Skip to Content

Convergence Long/Short Equity ETF

CLSE
$
Today’s Change
()

Snapshot
*

Inception Date
Dec 29, 2009
Expense Ratio
1.25%
Type
US Equities
Fund Owner
Convergence Investment Partners
Volume (1m avg. daily)
$50,547
AUM
$25,932,806
Associated Index
None
Inverse/Leveraged
No
Passive/Active
Active
Fractionable on Composer
No
Prospectus

Top 10 Holdings

Cash & Other
30.46%
GOOG
Alphabet Inc - Ordinary Shares - Class C
2.88%
AMZN
Amazon.com Inc.
2.87%
GOOGL
Alphabet Inc - Ordinary Shares - Class A
2.87%
MSFT
Microsoft Corporation
2.82%
NVDA
NVIDIA Corp
2.79%
META
Meta Platforms Inc - Ordinary Shares - Class A
2.51%
WMT
Walmart Inc
2.12%
SPLK
Splunk Inc
1.86%
AVGO
Broadcom Inc
1.79%

What is CLSE?

The Convergence Long/Short Equity ETF seeks to provide a greater return potential than traditional approaches while reducing risk. The fund endeavors to provide a more material and consistent alpha through its proprietary fundamental ranking process from both its long and short holdings over a market cycle. The objective of the Convergence Long/Short Equity ETF is to pursue long term capital growth while minimizing volatility.

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

CLSE
Performance Measures**

for the time period Feb 22, 2022 to Dec 4, 2025

Returns

1M Trailing Return: 1.6%

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

3M Trailing Return: 7.6%

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

Measures of Risk or Volatility

Max Drawdown: -16.4%

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

Standard Deviation: 13.8%

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: 1.23

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: 1.05

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

ETFs related toCLSE

ETFs correlated to CLSE include GAUG, LGRO, XAUG

CLSE
Trust For Professional Managers - Convergence Long/Short Equity ETF
GAUG
First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Moderate Buffer ETF - August
LGRO
Advisors Series Trust - Level Four Large Cap Growth Active ETF
XAUG
First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Enhance & Moderate Buffer ETF - August
AUGW
AIM ETF Products Trust - AllianzIM U.S. Large Cap Buffer20 Aug ETF
CVRD
Madison ETFs Trust - Madison Covered Call ETF
GJUL
First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Moderate Buffer ETF - July
GJUN
First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Moderate Buffer ETF - June
MTUM
BlackRock Institutional Trust Company N.A. - iShares MSCI USA Momentum Factor ETF
TCAF
T. Rowe Price ExchangeTraded Funds Inc - T. Rowe Price Capital Appreciation Equity 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 toCLSE

FTL's 🌟 Starburst GEN-II v1.c w/ BWC Ultimate FR [Removed BB] Added Walter's Champagne and Cocaine Strats and NOVA | (multiple TQQQ, one crypto) KMLM Switcher MonkeyBusiness WM74 + Wash

Category

Tactical multi-asset, leveraged ETFs, volatility hedging, managed futures, mean reversion, momentum, regime switching, daily rebalancing

OOS Cumulative Return

208.65%

Wash Sale 3 Sorted by 5 day Max DD WM 74

Category

Tactical allocation, trend timing, RSI/mean reversion, leveraged ETFs, managed futures, volatility filter, tax-loss rotation

OOS Cumulative Return

142.84%

Create your own algorithmic trading strategy with CLSE using Composer

FAQ

CLSE is a US Equities ETF. The Convergence Long/Short Equity ETF seeks to provide a greater return potential than traditional approaches while reducing risk. The fund endeavors to provide a more material and consistent alpha through its proprietary fundamental ranking process from both its long and short holdings over a market cycle. The objective of the Convergence Long/Short Equity ETF is to pursue long term capital growth while minimizing volatility.

Yes, CLSE is actively 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.

No, CLSE is not passively managed. It is actively 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 CLSE is 0.0231%. This is the percent change in the value of CLSE over the most recent 1-month period. The 3-month return on CLSE is 0.0528%. This is the percent change in the value of CLSE over the most recent 3-month period.

The standard deviation of CLSE for the past year is 0.1096%. 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 CLSE include PKW, VIXY, and XYLD.

ETFs correlated to CLSE include GAUG, LGRO, and XAUG.

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

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.