SMMD(SMMD)
AI Look-Through Summary
AI GeneratedThe portfolio's sector allocation is predominantly small-cap focused, with a significant weighting in Small Blend at approximately 41%. This suggests that the fund has a strong bias towards smaller market-capitalization companies. The overall valuation posture appears to be relatively rich, with a weighted P/E of 18.5x and a weighted P/B of 1.71x.
The concentration risk is high due to the significant weighting in IWM, which accounts for approximately 41% of the portfolio. This single stock dominance may amplify any potential volatility in the market. Compared to the broader market, this fund has an even higher allocation to small-cap stocks and a lower exposure to other sectors such as Technology and Financial Services. A favorable macro environment would likely be one with strong economic growth and low interest rates, which could support the performance of smaller companies.
Generated by Qwen-32B from constituent-level data. Not investment advice. Updated: 2026-07-14 09:26:43.827746+00
🔍 Theme Alignment Audit
AI GeneratedPurity: 25/100The investment theme implied by the ticker SMMD suggests a focus on small-cap manufacturing, yet the fund's composition reveals a significant divergence from this stated objective. The portfolio is overwhelmingly dominated by the IWM ETF, which holds a staggering 42.2% of assets and represents a broad exposure to small-blend equities rather than specific industrial or manufacturing companies. This heavy reliance on a single blended index indicates that the fund utilizes a broad-market proxy as its primary vehicle for stability, potentially diluting any genuine thematic concentration in actual manufacturers. While individual holdings like SNDK, CIEN, and LITE appear in the technology sector, their combined weight is negligible at only 4.5%, further highlighting that the portfolio lacks deep specialization in manufacturing or industrial sub-sectors despite the naming convention.
Sector coherence presents a notable challenge given the fund's structure, as the vast majority of assets are allocated to the Small Blend category rather than Industrials or Technology. Although the sector breakdown lists Industrials at 1.9%, this figure is insufficient to establish a coherent manufacturing focus when contrasted with the dominant small-cap blend exposure. The high top-ten concentration of nearly 50% reinforces that performance will be driven largely by the broader small-cap market dynamics captured through IWM, rather than idiosyncratic gains from specific industrial or tech firms. Consequently, while the fund maintains a concentrated position in terms of asset count due to its use of ETFs within holdings, it does not exhibit strong differentiation from general small-cap indices regarding sector-specific themes, leaving investors with broad market exposure under a thematic label.
AI analysis of holdings alignment vs fund theme. Not investment advice. Updated: 2026-05-24 11:19:08.801261+00
🏢 Sector Analysis
AI GeneratedThe SMMD ETF exhibits an exceptionally concentrated portfolio structure, with a single holding accounting for the entirety of its Small Blend exposure at 42.2%. This heavy reliance on one security to represent an entire sector category suggests a highly specific investment thesis that prioritizes direct access to small-cap blended strategies over diversification across multiple names within that niche. The fund's top ten holdings collectively comprise nearly half of total assets, indicating significant concentration risk where performance is disproportionately driven by the movements of its largest constituents rather than broad market exposure.
Sector allocation reveals a distinct tilt toward smaller capitalization values, as evidenced by the dominant Small Blend weighting compared to negligible exposures in Technology and Industrials. While minor positions exist in technology and industrial sectors, these appear functionally secondary to the primary small-cap strategy embedded within the leading holding. This structural setup implies that the fund's factor tilts are largely dictated by the characteristics of its top position rather than a balanced approach across various market segments or growth drivers. The limited number of holdings per sector further underscores an active selection process focused on specific securities rather than passive replication of broad industry indices, resulting in a profile where idiosyncratic risks associated with individual companies play a more pronounced role in overall portfolio volatility.
AI-generated sector analysis from constituent-level data. Not investment advice. Updated: 2026-05-23 08:09:25.289999+00
ETF Look-Through Dashboard
Peer through the ETF wrapper to see exactly what you own. Every metric is computed from constituent-level data.
