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NasdaqGM - Nasdaq Real Time Price USD

Tuttle Capital Daily 2X Inverse Regional Banks ETF (SKRE)

14.46
-0.32
(-2.15%)
At close: April 29 at 4:00:00 PM EDT
14.80
+0.34
+(2.33%)
After hours: April 29 at 5:54:48 PM EDT

ETF Summary

The fund, under normal circumstances, invests in swap agreements that provide 200% inverse (opposite) daily exposure to TSLA equal to at least 80% of the fund’s net assets (plus any borrowings for investment purposes ). The fund advisor seeks daily leveraged inverse investment results and the fund is very different from most other exchange-traded funds and presents different and greater risks. The fund is non-diversified.

ETF Overview

Category Trading--Inverse Equity
Fund Family Tuttle Capital Management, LLC
Net Assets 3.9M
YTD Daily Total Return 11.13%
Yield 2.91%
Legal Type Exchange Traded Fund

ETF Operations

Attributes SKRE Category Average
Annual Report Expense Ratio (net) 0.75% 0.00%
Holdings Turnover 0.00% --
Total Net Assets 0.00 0.00

Morningstar Style Box

Yahoo partners with Morningstar a leading market research and investment data group to help investors rate and compare funds on Yahoo Finance. The Morningstar Category is shown next to the Morningstar Style Box which identifies a fund's investment focus, based on the underlying securities in the fund. Yahoo partners with Morningstar a leading market research and investment data group to help investors rate and compare funds on Yahoo Finance. The Morningstar Category is shown next to the Morningstar Style Box which identifies a fund's investment focus, based on the underlying securities in the fund.

Morningstar Category

While the investment objective stated in a fund's prospectus may or may not reflect how the fund actually invests, the Morningstar category is assigned based on the underlying securities in each portfolio. Morningstar categories help investors and investment professionals make meaningful comparisons between funds. The categories make it easier to build well-diversified portfolios, assess potential risk, and identify top-performing funds. We place funds in a given category based on their portfolio statistics and compositions over the past three years. If the fund is new and has no portfolio history, we estimate where it will fall before giving it a more permanent category assignment. When necessary, we may change a category assignment based on recent changes to the portfolio.

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