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ProShares Ultra Health Care

RXL
$
Today’s Change
()

Snapshot
*

Inception Date
Jan 30, 2007
Expense Ratio
0.95%
Type
US Equities
Fund Owner
ProShares
Volume (1m avg. daily)
$235,996
AUM
$81,237,696
Associated Index
S&P Health Care Select Sector Index
Inverse/Leveraged
Leveraged (2x)
Passive/Active
Passive
Fractionable on Composer
Yes
Prospectus

Top 10 Holdings

Net Other Assets (Liabilities)
23.53%
UNH
Unitedhealth Group Inc
7.38%
LLY
Lilly(Eli) & Co
6.92%
JNJ
Johnson & Johnson
6.09%
MRK
Merck & Co Inc
4.25%
ABBV
Abbvie Inc
4.25%
TMO
Thermo Fisher Scientific Inc.
3.06%
PFE
Pfizer Inc.
2.91%
ABT
Abbott Laboratories
2.68%
DHR
Danaher Corp.
2.57%

What is RXL?

ProShares Ultra Health Care seeks daily investment results, before fees and expenses, that correspond to two times (2x) the daily performance of the S&P Health Care Select Sector Index.

1M
3M
6M
YTD
1Y
3Y
Max

RXL
Performance Measures**

for the time period Feb 1, 2007 to Dec 16, 2025

Returns

1M Trailing Return: 2.5%

The percent change in the value over the most recent 1-month period.

3M Trailing Return: 25.2%

The percent change in the value over the most recent 3-month period.

Measures of Risk or Volatility

Max Drawdown: -67.7%

The greatest percent loss from peak to trough in value over the time period.

Standard Deviation: 34.5%

The typical amount that daily returns vary from the mean of the returns over the time period, standardized to a period of a year.

Measures of Risk-Adjusted Performance

Sharpe Ratio: 0.57

The annualized arithmetic mean of the daily returns divided by the annualized standard deviation of the daily returns for the selected time period.

Calmar Ratio: 0.22

The annualized return divided by the max drawdown for the selected time period.

ETFs related toRXL

ETFs correlated to RXL include CURE, XLV, IYH

RXL
ProShares Trust - ProShares Ultra Health Care 2X Shares
CURE
Direxion Shares ETF Trust - Direxion Daily Healthcare Bull 3X Shares
XLV
SSgA Active Trust - Health Care Select Sector SPDR
IYH
BlackRock Institutional Trust Company N.A. - iShares U.S. Healthcare ETF
VHT
Vanguard Group, Inc. - Vanguard Health Care ETF
FHLC
Fidelity Covington Trust - Fidelity MSCI Health Care Index ETF
IXJ
BlackRock Institutional Trust Company N.A. - iShares Global Healthcare ETF
RSPH
Invesco Capital Management LLC - Invesco S&P 500 Equal Weight Health Care ETF
PINK
Simplify Exchange Traded Funds - Simplify Health Care ETF
PPH
VanEck ETF Trust - VanEck Pharmaceutical ETF
FTCS
First Trust Exchange-Traded Fund III - First Trust Capital Strength ETF

What is ETF correlation?

Correlation is a measure of the strength of the relationship between two ETFs. It quantifies the degree to which prices of the two ETFs typically move together.

Here, correlation is measured over the past year with the Pearson correlation coefficient (Pearon’s r), which ranges from -1 to 1.

Using ETF correlations in portfolio and strategy construction

ETF correlations can help you create investing strategies and portfolios. Use them to:

  • Build a diversified portfolio from uncorrelated or inversely correlated ETFs with the aim of minimizing portfolio risk.
  • Compare correlated or related ETFs to find one with a lower expense ratio or higher trading volume.
  • Create an investing strategy that hedges an ETF with an uncorrelated or inversely correlated ETF.

Trading Strategies
Related toRXL

Momentum Mean Reversion LETFs with Black Swan Catcher | 523.7% RR | 28.8% DD (Jan 2013 - Current)| DJKeyhole

Category

Leveraged ETFs, tactical rotation, trend filter, mean reversion, volatility hedge (UVXY), inverse hedges, risk-on/risk-off

OOS Cumulative Return

225.37%

V1.2 | Momentum Mean Reversion LETFs with Black Swan Catcher | DJKeyhole | Use V1.1 A Better LETF Basket

Category

Leveraged ETFs, tactical allocation, mean reversion, momentum, inverse ETFs, volatility hedge, sector rotation, macro regime

OOS Cumulative Return

173.78%

Create your own algorithmic trading strategy with RXL using Composer

FAQ

RXL is a US Equities ETF. ProShares Ultra Health Care seeks daily investment results, before fees and expenses, that correspond to two times (2x) the daily performance of the S&P Health Care Select Sector Index.

RXL tracks the S&P Health Care Select Sector Index.

No, RXL is not actively managed. It is passively managed. In an actively managed fund, the fund manager makes decisions about how funds are invested. A passively managed fund typically tries to track or follow a market index.

Yes, RXL is passively managed. A passively managed fund typically tries to track or follow a market index. In an actively managed fund, the fund manager makes decisions about how funds are invested.

The 1-month return on RXL is -0.0255%. This is the percent change in the value of RXL over the most recent 1-month period. The 3-month return on RXL is -0.019%. This is the percent change in the value of RXL over the most recent 3-month period.

The standard deviation of RXL for the past year is 0.2738%. Standard deviation is the typical amount that the daily returns vary from the mean of the returns over the time period, standardized to a period of a year.

ETFs similar to RXL include RXD, SSO, and TNA.

ETFs correlated to RXL include CURE, XLV, and IYH.

ETFs that are inversely correlated to RXL include DXD, DOG, and SDOW.

Yes, RXL is a Leveraged (2x) ETF: This means that RXL will try to match the performance of S&P Health Care Select Sector Index, but with 2x the returns.

No, RXL is not an inverse ETF.

Disclaimers

*

We show information directly obtained from our data provider, Xignite. Data shown here is provided by Xignite, an unaffiliated third party. Composer believes the information shown here is reliable, but has not been verified and there is no guarantee that the information is accurate.

**

We show information based on calculations performed by Composer using data from our provider. Information provided here is based on calculations performed by Composer using data sourced from Xignite, an unaffiliated third party. Composer believes this information is reliable, but has not verified the data and there is no guarantee that the calculations are accurate.