Herfindahl-Hirschman Concentration Index
Morningstar-Style Box
Sector & Cap Explorer
Earnings vs. Price Decomposition
ProprietarySMMD is up 29.7% over the last 12 months. The underlying weighted earnings growth of its constituents is +31.9%. Despite earnings growth, valuations have contracted by 2.2% — the market is paying less per dollar of earnings than a year ago.
Earnings growth = weighted average YoY EPS growth of all constituents (capped at ±500% to limit outlier distortion). Based on 3% of fund weight with earnings data. Not investment advice.
Concentration Risk Monitor
CRITICALIWM at 41.0% has captured SMMD's portfolio. The top 3 holdings (42%) dominate the fund's variance — the remaining 7 stocks provide minimal diversification.SMMD effectively behaves like a 6-stock portfolio, not a 10-stock one.
Effective # of Stocks = 1 / HHI (Herfindahl-Hirschman Index). Variance share approximated as w² / Σw². Not investment advice.
Passive Crowding Score
LOWHow much of each constituent's market cap is structurally locked in passive ETFs — a proxy for liquidity fragility during sell-offs.
SMMD has a low Passive Crowding Score of 8/100. On average, 2.5% of the market capitalization of SMMD's underlying holdings is structurally locked in passive ETF vehicles. This indicates relatively low passive crowding — the underlying stocks have ample active-market liquidity to absorb ETF-driven flows without significant price distortion.
Passive $ = Σ(ETF AUM × holding weight) across all 1 tracked ETFs. Actual passive ownership is higher (includes mutual funds, pension funds). Not investment advice.
Under the Hood — Top 10 Constituents
| # | Ticker | Company | Weight | P/E | F-Score |
|---|---|---|---|---|---|
| 1 | IWM | iShares Russell 2000 ETF Small Blend | 41.02% | 17.7x | — |
| 2 | MKSI | MKS Inc | 0.40% | 49.6x | 7/9 |
| 3 | CRS | Carpenter Technology Corp Industrials | 0.40% | 58.5x | 7/9 |
| 4 | NVT | nVent Electric PLC | 0.36% | 43.9x | 6/9 |
| 5 | ATI | ATI Inc Industrials | 0.35% | 61.4x | 8/9 |
| 6 | MTSI | MACOM Technology Solutions Holdings Inc | 0.34% | 97.1x | 5/9 |
| 7 | WWD | Woodward Inc Industrials | 0.34% | 47.2x | 9/9 |
| 8 | STRL | Sterling Infrastructure Inc | 0.34% | 48.3x | 5/9 |
| 9 | FFIV | F5 Inc Technology | 0.31% | 33.1x | 7/9 |
| 10 | AFRM | Affirm Holdings Inc Ordinary Shares - Class A Financial Services | 0.30% | 59.8x | — |
Historical Holdings Snapshots
Browse how SMMD’s holdings have changed across SEC filing dates. Showing top holdings per snapshot.
2026-07-18
10 holdings · 44.2% tracked weight2026-07-17
10 holdings · 44.2% tracked weight2026-07-16
10 holdings · 44.2% tracked weight2026-07-15
10 holdings · 44.2% tracked weight2026-07-13
10 holdings · 44.2% tracked weightSource: SEC filings and fund provider disclosures. Shows last 6 snapshot dates, top 15 holdings per date by weight.
Risk Profile
Sharpe = risk-adjusted return (higher is better). Computed from 1,200+ trading days with 5% risk-free rate.
Price Chart with Moving Averages
What Drove SMMD Today?
Daily return attribution — which holdings contributed most (and least) to the fund's move.
Underwater (Drawdown from Peak)
How far below the all-time high the price has been over time. Deeper = more pain for holders.
Rolling 60-Day Beta vs S&P 500 (VOO)
How the ETF's sensitivity to market moves changes over time. β > 1 = more volatile than the market.
Yield & Income
Sector Drift Over Time
How SMMD’s sector allocation has shifted across snapshots. Use the slider to travel through time.
Active Conviction Tracker
Shares bought and sold between the latest two data snapshots — reveals what the fund manager is actually doing.
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Quant metrics computed deterministically from financial statements and price data. Updated: 2026-07-17.
SecuritiesDB is for informational purposes only. Not investment advice.