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Franklin Exponential Data ETF (XDAT)

24.98 -1.37 (-5.18%)
At close: October 30 at 2:46:37 PM EDT
Trade XDAT on Coinbase

ETF Summary

Under normal market conditions, the fund invests at least 80% of its net assets in equity securities of companies that are relevant to the fund's investment theme of exponential data. It invests predominantly in common stock. In pursuing the fund's investment theme, the investment manager may invest in companies in any economic sector or of any market capitalization and may invest in companies both inside and outside of the United States, including those in developing or emerging markets. The fund is non-diversified.

ETF Overview

Category Technology
Fund Family Franklin Templeton, Inc
Net Assets 4.2M
YTD Daily Total Return -0.03%
Yield 0.00%
Legal Type Exchange Traded Fund

ETF Operations

Attributes XDAT Category Average
Annual Report Expense Ratio (net)
0.50% 0.90%
Holdings Turnover
31.00% 58.20%
Total Net Assets
173,055.31 173,055.31

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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