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ANALYTICS
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WDIG

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Benchmark

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Peer Universe

Reference set for percentile ranks and factor bars

Alternatives Funds · 251 total

ANALYTICS
AnalysisScreenerGroups

WDIG

Sector

WisdomTree Efficient Rare Earth Plus Strategic Metals Fund

Expense Ratio
0.55%
AUM
$6M
Inception
5/8/2026
·

The fund invests at least 80% of net assets in equity securities and commodity metals futures contracts that provide exposure to strategic metals and rare earth mining activities. It targets a balanced allocation between approximately 90% in Equity Components, which include companies deriving at least 10% of revenue from specified metals, and Commodity Components consisting of futures contracts for metals like Aluminum, Cobalt, and Lithium. The fund concentrates investments in the Metals and Mining Industry, with significant exposure to the Materials Sector and companies primarily based in the United States, Canada, and South Africa.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
WDIG
WisdomTree Efficient Rare Earth Plus Strategic Metals Fund
-24.6%-49.2%48.4%-1.09-32.8%
ⓘ Methodology

ETF performance based on market prices. Drag on chart to select period. Sharpe Ratio uses the one-month T-bill as the risk-free rate. From 5/8/2026 to 10/7/2026.

Trailing Returns

Name
YTD1D5D1M3M6M1Y2Y3Y5YMAX
WDIG
WisdomTree Efficient Rare Earth Plus Strategic Metals Fund
-23.9%-3.4%-2.5%-13.9%-2.5%-23.9%
ⓘ Methodology

ETF performance based on market prices. Returns for periods greater than one year are annualized. As of 10/7/2026.

Annual Returns

Name
YTD
WDIG
WisdomTree Efficient Rare Earth Plus Strategic Metals Fund
-23.9%
ⓘ Methodology

ETF performance based on market prices. As of 10/7/2026.

Correlation Matrix

Benchmark

Select a second series, or to correlate with the seven research factors.

Factor Regression

Not enough overlapping history for a regression in this period.
ⓘ Methodology

ETF performance based on market prices. Daily OLS of excess return (fund − T-bill) on factor spread returns over the selected date range, intersected with each series' history. Bold with * |t| ≥ 1.96, ** |t| ≥ 2.58. Cell shading tracks each loading's t-stat. Betas are returns-based — compare with the holdings-based factor scores below. Factor returns are long-short spread returns (© Ken French, Dartmouth).

SnapshotAs ofvsⓘ

Fund ProfileSector

Family
Type
ETF
Asset Class
Peer Asset Class
Alternatives
Region
Equity Size & Style
Peer Group Benchmark
Peer Group
Alts - Capital Efficient (Multi-Asset) (13 peers)
Expense Ratio
0.55%
AUM
$6M
Inception
5/8/2026
Holdings (Reported)
112
Turnover
0%
Equity
97%
Derivatives
-1%
Net Equity Exposure
87%
Strategy Summary

The fund invests at least 80% of net assets in equity securities and commodity metals futures contracts that provide exposure to strategic metals and rare earth mining activities. It targets a balanced allocation between approximately 90% in Equity Components, which include companies deriving at least 10% of revenue from specified metals, and Commodity Components consisting of futures contracts for metals like Aluminum, Cobalt, and Lithium. The fund concentrates investments in the Metals and Mining Industry, with significant exposure to the Materials Sector and companies primarily based in the United States, Canada, and South Africa.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table. Turnover from market data (10/6/2026). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 5/31/2026. Strategy summary from the fund's prospectus.

Equity Size & Style Map

Based on equity exposure only (79% of total assets).

LargeMidSmall
4%
10%
10%
4%
9%
14%
6%
9%
34%
Large
ValueCoreGrowth
Size
Large
25%
Mid
26%
Small
49%
Style
Value
14%
Core
28%
Growth
58%
ⓘ Methodology

Equity size and style definitions. Size: each holding is scored against its own market's size curve — Large above $61.7B in the US and $21.4B elsewhere, Small below $10.8B worldwide — and a fund sits at the weighted average of its holdings. Style: each holding's Traditional Value score is ranked against stocks of the same region and size, and a fund sits at the weighted average of those ranks. Both are relative measures — where a holding stands among comparable stocks, not an absolute threshold. The dollar lines are recomputed from total market capitalisation each time the data is refreshed; the shares of the market they mark are what stay fixed. Cell shading and percentages: share of classified holdings weight per box. The grid and the dot are built from one set of per-holding scores — the dot is their weighted average — so they describe the same book at two levels of detail. The Size and Style bars are the grid's row and column totals. This fund sits close to a style border, so its label and the cell its dot lands in can name different boxes: the label changes only once a fund has moved decisively past a border. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Alternatives Funds

Based on equity exposure only (79% of total assets).

