC data for PYPG?

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

The adjusted close price for PYPG 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 PYPG price history go?

PYPG historical price data is available from the ETF's inception on Apr 3, 2025. 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 PYPG data?

PYPG 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 PYPG?

Trading volume for PYPG 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.