Generated July 2026 from current fund data.
Overview
DRMP and HBMX are both actively managed ETFs focused on the memory semiconductor ecosystem, issued by Tuttle Capital Management and launched in mid-2026. The critical difference is their income strategy: DRMP generates a 37.31% distribution yield through systematic put credit spreads on memory-related securities and pays weekly, while HBMX targets long-term capital appreciation with annual distributions and carries no stated yield.
How they differ
DRMP uses an options-based income overlay—selling put spreads on memory stocks and indexes—to generate substantial weekly distributions, whereas HBMX pursues pure capital appreciation without an income strategy. This structural difference creates opposing risk profiles: DRMP's yield requires ongoing options sales to fund distributions, exposing holders to volatility and gap-down risk on memory names, while HBMX's concentrated equity approach captures upside from the memory-and-AI infrastructure theme but offers no current income.
DRMP's 37.31% yield likely relies on return-of-capital distributions given the underlying equity market environment; HBMX distributes annually and reports no yield. Both charge a 0.95% expense ratio, but DRMP is smaller at $6.67M in AUM compared to HBMX's $30.2M. DRMP's non-diversified mandate and weekly payout frequency demand active monitoring of roll risk and NAV, whereas HBMX's concentrated but more traditional equity structure appeals to growth-focused investors willing to forgo income.
Who each is best for
DRMP: Fits investors seeking near-monthly income streams from equity exposure and comfortable with the mechanics of covered-option strategies; suitable for those with high current-income needs who can tolerate the volatility and complexity of synthetic-spread distributions.
HBMX: Designed for growth-oriented investors betting on the memory-semiconductor and AI-infrastructure themes, with a multi-year time horizon and no need for current distributions; matches allocations where capital appreciation takes priority over yield.
Key risks to know
- NAV erosion at extreme yields: DRMP's 37.31% annualized distribution rate far exceeds realistic long-term equity returns in memory semiconductors. This nearly guarantees that a material portion of distributions will be return of capital, eroding the fund's NAV over time and reducing its value independent of stock performance.
- Options roll and gap risk on DRMP: Weekly put-spread sales create compounding reinvestment and timing risk. If memory stock prices gap down sharply—common in semiconductor volatility—short puts land in-the-money, potentially forcing assignment or roll losses that squeeze NAV.
- Concentration risk in memory semiconductor cyclicality: Both funds depend entirely on the memory-chip industry, which is exposed to sharp cyclical downturns in capital spending and pricing. A slowdown in AI infrastructure buildout or DRAM/NAND oversupply could pressure both holdings heavily.
- Limited fund maturity and track record: Both DRMP and HBMX launched in June 2026, offering no historical performance data through a full market cycle. Their small AUM ($6.67M for DRMP, $30.2M for HBMX) also raises liquidity and viability concerns if redemptions accelerate.
- Derivative complexity and cost on DRMP: The put-spread strategy introduces counterparty risk, bid-ask spreads in options, and rolling costs that may not be fully transparent in the 0.95% expense ratio. In volatile memory markets, these frictions can materially drag returns below the stated yield.
Bottom line
If you value steady current income and can tolerate options mechanics and NAV erosion, DRMP's weekly distributions appeal; if you prioritize capital growth and want traditional equity exposure to the memory-semiconductor theme, HBMX's simpler structure fits better. Both funds are extremely concentrated plays on a single industry theme with minimal operating history, so neither is appropriate for risk-averse or conservative allocations.
AI-generated analysis for educational purposes only. Verify important details independently; past performance does not guarantee future results.