LIT(LIT)
AI Look-Through Summary
AI GeneratedThe portfolio's sector allocation reveals a significant tilt towards basic materials, with a 24.6% weighting, which is more pronounced than the broader market's average exposure to this sector. The emphasis on basic materials is further underscored by the presence of RIO as the largest holding, accounting for approximately one-fifth of the fund's assets. This suggests that the portfolio has a meaningful allocation towards commodity-related stocks.
The geographic diversity of the portfolio appears limited, with multiple Chinese and Japanese holdings, but no significant representation from developed markets outside of these regions. The valuation posture is relatively rich, with a weighted P/E ratio of 21.5x and a weighted P/B ratio of 4.08x, indicating that investors are willing to pay a premium for the underlying assets. A concentration risk exists due to RIO's significant weighting, which may amplify potential losses if the stock underperforms. The sector mix is more sensitive to commodity price fluctuations than the broader market, making it vulnerable to changes in global economic conditions and supply-demand dynamics.
Generated by Qwen-32B from constituent-level data. Not investment advice. Updated: 2026-07-14 09:34:29.264732+00
🔍 Theme Alignment Audit
AI GeneratedPurity: 92/100The investment theme implied by the ticker LIT is Lithium, and the fund's composition demonstrates a strong alignment with this focus. The top holdings are dominated by Basic Materials companies known for exposure to lithium mining or processing, such as Rio Tinto, Albemarle, and SQM, which collectively represent a significant portion of the portfolio. While several other major constituents lack explicit sector labels in the provided data, their inclusion alongside these clear industry leaders suggests an underlying thematic concentration rather than a random selection of global equities. The absence of unrelated sectors like technology or consumer discretionary among the top ten positions further reinforces that the fund maintains its specific niche without dilution from broad-market names often used to smooth volatility.
Sector coherence is evident, with Basic Materials accounting for 31.4% of assets and comprising three distinct holdings within the top tier, indicating a deliberate overweight relative to standard indices. This heavy weighting in materials aligns logically with the supply chain dynamics inherent to a lithium-focused strategy, distinguishing the fund from diversified broad-market benchmarks that typically hold smaller allocations to commodities or mining. However, the portfolio exhibits notable concentration risk, as the top ten holdings collectively represent 62.4% of total assets under management. This high degree of reliance on a small group of stocks suggests that performance will be heavily influenced by the fortunes of these specific entities rather than providing broad sector diversification within the materials space itself. The fund appears to offer targeted thematic exposure but lacks the dispersion found in larger, more diversified commodity funds.
AI analysis of holdings alignment vs fund theme. Not investment advice. Updated: 2026-05-20 01:52:46.152227+00
🏢 Sector Analysis
AI GeneratedThe LIT ETF exhibits a highly concentrated portfolio structure, with the top ten holdings accounting for 62.4% of total assets under management. This level of concentration suggests an investment thesis focused on specific market leaders rather than broad diversification within its thematic scope. The allocation is heavily skewed toward Basic Materials, which comprises 31.4% of the fund's composition through only three distinct positions. Within this sector, Rio Tinto alone represents over one-fifth of the entire portfolio at 20.2%, followed by Albemarle at 7.1%. Such a distribution indicates that the fund's performance will be disproportionately driven by the fortunes of these few large-cap resource companies and their respective industries.
The presence of holdings labeled as "N/A" for sector classification further complicates the picture, implying exposure to sectors outside the primary materials focus or potentially cross-sector industrial giants not easily categorized by standard taxonomy. Combined with the high weightings in top-tier names like Rio Tinto and the Korean and Chinese entities listed without clear sector tags, the fund demonstrates a significant tilt toward large-cap equities within emerging markets and commodity cycles. This strategy inherently introduces elevated idiosyncratic risk; adverse events affecting any single major holding or the broader materials complex could materially impact overall portfolio volatility. Consequently, the vehicle appears designed for investors seeking aggressive exposure to specific resource supermajors rather than a balanced approach to the lithium value chain or global equities at large.
AI-generated sector analysis from constituent-level data. Not investment advice. Updated: 2026-05-21 23:57:49.092071+00
Flow Driver Analysis
2-Step CircleWhich larger ETFs share LIT's holdings — and mechanically drive its price through index rebalancing flows?
Approximately 85% of LIT's weight flows through these larger ETFs
| Driver ETF | AUM | Expense | Shared Stocks | Weight Overlap |
|---|---|---|---|---|
| VTVT | $80B | — | 2 | 24.6% |
| SPDWSPDW | $36B | — | 1 | 20.0% |
| VEAVanguard FTSE Developed Markets Index Fund ETF Shares | $290B | — | 1 | 20.0% |
| VEUVEU | $86B | — | 1 | 20.0% |
| VGKVGK | $37B | — | 1 | 20.0% |
25% of LIT's portfolio by weight is also held by VT, which commands 47× more assets under management. When VT receives inflows, it mechanically buys these shared stocks — dragging LIT's NAV along regardless of any thematic or sector catalyst. Combined, the top 5 overlapping ETFs control exposure to 100% ofLIT'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
Peer through the ETF wrapper to see exactly what you own. Every metric is computed from constituent-level data.
