HBMX
Not rated
No published distribution safety rating is available.
ETF Comparison
A head-to-head comparison of Tuttle Capital Concentrated Memory Stack ETF and iShares Semiconductor ETF covering yield, cost, risk, and income potential.
Updated November 6, 2026
No track record yet. HBMX launched within the last six months. The forward distribution rate is left blank until a payout is published.
How these figures are calculated: methodology.
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An estimate of distribution reliability, not price or principal safety, a probability, or a guarantee. Score methodology.
Not rated
No published distribution safety rating is available.
Elevated risk
High confidence
Score snapshot as of . Method 1.11.
| Metric | ||
|---|---|---|
| Full name | Tuttle Capital Concentrated Memory Stack ETF | iShares Semiconductor ETF |
| Issuer | Tuttle Capital Management | iShares |
| Last Close | $16.69 as of November 6, 2026 | $136.53 as of November 6, 2026 |
| Distribution rate | — | 0.32% |
| Trailing 12-month yield | — | 0.31% |
| Distribution Safety Score™ | — | 35 |
| Safety-Adjusted Yield | — | 0.11% |
| Expense ratio | 0.95% | 0.33% |
| AUM | $19.4M | $44.3B |
| Distribution frequency | Annual | Quarterly |
| Underlying index | Actively managed (no tracked index recorded) | ICE Semiconductor Index |
| Objective | HBMX is an actively managed, concentrated ETF seeking long-term capital appreciation through focused exposure to the memory semiconductor ecosystem — DRAM, NAND, and high-bandwidth memory (HBM) producers plus the advanced packaging, testing, and equipment companies behind AI infrastructure. | Tracks the ICE Semiconductor Index of US-listed semiconductor companies. |
| Asset class | Equity | Equity |
| Inception date | 06/02/2026 | 07/10/2001 |
| Beta | — | 2.41 |
| Last dividend | — | $0.10833 |
| Ex-dividend date | — | 09/15/2026 |
— Distribution rate, Safety-Adjusted Yield, last dividend, and ex-dividend date are not yet available because HBMX launched June 2026; these fields will populate after the first distribution.
100% reinvested · ex-date convention. Period returns use this fixed assumption, independent of chart settings. YTD and 1Y are cumulative period returns; 3Y, 5Y, and 10Y are annualized. The shared Since-start window is annualized only when it covers at least one year.
HBMX has outpaced SOXX over the year to date, posting a -41.43% total return against -56.12%. HBMX has been the steadier holding, though — annualized volatility of 75.7% against 194.7% for SOXX. Figures are total returns: price change plus every distribution reinvested.
| Symbol | YTD cumulative | Since Jun 2026 | Volatility | Sharpe | Sortino | Max drawdown |
|---|---|---|---|---|---|---|
| HBMX | -41.43% | -41.43% | 75.7% | -1.69 | -2.12 | -49.9% |
| SOXX | -56.12% | -78.17% | 194.7% | -1.83 | -1.85 | -79.8% |
Total return with all distributions reinvested on the ex-dividend date (a modeling convention, not the cash-settlement date), split-adjusted, as of November 5, 2026. YTD and 1Y are cumulative period returns; 3Y, 5Y, and 10Y are annualized. The shared Since-start window is annualized only when it covers at least one year. “Since Jun 2026” measures every fund from June 2, 2026 — the start of shared available history — so all funds share one comparison window. Volatility is the annualized standard deviation of daily total returns over the shared window since Jun 2026. Sharpe and Sortino divide the annualized return in excess of the risk-free rate by, respectively, that volatility and the downside deviation (both over the shared window since Jun 2026) — higher is better. Max drawdown is the largest peak-to-trough total-return decline over the same window — shallower is better.
Projections assume the current yield and share price remain constant. Actual results will vary.
Bottom lineWe won't call this one: HBMX launched June 2026, so there is not yet a track record to compare. Compare the strategy, cost and holdings in the sections above and treat any performance figures for the newer ETF as provisional. What is already clear from the numbers above: the two do not cost the same — SOXX charges 0.33% against 0.95% for HBMX, and on funds tracking the same thing that gap compounds every year you hold.
See how much monthly income a hypothetical investment would generate in each ETF at current yields.
ETFs and AUM reflect what Dividend Vision tracks — the issuer's full lineup may be larger.
Tuttle Capital Management is known for creating specialized, thematic, and income-focused ETFs that often target niche market segments and unconventional investment themes. The issuer's fund lineup spans income strategies, covered call approaches, and thematic investments covering areas ranging from technology and entertainment to alternative sectors, with tickers like SARK (targeting short positions in ark funds) and MEMY (focused on meme stocks) reflecting their emphasis on distinctive market angles. The firm distinguishes itself through a diversified portfolio of tactical and thematic offerings that appeal to investors seeking exposure beyond traditional market categories.
