MGK(MGK)
AI Look-Through Summary
AI GeneratedMGK presents a portfolio structure heavily concentrated within the technology sector, which accounts for more than half of its total assets. This dominance is driven by significant weightings in mega-cap equities such as NVIDIA, Apple, and Microsoft, whose combined presence creates a substantial exposure to semiconductor demand, cloud computing infrastructure, and consumer electronics markets. The fund's composition further extends into communication services through major holdings like Alphabet and Meta, reinforcing a thematic tilt toward digital advertising platforms and internet connectivity providers. While consumer cyclical and healthcare sectors provide diversification with notable positions in Amazon and Eli Lilly respectively, their influence remains secondary to the overwhelming technology focus established by the top ten constituents.
Geographically, while specific regional breakdowns are not detailed in the provided data, the heavy reliance on U.S.-based hyperscalers suggests a primary investment thesis centered on American innovation leaders rather than broad global market exposure. The concentration of assets within just three sectors—technology, communication services, and consumer cyclicals—indicates that performance will likely correlate strongly with macroeconomic factors affecting digital consumption and enterprise software spending. With an asset base nearing $28 billion, the fund possesses significant liquidity but maintains a narrow risk profile due to its dependence on a small number of high-flying stocks. The quantitative metrics implied by these holdings suggest volatility could be elevated during periods of sector rotation or regulatory scrutiny targeting large technology firms, as the lack of diversification across industries means broader market downturns may impact the fund disproportionately compared to more balanced equity strategies.
Generated by Qwen-32B from constituent-level data. Not investment advice. Updated: 2026-05-24 02:58:04.674025+00
🔍 Theme Alignment Audit
AI GeneratedPurity: 92/100The investment theme implied by the MGK ticker is a focus on large-cap growth equities, and the fund's composition aligns closely with this designation. The top holdings are dominated by mega-cap technology and communication services leaders such as NVIDIA, Apple, Microsoft, Google, Amazon, Meta, and Tesla, which collectively represent a significant portion of the portfolio. While there is some exposure to sectors like healthcare and financial services through companies like Eli Lilly and Visa, these positions appear secondary to the primary driver of growth-oriented large caps rather than indicating a deviation from the stated theme. The heavy weighting toward established market leaders suggests an intentional strategy to capture broad-based appreciation within the largest publicly traded entities that exhibit high growth potential, maintaining consistency with the fund's implied objective without relying on obscure or thematic outliers to justify its name.
Sector coherence is strong given the overwhelming concentration in technology at 55.6%, followed by communication services and consumer cyclicals, which together account for nearly half of all assets under management. This distribution highlights a genuine differentiation from a broad market index that would typically maintain more balanced exposure across defensive sectors like utilities or staples. The high top-ten concentration of 66.6% underscores the fund's reliance on its largest constituents to generate returns, creating a profile distinct from diversified broad-market benchmarks while staying true to the large-cap growth narrative. Although the inclusion of smaller allocations in industrials and real estate adds slight nuance, these weights are insufficient to dilute the core thematic focus on dominant growth stocks, resulting in a portfolio structure that effectively mirrors its intended investment style through both sector weighting and individual stock selection.
AI analysis of holdings alignment vs fund theme. Not investment advice. Updated: 2026-05-21 23:53:26.841737+00
⚠️ Systemic Risk Synthesis
AI GeneratedThe newly disclosed risk factors from the top holdings of MGK highlight three distinct but interconnected macro-level threats: regulatory compliance regarding climate change, evolving data privacy standards, and emerging frameworks for artificial intelligence. These disclosures indicate that a significant portion of the fund's largest constituents are facing potential material adverse impacts or increased operational costs stemming not just from internal strategy shifts, but from external governmental mandates. Specifically, NVIDIA's detailed warnings on AI regulation and cybersecurity alongside environmental compliance suggest a broader trend where technology leaders anticipate stricter oversight in how they deploy advanced computing power, manage user data, and address their carbon footprints.
The concentration of these risks within the fund's portfolio is substantial due to the high weighting assigned to companies operating at the forefront of these specific technological domains. With NVIDIA alone representing 13.8% of assets under management and facing explicit risks across all three identified categories—environmental, cybersecurity, and AI regulation—the fund exhibits a notable exposure to regulatory uncertainty in the tech sector. This overlap means that adverse shifts in policy regarding climate goals or digital governance could simultaneously impact multiple top-tier holdings rather than isolating the risk within a single entity. The fact that such systemic issues are being formally flagged as material by several of the largest weights suggests a correlated downside scenario where macro-level regulatory actions could exert pressure on the fund's performance across its core technology exposure.