Intangible Value3.8
Traditional Value36.8
Small-Cap76.9
Quality10.5
Momentum93.5
ⓘ Methodology

Hover or click for factor definitions. Weighted average of underlying company-level values with weights equal to position size. Ranked within the clean equity fund universe, one entry per fund series (lowest: 0, highest: 100; the middle of the range is denser than the ends). Blue dots mark the fund; the shaded band spans the Alternatives Funds class 25th–75th percentile of scores, notched at the median. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Alternatives Funds

Based on equity exposure only (79% of total assets).

Valuation
Book-to-Price (NTM)40.3
Sales-to-Price (NTM)42.1
Earnings-to-Price (NTM)3.7
Innovation/IP
R&D / Mkt Cap0.83
Patents / Mkt Cap0.26
Brand
Sales & Marketing / Mkt Cap1.0
Trademarks / Mkt Cap0.05
Human Capital
PhD Employees / Mkt Cap1.9
Top University Alumni / Mkt Cap1.9
Politics
Lobbying Spend / Mkt Cap34.3
AI
AI Employees / Mkt Cap0.05
ⓘ Methodology

Hover or click for factor definitions. Weighted average of underlying company-level values with weights equal to position size. Solid blue dots mark the fund's position within the clean equity fund universe (5th–95th percentile scale); the shaded band spans the fund's broad class (Alternatives Funds) 25th–75th percentile, notched at the median. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026. Expense ratio, yield, and turnover as of 10/6/2026. AUM as of 9/30/2026.

Country Exposure

Level
54.2%
20.7%
16.8%
5.9%
4.3%
1.7%
1.0%
Other3.8%
33.6%
33.6%
12.3%
4.2%
3.1%
1.7%
1.2%
Other2.0%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Sector Exposure

Level

Based on equity exposure only (79% of total assets).

89.8%
5.7%
3.1%
1.3%
0.1%
ⓘ Methodology

Shares are percentages of the fund's classified holdings — every position we can identify, with cash and unidentified positions excluded — not portfolio weights. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

Based on equity exposure only (79% of total assets).

AI Composition

Infrastructure11.2%
Early Adopter0.0%
Laggard88.8%

Magnificent 7

Magnificent 70.0%
Non-Magnificent 7100.0%

Old vs New Economy

Old Economy98.7%
New Economy1.3%

Globalization

Multinational24.8%
Exporter30.5%
Importer8.6%
Domestic36.1%

China Exposure

China/HK Domiciled0.0%
Revenue & Operations6.7%
Operations Only3.8%
Revenue Only17.5%
No Material Exposure72.0%

Company Size

Mega (>$500B)0.0%
Large ($70–500B)9.4%
Mid ($10–70B)43.1%
Small ($1–10B)40.9%
Micro (<$1B)6.5%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 97% of net assets) — they are not portfolio weights. China exposure: domiciled = incorporated in China or Hong Kong, falling back to the filing's country for holdings outside the stock model. Among the rest, revenue = ≥15% of revenue derived from China; operations = ≥3% of LinkedIn-tracked workforce in China, or ≥2 identified Chinese suppliers making up ≥12% of those identified. China revenue is estimated where segment reporting is absent. Company size bands by holding market cap: Mega >$500B, Large $70–500B, Mid $10–70B, Small $1–10B, Micro <$1B. Old vs New Economy partitions Sparkline's 48 industries: New = technology, internet platforms and entertainment, e-commerce, payments, pharma/biotech/medtech, and renewable energy; Old = everything else. Shares are of classified holdings and sum to 100%. China shares are of total equity weight. Size shares are of scored holdings weight. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Holdings

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112 positions (top 10 shown, create for full holdings)

#NameTickerWeight %SectorIndustryCountry
1AtiATI
3.46
MaterialsIndustrial MetalsUSA
2Lynas Rare EarthsLYC
3.28
MaterialsIndustrial MetalsAUS
3MaterionMTRN
2.86
MaterialsIndustrial MetalsUSA
4Iluka ResourcesILU
2.54
MaterialsIndustrial MetalsAUS
5MP MaterialsMP
2.54
MaterialsIndustrial MetalsUSA
6Energy FuelsEFR
2.50
EnergyCoal & UraniumCAN
7Dreyfus TRSY Oblig Cash M-
2.49
--USA
8Southern CopperSCCO
2.32
MaterialsIndustrial MetalsUSA
95N PlusVNP
2.30
MaterialsChemicals & PackagingCAN
10USA Rare EarthUSAR
1.88
MaterialsIndustrial MetalsUSA
ⓘ Methodology

Sector, country and factor detail need a security match; the share of weight that matched is a member figure, so the rows without one appear here with those columns blank. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Alternatives Funds

Total Holdings112
Effective Holdings65.3
Top 10 Weight26.2%
Max Position3.5%
Top Sector (of Net Assets)71%
Top Country (of Net Assets)26%
ⓘ Methodology

Hover or click for definitions. Solid blue dots mark the fund: percentage rows on a 0–100% scale, holdings counts log-scaled across the clean-universe 5th–95th percentile range. The shaded band spans the fund's broad class (Alternatives Funds) 25th–75th percentile, notched at the median. Holdings as of 5/31/2026.

