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| Returns | 1D | 1M | 3M | YTD | 1Y | 3Y | 5Y | MAX |
|---|---|---|---|---|---|---|---|---|
| Total return | ▼ −3.5% | ▼ −15.7% | — | — | — | — | — | ▼ −16.4% |
| 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% | — |
Reported holdings are shown below. A share-of-fund chart is unavailable for this portfolio.
Holdings as of 2026-10-30. Derivatives are shown using their reported instrument names.
| Holding | Instrument | Weight |
|---|---|---|
| SOLACTIVE MEMORY AND PHOTONICS INDEX-SWAP-BNPP-L | swap | 100.08% |
| First American Government Obligations Fund 12/01/2031 | Reported holding | 91.19% |
| Cash & Other | Reported holding | -91.27% |
PRAM focuses on AI demand by targeting its supply chain, including companies in the memory and photonics sectors. These companies store data and help move data rapidly between chips, servers, and data centers using light. The index includes equity securities globally, with the following business exposure: data storage drives and peripherals, semiconductors, including flash memory, volatile memory, networking, RF analog and mixed signal, and other memory semiconductors, and optoelectronics electronic components. Companies must be listed on one of these exchanges: NASDAQ, NYSE, HKEX, Taiwan Stock Exchange (including Taipei Exchange), Korea Exchange, OMX Nordic Stockholm, and Tokyo Stock Exchange. The index targets the 20 largest securities and weights them equally. It undergoes quarterly rebalancing. PRAM may invest directly in stocks or in derivatives that have the same exposure as the index components.
Distribution yield and SEC yield use different methodologies. Payouts may include income, capital gains, or return of capital.
| Ex-date | Pay date | Per share |
|---|---|---|
| 2026-09-23 | 2026-09-24 | $0.02 |
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 PRAM.