While NVIDIA stands out due to its weight and multi-faceted disclosure, other top holdings like Microsoft, Apple, Google, and Amazon inherently operate within similar regulatory environments regarding data privacy and AI usage, even if their specific 10-K filings for this period did not explicitly list these categories with the same granularity as NVIDIA. The presence of these risks in such a heavily weighted technology-heavy fund underscores that macro policy decisions could have an outsized effect on overall portfolio volatility, particularly if regulatory bodies accelerate enforcement or expand the scope of compliance requirements beyond current industry norms.
Synthesized from constituent 10-K risk factor disclosures. Not investment advice. Updated: 2026-05-23 13:23:43.634296+00
🏢 Sector Analysis
AI GeneratedThe sector allocation of MGK reveals a pronounced focus on the technology and communication services industries, which collectively account for over 73% of total assets. This heavy weighting suggests an investment thesis centered squarely on digital infrastructure, software dominance, and internet-based revenue models rather than balanced exposure across the broader economy. The significant underrepresentation of defensive sectors like consumer staples (0.4%) and utilities highlights a deliberate avoidance of stability in favor of potential high-growth volatility associated with innovation-driven markets. Such a structure implies that the fund's performance will be highly correlated to macroeconomic conditions favorable for risk-taking, such as low interest rate environments or periods of rapid technological adoption, while potentially lacking a natural hedge during economic contractions where defensive sectors typically outperform.
Concentration risk is further amplified by an extreme top-10 holding concentration of 66.6%, driven largely by the massive weightings assigned to NVIDIA and Apple alone. With these two names comprising nearly 25% of the portfolio, the fund exhibits a distinct factor tilt toward large-cap growth and momentum characteristics rather than broad market diversification or value orientation. The reliance on just six technology-related entities for more than half the portfolio indicates that idiosyncratic risks specific to those companies—such as regulatory scrutiny, product cycle shifts, or executive leadership changes—are magnified significantly within this vehicle. Consequently, while the allocation seeks maximum exposure to the leading innovators in computing and digital media, it sacrifices sectoral breadth, meaning returns will be heavily dependent on the continued outperformance of a narrow set of mega-cap leaders rather than a wide array of industry participants.
AI-generated sector analysis from constituent-level data. Not investment advice. Updated: 2026-05-21 09:19:03.113914+00
Flow Driver Analysis
2-Step CircleWhich larger ETFs share MGK's holdings — and mechanically drive its price through index rebalancing flows?
Approximately 100% of MGK's weight flows through these larger ETFs
| Driver ETF | AUM | Expense | Shared Stocks | Weight Overlap |
|---|---|---|---|---|
| VTIVanguard Total Stock Market Index Fund ETF Shares | $2.1T | 0.03% | 59 | 99.8% |
| VONEVONE | $10B | — | 59 | 99.8% |
| VTVT | $80B | — | 58 | 99.5% |
| VUGVanguard Growth Index Fund ETF Shares | $325B | — | 58 | 99.4% |
| RSPRSP | $83B | — | 57 | 99.0% |
100% of MGK's portfolio by weight is also held by VTI, which commands 75× more assets under management. When VTI receives inflows, it mechanically buys these shared stocks — dragging MGK's NAV along regardless of any thematic or sector catalyst. Combined, the top 5 overlapping ETFs control exposure to 100% ofMGK's weight.
Overlap computed from constituent-level holdings data across 5 ETFs. Price co-movement with driver ETFs is structural, not coincidental. Not investment advice.
ETF Look-Through Dashboard
Replaces $249/yr MorningstarPeer through the ETF wrapper to see exactly what you own. Every metric is computed from constituent-level data.
Weighted metrics calculated based on 99% of fund assets with available data.
Herfindahl-Hirschman Concentration Index
Morningstar-Style Box
Sector & Cap Explorer
ETF Fundamental Radar
Operational health is mixed, with the bulk of weight in the mid-range (4–6) Piotroski scores.