Benchmark DifferentiationRef: Alternatives Funds

vs ACWIBroad Benchmark
Active Share99.1%
ⓘ Methodology

One sub-card per benchmark: the market primary, then the style secondary — the gap between them is the style sleeve itself. Both anchors are Sparkline-inferred (market from asset class and region, style from the holdings size-and-style map), not the fund's official prospectus benchmark. Solid blue dot marks the fund; the shaded band spans the reference set's 25th–75th percentile, notched at the median (band follows the Peer Universe selector). Active Share compares the fund's book with the benchmark's, share for share; Tracking Error is the annualized daily deviation over the trailing two years (ruler runs to just past the universe's 95th percentile, or past the fund's own figure where that is larger); Benchmark Correlation is the plain daily correlation over the trailing year. Hover the labels for full definitions.

Peer Group Rank

See All Peer Groups
Metric
WDIG
WisdomTree Efficient Rare Earth Plus Strategic Metals Fund
Peer Group
13 funds
Peer Asset Class
251 funds
YTD Return
-23.91%0.31%07.46%2
1Y Return
---
3Y Return (Ann.)
---
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
0.55%0.95%621.42%92
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (25 share classes across 13 funds). One share class shown per fund — the exchange-listed class where the SEC series has one, else its longest-history class; percentile ranks and medians are computed against the same deduped set. Quartile chips fill the layer the fund's rank falls in (top layer = best quartile). Funds without a full return history rank only on the horizons they cover.

Similar Funds

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Nearest funds across the whole universe, by holdings and behavior — the peer taxonomy is ignored, so matches can come from any category.

Top Similarity64
Top Overlap
Top Active Tilt
Top Factor Match
FundPeer Group
1SETM
Sprott Critical Materials ETF
Sector - Industrial Metals & Mining
Sector - Industrial Metals & Mining
64---
2EMET
VanEck Copper and Electrification Metals ETF
Sector - Industrial Metals & Mining
Sector - Industrial Metals & Mining
51---
3METL
Sprott Active Metals & Miners ETF
Sector - Materials
Sector - Materials
51---
4EART
Global X Rare Earth & Critical Materials ETF
Sector - Industrial Metals & Mining
Sector - Industrial Metals & Mining
46---
5REMX
VanEck Rare Earth and Strategic Metals ETF
Sector - Industrial Metals & Mining
Sector - Industrial Metals & Mining
38---
6PICK
iShares MSCI Global Metals & Mining Producers ETF
Sector - Industrial Metals & Mining
Sector - Industrial Metals & Mining
38---
7ION
ProShares S&P Global Core Battery Metals ETF
Sector - Industrial Metals & Mining
Sector - Industrial Metals & Mining
38---
8SLJY
Amplify SILJ Junior Silver Miners Covered Call ETF
Options - Income
Options - Income
37---
9SILJ
Amplify Junior Silver Miners ETF
Sector - Precious Metals
Sector - Precious Metals
37---
10MINY
YieldMax(R) Strategic Metals & Mining Portfolio Option Income ETF
Options - Income
Options - Income
32---

The method columns are members-only — create a free account to see these figures.

ⓘ Methodology

Rows are the consensus top matches (a fund must place in at least two methods' top 250 to qualify, and matches missing more than one of this fund's own methods are not ranked — a row scored on fewer methods is a noisier estimate, not a better match). Click a method column to see that method's own top matches across the whole universe instead. Gray (N) beside each method's metric is that fund's rank in the whole universe on that method. Similarity is a percentile among match-grade fund pairs, 0–100 — 87 means the pair is closer than 87% of the strongest matches in the universe, averaged across the methods — so it compares across funds: index clones tie at the top with thousands of other clone pairs, so scores top out in the high 80s to 90s, while a one-of-a-kind fund's best match can score in the 30s. Rows are ordered by the Consensus Rank — the geometric mean of those universe ranks, shown in each cell's tooltip — and the score is held down the list to the level of the closest match above it, so equal scores mean equally close and the number reads as a floor. A dash means that method has no figure for the pair at all (one of them lacks the holdings or return history it needs). Hover a column header for each method's definition. The “Top…” strips above compare against every fund's own top match across the whole universe (they deliberately don't follow the Peer Universe selector); Top Similarity is simply the best match's score, with no reference band; the Holdings and Active Tilt strips carry no reference band because computing every fund's best book overlap would require a full holdings scan per fund — the dot stands alone on its natural 0–100% scale. One share class shown per fund, and a fund's own sister share classes are excluded from its Top-match strips. Holdings as of 5/31/2026. Consensus Rank is the geometric mean of the match's universe-wide rank across the methods (#1.0 = top match on every one). Holdings Overlap = common-holdings weight (sum of the minimum weight across shared positions, long only). Active Tilt Overlap = the same statistic on active weights (holdings minus the fund's own default benchmark, floored at 0), which strips the benchmark ballast that dominates raw overlap. Factor Similarity = 100 − a signature-weighted RMS gap across the composite factor scores (0–100 ranks within the clean equity fund universe), each axis weighted by how far this fund sits from the universe median of 50.