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| Returns | 1D | 1M | 3M | YTD | 1Y | 3Y | 5Y | MAX |
|---|---|---|---|---|---|---|---|---|
| Total return | ▼ −1.9% | ▼ −5.9% | ▲ +9.9% | ▲ +36.6% | ▲ +29.1% | ▲ +127.0% | ▲ +29.3% | ▲ +157.1% |
| Peer average | ▼ −2.3% | ▼ −8.9% | ▲ +0.2% | ▲ +27.8% | ▲ +22.7% | ▲ +154.7% | ▲ +100.8% | — |
| S&P 500 · VOO | ▼ −0.4% | ▲ +0.9% | ▲ +3.3% | ▲ +13.8% | ▲ +13.3% | ▲ +88.8% | ▲ +81.9% | — |
This ETF typically dedicates at least 80% of its net assets—including any funds borrowed for investment purposes—to the common stock of companies operating in the technology, artificial intelligence, and deep learning sectors. The fund also retains the flexibility to invest in small and mid-capitalization companies, a strategy the Adviser believes may lead to enhanced capital appreciation and dividend yield from these comparatively smaller firms. It is important to note that this fund is structured as non-diversified.
Distribution yield and SEC yield use different methodologies. Payouts may include income, capital gains, or return of capital.
| Ex-date | Pay date | Per share |
|---|---|---|
| 2021-12-29 | 2021-12-31 | $0.06 |
Estimated annual expense excludes trading costs and assumes constant assets. Fee waivers and fund costs can change.
Historical risk measures describe past behavior and do not predict future returns.
Hear the strategy from the people behind LRNZ.