Piotroski F-Score (Operational Health)
Score 0-9: Measures Profitability, Leverage, and Efficiency
Computed by rolling up individual stock Piotroski F-Scores, Altman Z-Scores, and Beneish M-Scores weighted by each constituent's allocation. Data that Vanguard and BlackRock don't surface.
Dividend Safety True-Up
DeterministicThe dividend-paying companies inside MGK collectively pay out 21% of their Free Cash Flow to maintain the current yield. This leaves a substantial cash buffer, making dividend cuts unlikely even in a downturn. Based on 73% of fund weight in dividend-paying stocks.
FCF Payout Ratio = Dividends Paid / Free Cash Flow, weighted by constituent allocation. Not investment advice.
Earnings vs. Price Decomposition
ProprietaryMGK is down 73.7% over the last 12 months. The underlying weighted earnings growth of its constituents is +51.3%. Despite earnings growth, valuations have contracted by 125.0% — 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 99% of fund weight with earnings data. Not investment advice.
Value Creation Map
ROIC vs WACCWhat percentage of MGK's weight is allocated to companies that create economic value (ROIC > WACC) vs. destroy it?
Of MGK's analyzed weight, 82% is invested in companies earning more than their cost of capital — genuine value creators. The remaining 18% consists of companies whose ROIC falls below their WACC, effectively destroying shareholder value with every dollar invested.
ROIC-WACC spread for 96% of fund weight with available data. Not investment advice.
Concentration Risk Monitor
HIGHNVDA at 13.8% contributes an estimated 32% of portfolio variance.MGK holds 50 stocks but behaves like an 17-stock portfolio due to weight concentration in the top holdings.
Effective # of Stocks = 1 / HHI (Herfindahl-Hirschman Index). Variance share approximated as w² / Σw². Not investment advice.
Passive Crowding Score
MODERATEHow much of each constituent's market cap is structurally locked in passive ETFs — a proxy for liquidity fragility during sell-offs.
MGK has a Passive Crowding Score of 35/100. On average, 10.4% of the market capitalization of MGK's underlying holdings is structurally locked in passive ETF vehicles. This indicates moderate passive ownership density. Index rebalances and ETF creation/redemption activity can amplify short-term volatility in the underlying holdings.
Passive $ = Σ(ETF AUM × holding weight) across all 52 tracked ETFs. Actual passive ownership is higher (includes mutual funds, pension funds). Not investment advice.
Under the Hood — Top 15 Constituents
| # | Ticker | Company | Weight | P/E | F-Score |
|---|---|---|---|---|---|
| 1 | NVDA | NVIDIA Corp. Technology | 13.77% | 32.4x | 4/9 |
| 2 | AAPL | Apple Inc. Technology | 11.79% | 37.7x | 8/9 |
| 3 | MSFT | Microsoft Corp. Technology | 8.69% | 26.8x | 5/9 |
| 4 | GOOGL | Alphabet Inc. Class A Communication Services | 6.46% | 29.0x | 6/9 |
| 5 | AVGO | Broadcom Inc. Technology | 5.20% | 86.9x | 8/9 |
| 6 | AMZN | Amazon.com Inc. Consumer Cyclical | 5.12% | 31.7x | 6/9 |
| 7 | GOOG | Alphabet Inc. Class C Communication Services | 5.09% | 28.7x | 6/9 |
| 8 | META | Facebook Inc. Class A Communication Services | 3.90% | 23.0x | 5/9 |
| 9 | TSLA | Tesla Inc. Consumer Cyclical | 3.76% | 399.8x | 5/9 |
| 10 | LLY | Eli Lilly & Co. Healthcare | 2.82% | 39.2x | 7/9 |
| 11 | AMD | Advanced Micro Devices Inc. Technology | 2.28% | 172.6x | 7/9 |
| 12 | V | Visa Inc. Class A Financial Services | 1.88% | 28.5x | 6/9 |
| 13 | MA | Mastercard Inc. Class A Financial Services | 1.52% | 28.6x | 8/9 |
| 14 | NFLX | Netflix Inc. Communication Services | 1.50% | 27.7x | 6/9 |
| 15 | LRCX | Lam Research Corp. Technology | 1.32% | 60.3x | 7/9 |
Historical Holdings Snapshots
Browse how MGK’s holdings have changed across SEC filing dates. Showing top holdings per snapshot.