See our curated list of related YouTube videos on HBMX.
ETFs and AUM reflect what Dividend Vision tracks — the issuer's full lineup may be larger.
iShares, operated by BlackRock, is one of the largest and most established ETF providers globally, known for offering broad, liquid index-tracking funds across nearly all asset classes and investment styles. The lineup encompasses a comprehensive range of strategies including core equity and bond exposure, dividend and income-focused funds, covered call strategies, ESG and thematic investments, factor-based approaches, alternatives, commodities, and municipal bonds, serving both individual and institutional investors. With numerous popular ticker symbols and extensive diversification across geographies, sectors, and investment objectives, iShares provides one of the market's widest selections of ETFs for building diversified portfolios.
See our curated list of related YouTube videos on SOXX.
HBMX (Tuttle Capital Concentrated Memory Stack ETF) and SOXX (iShares Semiconductor ETF) are both ETFs, but they take different approaches.
SOXX currently shows a 0.32% distribution yield. HBMX has not yet established a full distribution history, so a comparable yield figure is not available.
SOXX is cheaper with an expense ratio of 0.33% compared to 0.95%.
SOXX has $44.3B in assets vs $19.4M for HBMX, but HBMX only launched June 2026 — AUM comparisons will become more meaningful as it builds a track record.
Positions that appear in every fund's top 10. Issuers disclose only the largest weights, so this captures the overlap of the concentrated end of each book — not the full portfolios.
| Position | HBMX | SOXX |
|---|---|---|
| MU Micron Technology Inc |
On a $10,000 investment at current distribution rates, HBMX has no reported distribution yield yet, so a cash estimate is not available, while SOXX would pay about $32.00 a year (about $8.00 per quarterly distribution).
Over 10 years on $10,000, HBMX would cost approximately $950 in fees vs $330 for SOXX (simplified, not compounded). The $620.00 difference may be offset by yield or performance.
HBMX is an actively managed ETF built around a thematic strategy, while SOXX tracks ICE Semiconductor Index.
HBMX is managed by Tuttle Capital Management (launched 06/02/2026) with $19.4M in assets. SOXX is managed by iShares (launched 07/10/2001) with $44.3B in assets.
SOXX currently reports a distribution yield, while HBMX has not yet established a full distribution history. A direct income comparison is not yet meaningful — check back once both funds have published several consecutive distributions.
HBMX (Tuttle Capital Concentrated Memory Stack ETF) is an actively managed ETF built around a thematic strategy, while SOXX (iShares Semiconductor ETF) tracks ICE Semiconductor Index. They are issued by Tuttle Capital Management and iShares respectively.
Yes. Their disclosed top-10 holdings share only 1 position, so combining both adds mostly distinct underlying names — see the holdings-overlap section above. Overlap outside the disclosed top 10 can still exist.
HBMX has an expense ratio of 0.95% while SOXX charges 0.33%. Lower fees mean more of your investment returns stay in your pocket over time.
At current distribution rates, HBMX has not established a distribution history yet, so a cash estimate is not available. $10,000 in SOXX would pay about $32.00 a year (about $8.00 per quarterly distribution).
HBMX has outpaced SOXX over the year to date, posting a -41.43% total return against -56.12%. HBMX has been the steadier holding, though — annualized volatility of 75.7% against 194.7% for SOXX. Figures are total returns: price change plus every distribution reinvested. Past performance does not guarantee future results.
Generated October 31, 2026.
Figures quoted in this analysis are from its generation date and may lag the live snapshot table above, which always shows the latest data.
HBMX and SOXX are both semiconductor-focused ETFs, but they operate from opposite poles of the spectrum. SOXX is a broad, passive index tracker holding the full universe of US-listed semiconductor firms via the ICE Semiconductor Index. HBMX is a concentrated, actively managed fund that narrows that universe to just the memory semiconductor ecosystem—DRAM, NAND, high-bandwidth memory producers, and their packaging and equipment suppliers—betting that AI infrastructure demand will disproportionately reward memory and related chipmakers.
The biggest structural difference is passive versus active with vastly different concentration: SOXX holds the entire semiconductor index through an ETF with $44.3B, while HBMX uses active stock selection to focus on memory-centric names with $19.4M.
If you want semiconductor exposure with low cost, depth of index history, and broad diversification, SOXX's passive index approach and quarterly income are hard to beat. If you believe memory semiconductors will significantly outpace the rest of the chip sector as AI scales, and you're willing to pay for active management and accept concentration risk, HBMX offers a focused alternative—but it comes with a short track record and smaller fund. Past performance does not predict future results, and both funds' returns will depend heavily on whether AI spending sustains at current levels and where memory chip economics head from here.
AI-generated analysis for educational purposes only. Verify important details independently; past performance does not guarantee future results.
The metrics behind this comparison, explained in the Academy.
These comparisons follow the Dividend Vision methodology.