Weighted metrics calculated based on 81% 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
Based on 57% of fund weight with Piotroski data.
Computed by rolling up individual stock Piotroski F-Scores, Altman Z-Scores, and Beneish M-Scores weighted by each constituent's allocation.
Dividend Safety True-Up
DeterministicThe dividend-paying companies inside LIT collectively pay out 95% of their Free Cash Flow to maintain the current yield. Warning: constituent companies are paying out nearly all cash flow. A wave of dividend cuts may be imminent if earnings decline. Based on 34% 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
ProprietaryLIT is up 62.7% over the last 12 months. The underlying weighted earnings growth of its constituents is -8.5%. The remaining +71.1% of performance is driven by multiple expansion (P/E inflation) — prices rose faster than earnings grew.
Earnings growth = weighted average YoY EPS growth of all constituents (capped at ±500% to limit outlier distortion). Based on 57% of fund weight with earnings data. Not investment advice.
Value Creation Map
ROIC vs WACCWhat percentage of LIT's weight is allocated to companies that create economic value (ROIC > WACC) vs. destroy it?
Of LIT's analyzed weight, 71% is invested in companies earning more than their cost of capital — genuine value creators. The remaining 29% consists of companies whose ROIC falls below their WACC, effectively destroying shareholder value with every dollar invested.
ROIC-WACC spread for 53% of fund weight with available data. Not investment advice.
Concentration Risk Monitor
CRITICALRIO at 20.0% has captured LIT's portfolio. The top 3 holdings (34%) dominate the fund's variance — the remaining 7 stocks provide minimal diversification.LIT effectively behaves like a 16-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.
LIT has a low Passive Crowding Score of 9/100. On average, 2.7% of the market capitalization of LIT'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 10 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 | RIO | Rio Tinto PLC ADR Basic Materials | 20.01% | 14.9x | 4/9 |
| 2 | 002371.SZ | NAURA Technology Group Co Ltd Class A | 7.89% | 51.4x | 6/9 |
| 3 | 6752.T | Panasonic Holdings Corp | 6.19% | 18.9x | 6/9 |
| 4 | 6762.T | TDK Corp | 5.79% | 21.6x | 8/9 |
| 5 | ALB | Albemarle Corp Basic Materials | 4.64% | — | 5/9 |
| 6 | TSLA | Tesla Inc Consumer Cyclical | 4.55% | 349.4x | 5/9 |
| 7 | 006400.KS | Samsung SDI Co Ltd | 4.07% | — | — |
| 8 | 300014.SZ | EVE Energy Co Ltd Class A | 3.75% | 26.7x | — |
| 9 | 300750.SZ | Contemporary Amperex Technology Co Ltd Class A | 3.66% | 24.9x | 6/9 |
| 10 | 373220.KS | LG Energy Solution Ltd | 3.22% | — | — |
Historical Holdings Snapshots
Browse how LIT’s holdings have changed across SEC filing dates. Showing top holdings per snapshot.
2026-07-19
10 holdings · 63.8% tracked weight2026-07-18
10 holdings · 63.8% tracked weight2026-07-17
10 holdings · 63.8% tracked weight2026-07-16
10 holdings · 63.8% tracked weight2026-07-15
10 holdings · 63.8% 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 LIT Today?
Daily return attribution — which holdings contributed most (and least) to the fund's move.
Technical Setup
AI GeneratedThe current trading price of $87.12 for LIT establishes a specific context within its broader moving average envelope, though the precise position relative to the upper and lower bands cannot be definitively determined without the specific timeframe or standard deviation values defining those boundaries. In the absence of explicit band data, any assessment of mean-reversion potential remains theoretical rather than confirmed by immediate structural evidence. If this price point were situated near an outer boundary of a typical volatility channel, it might suggest heightened probability for a return toward the central trend line; conversely, if positioned centrally or beyond the opposite extreme, the implication would shift accordingly regarding momentum exhaustion or acceleration. Technical analysis often relies on such relative positioning to gauge whether an asset is overextended or underweight compared to its recent historical average behavior. Without knowing whether $87.12 represents a breakout above resistance, a pullback toward support, or a consolidation phase within the envelope, no definitive inference can be drawn regarding imminent price corrections or continuations. The market structure at this moment presents multiple equally plausible scenarios depending on missing volatility metrics and recent trend direction. Ultimately, the raw figure of $87.12 serves only as an anchor point requiring further contextual data to evaluate its significance against the dynamic moving average framework. Traders must weigh how far this price deviates from the calculated mean before forming hypotheses about potential reversals or sustained trends. The current snapshot offers a static coordinate but lacks the necessary vector information—such as slope,
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 LIT’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: 2026-07-17.
SecuritiesDB is for informational purposes only. Not investment advice.