2026-05-24
15 holdings · 75.1% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | NVDA | 13.77% | 22,093,160 | $4.4B |
| 2 | AAPL | 11.79% | 13,914,331 | $3.8B |
| 3 | MSFT | 8.69% | 6,825,540 | $2.8B |
| 4 | GOOGL | 6.46% | 5,373,323 | $2.1B |
| 5 | AVGO | 5.20% | 3,988,213 | $1.7B |
| 6 | AMZN | 5.12% | 6,181,156 | $1.6B |
| 7 | GOOG | 5.09% | 4,266,096 | $1.6B |
| 8 | META | 3.90% | 2,043,597 | $1.3B |
| 9 | TSLA | 3.76% | 3,153,173 | $1.2B |
| 10 | LLY | 2.82% | 966,690 | $903.5M |
| 11 | AMD | 2.28% | 2,059,174 | $730.0M |
| 12 | V | 1.88% | 1,825,759 | $602.2M |
| 13 | MA | 1.52% | 967,290 | $486.5M |
| 14 | NFLX | 1.50% | 5,123,335 | $479.6M |
| 15 | LRCX | 1.32% | 1,641,538 | $423.3M |
2026-05-23
15 holdings · 75.1% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | NVDA | 13.77% | 22,093,160 | $4.4B |
| 2 | AAPL | 11.79% | 13,914,331 | $3.8B |
| 3 | MSFT | 8.69% | 6,825,540 | $2.8B |
| 4 | GOOGL | 6.46% | 5,373,323 | $2.1B |
| 5 | AVGO | 5.20% | 3,988,213 | $1.7B |
| 6 | AMZN | 5.12% | 6,181,156 | $1.6B |
| 7 | GOOG | 5.09% | 4,266,096 | $1.6B |
| 8 | META | 3.90% | 2,043,597 | $1.3B |
| 9 | TSLA | 3.76% | 3,153,173 | $1.2B |
| 10 | LLY | 2.82% | 966,690 | $903.5M |
| 11 | AMD | 2.28% | 2,059,174 | $730.0M |
| 12 | V | 1.88% | 1,825,759 | $602.2M |
| 13 | MA | 1.52% | 967,290 | $486.5M |
| 14 | NFLX | 1.50% | 5,123,335 | $479.6M |
| 15 | LRCX | 1.32% | 1,641,538 | $423.3M |
2026-05-22
15 holdings · 75.1% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | NVDA | 13.77% | 22,093,160 | $4.4B |
| 2 | AAPL | 11.79% | 13,914,331 | $3.8B |
| 3 | MSFT | 8.69% | 6,825,540 | $2.8B |
| 4 | GOOGL | 6.46% | 5,373,323 | $2.1B |
| 5 | AVGO | 5.20% | 3,988,213 | $1.7B |
| 6 | AMZN | 5.12% | 6,181,156 | $1.6B |
| 7 | GOOG | 5.09% | 4,266,096 | $1.6B |
| 8 | META | 3.90% | 2,043,597 | $1.3B |
| 9 | TSLA | 3.76% | 3,153,173 | $1.2B |
| 10 | LLY | 2.82% | 966,690 | $903.5M |
| 11 | AMD | 2.28% | 2,059,174 | $730.0M |
| 12 | V | 1.88% | 1,825,759 | $602.2M |
| 13 | MA | 1.52% | 967,290 | $486.5M |
| 14 | NFLX | 1.50% | 5,123,335 | $479.6M |
| 15 | LRCX | 1.32% | 1,641,538 | $423.3M |
2026-05-21
15 holdings · 75.1% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | NVDA | 13.77% | 22,093,160 | $4.4B |
| 2 | AAPL | 11.79% | 13,914,331 | $3.8B |
| 3 | MSFT | 8.69% | 6,825,540 | $2.8B |
| 4 | GOOGL | 6.46% | 5,373,323 | $2.1B |
| 5 | AVGO | 5.20% | 3,988,213 | $1.7B |
| 6 | AMZN | 5.12% | 6,181,156 | $1.6B |
| 7 | GOOG | 5.09% | 4,266,096 | $1.6B |
| 8 | META | 3.90% | 2,043,597 | $1.3B |
| 9 | TSLA | 3.76% | 3,153,173 | $1.2B |
| 10 | LLY | 2.82% | 966,690 | $903.5M |
| 11 | AMD | 2.28% | 2,059,174 | $730.0M |
| 12 | V | 1.88% | 1,825,759 | $602.2M |
| 13 | MA | 1.52% | 967,290 | $486.5M |
| 14 | NFLX | 1.50% | 5,123,335 | $479.6M |
| 15 | LRCX | 1.32% | 1,641,538 | $423.3M |
2026-05-20
15 holdings · 75.1% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | NVDA | 13.77% | 22,093,160 | $4.4B |
| 2 | AAPL | 11.79% | 13,914,331 | $3.8B |
| 3 | MSFT | 8.69% | 6,825,540 | $2.8B |
| 4 | GOOGL | 6.46% | 5,373,323 | $2.1B |
| 5 | AVGO | 5.20% | 3,988,213 | $1.7B |
| 6 | AMZN | 5.12% | 6,181,156 | $1.6B |
| 7 | GOOG | 5.09% | 4,266,096 | $1.6B |
