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NYSEArca - Delayed Quote USD

MicroSectors FANG+ Index -3X Inverse Leveraged ETN (FNGD)

30.99 +2.48 (+8.70%)
At close: October 30 at 4:00:00 PM EDT
30.89 -0.10 (-0.32%)
After hours: October 30 at 7:01:38 PM EDT
Trade FNGD on Coinbase

ETF Summary

The notes are intended to be daily trading tools for sophisticated investors to manage daily trading risks as part of an overall diversified portfolio. The index is an equal-dollar weighted index designed to represent a segment of the technology and consumer discretionary sectors consisting of highly-traded growth stocks of technology and tech-enabled companies.

ETF Overview

Category Trading--Inverse Equity
Fund Family BMO Capital Markets
Net Assets 49.29M
YTD Daily Total Return -45.90%
Yield 0.00%
Legal Type Exchange Traded Fund

ETF Operations

Attributes FNGD Category Average
Annual Report Expense Ratio (net)
0.95% 0.00%
Holdings Turnover
0.00% --
Total Net Assets
1,891,786.00 1,891,786.00

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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