| 8 | META | 3.90% | 2,043,597 | $1.3B |
| 9 | TSLA | 3.76% | 3,153,173 | $1.2B |
| 10 | LLY | 2.82% | 966,690 | $903.5M |
| 11 | AMD | 2.28% | 2,059,174 | $730.0M |
| 12 | V | 1.88% | 1,825,759 | $602.2M |
| 13 | MA | 1.52% | 967,290 | $486.5M |
| 14 | NFLX | 1.50% | 5,123,335 | $479.6M |
| 15 | LRCX | 1.32% | 1,641,538 | $423.3M |
2026-05-19
15 holdings · 75.1% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | NVDA | 13.77% | 22,093,160 | $4.4B |
| 2 | AAPL | 11.79% | 13,914,331 | $3.8B |
| 3 | MSFT | 8.69% | 6,825,540 | $2.8B |
| 4 | GOOGL | 6.46% | 5,373,323 | $2.1B |
| 5 | AVGO | 5.20% | 3,988,213 | $1.7B |
| 6 | AMZN | 5.12% | 6,181,156 | $1.6B |
| 7 | GOOG | 5.09% | 4,266,096 | $1.6B |
| 8 | META | 3.90% | 2,043,597 | $1.3B |
| 9 | TSLA | 3.76% | 3,153,173 | $1.2B |
| 10 | LLY | 2.82% | 966,690 | $903.5M |
| 11 | AMD | 2.28% | 2,059,174 | $730.0M |
| 12 | V | 1.88% | 1,825,759 | $602.2M |
| 13 | MA | 1.52% | 967,290 | $486.5M |
| 14 | NFLX | 1.50% | 5,123,335 | $479.6M |
| 15 | LRCX | 1.32% | 1,641,538 | $423.3M |
Source: 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 MGK Today?
Daily return attribution — which holdings contributed most (and least) to the fund's move.
Technical Setup
AI GeneratedThe current trading price of $387.61 establishes a specific market level for MGK, yet the provided dataset lacks essential comparative metrics required to assess momentum or trend direction with precision. Without knowledge of where this price sits relative to key moving averages such as the 50-day or 200-day lines, it is impossible to determine if the asset is in an uptrend, downtrend, or consolidation phase based on standard technical frameworks. Similarly, while Relative Strength Index values are often used to gauge short-term momentum and potential overbought or oversold conditions, no RSI data was included in the input. Consequently, any assertion regarding whether buyers or sellers currently hold a distinct advantage remains speculative without these critical reference points. In the absence of specific moving average crossovers or oscillator readings, the technical picture for MGK appears incomplete for a definitive momentum analysis. Traders relying solely on price action at $387.61 cannot confirm if recent gains are sustainable or if corrective movements may follow, as context regarding historical volatility and trend alignment is missing. A comprehensive evaluation would typically require observing whether the current level represents support above long-term averages or resistance below them, neither of which can be verified here. Until additional data points clarifying the relationship between price and its moving averages become available, the short-term trajectory remains undefined from a pure technical standpoint, leaving market participants without clear signals on directional bias.
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 MGK’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.
Explore More
Quant metrics computed deterministically from financial statements and price data. Updated: 2026-06-02.
SecuritiesDB is for informational purposes only. Not investment advice.